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2024
Abstract
Impact of the 2021 Flood Disasters on human social and mental health, focusing on elderly people in Germany (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. Song, C., Atun, F., Blanford, J. I. & Anthonj, C.https://doi.org/10.5194/egusphere-egu24-19474Optimizing crop type mapping for fairness (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. Gorbunov, I., Gevaert, C. & Belgiu, M.https://doi.org/10.5194/egusphere-egu24-19021Water hyacinths: Use them or lose them?: A holistic approach to a multi-faceted problem (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. Penning de Vries, M. J. M., Dube, T., Münch, F. B., Ncube, M., Anthonj, C., de Senerpont Domis, L., Lens, P., Marambanyika, T., Nondo, N., Osei, F. B., Shoko, C. & van der Wal, D.https://doi.org/10.5194/egusphere-egu24-7799XAI for small-data problems in remote sensing: monitoring Atlantic forests with UAVs (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. Chandramouli, P., Gevaert, C. M., Nattino, F., Ku, O., Pedro, A. A., Oliveira, P. d. P., Barreto, E. H. P. & Ovileira, F. d.https://doi.org/10.5194/egusphere-egu24-9192
Article
A robust method for mapping soybean by phenological aligning of Sentinel-2 time series (2024)ISPRS journal of photogrammetry and remote sensing, 218(part B), 1-18. Huang, X., Vrieling, A., Dou, Y., Belgiu, M. & Nelson, A.https://doi.org/10.1016/j.isprsjprs.2024.10.015A source-free unsupervised domain adaptation method for cross-regional and cross-time crop mapping from satellite image time series (2024)Remote sensing of environment, 314. Article 114385. Mohammadi, S., Belgiu, M. & Stein, A.https://doi.org/10.1016/j.rse.2024.114385De Olho na Mata: monitoring Atlantic forests with drones and few-shot learning (2024)International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-3-2024, 387-392. Pedro, A. A., Javan, F. D., Georgievska, S., Barreto, E. H. P., Ku, O., de Oliveira, F., Oliveira, P. d. P. & Gevaert, C.https://doi.org/10.5194/isprs-archives-xlviii-3-2024-387-2024CadastreVision: A benchmark dataset for cadastral boundary delineation from multi-resolution earth observation images (2024)ISPRS journal of photogrammetry and remote sensing, 217, 91-100. Grift, J., Persello, C. & Koeva, M. N.https://doi.org/10.1016/j.isprsjprs.2024.08.005Indicators for evaluating shared sanitation quality: a systematic review and recommendations for sanitation monitoring (2024)npj Clean Water, 7(1). Article 102. Lebu, S., Sprouse, L., Akudago, J. A., Baldwin-SoRelle, C., Muoghalu, C. C., Anthonj, C., Evans, B., Brown, J., Bartram, J. & Manga, M.https://doi.org/10.1038/s41545-024-00386-7Mapping the Brazilian savanna’s natural vegetation: A SAR-optical uncertainty-aware deep learning approach (2024)ISPRS journal of photogrammetry and remote sensing, 218, 405-421 (E-pub ahead of print/First online). Filho, P. S., Persello, C., Maretto, R. & Machado, R.https://doi.org/10.1016/j.isprsjprs.2024.09.019Building extraction from very high resolution remote sensing image with few data (2024)IEEE geoscience and remote sensing letters, 21. Article 5510305. Cui, Z., Nie, P. & Persello, C.https://doi.org/10.1109/LGRS.2024.3458432Multivariate Poisson cokriging: A geostatistical model for health count data (2024)Statistical methods in medical research, 33(9), 1637-1659. Payares-Garcia, D., Osei, F., Mateu, J. & Stein, A.https://doi.org/10.1177/09622802241268488Remote sensing vegetation Indices-Driven models for sugarcane evapotranspiration estimation in the semiarid Ethiopian Rift Valley (2024)ISPRS journal of photogrammetry and remote sensing, 215, 136-156. Woldemariam, G. W., Awoke, B. G. & Maretto, R. V.https://doi.org/10.1016/j.isprsjprs.2024.07.004The power of interactive maps for communicating spatio-temporal data to health professionals (2024)Geospatial health, 19(2). Tjaden, N. B., Geeraedts, F., Riezebos-Brilman, A., Kioko, C., al Naiemi, N., Blanford, J. I. & Beerlage - de Jong, N.https://doi.org/10.4081/gh.2024.1296Enhancing dam safety: Statistical assessment and Kalman filter for the geodetic network of Mosul dam (2024)Infrastructures, 9(9). Article 144. Alsadik, B. & Mahdi, H. A.https://doi.org/10.3390/infrastructures9090144Child feces disposal practices in humanitarian and non-humanitarian settings across 34 low- and middle-income countries (2024)Science of the total environment, 940(173547). Article 173547. Beardsley, R., Lebu, S., Anthonj, C. & Manga, M.https://doi.org/10.1016/j.scitotenv.2024.173547A closer look into variables controlling hillslope deformations in the Three Gorges Reservoir Area (2024)Engineering geology, 337. Article 107584. Sang, H., Chang, L., Xi, C., Dahal, A., Lombardo, L., Van Westen, C. J., Shi, B. & Tanyas, H.https://doi.org/10.1016/j.enggeo.2024.107584Depth estimation and 3D reconstruction from UAV-borne imagery: Evaluation on the UseGeo dataset (2024)ISPRS Open Journal of Photogrammetry and Remote Sensing, 13. Article 100065. Hermann, M., Weinmann, M., Nex, F., Stathopoulou, E. K., Remondino, F., Jutzi, B. & Ruf, B.https://doi.org/10.1016/j.ophoto.2024.100065Hierarchical building use classification from multiple modalities with a multi-label multimodal transformer network (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 132. Article 104038. Zhou, W., Persello, C. & Stein, A.https://doi.org/10.1016/j.jag.2024.104038“A question of human dignity”. Identifying solutions to improve WASH for people experiencing homelessness. A case study from Germany (2024)Water Security, 22, 1-10. Article 100176. Anthonj, C., Stanglow, S., Leinen, A., Flacke, J., Manga, M., Schmiege, D. & Grunwald, N.https://doi.org/10.1016/j.wasec.2024.100176Object-based strategy for generating high-resolution four-dimensional thermal surface models of buildings based on integration of visible and thermal unmanned aerial vehicle imagery (2024)Journal of applied remote sensing, 18(3). Article 034504. Fallah, A., Samadzadegan, F. & Javan, F. D.https://doi.org/10.1117/1.jrs.18.0345042024 IEEE GRSS data fusion contest: Rapid flood mapping [Technical Committees] (2024)IEEE geoscience and remote sensing magazine, 12(2), 109-112. Persello, C., Prasad, S., Vivone, G., Lonjou, V., Bretar, F., Rodriguez-Suquet, R., Guntzburger, P., Poulain, V., Moigne, J. L. E., Smith, B., Kumar, S. V., Huang, T., Ricci, S., Nguyen, T. H. & Piacentini, A.https://doi.org/10.1109/MGRS.2024.3367006Feature Pyramid biLSTM: Using Smartphone Sensors for Transportation Mode Detection (2024)Transportation Research Interdisciplinary Perspectives, 26(2590-1982). Article 101181. Tang, Q. & Cheng, H.https://doi.org/10.1016/j.trip.2024.101181Wasser-, Sanitaer- und Hygieneversorgung (WASH) wohnungsloser Menschen: eine Herausforderung fuer staedtische Gesundheitssysteme (2024)Wohnungslos, 2, 64-67. Article 2/24. Anthonj, C., Grunwald, N., Leinen, A. & Stanglow, S.Despeckling SAR Images With Log-Yeo–Johnson Transformation and Conditional Diffusion Models (2024)IEEE transactions on geoscience and remote sensing, 62. Article 5215417. Ma, Y., Ke, P., Aghababaei, H., Chang, L., Wei, J. & Wei, J.https://doi.org/10.1109/TGRS.2024.3419083Ixodes scapularis density and Borrelia burgdorferi prevalence along a residential-woodland gradient in a region of emerging Lyme disease risk. (2024)Scientific reports, 14. Article 13107 (E-pub ahead of print/First online). Logan, J., Knudby, A., Leighton, P. A., Talbot, B., McKay, R., Ramsay, T., Blanford, J. I., Ogden, N. & Kulkami, M.https://doi.org/10.1038/s41598-024-64085-6Adverse childhood experiences increase HIV risk factors in Agbogbloshie, Ghana (2024)Vulnerable Children and Youth Studies, 19(3), 593-608. Sznajder, K., Eshak, T., Biney, A., Dodoo, N., Wang, M., Toprah, T., Blanford, J. I., Jensen, L. & Dodoo, F.https://doi.org/10.1080/17450128.2024.2354378Automatic Road Pavement Distress Recognition Using Deep Learning Networks from Unmanned Aerial Imagery (2024)Drones , 8(6). Article 244. Samadzadegan, F., Dadrass Javan, F., Ashtari Mahini, F., Gholamshahi, M. & Nex, F.https://doi.org/10.3390/drones8060244The immediate effects of vision-zero corridor upgrades on pedestrian crashes in New York: A before-and-after spatial point process approach (2024)Accident analysis & prevention, 200. Article 107531. Sehtman-Shachar, S., Billig, P., Stein, A. & Kaplan, S.https://doi.org/10.1016/j.aap.2024.107531Deriving requirements for integrated and standardised cadastre profile from the legacy Board of Revenue and the contemporary land administration systems (2024)Survey review, 1-21. Ahsan, M. S., Hussain, E., Lemmen, C. H. J., Zevenbergen, J. A., Atif, S., Chipofya, M. C., Ali, Z., Morales Guarin, J. M. & Koeva, M. N.https://doi.org/10.1080/00396265.2024.2351624Analysing the outbreaks of leptospirosis after floods in Kerala, India (2024)International journal of health geographics, 23(11), 1-15 (E-pub ahead of print/First online). Ifejube, J., Kuriakose, S., Anish, T., van Westen, C. & Blanford, J. I.https://doi.org/10.1186/s12942-024-00372-9Efficient cloud removal network for satellite images using SAR-optical image fusion (2024)IEEE geoscience and remote sensing letters, 21, 1-5. Article 6008605. Duan, C., Belgiu, M. & Stein, A.https://doi.org/10.1109/LGRS.2024.3397875Mapping tobacco planting areas in smallholder farmlands using phenological-spatial-temporal LSTM from time-series Sentinel-1 SAR images (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 129. Article 103826. Li, M., Feng, X. & Belgiu, M.https://doi.org/10.1016/j.jag.2024.103826Automatic Building Roof Plane Extraction in Urban Environments for 3D City Modelling Using Remote Sensing Data (2024)Remote sensing, 16(8). Article 1386. Campoverde, C., Koeva, M. N., Persello, C., Maslov, K., Jiao, W. & Petrova-Antonova, D.https://doi.org/10.3390/rs16081386Cooling Effect of Green Spaces on Urban Heat Island in a Chinese Megacity: Increasing Coverage versus Optimizing Spatial Distribution (2024)Environmental science & technology, 58(13), 5811-5820. Xu, C., Huang, Q., Haase, D., Dong, Q., Teng, Y., Su, M. & Yang, Z.https://doi.org/10.1021/acs.est.3c11048Mapping integrated crop–livestock systems using fused Sentinel-2 and PlanetScope time series and deep learning (2024)Remote sensing, 16(8). Article 1421. Werner, J. P. S., Belgiu, M., Bueno, I. T., Dos Reis, A. A., Toro, A. P. S. G. D., Antunes, J. F. G., Stein, A., Lamparelli, R. A. C., Magalhães, P. S. G., Coutinho, A. C., Esquerdo, J. C. D. M. & Figueiredo, G. K. D. A.https://doi.org/10.3390/rs16081421Self-exciting point process modelling of crimes on linear networks (2024)Statistical modelling, 24(2), 139-168. D'Angelo, N., Payares-Garcia, D., Adelfio, G. & Mateu, J.https://doi.org/10.1177/1471082X221094146Spatially explicit active learning for crop-type mapping from satellite image time series (2024)Sensors (Switzerland), 24(7). Article 2108. Kaijage, B., Belgiu, M. & Bijker, W.https://doi.org/10.3390/s24072108Spatial transferability of the physically based model TRIGRS using parameter ensembles (2024)Earth surface processes and landforms, 49(4), 1330-1347. de Vugt, L., Zieher, T., Schneider‐Muntau, B., Moreno, M., Steger, S. & Rutzinger, M.https://doi.org/10.1002/esp.5770Knowledge, protective behaviours, and perception of Lyme disease in an area of emerging risk: results from a cross-sectional survey of adults in Ottawa, Ontario (2024)BMC public health, 24. Article 867 (E-pub ahead of print/First online). Logan, J., Sawada, M., Knudby, A., Ramsay, T., Blanford, J. I., Ogden, N. & Kulkarni, M. A.https://doi.org/10.1186/s12889-024-18348-6An integrated approach for mapping slow-moving hillslopes and characterizing their activity using InSAR, slope units and a novel 2-D deformation scheme (2024)Natural hazards, 120, 3919-3941. Sadhasivam, N., Chang, L. & Tanyaş, H.https://doi.org/10.1007/s11069-023-06353-8Few-shot learning for crop mapping from satellite image time series (2024)Remote sensing, 16(6). Article 1026. Mohammadi, S., Belgiu, M. & Stein, A.https://doi.org/10.3390/rs16061026Indoor functional subspace division from point clouds based on graph neural network (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 127. Article 103656. Yue, H., Wu, H., Lehtola, V., Wei, J. & Liu, C.https://doi.org/10.1016/j.jag.2024.103656Interferometric Synthetic Aperture Radar Statistical Inference in Deformation Measurement and Geophysical Inversion: A review (2024)IEEE geoscience and remote sensing magazine, 12(1), 8-35. Wang, C., Chang, L., Wang, X. S., Zhang, B. & Stein, A.https://doi.org/10.1109/MGRS.2023.3344159A deterministic descriptive regularization-based method for SAR tomography in urban areas (2024)International journal of remote sensing, 45(6), 1884-1903. Armeshi, H., Sahebi, M. R. & Aghababaei, H.https://doi.org/10.1080/01431161.2024.2321466Spectral estimation model for linear displacement and vibration monitoring with GBSAR system (2024)Mechanical systems and signal processing, 208. Article 110916. Hosseiny, B., Amini, J. & Aghababaei, H.https://doi.org/10.1016/j.ymssp.2023.110916Three-dimensional lookup table for more precise SAR scatterers positioning in urban scenarios (2024)ISPRS journal of photogrammetry and remote sensing, 209, 133-149. Wang, C., Wei, M., Qin, X., Li, T., Chen, S., Zhu, C., Liu, P. & Chang, L.https://doi.org/10.1016/j.isprsjprs.2024.01.028Deep Learning Low-cost Photogrammetry for 4D Short-term Glacier Dynamics Monitoring (2024)PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. Ioli, F., Dematteis, N., Giordan, D., Nex, F. & Pinto, L.https://doi.org/10.1007/s41064-023-00272-wIs Silent External Human–Machine Interface (eHMI) Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field (2024)International journal of human-computer interaction, 1-15. Liu, H., Li, Y., Zeg, Z., Cheng, H., Peng, C. & Wada, T.https://doi.org/10.1080/10447318.2024.2306426A method for estimating physical and economic food access at high spatial resolution (2024)Food security, 16, 47-64. Campomanes, F. V., Marshall, M. & Nelson, A.https://doi.org/10.1007/s12571-023-01404-1Co-defining WASH (In)Security challenges among people experiencing homelessness. A qualitative study on the Human Right to Water and Sanitation from Bonn, Germany (2024)Social science & medicine, 342(116561). Article 116561. Anthonj, C., Stanglow, S. & Grunwald, N.https://doi.org/10.1016/j.socscimed.2024.116561End-to-End Nano-Drone Obstacle Avoidance for Indoor Exploration (2024)Drones , 8(2). Article 33. Zhang, N., Nex, F. C., Vosselman, G. & Kerle, N.https://doi.org/10.3390/drones8020033Predicting COVID-19 hospitalizations: The importance of healthcare hotlines, test positivity rates and vaccination coverage (2024)Spatial and Spatio-temporal Epidemiology, 48, 1-8. Article 100636. van Zoest, V., Lindberg, K., Varotsis, G., Osei, F. B. & Fall, T.https://doi.org/10.1016/j.sste.2024.100636Towards Fully Autonomous UAV: Damaged Building-Opening Detection for Outdoor-Indoor Transition in Urban Search and Rescue (2024)Electronics, 13(3), 1-17. Article 558. Surojaya, A., Zhang, N., Bergado, J. R. & Nex, F.https://doi.org/10.3390/electronics13030558Understanding park visitors’ soundscape perception using subjective and objective measurement (2024)PeerJ, 12. Article e16592. Ferguson, L., Taff, B., Blanford, J. I., Mennitt, D., Mowen, A., Levenhagen, M., White, C., Monz, C., Francis, C., Barber, J. & Newman, P.https://doi.org/10.7717/peerj.16592Auditing geospatial datasets for biases: using global building datasets for disaster risk management (2024)IEEE Journal of selected topics in applied earth observations and remote sensing, 17, 12579-12590. Gevaert, C. M., Buunk, T. & van den Homberg, M. J. C.https://doi.org/10.1109/JSTARS.2024.3422503Feature enhancement network for cloud removal in optical images by fusing with SAR images (2024)International journal of remote sensing, 45(1), 51-67. Duan, C., Belgiu, M. & Stein, A.https://doi.org/10.1080/01431161.2023.2292014How to get your paper published in ‘Agriculture, Ecosystems & Environment’ (2024)Agriculture, ecosystems & environment, 359, 1-4. Article 108687. Veldkamp, A., Li, Y., Alignier, A. M., Audet, P., Bajocco, S., Chen, X., Cheng, Y., Drinkwater, L. E., Lewis, K. A., Petit, S., Saggar, S., Toyota, K. & Zheng, X.https://doi.org/10.1016/j.agee.2023.108687Large-scale fine-grained building classification and height estimation for semantic urban reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest (2024)IEEE Journal of selected topics in applied earth observations and remote sensing, 17, 11194-11207. Liu, G., Peng, B., Liu, T., Zhang, P., Yuan, M., Lu, C., Cao, N., Zhang, S., Huang, S., Wang, T., Lu, X., Jiao, L., Liu, Q., Li, L., Liu, F., Liu, X., Yang, Y., Chen, K., Yan, Z., … Hansch, R.https://doi.org/10.1109/JSTARS.2024.3403201Prevalence and determinants of stunting and anaemia in children aged 6–23 months: A multilevel analysis from rural Ethiopia (2024)Maternal and child nutrition, n/a(n/a), e13736. Guja, H., Belgiu, M., Baye, K. & Stein, A.https://doi.org/10.1111/mcn.13736Recognition of Indoor Scenes using 3D Scene Graphs (2024)IEEE transactions on geoscience and remote sensing, 62, 1-16. Article 5703216. Yue, H., Lehtola, V., Wu, H., Vosselman, G., Li, J. & Liu, C.https://doi.org/10.1109/TGRS.2024.3387556UAVPal: A New Dataset for Semantic Segmentation in Complex Urban Landscape with Efficient Multiscale Segmentation (2024)IEEE Journal of selected topics in applied earth observations and remote sensing, 17, 464-475. Maiti, A., Elberink, S. O. & Vosselman, G.https://doi.org/10.1109/JSTARS.2023.3330758Vectorizing planar roof structure from very high resolution remote sensing images using transformers (2024)International journal of digital earth, 17(1), 1-15. Zhao, W., Persello, C., Lv, X., Stein, A. & Vergauwen, M.https://doi.org/10.1080/17538947.2023.2292637
Book
Geographic information, geospatial technologies and spatial data science for health (2024)[Book/Report › Book]. CRC Press (Taylor & Francis). Blanford, J.https://doi.org/10.1201/9781003435082
Chapter
Detection of Unmonitored Graveyards in VHR Satellite Data Using Fully Convolutional Networks (2024)In Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 167-188) (Remote Sensing and Digital Image Processing; Vol. 26). Springer. Debray, H., Kuffer, M., Klaufus, C., Persello, C., Wurm, M., Taubenböck, H. & Pfeffer, K.https://doi.org/10.1007/978-3-031-49183-2_9
Conference contribution
Gathering, structuring, and analyzing the space-related educational programs and their courses at the Bachelor, Master, Phd, and continuous education levels. (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 3732-3735) (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Belgiu, M., Al Asmar, Y., Vargas Maretto, R., La, H., Ronzhin, S., Thiemann, H., Kerkezian, S., Kolehmainen, M., Bodenan, J. D., Stupar, D., Peter, N., Petrakis, G., Maddock, C. & Detsis, E.https://doi.org/10.1109/IGARSS53475.2024.10640886Glacier mapping from Sentinel-1 SAR time series with deep learning in Svalbard (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 14-17) (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Maslov, K. A., Schellenberger, T., Persello, C. & Stein, A.https://doi.org/10.1109/IGARSS53475.2024.10640676Multi-feature fusion network for efficient cloud removal using SAR-optical image fusion (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 9062-9065) (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Duan, C., Belgiu, M. & Stein, A.https://doi.org/10.1109/IGARSS53475.2024.10641774Stratified machine learning models for wheat yield estimation using remote sensing data (2024)In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1946-1949) (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Khechba, K., Belgiu, M., Laamrani, A., Dong, Q., Stein, A. & Chehbouni, A.https://doi.org/10.1109/IGARSS53475.2024.10641044Automated texture mapping CityJSON 3D city models from oblique and nadir aerial imagery (2024)In 19th 3D GeoInfo Conference 2024 (pp. 87-93) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Büyükdemircioğlu, M. & Oude Elberink, S.https://doi.org/10.5194/isprs-annals-X-4-W5-2024-87-2024LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints (2024)In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops (pp. 2039-2049). IEEE. Liu, M., Cheng, H., Chen, L., Broszio, H., Li, J., Zhao, R., Sester, M. & Yang, M. Y.https://openaccess.thecvf.com/content/CVPR2024W/MULA/html/Liu_LAformer_Trajectory_Prediction_for_Autonomous_Driving_with_Lane-Aware_Scene_Constraints_CVPRW_2024_paper.htmlFeature-guided deep learning model for mapping deprived areas (2024)In 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024. IEEE. Filho, P. S., Tareke, B., Persello, C., Kuffer, M., Maretto, R., Abascal, A., Wang, J. & MacHado, R.https://doi.org/10.1109/MIGARS61408.2024.10544988Solid Waste in the Virtual World: A Digital Twinning Approach for Waste Collection Planning (2024)In Recent Advances in 3D Geoinformation Science - Proceedings of the 18th 3D GeoInfo Conference (pp. 61-74) (Lecture Notes in Geoinformation and Cartography). Springer. Cárdenas, I., Koeva, M., Davey, C. & Nourian, P.https://doi.org/10.1007/978-3-031-43699-4_4An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images (2024)In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 2178-2185). IEEE. Cheng, H., Liu, M. & Chen, L.https://doi.org/10.1109/ITSC57777.2023.10422634User and data-centric artificial intelligence for mapping urban deprivation in multiple cities across the globe (2024)In IGARSS 2024: 2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 1553-1557) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2024). IEEE. Tareke, B., Filho, P. S., Persello, C., Kuffer, M., Maretto, R., Wang, J., Abascal, A., Pillai, P., Singh, B., D’Attoli, J. M., Kabaria, C., Pedrassoli, J., Brito, P., Elias, P., Atenógenes, E. & Santiago, A. R.https://doi.org/10.1109/IGARSS53475.2024.10640428
Dataset
Explainable few-shot learning workflow for detecting invasive and exotic tree species (2024)[Dataset Types › Dataset]. Zenodo. Ku, O., Pedro, A. A., Gevaert, C. M. & Cheng, H.https://doi.org/10.5281/zenodo.13380285
Editorial
Geospatial Health: achievements, innovations, priorities (2024)Geospatial health, 19(2). Article 1355. Amer, S., Augustijn, P. W. M., Anthonj, C., Tjaden, N. B., Blanford, J. I., van den Homberg, M. J. C., Rinaldi, L., van Rompay, T. J. L. & Zurita-Milla, R.https://doi.org/10.4081/gh.2024.1355
Other
Fieldwork experience on the 2021 Ahr valley flood impact on older adults' social and mental health: insights from survey and interviews (2024)[Contribution to conference › Other] IDRiM 2024. Song, C., Atun, F., Blanford, J. I. & Anthonj, C.
Paper
Collaborative course (re)design: adapting learning design to support curriculum transformations (2024)[Contribution to conference › Paper] 52nd SEFI Annual Conference 2024. King, J. Y., Primera, R., Verkroost, M. J., Verheij, L., Cray, L. & Blanford, J. I.https://www.conftool.net/sefi2024/index.php/King-COLLABORATIVE_COURSE-454_b.pdf?page=downloadPaper&ismobile=false&filename=King-COLLABORATIVE_COURSE-454_b.pdf&form_id=454&form_index=2&form_version=final
PhD Thesis - Research UT, graduation UT
Towards a healthier food system for rural Ethiopia: integrating food production, diets and nutrition (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Bayu, H. G.https://doi.org/10.3990/1.9789036563130Improving obesogenic environmental assessments with advanced geospatial methods (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Dai, S.https://doi.org/10.3990/1.9789036561518Crop type mapping from satellite image time series using deep learning (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Mohammadi, S.https://doi.org/10.3990/1.9789036560993Multi-Modal Earth Observation and Deep Learning for Urban Scene Understanding (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Maiti, A.https://doi.org/10.3990/1.9789036560290
Poster
Co-design approach for climate-sensitive blue and green spaces with disadvantaged urban populations (2024)[Contribution to conference › Poster] UT Climate event 2024. Sawungrana, A. R., Janeka, P., Schrammeijer, B., Martinez, J., Cerrone, D., van Rompay, T. J. L., Willems, W. & Anthonj, C.Developing a strategy for assessing the impact of the 2021 flood disaster on the elderly in the Ahr valley, Germany (2024)[Contribution to conference › Poster] EGU General Assembly 2024. Song, C., Atun, F., Blanford, J. I. & Anthonj, C.Accountable Geo-intelligence (2024)[Contribution to conference › Poster] 5th Digital Society Conference 2024 (Unpublished). Masinde, B. K., Gevaert, C. M., Nagenborg, M. H. & Zevenbergen, J. A.Algorithmic Fairness in Geo-intelligence Workflows through Causality (2024)[Contribution to conference › Poster] 3rd European Workshop on Algorithmic Fairness, EWAF 2024. Masinde, B., Gevaert, C. M., Nagenborg, M. H., van den Homberg, M. J. C. & Zevenbergen, J. A.Assess Urban Heat Risk in Enschede (2024)[Contribution to conference › Poster] TechMed Research Day 2024. Jiang, T., Amer, S. & Blanford, J. I.
Preprint
Better, Not Just More: Data-Centric Machine Learning for Earth Observation (2024)[Working paper › Preprint]. ArXiv.org (E-pub ahead of print/First online). Roscher, R., Rußwurm, M., Gevaert, C., Kampffmeyer, M., Santos, J. A. d., Vakalopoulou, M., Hänsch, R., Hansen, S., Nogueira, K., Prexl, J. & Tuia, D.https://doi.org/10.48550/arXiv.2312.05327Responsible AI for Earth Observation (2024)[Working paper › Preprint]. ArXiv.org (E-pub ahead of print/First online). Ghamisi, P., Yu, W., Marinoni, A., Gevaert, C. M., Persello, C., Selvakumaran, S., Girotto, M., Horton, B. P., Rufin, P., Hostert, P., Pacifici, F. & Atkinson, P. M.https://doi.org/10.48550/arXiv.2405.20868
Review article
A research agenda for GIScience in a time of disruptions (2024)International journal of geographical information science, 1-24 (E-pub ahead of print/First online). Nelson, T., Frazier, A., Kedron, P., Dodge, S., Zhao, B., Goodchild, M., Murray, A., Battersby, S., Bennett, L., Blanford, J. I., Cabrera-Arnau, C., Claramunt, C., Franklin, R. & Holler, J.https://doi.org/10.1080/13658816.2024.2405191Managing vector-borne diseases in a geoAI-enabled society: Malaria as an example (2024)Acta Tropica, 260. Article 107406 (E-pub ahead of print/First online). Blanford, J. I.https://doi.org/10.1016/j.actatropica.2024.107406UseGeo - A UAV-based multi-sensor dataset for geospatial research (2024)ISPRS Open Journal of Photogrammetry and Remote Sensing, 13. Article 100070. Nex, F., Stathopoulou, E. K., Remondino, F., Yang, M. Y., Madhuanand, L., Yogender, Y., Alsadik, B., Weinmann, M., Jutzi, B. & Qin, R.https://doi.org/10.1016/j.ophoto.2024.100070Shared sanitation in informal settlements: A systematic review and meta-analysis of prevalence, preferences, and quality (2024)International Journal of Hygiene and Environmental Health, 260(114392). Article 114392. Sprouse, L., Lebu, S., Nguyen, J., Muoghalu, C., Uwase, A., Guo, J., Baldwin-SoRelle, C., Anthonj, C., Simiyu, S. N., Akudago, J. A. & Manga, M.https://doi.org/10.1016/j.ijheh.2024.114392Preparing schools for future pandemics: Insights on Water, Sanitation and Hygiene solutions from the Brazilian School Reopening Policies. (2024)International Journal of Hygiene and Environmental Health, 257. Article 114325. Mingoti Poague, K. I. H., Blanford, J. I., Martinez, J. & Anthonj, C.https://doi.org/10.1016/j.ijheh.2024.114325Invisible struggles: WASH insecurity and implications of extreme weather among urban homeless in high-income countries - A systematic scoping review (2024)International Journal of Hygiene and Environmental Health, 255. Article 114285. Anthonj, C., Mingoti Poague, K. I. H., Fleming, L. & Stanglow, S.https://doi.org/10.1016/j.ijheh.2023.114285
Web publication/site
What is the social and mental health impact of flooding on older adults? (2024)[Non-textual form › Web publication/site]. Geoversity (UT-ITC). Song, C.https://www.geoversity.io/stories/1802848/what-is-the-social-and-mental-health-impact-of-flooding-on-older-adults/Impact of floods on mental and social health of elderly (2024)[Non-textual form › Web publication/site]. University of Twente. Song, C.https://www.utwente.nl/en/research/themes/resilient/newsletter%20items/floods-impact-chen-song/
2023
Abstract
The power of interactive maps for communicating spatio-temporal data to health professionals (2023)[Contribution to conference › Abstract] 16th International Symposium on Geospatial Health, GnosisGIS 2023. Tjaden, N. B., Geeraedts, F., Riezebos-Brilman, A., Kioko, C., al Naiemi, N., Blanford, J. I. & Beerlage - de Jong, N.Emerging vector-borne and zoonotic infections in the Twente-Achterhoek Region: A GeoTechMed Approach (2023)[Contribution to conference › Abstract] 16th International Symposium on Geospatial Health, GnosisGIS 2023. Kioko, C., Geeraedts, F., Riezebos-Brilman, A., Tjaden, N. B., al Naiemi, N., Beerlage - de Jong, N. & Blanford, J. I.Threat modelling for geo-spatial data in the humanitarian context (2023)[Contribution to conference › Abstract] Digital Geography Research Group Annual Conference 2023. Masinde, B. K., Nagenborg, M. H., Gevaert, C. M., Meissner, F. & Zevenbergen, J. A.Monitoring and prediction of InSAR-derived post-seismic hillslope deformation rates (2023)[Contribution to conference › Abstract] EGU General Assembly 2023. Tanyas, H., He, K., Sadhasivam, N., Lombardo, L., Chang, L., Fang, Z., Dahal, A., Fadel, I., Hu, X. & Luo, G.https://doi.org/10.5194/egusphere-egu23-14415Towards an open digital twin of soil-plant system following Open Science (2023)[Contribution to conference › Abstract] EGU General Assembly 2023. Zeng, Y., Alidoost, F., Schilperoort, B., Liu, Y., Grootes, M. W., Wang, Y., Song, Z., Yu, D., Tang, E., Han, Q., van der Tol, C., Zurita-Milla, R., Yang, M. Y., Girgin, S., Dzigan, Y. & Su, Z.https://doi.org/10.5194/egusphere-egu23-9786
Article
Causal inference from cross-sectional earth system data with geographical convergent cross mapping (2023)Nature communications, 14(1). Article 5875. Gao, B., Yang, J., Chen, Z., Sugihara, G., Li, M., Stein, A., Kwan, M. P. & Wang, J.https://doi.org/10.1038/s41467-023-41619-6Development and validation of an age-sex-ethnicity-specific metabolic syndrome score in the Chinese adults (2023)Nature communications, 14(1). Article 6988. Yang, S., Yu, B., Yu, W., Dai, S., Feng, C., Shao, Y., Zhao, X., Li, X., He, T. & Jia, P.https://doi.org/10.1038/s41467-023-42423-yExamining energy and nutrient production across the different agroecological zones in rural Ethiopia using statistical methods (2023)Food Science and Nutrition, 11(12), 7565-7580. Bayu, H. G., Belgiu, M., Embibel, L., Baye, K. & Stein, A.https://doi.org/10.1002/fsn3.3676Integrating the impacts of vegetation coverage on ecosystem services to determine ecological restoration targets for adaptive management on the Loess Plateau, China (2023)Land Degradation & Rehabilitation, 34(18), 5697-5712. He, J., Li, Y., Shi, X. & Hou, H.https://doi.org/10.1002/ldr.4871Mathematical Camera Array Optimization for Face 3D Modeling Application (2023)Sensors (Switzerland), 23(24). Article 9776. Alsadik, B., Spreeuwers, L., Dadrass Javan, F. & Manterola, N.https://doi.org/10.3390/s23249776Report on the 2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees] (2023)IEEE geoscience and remote sensing magazine, 11(4), 146-149. Hansch, R., Persello, C., Vivone, G., Chen, K., Yan, Z., Tang, D., Huang, H., Schmitt, M. & Sun, X.https://doi.org/10.1109/MGRS.2023.3302342Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information (2023)Remote sensing of environment, 297. Article 113767. Zhou, W., Persello, C., Li, M. & Stein, A.https://doi.org/10.1016/j.rse.2023.113767Evolution of spatial disease clusters via a Bayesian space-time variability modelling (2023)Spatial and Spatio-temporal Epidemiology, 47. Article 100617. Osei, F. B.https://doi.org/10.1016/j.sste.2023.100617Gatraj: A graph-and attention-based multi-agent trajectory prediction model (2023)ISPRS journal of photogrammetry and remote sensing, 205, 163-175. Cheng, H., Liu, M., Chen, L., Broszio, H., Sester, M. & Yang, M. Y.https://doi.org/10.1016/j.isprsjprs.2023.10.001Statistical Modeling of Shadows in SAR Imagery (2023)Mathematics, 11(21). Article 4437. Luo, X., Zhang, X., Bao, J., Chang, L. & Xi, W.https://doi.org/10.3390/math11214437The role of digital surveillance during outbreaks: the Ghana experience from COVID‑19 response (2023)Journal of Public Health in Africa, 14(10). Article a78. Owusu, I., Kwarteng Acheampong, G., Akyereko, E., Aryeetey Agyei, N., Ashong, M., Amofa, I., Mpangah, R. A., Kenu, E., Aboagye, R. G., Adu, C. & Agyemang, K.https://doi.org/10.4081/jphia.2023.2755A Deep Learning Solution for Height Inversion on Forested Areas Using Single and Dual Polarimetric TomoSAR (2023)IEEE geoscience and remote sensing letters, 20, 1-5. Article 2505605. Yang, W., Vitale, S., Aghababaei, H., Ferraioli, G., Pascazio, V. & Schirinzi, G.https://doi.org/10.1109/LGRS.2023.3322782AI4SmallFarms: A data set for crop field delineation in Southeast Asian smallholder farms (2023)IEEE geoscience and remote sensing letters, 20, 1-5. Article 2505705. Persello, C., Grift, J., Fan, X., Paris, C., Hänsch, R., Koeva, M. & Nelson, A.https://doi.org/10.1109/LGRS.2023.3323095A Poisson cokriging method for bivariate count data (2023)Spatial statistics, 57. Article 100769. Payares-Garcia, D., Osei, F. B., Stein, A. & Mateu, J.https://doi.org/10.1016/j.spasta.2023.100769A Rapid Parallel Mosaicking Algorithm for Massive Remote Sensing Images Utilizing Read Filtering (2023)Remote sensing, 15(19). Article 4863. Nie, P., Cui, Z. & Wan, Y.https://doi.org/10.3390/rs15194863Generating Evidential BEV Maps in Continuous Driving Space (2023)ISPRS journal of photogrammetry and remote sensing, 204, 27-41. Yuan, Y., Cheng, H., Yang, M. Y. & Sester, M.https://doi.org/10.1016/j.isprsjprs.2023.08.013Group-privacy threats for geodata in the humanitarian context (2023)ISPRS international journal of geo-information, 12(10). Article 393. Masinde, B. K., Gevaert, C. M., Nagenborg, M. H. & Zevenbergen, J. A.https://doi.org/10.3390/ijgi12100393城市场景时序 InSAR 形变解译: 问题分析与研究进展 (2023)Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 48(10), 1643-1660. Yang, M., Liao, M., Chang, L. & Hanssen, R. F.https://doi.org/10.13203/j.whugis20230289Retrospective Study of an Epidemic Vibrio cholerae in the Central Region of Ghana (2023)OAlib, 10. Article e10603. Kwarteng Acheampong, G., Owusu, I., Zumah, F., Akyereko, E. & Mpangah, R. A.https://doi.org/10.4236/oalib.1110603NeuroNorm: An R package to standardize multiple structural MRI (2023)Neurocomputing, 550. Article 126493. Payares Garcia, D. E., Mateu, J. & Schick, W.https://doi.org/10.1016/j.neucom.2023.126493Furthering Automatic Feature Extraction for Fit-for-Purpose Cadastral Updating: Cases from Peri-Urban Addis Ababa, Ethiopia (2023)Remote sensing, 15(17). Article 4155. Metaferia, M. T., Bennett, R. M., Alemie, B. K. & Koeva, M.https://doi.org/10.3390/rs15174155RelTR: Relation Transformer for Scene Graph Generation (2023)IEEE transactions on pattern analysis and machine intelligence, 45(9), 11169-11183. Cong, Y., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1109/TPAMI.2023.3268066Risk factors for Lyme disease resulting from residential exposure amidst emerging Ixodes scapularis populations: a neighbourhood-level analysis of Ottawa, Ontario. (2023)PLoS ONE, 18(8), e0290463. Article e0290463. Logan, J., Hoi, A., Sawada, M., Knudby, A., Ramsay, T., Blanford, J. I., Ogden, N. & Kulkami, M.https://doi.org/10.1371/journal.pone.0290463Automatic built-up area extraction by feature-level fusion of Luojia 1–01 nighttime light and Sentinel satellite imageries in Google Earth Engine (2023)Advances in space research, 72(4), 1052-1069. Samadzadegan, F., Toosi, A. & Dadrass Javan, F.https://doi.org/10.1016/j.asr.2023.05.015Ground penetrating radar applied to subsurface culverts (2023)Geo-spatial information science, 1-17 (E-pub ahead of print/First online). Luo, T., Zhu, S., Yikeremu, Y., Zhu, J. & Genderen, J. v.https://doi.org/10.1080/10095020.2023.2238758Assessment of knowledge and treatment practices of hepatitis B infection in children among health professionals in Krachi districts in Ghana: a cross-sectional study (2023)Journal of Public Health in Africa, 14(8). Article 2469. Mpangah, R. A., Akyereko, E., Acheampong, G. K., Ansah-Nyarko, M., Owusu, I. & Sarfo, B.https://doi.org/10.4081/jphia.2023.2469Proof of evidence of changes in global terrestrial biomes using historic and recent NDVI time series (2023)Heliyon, 9(8). Article e18686. Khormizi, H. Z., Ghafarian Malamiri, H. R., Alian, S., Stein, A., Kalantari, Z. & Ferreira, C. S. S.https://doi.org/10.1016/j.heliyon.2023.e18686Pruning for image segmentation: Improving computational efficiency for large-scale remote sensing applications (2023)ISPRS journal of photogrammetry and remote sensing, 202, 13-29. Lv, X., Persello, C., Zhao, W., Huang, X., Hu, Z., Ming, D. & Stein, A.https://doi.org/10.1016/j.isprsjprs.2023.05.024Deep learning based polarimetric data augmentation: Dual2Full-pol extension (2023)IEEE transactions on geoscience and remote sensing, 61. Aghababaei, H., Ferraioli, G., Stein, A. & Vitale, S.https://doi.org/10.1109/TGRS.2023.3299419Gangotri glacier dynamics from multi-sensor SAR and optical data (2023)Advances in space research, 72(2), 309-326. Thakur, P. K., Ambika, A. K., Bisht, S. M., Stein, A., Mahagaonkar, A., Kumar, U., Garg, V., Khajuria, V., Chouksey, A., Snehmani, Chauhan, P. & Aggarwal, S. P.https://doi.org/10.1016/j.asr.2023.03.001An AV-MV negotiation method based on synchronous prompt information on a multi-vehicle bottleneck road (2023)Transportation Research Interdisciplinary Perspectives, 20, 100845. Article 100845. Li, Y., Cheng, H., Zeng, Z., Deml, B. & Liu, H.https://doi.org/10.1016/j.trip.2023.100845Measuring polycentric urban development with multi-temporal Sentinel-1 SAR imagery: A case study in Shanghai, China (2023)International Journal of Applied Earth Observation and Geoinformation (JAG), 121. Article 103340. Zhang, X., Chang, L., Wang, M. & Stein, A.https://doi.org/10.1016/j.jag.2023.103340PRISMA and Sentinel-2 spectral response to the nutrient composition of grains (2023)Remote sensing of environment, 292. Article 113567. Belgiu, M., Marshall, M., Boschetti, M., Pepe, M., Stein, A. & Nelson, A.https://doi.org/10.1016/j.rse.2023.113567Spatial Association from the Perspective of Mutual Information (2023)Annals of the American Association of Geographers, 113(8), 1960-1976. Zhang, W. B., Ge, Y., Bai, H., Jin, Y., Stein, A. & Atkinson, P. M.https://doi.org/10.1080/24694452.2023.2209629Cropland mapping in tropical smallholder systems with seasonally stratified Sentinel-1 and Sentinel-2 spectral and textural features (2023)Remote sensing, 15(12), 1-20. Article 3014. Trivedi, M. B., Marshall, M., Estes, L., de Bie, C. A. J. M., Chang, L. & Nelson, A.https://doi.org/10.3390/rs15123014AST: Adaptive Self-supervised Transformer for optical remote sensing representation (2023)ISPRS journal of photogrammetry and remote sensing, 200, 41-54. He, Q., Sun, X., Yan, Z., Wang, B., Zhu, Z., Diao, W. & Yang, M. Y.https://doi.org/10.1016/j.isprsjprs.2023.04.003Determinants of Pneumonia mortality in Bogota, Colombia: A spatial econometrics approach (2023)Spatial and Spatio-temporal Epidemiology, 45. Article 100581. Payares-Garcia, D., Quintero-Alonso, B. & Melo-Martinez, C.https://doi.org/10.1016/j.sste.2023.100581Heatwaves in Mozambique 1983–2016: Characteristics, trends and city-level summaries using high-resolution CHIRTS-daily (2023)Weather and climate extremes, 40. Article 100565. Pereira Marghidan, C., van Aalst, M., Blanford, J. I., Guigma, K., Pinto, I., Maure, G. & Marrufo, T.https://doi.org/10.1016/j.wace.2023.100565A deep learning solution for height estimation on a forested area based on Pol-TomoSAR data (2023)IEEE transactions on geoscience and remote sensing, 61. Article 5208214. Yang, W., Vitale, S., Aghababaei, H., Ferraioli, G., Pascazio, V. & Schirinzi, G.https://doi.org/10.1109/TGRS.2023.3274395Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images (2023)ISPRS journal of photogrammetry and remote sensing, 200, 24-40. Li, M., Long, J., Stein, A. & Wang, X.https://doi.org/10.1016/j.isprsjprs.2023.04.019Modelling InSAR-derived hillslope velocities with multivariate statistics: A first attempt to generate interpretable predictions (2023)Remote sensing of environment, 289. Article 113518. He, K., Tanyas, H., Chang, L., Hu, X., Luo, G. & Lombardo, L.https://doi.org/10.1016/j.rse.2023.113518Leaving no disease behind: The roadmap to securing universal health security and what this means for the surveillance of infectious diseases in Ghana as a precedent for sub- Saharan Africa (2023)PLoS ONE, 18(4). Article e0284931. Mahama, P. N. J., Kabo-Bah, A. T., Falchetta, G., Blanford, J. I., Yamba, E. I., Antwi-Agyei, P., Asiedu-Bekoe, F., Awuah, E. & Yieri, J.https://doi.org/10.1371/journal.pone.0284931Artificial intelligence for sustainable development of smart cities and urban land-use management (2023)Geo-spatial information science, 1-25 (E-pub ahead of print/First online). Masoumi, Z. & van Genderen, J.https://doi.org/10.1080/10095020.2023.2184729Bivariate spatial clustering in differential time trends of related tropical diseases: Application to diarrhea and intestinal parasite infections (2023)Spatial statistics, 54. Article 100731. Osei, F. B. & Stein, A.https://doi.org/10.1016/j.spasta.2023.100731Future changes in urban drainage pressure caused by precipitation extremes in 285 cities across China based on CMIP6 models (2023)Sustainable Cities and Society, 91. Article 104404. Wang, P., Li, Y., Fan, J., Kong, F., Zhang, D. & Hu, T.https://doi.org/10.1016/j.scs.2023.104404Improvement in crop mapping from satellite image time series by effectively supervising deep neural networks (2023)ISPRS journal of photogrammetry and remote sensing, 198, 272-283. Mohammadi, S., Belgiu, M. & Stein, A.https://doi.org/10.1016/j.isprsjprs.2023.03.0072023 IEEE GRSS data fusion contest: Large-scale fine-grained building classification for semantic urban reconstruction [technical committees] (2023)IEEE geoscience and remote sensing magazine, 11, 94-97. Persello, C., Hansch, R., Vivone, G., Chen, K., Yan, Z., Tang, D., Huang, H., Schmitt, M. & Sun, X.https://doi.org/10.1109/MGRS.2023.3240233An object-based image analysis approach for comparing tree detection from satellite imagery at different scales; A case study in Sukumba Mali (2023)Remote Sensing Applications: Society and Environment, 30. Article 100960. Nduji, N. N., Tolpekin, V. A. & Stein, A.https://doi.org/10.1016/j.rsase.2023.100960Fusion of UAV-based infrared and visible images for thermal leakage map generation of building facades (2023)Heliyon, 9(3). Article e14551. Motayyeb, S., Samadzedegan, F., Dadrass Javan, F. & Hosseinpour, H.https://doi.org/10.1016/j.heliyon.2023.e14551Building change detection using the parallel spatial-channel attention block and edge-guided deep network (2023)International Journal of Applied Earth Observation and Geoinformation (JAG), 117. Article 103180. Eftekhari, A., Samadzadegan, F. & Dadrass Javan, F.https://doi.org/10.1016/j.jag.2023.103180Construction and Analysis of Ecological Security Patterns in the Southern Anhui Region of China from a Circuit Theory Perspective (2023)Remote sensing, 15(5). Article 1385. Lai, X., Yu, H., Liu, G., Zhang, X., Feng, Y., Ji, Y., Zhao, Q., Jiang, J. & Gu, X.https://doi.org/10.3390/rs15051385Extraction and analysis of radar scatterer attributes for PAZ SAR by combining time series InSAR, PolSAR, and land use measurements (2023)Remote sensing, 15(6). Article 1571. Chang, L., Kulshrestha, A., Zhang, B. & Zhang, X.https://doi.org/10.3390/rs15061571A dynamic spatio-temporal stochastic modeling approach of emergency calls in an urban context (2023)Mathematics, 11(4). Article 1052. Payares-Garcia, D., Platero, J. & Mateu, J.https://doi.org/10.3390/math11041052Prospects of consumer-grade UAVs for overpass bridges pier pads alignment (2023)Remote sensing, 15(4). Article 877. Jaafar, H. A. & Alsadik, B.https://doi.org/10.3390/rs15040877Associations between Different Ozone Indicators and Cardiovascular Hospital Admission: A Time-Stratified Case-Crossover Analysis in Guangzhou, China (2023)International journal of environmental research and public health, 20(3). Article 2056. Zhang, X., Maji, K. J., Wang, Z., Yang, F. F., Wang, G. & Cheng, C.https://doi.org/10.3390/ijerph20032056Can digital twin techniques serve city needs?: European cities face sustainability challenges and more (2023)GIM International, 37, 12-15. Lehtola, V. V. & Markkula, M.https://www.gim-international.com/content/article/can-digital-twin-techniques-serve-city-needsFirst Demonstration of Space-Borne Polarization Coherence Tomography for Characterizing Hyrcanian Forest Structural Diversity (2023)Remote sensing, 15(3). Article 555. Poorazimy, M., Shataee, S., Aghababaei, H., Tomppo, E. & Praks, J.https://doi.org/10.3390/rs15030555Semantic-aware unsupervised domain adaptation for height estimation from single-view aerial images (2023)ISPRS journal of photogrammetry and remote sensing, 196, 372-385. Zhao, W., Persello, C. & Stein, A.https://doi.org/10.1016/j.isprsjprs.2023.01.003Structural displacement monitoring using ground-based synthetic aperture radar (2023)International Journal of Applied Earth Observation and Geoinformation (JAG), 116. Article 103144. Hosseiny, B., Amini, J. & Aghababaei, H.https://doi.org/10.1016/j.jag.2022.103144Comparison of the association between different ozone indicators and daily respiratory hospitalization in Guangzhou, China (2023)Frontiers in Public Health, 11. Article 1060714. Lin, G., Wang, Z., Zhang, X., Stein, A., Maji, K. J., Cheng, C., Osei, F. B. & Yang, F. F.https://doi.org/10.3389/fpubh.2023.1060714Spatially informed Bayesian neural network for neurodegenerative diseases classification (2023)Statistics in medicine, 42(2), 105-121. Payares-Garcia, D., Mateu, J. & Schick, W.https://doi.org/10.1002/sim.9604UAV Remote Sensing for Smart Agriculture (2023)GIM International, 2023(1), 14-17. Article issue 7 volume 36. Alsadik, B., Dadrass Javan, F. & Nex, F. C.Using spatial indices to measure dynamic racial residential segregation in Gauteng province (South Africa) (2023)South African geographical journal, 105(1), 1-33. Katumba, S., Coetzee, S., Stein, A. & Fabris-Rotelli, I.https://doi.org/10.1080/03736245.2021.1997793Enabling high-resolution micro-vibration detection using ground-based synthetic aperture radar: A case study for pipeline monitoring (2023)Remote sensing, 15(16), 1-18. Article 3981. Hosseini, B., Amini, J., Aghababaei, H. & Ferraioli, G.https://doi.org/10.3390/rs15163981GaVe: A webcam-based gaze vending interface using one-point calibration (2023)Journal of Eye Movement Research, 16(1), 1-13. Zeng, Z., Liu, S., Cheng, H., Liu, H., Li, Y., Feng, Y. & Siebert, F. W.https://doi.org/10.16910/jemr.16.1.2Investigating earthquake legacy effect on hillslope deformation using InSAR-derived time series (2023)Earth surface processes and landforms, 1-11. He, K., Lombardo, L., Chang, L., Sadhasivam, N., Hu, X., Fang, Z., Dahal, A., Fadel, I., Luo, G. & Tanyas, H.https://doi.org/10.1002/esp.5746Investigating relationships between landscape patterns and surface runoff from a spatial distribution and intensity perspective (2023)Journal of environmental management, 325. Article 116631. Wang, L., Hou, H., Li, Y., Pan, J., Wang, P., Wang, B., Chen, J. & Hu, T.https://doi.org/10.1016/j.jenvman.2022.116631Micro-vibration monitoring of pipelines using millimetre-wave MIMO radar (2023)Remote sensing letters, 14(12), 1324-1334. Hosseiny, B., Amini, J. & Aghababaei, H.https://doi.org/10.1080/2150704X.2023.2291424Spatial variation and clustering of anaemia prevalence in school-aged children in Western Kenya (2023)PLoS ONE, 18(11), e0282382. Article e0282382. Robert, B., Cherono, A., Mumo, E., Mwandawiro, C., Collins, O., Gichuki, P., Blanford, J. I., Snow, R. & Okiro, E.https://doi.org/10.1371/journal.pone.0282382Strict rule-based automatic training data extraction using Mobile laser scanning in urban area (2023)ISPRS journal of photogrammetry and remote sensing, 195, 313-334. Ma, Z., Oude Elberink, S., Lin, Y., Xu, P., Xiang, B., Koch, B. & Weinacker, H.https://doi.org/10.1016/j.isprsjprs.2022.10.007Urban flood susceptibility mapping based on social media data in Chengdu city, China (2023)Sustainable Cities and Society, 88. Article 104307. Li, Y., Osei, F. B., Hu, T. & Stein, A.https://doi.org/10.1016/j.scs.2022.104307Water, sanitation and hygiene (WASH) in schools in Brazil pre-and peri-COVID-19 pandemic: Are schools making any progress? (2023)International Journal of Hygiene and Environmental Health, 247. Article 114069. Mingoti Poague, K. I. H., Blanford, J. I., Martinez, J. & Anthonj, C.https://doi.org/10.1016/j.ijheh.2022.114069
Chapter
Dense point cloud extraction from UAV imagery using parallax attention (2023)In Geospatial Week 2023, Vol. 10-1: ISPRS Geospatial Week 2023 (pp. 1027-1032) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Bergado, J. R. & Nex, F. C.https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1027-2023Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMU (2023)In Geospatial Week 2023, Vol. 10-1 (pp. 439-445) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Udugama, U. V. B. L., Vosselman, G. & Nex, F.https://doi.org/10.5194/isprs-annals-X-1-W1-2023-439-2023Hybrid adjustment of UAS-based LiDAR and image data (2023)In Geospatial Week 2023, Vol. 48-1: ISPRS Geospatial Week 2023 (pp. 633-640). Copernicus. Alsadik, B., Nex, F. & Yadav, Y.https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-633-2023Speckle Reduction in SAR Images (2023)In Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (pp. 13-44). CRC Press (Taylor & Francis). Aghababaei, H. & Stein, A.https://doi.org/10.1201/9781003204466-2Synergistic fusion of spaceborne polarimetric SAR and hyperspectral data for land cover classification (2023)In Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (pp. 169-210). CRC Press/Balkema. Kumar, V., Venkatachalaperumal, S. R. & Persello, C.https://doi.org/10.1201/9781003204466-8Automatic road crack recognition based on deep learning networks from UAV imagery (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 685-690) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Samadzadegan, F., Dadrass javan, F., Hasanlou, M., Gholamshahi, M. & Ashtari mahini, F.https://doi.org/10.5194/isprs-annals-X-4-W1-2022-685-2023Decision-based fusion of pansharpened VHR satellite images using two-level rolling self-guidance filtering and edge information (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 691-698) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Samadzadegan, F., Toosi, A., Dadrass javan, F. & Stein, A.https://doi.org/10.5194/isprs-annals-X-4-W1-2022-691-2023Effect of keyframes extraction from thermal infrared video stream to generate dense point cloud of the building's facade (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 551-561) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Motayyeb, S., Samadzadegan, F., Dadrass javan, F. & Hosseinpour, H. r.https://doi.org/10.5194/isprs-annals-X-4-W1-2022-551-2023Evaluation of the potential of aerial thermal imagery to generate 3D point clouds (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 57-62) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Alebooye, S., Samadzadegan, F. & Dadrass javan, F.https://doi.org/10.5194/isprs-annals-X-4-W1-2022-57-2023An Insight to the Lunar Surface: Characterization From the L- and S-Band Polarimetric Data (2023)In Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (pp. 363-392). CRC Press/Balkema. Singh, A., Kumar, S. & Chang, L.https://doi.org/10.1201/9781003204466-17Efficient UAV flight planning for LOD2 city model improvement (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2023 (pp. 1105-1112) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Wu, Y.-L., Alsadik, B., Oude Elberink, S. & Vosselman, G.https://doi.org/10.5194/isprs-annals-X-1-W1-2023-1105-2023Needle in a haystack: feasibility of identifying small safety assets from point clouds using deep learning (2023)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2023 (pp. 461-468) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Anjanappa, G., Nikoohemat, S., Oude Elberink, S., Vôute, R. L. & Lehtola, V. V.https://doi.org/10.5194/isprs-annals-X-1-W1-2023-461-2023
Comment/Letter to the editor
Author Correction: Causal inference from cross-sectional earth system data with geographical convergent cross mapping (Nature Communications, (2023), 14, 1, (5875), 10.1038/s41467-023-41619-6) (2023)Nature communications, 14(1). Article 7288. Gao, B., Yang, J., Chen, Z., Sugihara, G., Li, M., Stein, A., Kwan, M. P. & Wang, J.https://doi.org/10.1038/s41467-023-43055-y
Conference article
Benchmarking the Extraction of 3d Geometry From Uav Images with Deep Learning Methods (2023)International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 48(1/W3-2023), 123-130. Nex, F., Zhang, N., Remondino, F., Farella, E. M., Qin, R. & Zhang, C.https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-123-2023
Conference contribution
Preface: Workshop “ISSDQ 2023: Artificial Intelligence and Uncertainty Modeling in Spatial Analysis” (2023)In ISPRS Geospatial Week 2023 (pp. 1989-1990) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Delavar, M. R., Stein, A. & Shi, J. W. Z.https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1989-2023Vehicle Tracking and Speed Estimation From Unmanned Aerial Vehicles Using Segmentation-initialised Trackers (2023)In Geospatial Week 2023, Vol. 10-1 (pp. 431-437) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Tilon, S. M. & Nex, F.https://doi.org/10.5194/isprs-annals-X-1-W1-2023-431-2023Extracting Polygons of Visible Cadastral Boundaries Using Deep Learning (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium (pp. 915-918). Article 10282644. IEEE. Tareke, B., Koeva, M. & Persello, C.https://doi.org/10.1109/IGARSS52108.2023.10282644Tracing the Influence of Predecessors on Trajectory Prediction (2023)In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops (pp. 3253-3263) (Proceedings IEEE/CVF International Conference on Computer Vision Workshops (ICCVW); Vol. 2023). IEEE. Liu, M., Cheng, H. & Yang, M. Y.https://doi.org/10.1109/ICCVW60793.2023.00349Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation (2023)In 2023 Ieee/cvf Conference On Computer Vision And Pattern Recognition (cvpr) (pp. 18537-18546). Zhang, N., Nex, F. C., Vosselman, G. & Kerle, N.https://doi.org/10.1109/CVPR52729.2023.01778Architectural heritage 3D modelling using unmanned aerial vehicles multi-view imaging (2023)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 29th CIPA Symposium “Documenting, Understanding, Preserving Cultural Heritage. Humanities and Digital Technologies for Shaping the Future” (pp. 1395-1402) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Samadzadegan, F., Dadrass Javan, F. & Zeynalpoor Asl, M.https://doi.org/10.5194/isprs-archives-XLVIII-M-2-2023-1395-2023Building usage classification using a transformer-based multimodal deep learning method (2023)In 2023 Joint Urban Remote Sensing Event, JURSE 2023 (2023 Joint Urban Remote Sensing Event, JURSE 2023). IEEE. Zhou, W., Persello, C. & Stein, A.https://doi.org/10.1109/JURSE57346.2023.10144168IDeaMapSudan: Geo-spatial modelling of urban poverty (2023)In 2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE. Kuffer, M., Ali, I. M. M., Gummah, A., Da Silva Mano, A., Sakhi, W., Kushieb, I., Girgin, S., Eltiny, N., Kumi, J., Abdallah, M., Bad, M., Ahmed, F., Hamza, M., Wang, J., Elzaki, T., Gevaert, C. & Flasse, C.https://doi.org/10.1109/JURSE57346.2023.10144211Learning general representations for semantic segmentation and height estimation from remote sensing images (2023)In 2023 Joint Urban Remote Sensing Event (2023 Joint Urban Remote Sensing Event, JURSE 2023). IEEE. Zhao, W., Persello, C., Ding, H. & Stein, A.https://doi.org/10.1109/JURSE57346.2023.10144138Cycling to get my vaccination: how accessible are COVID-19 vaccination centers in the Netherlands (2023)In 26th AGILE Conference on Geographic Information Science : Spatial data for design (pp. 1-7). Article 16 (AGILE: GIScience Series). Copernicus. Al-Huraibi, A., Amer, S. & Blanford, J. I.https://doi.org/10.5194/agile-giss-4-16-2023ENDIG: Interactive Geovisualization of Surveillance Systems for Notifiable Diseases in Europe (2023)In 26th AGILE Conference on Geographic Information Science : Spatial data for design (pp. 1-6). Article 46 (AGILE: GIScience Series). Copernicus. Tjaden, N. B. & Blanford, J. I.https://doi.org/10.5194/agile-giss-4-46-2023Extreme heat alerts and impacts across Mozambique 2016 - 2022: Gathering evidence from media articles (2023)In 26th AGILE Conference on Geographic Information Science “Spatial data for design” (pp. 1-13). Article 11 (AGILE: GIScience Series). Copernicus. Pereira Marghidan, C., van Aalst, M. K., Blanford, J. I., Marrufo, T. & Maure, G.https://doi.org/10.5194/agile-giss-4-11-2023Malaria in Kenya during 2020: malaria indicator survey and suitability mapping for understanding spatial variations in prevalence, intervention and risk (2023)In 26th AGILE Conference on Geographic Information Science : Spatial data for design (pp. 1-5). Article 31 (AGILE: GIScience Series). Copernicus. Kioko, C. & Blanford, J. I.https://doi.org/10.5194/agile-giss-4-31-2023Cadastral boundary delineation using deep learning and remote sensing imagery: state of the art and future developments (2023)In FIG Working Week 2023: Protecting Our World, Conquering New Frontiers. International Federation of Surveyors (FIG). Grift, J., Persello, C. & Koeva, M. N.https://fig.net/fig2023/technical_program.htmImproving semantic segmentation of high-resolution remote sensing images using Wasserstein generative adversarial network (2023)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 45-51) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Hosseinpour, H. r., Samadzadegan, F., Dadrass javan, F. & Motayyeb, S.https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-45-2023Building change detection by W-shape resunet++ network with triple attention mechanism (2023)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 23-29) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Eftekhari, A., Samadzadegan, F. & Dadrass javan, F.https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-23-2023BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models (2023)In IEEE/CVF International Conference on Computer Vision (ICCV) Workshops (pp. 2910-2919). IEEE. Wei, Y., Vosselman, G. & Yang, M. Y.Deep Learning and Cloudy Optical Time Series: A Case of Study with LSTM to Map LULC in Pantanal (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 7179-7182) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. Matosak, B. M., Fonseca, L. M. G. & Maretto, R. V.https://doi.org/10.1109/IGARSS52108.2023.10282993Empowering students with geospatial solutions through challenge-based learning (2023)In SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings (pp. 315-324) (SEFI 2023 - 51st Annual Conference of the European Society for Engineering Education: Engineering Education for Sustainability, Proceedings). Societe Europeenne pour la Formation des Ingenieurs (SEFI). Dadrass Javan, F., Nex, F., Samadzadegan, F., Alsadik, B., Buuk, L. & Askari, O.https://doi.org/10.21427/H6EN-NS11ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction (2023)In 2023 IEEE Intelligent Vehicles Symposium (IV). IEEE. Zhang, W., Cheng, H., Johora, F. T. & Sester, M.GLAVITU: A Hybrid CNN-Transformer for Multi-Regional Glacier Mapping from Multi-Source Data (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1233-1236) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. Maslov, K. A., Persello, C., Schellenberger, T. & Stein, A.https://doi.org/10.1109/IGARSS52108.2023.10281828Hypersaline Tidal Flats Detection Using Deep Learning Over 37 Years of Landsat Data (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 3337-3340) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. Pinheiro, M. L., Cortinhas, L., Diniz, C., Maretto, R. V. & Grellert, M.https://doi.org/10.1109/IGARSS52108.2023.10282540Icepy4d: A Python Toolkit for Advanced Multi-epoch Glacier Monitoring with Deep-learning Photogrammetry (2023)In Geospatial Week 2023, Vol. 48-1 (pp. 1037-1044) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Ioli, F., Barbieri, F., Gaspari, F., Nex, F. & Pinto, L.https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1037-2023Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 1365-1368) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023). IEEE. Filho, P. S., Persello, C., Maretto, R. V. & MacHado, R.https://doi.org/10.1109/IGARSS52108.2023.10282190Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning (2023)In IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 4990-4993) (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE. Sastry, S., Jacobs, N., Belgiu, M. & Maretto, R. V.https://doi.org/10.1109/IGARSS52108.2023.10281434TransFusion: Multi-modal Fusion Network for Semantic Segmentation (2023)In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 (pp. 6537-6547) (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2023-June). IEEE. Maiti, A., Elberink, S. 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Dataset
Code and data to support 'Street view imagery for built environment auditing: a systematic review' (2023)[Dataset Types › Dataset]. Zenodo. Dai, S., Stein, A., Li, Y., Yang, S. & Jia, P.https://doi.org/10.5281/zenodo.8381347AI4SmallFarms: A Data Set for Crop Field Delineation in Southeast Asian Smallholder Farms (2023)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Persello, C.https://doi.org/10.17026/dans-xy6-ngg6UAVPal (2023)[Dataset Types › Dataset]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Maiti, A., Oude Elberink, S. & Vosselman, G.https://doi.org/10.17026/dans-z55-6gt4Deep learning low-cost photogrammetry for 4D short-term glacier dynamics monitoring - Supplementary material (2023)[Dataset Types › Dataset]. Zenodo. Ioli, F., Niccolò, D., Daniele, G., Francesco, N. & Livio, P.https://doi.org/10.5281/zenodo.8164639UseGEO dataset (2023)[Dataset Types › Dataset]. International Society for Photogrammetry and Remote Sensing (ISPRS). Nex, F.
Editorial
Geospatial Health (GeoHealth): Current trends, methods, and applications (2023)Tropical Medicine and Infectious Disease, 8(7). Article 366. Osei, F. B. & Sasidharan, S.https://doi.org/10.3390/tropicalmed8070366Editorial of theme issue “3D Modeling of Indoor Environments” (2023)ISPRS journal of photogrammetry and remote sensing, 195, 220-221. Kang, Z., Wang, C., Khoshelham, K. & Lehtola, V.https://doi.org/10.1016/j.isprsjprs.2022.11.019
Paper
Do health risk perceptions motivate water- and health-related behaviour? (2023)[Contribution to conference › Paper] NOPREN Drinking Water Working Group Webinar Series 2023. Anthonj, C.Transforming curriculums for an age of multi-modal education: a 5-phase approach (2023)[Contribution to conference › Paper] 51st Annual Conference of the European Society for Engineering Education, SEFI 2023. Blanford, J. I. & Verplanke, J. J.https://www.sefi2023.eu/book-of-proceedings
PhD Thesis - Research UT, graduation UT
A Routine and Post-disaster Road Corridor Monitoring Framework for the Increased Resilience of Road Infrastructures (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Tilon, S. M.https://doi.org/10.3990/1.9789036557115InSAR time series analysis for sinkhole detection using deep learning (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Kulshrestha, A.https://doi.org/10.3990/1.9789036557283Quantifying earth surface changes with multi-sensor SAR imagery (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Zhang, B.https://doi.org/10.3990/1.9789036554985
Poster
Health Promotion and Homelessness in Germany. Co-defining Challenges, Co-designing Methods, Co-creating Solutions (2023)[Contribution to conference › Poster] 1st International Citizen Science for Health Conference, CS4H 2023. Anthonj, C., Stanglow, S., Mingoti Poague, K. I. H., Flacke, J., Leinen, A., Fleming, L., Shuro, S. M. & Grunwald, N.Becoming fit for the future: Facilitating transformational change in a Master’s programme: Redeveloping curricula while increasing the appreciation for blended teaching (2023)[Contribution to conference › Poster] Kennisdelingsbijeenkomst Slimmer Collegejaar 2023. Blanford, J. I. & Verplanke, J. J.Prioritizing the location of vaccination centers during a pandemic by bikes in The Netherlands. Poster Presentation. (2023)[Contribution to conference › Poster] 16th International Symposium on Geospatial Health, GnosisGIS 2023. Al-Huraibi, A., Amer, S. & Blanford, J. I.Satellites for geohealth: improving health researchers’ access and use of satellite data (2023)[Contribution to conference › Poster] KNAW Symposium Planetary Health 2023. Penning de Vries, M. J. M., Kioko, C., Tjaden, N. B., Belgiu, M. & Blanford, J. I.
Preprint
Roof Structure Extraction from Aerial Images and nDSM using Deep Learning (2023)[Working paper › Preprint]. Kenzhebay, M., Zhao, W., Koeva, M. N. & Persello, C.https://doi.org/10.20944/preprints202309.0762.v1Mono-hydra: Real-time 3D scene graph construction from monocular camera input with IMU (2023)[Working paper › Preprint]. ArXiv.org. Udugama, U. V. B. L., Vosselman, G. & Nex, F.https://doi.org/10.48550/arXiv.2308.05515
Report
Drones for Humanitarian Action: Use Cases and Data Responsibility: A Guide on Drone Use Cases, what is needed for Drone Operations, and Data Responsibility Considerations (2023)[Book/Report › Report]. Gevaert, C. M., Juskauskas , T., Alunge NNangsope, R. A., Zevenbergen, J. A. & Scheibenreif, M.https://doi.org/10.5281/zenodo.10682492
Review article
Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China (2023)International Journal of Applied Earth Observation and Geoinformation (JAG), 125. Article 103539. Dai, S., Zhao, W., Wang, Y., Huang, X., Chen, Z., Lei, J., Stein, A. & Jia, P.https://doi.org/10.1016/j.jag.2023.103539Preparing for future outbreaks in Ghana: An overview of current COVID-19, monkeypox, and Marburg disease outbreaks (2023)Health Promotion Perspectives, 13(3), 202-211. Owusu, I., Adu, C., Aboagye, R. G., Mpangah, R. A., Acheampong, G. K., Akyereko, E., Bonsu, E. O. & Peprah, P.https://doi.org/10.34172/hpp.2023.25The effects of racism, social exclusion, and discrimination on achieving universal safe water and sanitation in high-income countries (2023)The Lancet Global Health, 11(4), e606-e614. Brown, J., Acey, C. S., Anthonj, C., Barrington, D. J., Beal, C. D., Capone, D., Cumming, O., Fedinick, K. P., MacDonald Gibson, J., Hicks, B., Kozubik, M., Lakatosova, N., Linden, K., Love, N. G., Mattos, K. J., Murphy, H. M. & Winkler, I. T.https://doi.org/10.1016/S2214-109X(23)00006-2Digital earth: yesterday, today, and tomorrow (2023)International journal of digital earth, 16(1), 1022-1072. Annoni, A., Nativi, S., Çöltekin, A., Desha, C., Eremchenko, E., Gevaert, C. M., Giuliani, G., Chen, M., Perez-Mora, L., Strobl, J. & Tumampos, S.https://doi.org/10.1080/17538947.2023.2187467
Short survey
Ethikprüfung in der Geographie - Ergebnisse der Mitgliederbefragung und Einladung zum Panel im Rahmen des DKG (2023)Rundbrief Geographie, 305, 17-20. Article 305. Butsch, C., Falkenberg, T., Timm, C., Anthonj, C., Heinkel, S.-B., Kistemann, T. & Schmiege, D.
2022
Abstract
Supervised LSTM modelling for classification of sinkhole-related anomalous InSAR deformation time series (2022)[Contribution to conference › Abstract] EGU General Assembly 2022. Kulshrestha, A., Chang, L. & Stein, A.https://meetingorganizer.copernicus.org/EGU22/EGU22-4618.html
Article
Coping with ill-health while lacking access to health care: Acceptability of health service provision in rural Malawi -a qualitative study (2022)Global Health Action, 15(1), 2062174. Article 2062174. Ritter, R., Nkhwalingwa, N., Anthonj, C. & Kistemann, T.https://doi.org/10.1080/16549716.2022.2062174Integrating remote sensing and street view imagery for mapping slums (2022)ISPRS international journal of geo-information, 11(12), 1-19. Article 631. Najmi, A., Gevaert, C. M., Kohli, D., Kuffer, M. & Pratomo, J.https://doi.org/10.3390/ijgi11120631Dielectric characterization and polarimetric analysis of lunar north polar crater Hermite-A using Chandrayaan-1 Mini-SAR, Lunar Reconnaissance Orbiter (LRO) Mini-RF, and Chandrayaan-2 DFSAR data (2022)Advances in space research, 70(12), 4030-4055. Singh, A., Sharma, A., Kumar, S., Chang, L., Vashishtha, A., Raj, R., Agrawal, S. & Chauhan, P.https://doi.org/10.1016/j.asr.2022.04.059Mapping Samudra Tapu glacier: A holistic approach utilizing radar and optical remote sensing data for glacier radar facies mapping and velocity estimation (2022)Advances in space research, 70(12), 3975-3999. Sood, S., Thakur, P. K., Stein, A., Garg, V. & Dixit, A.https://doi.org/10.1016/j.asr.2022.10.030Intensifying the spatial resolution of 3D thermal models from aerial imagery using deep learning-based image super-resolution (2022)Geocarto international, 37(26), 13518-13538. Fallah, A., Samadzadegan, F. & Dadrass Javan, F.https://doi.org/10.1080/10106049.2022.2082544A sensitive soil biological indicator to changes in land-use in regions with Mediterranean climate (2022)Scientific reports, 12(1), 1-10. Article 22216. Steinberger, Y., Stein, A., Dorman, M., Svoray, T., Doniger, T., Rinot, O. & Gil, E.https://doi.org/10.1038/s41598-022-26240-9Bias of area counted from sub-pixel map: Origin and correction (2022)Science of Remote Sensing, 6. Article 100069. Dong, Q., Chen, X., Chen, J., Yin, D., Zhang, C., Xu, F., Rao, Y., Shen, M., Chen, Y. & Stein, A.https://doi.org/10.1016/j.srs.2022.100069Future urban waterlogging simulation based on LULC forecast model: A case study in Haining City, China (2022)Sustainable Cities and Society, 87. Article 104167. Yang, K., Hou, H., Li, Y., Chen, Y., Wang, L., Wang, P. & Hu, T.https://doi.org/10.1016/j.scs.2022.104167Locality guided cross-modal feature aggregation and pixel-level fusion for multispectral pedestrian detection (2022)Information Fusion, 88, 1-11. Cao, Y., Luo, X., Yang, J., Cao, Y. & Yang, M. Y.https://doi.org/10.1016/j.inffus.2022.06.008Report on the 2022 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Semisupervised learning (2022)IEEE geoscience and remote sensing magazine, 10(4), 270-273. Hansch, R., Persello, C., Vivone, G., Castillo Navarro, J., Boulch, A., Lefevre, S. & Le Saux, B.https://doi.org/10.1109/MGRS.2022.3219935Short-term health impacts related to ozone in China before and after implementation of policy measures: A systematic review and meta-analysis (2022)Science of the total environment, 847. Article 157588. Zhang, X., Yan, B., Zhou, Y., Osei, F. B., Li, Y., Zhao, H., Cheng, C. & Stein, A.https://doi.org/10.1016/j.scitotenv.2022.157588Microdrone-Based Indoor Mapping with Graph SLAM (2022)Drones , 6(11), 1-26. Article 352. Karam, S., Nex, F., Chidura, B. T. & Kerle, N.https://doi.org/10.3390/drones6110352Assessing the generalization capability of deep learning networks for aerial image classification using landscape metrics (2022)International Journal of Applied Earth Observation and Geoinformation (JAG), 114. Article 103054. Gevaert, C. M. & Belgiu, M.https://doi.org/10.1016/j.jag.2022.103054Digital twin of a city: Review of technology serving city needs (2022)International Journal of Applied Earth Observation and Geoinformation (JAG), 114. Article 102915. Lehtola, V. V., Koeva, M., Oude Elberink, S., Raposo, P., Virtanen, J.-p., Vahdatikhaki, F. & Borsci, S.https://doi.org/10.1016/j.jag.2022.102915Object detection in aerial images: A large-scale benchmark and challenges (2022)IEEE transactions on pattern analysis and machine intelligence, 44(11), 7778-7796. Ding, J., Xue, N., Xia, G. S., Bai, X., Yang, W., Yang, M., Belongie, S., Luo, J., Datcu, M., Pelillo, M. & Zhang, L.https://doi.org/10.1109/TPAMI.2021.3117983Simulating a hybrid acquisition system for UAV platforms (2022)Drones , 6(11). Article 314. Alsadik, B., Remondino, F. & Nex, F.https://doi.org/10.3390/drones6110314Temporal and spatial evolution of short-term exposure to ozone pollution: Its health impacts in China based on a meta-analysis (2022)Journal of cleaner production, 373. Article 133938. Zhang, X., Osei, F., Stein, A., Cheng, C. & Maji, K. J.https://doi.org/10.1016/j.jclepro.2022.133938Tropospheric wet tomography and PPP: Joint estimation from GNSS crowdsourcing data (2022)Advances in space research, 70(8), 2399-2411. Lehtola, V. V., Mäkelä, M., de Oliveira Marques, T. & Montloin, L.https://doi.org/10.1016/j.asr.2022.08.004Commuters’ accessibility to transportation lifelines in Karaj city, Iran: A fuzzy approach (2022)Sustainable Cities and Society, 85, 1-14. Article 104037. 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Long, J., Li, M., Wang, X. & Stein, A.https://doi.org/10.1016/j.jag.2022.102871Early ecological security warning of cultivated lands using RF-MLP integration model: A case study on China's main grain-producing areas (2022)Ecological indicators, 141. Article 109059. Zou, S., Zhang, L., Huang, X., Osei, F. B. & Ou, G.https://doi.org/10.1016/j.ecolind.2022.109059Explainable AI for earth observation: A review including societal and regulatory perspectives (2022)International Journal of Applied Earth Observation and Geoinformation (JAG), 112. Article 102869. Gevaert, C. M.https://doi.org/10.1016/j.jag.2022.102869Fusion of multi-light source illuminated images for effective defect inspection on highly reflective surfaces (2022)Mechanical systems and signal processing, 175, 1-13. Article 109109. Fu, G., Jia, S., Zhu, W., Yang, J., Cao, Y., Yang, M. Y. & Cao, Y.https://doi.org/10.1016/j.ymssp.2022.109109Integrating semi-supervised learning with an expert system for vegetation cover classification using Sentinel-2 and RapidEye data (2022)Remote sensing, 14(15), 1-18. Article 3605. Farsad Layegh, N., Darvishzadeh, R., Skidmore, A. K., Persello, C. & Kruger, N.https://doi.org/10.3390/rs14153605Spatial sampling, data models, spatial scale and ontologies: Interpreting spatial statistics and machine learning applied to satellite optical remote sensing (2022)Spatial statistics, 50. Article 100646. Atkinson, P. M., Stein, A. & Jeganathan, C.https://doi.org/10.1016/j.spasta.2022.100646The development of the journal Spatial Statistics: The first 10 years (2022)Spatial statistics, 50. Article 100576. Stein, A.https://doi.org/10.1016/j.spasta.2021.100576The spatial–temporal variation of poverty determinants (2022)Spatial statistics, 50. Article 100631. 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M., Stein, A. & Li, L.https://doi.org/10.1016/j.srs.2022.100047Quantifying urban mass gain and loss by a GIS-based material stocks and flows analysis (2022)Journal of industrial ecology, 26(3), 1051-1060. Liu, Y., Li, J., Chen, W. Q., Song, L. & Dai, S.https://doi.org/10.1111/jiec.13252Do health risk perceptions motivate water - and health-related behaviour?: A systematic literature review (2022)Science of the total environment, 819, 1-25. Article 152902. Anthonj, C., Setty, K., Ferrero, G., A. Yaya, A.-M., Mingoti Poague, K. I. H., Marsh, A. J. & Augustijn, P. W. M.https://doi.org/10.1016/j.scitotenv.2021.152902Extracting planar roof structures from very high resolution images using graph neural networks (2022)ISPRS journal of photogrammetry and remote sensing, 187, 34-45. Zhao, W., Persello, C. & Stein, A.https://doi.org/10.1016/j.isprsjprs.2022.02.022Field-level crop yield estimation with PRISMA and Sentinel-2 (2022)ISPRS journal of photogrammetry and remote sensing, 187, 191-210. Marshall, M., Belgiu, M., Boschetti, M., Pepe, M., Stein, A. & Nelson, A.https://doi.org/10.1016/j.isprsjprs.2022.03.008Polarization optimization for the detection of multiple persistent scatterers using SAR tomography (2022)Remote sensing, 14(9). Article 1960. Aghababaei, H., Ferraioli, G., Stein, A. & Déniz, L. G.https://doi.org/10.3390/rs14091960Weakly supervised semantic segmentation of airborne laser scanning point clouds (2022)ISPRS journal of photogrammetry and remote sensing, 187, 79-100. Lin, Y., Vosselman, G. & Yang, M. Y.https://doi.org/10.1016/j.isprsjprs.2022.03.001Webbasierte räumliche Analyse und Kommunikation von Infektionsgeschehen (2022)Geographische Rundschau, 74(5), 18-22. Anthonj, C. & Höser, C.BTS: a binary tree sampling strategy for object identification based on deep learning (2022)International journal of geographical information science, 36(4), 822-848. 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I., Bowlick, F. J., Gidudu, A., Gould, M., Griffin, A., Kar, B., Kemp, K., de Róiste, M., deSabatta, S., Sinton, D., Strobl, J., Toppen, F. & Unwin, D.https://doi.org/10.1080/03098265.2021.1986687Unveiling spatial and temporal patterns of second home dynamics: a Bayesian spatiotemporal analysis for a Mediterranean island (2022)Spatial Economic Analysis, 17(1), 10-33. Yuheng, L., Detotto, C., Prunetti, D. & Stein, A.https://doi.org/10.1080/17421772.2021.1937687Varying weighted spatial quality assessment for high resolution satellite image pan-sharpening (2022)International journal of image and data fusion, 13(1), 44-70. Mehravar, S., Dadrass Javan, F., Samadzadegan, F., Toosi, A., Moghimi, A., Khatami, R. & Stein, A.https://doi.org/10.1080/19479832.2021.1921059Despeckling polarimetric SAR data using a multistream complex-valued fully convolutional network (2022)IEEE geoscience and remote sensing letters, 19, 1-5. Mullissa, A. G., Persello, C. & Reiche, J.https://doi.org/10.1109/LGRS.2021.3066311Evaluation of nonparametric SAR tomography methods for urban building reconstruction (2022)IEEE geoscience and remote sensing letters, 19. Omati, M., Sahebi, M. R. & Aghababaei, H.https://doi.org/10.1109/LGRS.2021.3077517Keypoints-based deep feature fusion for cooperative vehicle detection of autonomous driving (2022)IEEE Robotics and automation letters, 7(2), 3054-3061. Yuan, Y., Cheng, H. & Sester, M.https://doi.org/10.1109/LRA.2022.3143299LISU: Low-light indoor scene understanding with joint learning of reflectance restoration (2022)ISPRS journal of photogrammetry and remote sensing, 183, 470-481. Zhang, N., Nex, F. C., Kerle, N. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2021.11.010Mapping Spatial Variation and Impact of the National MDA Program on Lymphatic Filariasis Elimination in Ghana: An Initial Study (2022)Frontiers in Tropical Diseases, 3, 1-12. Article 811909. Kwarteng, E. V. S., Osei, F. B., Andam-Akorful, S. A., Kwarteng, A., Asare, D.-C. B. M., Quaye-Ballard, J. A. & Duker, A. A.https://doi.org/10.3389/fitd.2022.811909Mapping twenty years of antimicrobial resistance research trends (2022)Artificial intelligence in medicine, 123. Article 102216. Luz, C., van Niekerk, M., Keizer, J., Beerlage - de Jong, N., Jansen, L., Stein, A., Sinha, B., van Gemert-Pijnen, J. E. W. C. & Glasner, C.https://doi.org/10.1016/j.artmed.2021.102216Updating and using the EO4GEO Body of Knowledge for (AI) concept annotation (2022)AGILE: GIScience Series, 3, 1-6. Lemmens, R., Albrecht, F., Lang, S., Casteleyn, S., Stelmaszczuk-Górska, M., Olijslagers, M., Belgiu, M., Granell, C., Augustijn, P. W. M., Pathe, C., Missoni-Steinbacher, E.-m. & Monfort muriach, A.https://doi.org/10.5194/agile-giss-3-44-2022Use of LSTM for sinkhole-related anomaly detection and classification of InSAR deformation time series (2022)IEEE Journal of selected topics in applied earth observations and remote sensing, 15, 4559-4570. Kulshrestha, A., Chang, L. & Stein, A.https://doi.org/10.1109/JSTARS.2022.3180994
Book editing
Advances in Mobile Mapping Technologies (2022)[Book/Report › Book editing]. MDPI. Lehtola, V. V., Nüchter, A. & Goulette, F.https://www.mdpi.com/books/pdfview/book/5205
Chapter
Water Security and Global Health in Subsaharan Africa, Latin America, Pacific Islands and Europe (2022)In Geographien der Gesundheit: Beiträge zum 50-jährigen Bestehen des Arbeitskreises Medizinische Geographie und Geographische Gesundheitsforschung in der DGfG (pp. 25-38) (Geographische Gesundheitsforschung - Geographical Health Research; Vol. 6). Shaker Publishing. Anthonj, C.https://www.shaker.de/de/content/catalogue/index.asp?lang=de&ID=8&ISBN=978-3-8440-8755-0&search=yesPreface: the 2022 edition of the XXIVth ISPRS congress (2022)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Congress “Imaging today, foreseeing tomorrow”, Commission V and Youth Forum (pp. 1-5) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Landrieu, L., Rupnik, E., Oude Elberink, S., Mallet, C. & Paparoditis, N.https://doi.org/10.5194/isprs-annals-V-5-2022-1-2022Effect of label noise in semantic segmentation of high resolution aerial images and height data (2022)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Congress “Imaging today, foreseeing tomorrow”, Commission II (pp. 275-282) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Maiti, A., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.5194/isprs-annals-V-2-2022-275-2022Micro and macro quadcopter drones for indoor mapping to support disaster management (2022)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 203-210) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Karam, S., Nex, F. C., Karlsson, O., Rydell, J., Bilock, E., Tulldahl, M., Kerle, N. & Holmberg, M.https://doi.org/10.5194/isprs-annals-v-1-2022-203-2022Stacking-based uncertainty modelling of statistical and machine learning methods for residential property valuation (2022)In XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”: Commission IV (pp. 49-55) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Jafari, A., Delavar, M. R. & Stein, A.https://doi.org/10.5194/isprs-Annals-V-4-2022-49-2022Mapping the morphology of urban deprivation (2022)In Urban Remote Sensing: Monitoring, Synthesis, and Modeling in the Urban Environment (pp. 305-323). Wiley. Kuffer, M., Grippa, T., Persello, C., Taubenböck, H., Pfeffer, K. & Sliuzas, R.https://doi.org/10.1002/9781119625865.ch14
Comment/Letter to the editor
AI ethics and data governance in the geospatial domain of Digital Earth (2022)Big Data & Society, 9(2). Micheli, M., Gevaert, C. M., Carman, M., Craglia, M., Daemen, E., Ibrahim, R. E., Kotsev, A., Mohamed-Ghouse, Z., Schade, S., Schneider, I., Shanley, L. A., Tartaro, A. & Vespe, M.https://doi.org/10.1177/20539517221138767
Conference contribution
Why it makes sense to use high cost sensors to do low cost sensor (2022)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Workshop LowCost 3D - Sensors, Algorithms, Applications (pp. 137-143) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Lehtola, V. V., Hyyti, H. & Malkamäki, T.https://doi.org/10.5194/isprs-archives-XLVIII-2-W1-2022-137-2022TomoSAR derived features for estimation of Forest Structure and Fuel load (2022)In EUSAR 2022 - 14th European Conference on Synthetic Aperture Radar (pp. 121-125) (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR; Vol. 2022-July). IEEE. Ranjit, B., Aghababaei, H., Bijker, W. & Stein, A.https://ieeexplore.ieee.org/document/9944227Flow-based GAN for 3D Point Cloud Generation from a Single Image (2022)In 33rd British Machine Vision Conference 2022: London, UK, November 21-24, 2022. BMVA Press. Wei, Y., Vosselman, G. & Yang, M.https://bmvc2022.mpi-inf.mpg.de/569/Integrated deprivation area mapping system for displacement durable solutions and socio-economic reconstruction, Sudan (IdeaMapSudan). (2022)In Proceedings of the 10th International Conference on Appropriate Technology: Enhancing Peace and Governance through Appropriate Technology: Reimagining Sustainable Community Wellbeing in an Era of Global Climate Change (pp. 461-474). International Network on Appropriate Technology. Eltinay, N., Kuffer, M., Gevaert, C. M., Ali, I. M. M., Flasse, C., Badi, M., Gummah, A., Kumi, J., Kushieb, I., Sakhi, W., Elzaki, T., Abdallah, M., Ali, M., Hamza, M. & Ahmed, F.https://www.appropriatetech.net/index.php/10th-icat-2022Digital Twin creation for slums in Brazil based on UAV data (2022)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 17th 3D GeoInfo Conference (pp. 75-81). Copernicus. Khawte, S. S., Koeva, M. N., Gevaert, C. M., Oude Elberink, S. J. & Pedro, A. A.https://doi.org/10.5194/isprs-archives-XLVIII-4-W4-2022-75-2022Assessment of Persistent Scatterers Behaviour in Co-Polarimetric PAZ Data with Model-Backfeed Method (2022)In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (pp. 735-738). IEEE. Zhang, B., Chang, L. & Stein, A.https://doi.org/10.1109/IGARSS46834.2022.9884658Text to Image Generation with Semantic-Spatial Aware GAN (2022)In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 18166-18175) (IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR); Vol. 2022). IEEE. Liao, W., Hu, K., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1109/CVPR52688.2022.01765Evaluating the effect of POA compensation on polinsar coherence for L-and-S band airborne SAR data (2022)In 2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS) (pp. 356-359). IEEE. Shafai, S., Kumar, S., Aghababaei, H. & Kulshrestha, A.https://doi.org/10.1109/ingarss51564.2021.9792001Unsupervised harmonious image composition for disaster victim detection (2022)In Xxiv Isprs Congress: Imaging Today, Foreseeing Tomorrow, Commission Iii: Congress “Imaging today, foreseeing tomorrow”, Commission III (pp. 1189–1196) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information ). Copernicus. Zhang, N., Nex, F. C., Vosselman, G. & Kerle, N.https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1189-2022Exploring the potentials of UAV photogrammetric point clouds in facade detection and 3D reconstruction of buildings (2022)In XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”: Commission II (pp. 433-440) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Mwangangi, K. K., Mc'okeyo, P. O., Oude Elberink, S. J. & Nex, F.https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-433-2022Epipolar geometry between photogrammetry and computer vision: a computational guide (2022)In XXIV ISPRS Congress 2022 (pp. 25-32) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. 5). International Society for Photogrammetry and Remote Sensing (ISPRS). Alsadik, B. & Abdulateef, N. A.https://doi.org/10.5194/isprs-annals-V-5-2022-25-2022Disentangled lifespan face synthesis (2022)In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 3857-3866). IEEE. He, S., Liao, W., Yang, M. Y., Song, Y.-z., Rosenhahn, B. & Xiang, T.https://doi.org/10.1109/ICCV48922.2021.00385Spatial-temporal transformer for dynamic scene graph generation (2022)In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 16352-16362). IEEE. Cong, Y., Liao, W., Ackermann, H., Rosenhahn, B. & Yang, M. Y.https://doi.org/10.1109/ICCV48922.2021.01606
Dataset
Updated version of the dataset 'Building outline extraction of Enschede, the Netherlands using aerial images and digital surface models'(Updated): Enschede building dataset (2022)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Persello, C., Sun, X. & Zhao, W.https://doi.org/10.17026/dans-xw8-mhmwInSAR deformation time series dataset derived from Sentinel-1 SAR data over Monaghan sinkhole in Ireland : Sinkhole Scanner: A New Method to Detect Sinkhole-Related Spatio-Temporal Patterns in InSAR Deformation Time Series (2022)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Kulshrestha, A.https://doi.org/10.17026/dans-zk9-x9jq
Editorial
Remote sensing for land administration 2.0 (2022)Remote sensing, 14(17). Article 4359. Koeva, M. N., Bennett, R. M. & Persello, C.https://doi.org/10.3390/rs14174359Editorial: The impact of spatial statistics (2022)Spatial statistics, 50. Article 100641. Stein, A. & Gelfand, A.https://doi.org/10.1016/j.spasta.2022.100641Editorial: Spatio-temporal dynamics of Covid (2022)Spatial statistics, 49. Article 100588. D'Urso, P., Sahu, S. & Stein, A.https://doi.org/10.1016/j.spasta.2021.100588
Inaugural speech
Healthy spaces: fit 4 the future (2022)[Book/Report › Inaugural speech]. University of Twente. Blanford, J. I.
Other
Finding biases in geospatial datasets in the Global South – are we missing vulnerable populations? (2022)[Contribution to conference › Other] 41st EARSeL Symposium 2022. Gevaert, C. M.
Paper
Assessing the spatio-temporal distribution of extreme heat events in Mozambique using the CHIRTS temperature dataset for 1983-2016. (2022)[Contribution to conference › Paper] 30th Annual Geographical Information Science Research UK, GISRUK 2022. Pereira Marghidan, C., Blanford, J. I., van Aalst, M. K., Guigma, K., Maure, G., Pinto, I., Arrighi, J. & Marrufo, T.https://doi.org/10.5281/zenodo.6408101
PhD Thesis - Research UT, graduation UT
Extracting geometric features of buildings from remote sensing images (2022)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Zhao, W.https://doi.org/10.3990/1.9789036554978Photogrammetric point clouds: quality assessment, filtering, and change detection (2022)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Zhang, Z.https://doi.org/10.3990/1.9789036552653Deep learning for semantic segmentation of airborne laser scanning point clouds (2022)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Lin, Y.https://doi.org/10.3990/1.9789036554107
Preprint
Hillslope recovery after a major earthquake: InSAR-derived time series analyses to capture earthquake-legacy effect (2022)[Working paper › Preprint]. He, K., Lombardo, L., Chang, L., Sadhasivam, N., Hu, X., Fang, Z., Dahal, A., Fadel, I., Luo, G. & Tanyas, H.https://doi.org/10.31223/X5Q65WFlow-based GAN for 3D point cloud generation from a single image (2022)[Working paper › Preprint]. ArXiv.org. Wei, Y., Vosselman, G. & Yang, M. Y.https://doi.org/10.48550/arXiv.2210.04072
Review article
Reviewing the past, present, and future risks of pathogens in Ghana and what this means for rethinking infectious disease surveillance for Sub-Saharan Africa (2022)Journal of Tropical Medicine, 2022, 1-18. Article 4589007. Mahama, P. N.-J., Kabo-Bah, A. T., Blanford, J. I., Yamba, E. I. & Antwi-Agyei, P.https://doi.org/10.1155/2022/4589007UAV in the advent of the twenties: Where we stand and what is next (2022)ISPRS journal of photogrammetry and remote sensing, 184, 215-242. Nex, F., Armenakis, C., Cramer, M., Cucci, D. A., Gerke, M., Honkavaara, E., Kukko, A., Persello, C. & Skaloud, J.https://doi.org/10.1016/j.isprsjprs.2021.12.006
2021
Abstract
What and whom are we missing? Dissecting a flood vulnerability geo-intelligence workflow for hidden biases. (2021)[Contribution to conference › Abstract] 6th World Conference on Humanitarian Studies (Unpublished). Masinde, B. K., Gevaert, C. M., van den Homberg, M., Nagenborg, M. H., Gortzak, I. & Zevenbergen, J. A.
Article
Towards tropospheric delay estimation using GNSS smartphone receiver network (2021)Advances in space research, 68(12), 4794-4805. De Oliveira Marques, T., Mäkelä, M., Montloin, L., Lehtola, T., Thombre, S. & Lehtola, V. V.https://doi.org/10.1016/j.asr.2020.09.041Scale-aware neural network for semantic segmentation of multi-resolution remote sensing images (2021)Remote sensing, 13(24), 1-19. Article 5015. Wang, L., Zhang, C., Li, R., Duan, C., Meng, X. & Atkinson, P. M.https://doi.org/10.3390/rs13245015Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas (2021)Engineering geology, 294. Article 106363. Nappo, N., Mavrouli, O., Nex, F., van Westen, C., Gambillara, R. & Michetti, A. M.https://doi.org/10.1016/j.enggeo.2021.106363A note on the propagation of positional uncertainty in environmental models (2021)Transactions in GIS, 25(6), 3119-3131. van Zoest, V., van Buul, J., Osei, F. & Stein, A.https://doi.org/10.1111/tgis.12809Temperature-Vegetation-soil Moisture-Precipitation Drought Index (TVMPDI): 21-year drought monitoring in Iran using satellite imagery within Google Earth Engine (2021)Advances in space research, 68(11), 4573-4593. Mehravar, S., Amani, M., Moghimi, A., Dadrass Javan, F., Samadzadegan, F., Ghorbani, A., Stein, A., Mohammadzadeh, A. & Mirmazloumi, S. M.https://doi.org/10.1016/j.asr.2021.08.041Improving plot-level model of forest biomass: A combined approach using machine learning with spatial statistics (2021)Forests, 12(12), 1-15. Article 1663. Dai, S., Zheng, X., Gao, L., Xu, C., Zuo, S., Chen, Q., Wei, X. & Ren, Y.https://doi.org/10.3390/f12121663Building polygon extraction from aerial images and digital surface models with a frame field learning framework (2021)Remote sensing, 13(22), 1-21. Article 4700. Sun, X., Zhao, W., V. Maretto, R. & Persello, C.https://doi.org/10.3390/rs13224700Earth observations and statistics: Unlocking sociodemographic knowledge through the power of satellite images (2021)Sustainability (Switzerland), 13(22), 1-21. Article 12640. Merodio Gómez, P., Juarez Carrillo, O. J., Kuffer, M., Thomson, D. R., Olarte Quiroz, J. L., Villaseñor García, E., Vanhuysse, S., Abascal, A., Oluoch, I., Nagenborg, M., Persello, C. & Brito, P. L.https://doi.org/10.3390/su132212640Non local model free denoising algorithm for single and multi-channel SAR data (2021)IEEE transactions on geoscience and remote sensing, 60. Article 5217315. Aghababaei, H., Ferraioli, G., Vitale, S., Zamani, R., Schirinzi, G. & Pascazio, V.https://doi.org/10.1109/TGRS.2021.3127109ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery (2021)ISPRS journal of photogrammetry and remote sensing, 181, 84-98. Li, R., Zheng, S., Zhang, C., Duan, C., Wang, L. & Atkinson, P. M.https://doi.org/10.1016/j.isprsjprs.2021.09.005Simple loop closing for continuous 6DOF LIDAR&IMU graph SLAM with planar features for indoor environments (2021)ISPRS journal of photogrammetry and remote sensing, 181, 413-426. Karam, S., Lehtola, V. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2021.09.020Multiscale context aggregation network for building change detection using high resolution remote sensing images (2021)IEEE geoscience and remote sensing letters, 19, 1-5. Dong, J., Zhao, W. & Wang, S.https://doi.org/10.1109/LGRS.2021.3121094Evaluating post-fire recovery of Latroon dry forest using Landsat ETM+, unmanned aerial vehicle and field survey data (2021)Journal of arid environments, 193, 1-10. Article 104587. Qarallah, B., Al-Ajlouni, M., Al-Awasi, A., Alkarmy, M., Al-Qudah, E., Naser, A. B., Al-Assaf, A., Gevaert, C. M., Al Asmar, Y., Belgiu, M. & Othman, Y. A.https://doi.org/10.1016/j.jaridenv.2021.104587Vegetable mapping using fuzzy classification of Dynamic Time Warping distances from time series of Sentinel-1A images (2021)International Journal of Applied Earth Observation and Geoinformation (JAG), 102, 1-16. Article 102405. Moola, W. S., Bijker, W., Belgiu, M. & Li, M.https://doi.org/10.1016/j.jag.2021.102405The new working groups of the GRSS technical committee on image analysis and data fusion [Technical Committees] (2021)IEEE geoscience and remote sensing magazine, 9, 165-166. IEEE. Schmitt, M., Persello, C., Vivone, G., Lunga, D., Liao, W., Yokoya, N., Ghamisi, P. & Hansch, R.https://doi.org/10.1109/MGRS.2021.3100654Precise 3D extraction of building roofs by fusion of UAV-based thermal and visible images (2021)International journal of remote sensing, 42(18), 7002-7030. Dahaghin, M., Samadzadegan, F. & Dadrass Javan, F.https://doi.org/10.1080/01431161.2021.1951875Mapping China’s regional economic activity by integrating points-of-interest and remote sensing data with random forest (2021)Environment and Planning B: Urban Analytics and City Science, 48(7), 1876-1894. Chen, Q., Ye, T., Zhao, N., Ding, M., Ouyang, Z., Jia, P., Yue, W. & Yang, X.https://doi.org/10.1177/2399808320951580Reaching those left behind: knowledge gaps, challenges, and approaches to achieving SDG 6 in high-income countries (2021)Journal of Water Sanitation and Hygiene for Development, 11(5), 849-858. Mattos, K. J., Mulhern, R., Naughton, C. C., Anthonj, C., Brown, J., Brocklehurst, C., Brooks, C., Declos, A., Escobedo Garcia, N. E., MacDonald Gibson, J., Linden, K., Lindsay, C. A., Newby, J., Sinclair, R. & Smith, A.https://doi.org/10.2166/washdev.2021.057Towards user-driven earth observation-based slum mapping (2021)Computers, environment and urban systems, 89, 101681. Article 101681. Owusu, M., Kuffer, M., Belgiu, M., Grippa, T., Lennert, M., Georganos, S. & Vanhuysse, S.https://doi.org/10.1016/j.compenvurbsys.2021.101681Contextualizing linkages between water security and global health in Africa, Asia and Europe: Geography matters in research, policy and practice (2021)Water Security, 13. Article 100093. Anthonj, C.https://doi.org/10.1016/j.wasec.2021.100093Pattern recognition and remote sensing techniques applied to land use and land cover mapping in the Brazilian Savannah (2021)Pattern recognition letters, 148, 54-60. Fonseca, L. M. G., Körting, T. S., Bendini, H. N., Girolamo Neto, C. D., Neves, A. K., Soares, A. R., Taquary, E. C. & Maretto, R. V.https://doi.org/10.1016/j.patrec.2021.04.028Predicting wildfire burns from big geodata using deep learning (2021)Safety science, 140. Article 105276. Bergado, J. R., Persello, C., Reinke, K. & Stein, A.https://doi.org/10.1016/j.ssci.2021.105276Real-time Semantic Segmentation with Context Aggregation Network (2021)ISPRS journal of photogrammetry and remote sensing, 178, 124-134. Yang, M. Y., Kumaar, S., Lyu, Y. & Nex, F.https://doi.org/10.1016/j.isprsjprs.2021.06.006Sinkhole scanner: A new method to detect sinkhole-related spatio-temporal patterns in insar deformation time series (2021)Remote sensing, 13(15), 1-20. Article 2906. Kulshrestha, A., Chang, L. & Stein, A.https://doi.org/10.3390/rs13152906Refined water security assessment for sustainable water management: A case study of 15 key cities in the Yangtze River Delta, China (2021)Journal of environmental management, 290. Article 112588. Dou, P., Zuo, S., Ren, Y., Rodriguez, M. J. & Dai, S.https://doi.org/10.1016/j.jenvman.2021.112588Combined detection of surface changes and deformation anomalies using amplitude-augmented recursive InSAR time series (2021)IEEE transactions on geoscience and remote sensing, 60. Hu, F., van Leijen, F. J., Chang, L., Wu, J. & Hanssen, R.https://doi.org/10.1109/TGRS.2021.3093108An improved distributed scatterers extraction algorithm for monitoring tattered ground surface subsidence with DSInSAR: A case study of loess landform in Tongren county (2021)International Journal of Applied Earth Observation and Geoinformation (JAG), 99, 1-11. Article 102322. Bao, J., Luo, x., Liu, G., Chang, L., Wang, X., Shi, Y. & Wu, S.https://doi.org/10.1016/j.jag.2021.102322The Rise in UAV Inspections for Civil Infrastructure (2021)GIM International. Alsadik, B. & Nex, F. 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Chapter
Bidirectional multi-scale attention networks for semantic segmentation of oblique UAV imagery (2021)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress Imaging today, foreseeing tomorrow, Commission II (pp. 75-82) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Lyu, Y., Vosselman, G., Xia, G. S. & Yang, M. Y.https://doi.org/10.5194/isprs-annals-V-2-2021-75-2021Point cloud based 3D models for agent based simulations in social distancing and evacuation (2021)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress "Imaging today, foreseeing tomorrow" (pp. 113-120) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Nikoohemat, S., Godoy, P., Valkhoff, N., Wouters-Van Leeuwen, M., Voûte, R. & Lehtola, V. V.https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021Indoor 3D: Overview on scanning and reconstruction methods (2021)In Handbook of Big Geospatial Data (pp. 55-97). Springer. Lehtola, V. V., Nikoohemat, S. & Nüchter, A.https://doi.org/10.1007/978-3-030-55462-0_3
Comment/Letter to the editor
Corrigendum to “Spatio-temporal linking of multiple SAR satellite data from medium and high resolution Radarsat-2 images” [ISPRS J. Photogramm. Remote Sens. 176 (2021) 222–236] (ISPRS Journal of Photogrammetry and Remote Sensing (2021) 176 (222–236), (S0924271621001003), (10.1016/j.isprsjprs.2021.04.005)) (2021)ISPRS journal of photogrammetry and remote sensing, 180, 335-335. Zhang, B., Chang, L. & Stein, A.https://doi.org/10.1016/j.isprsjprs.2021.09.001Corrigendum to “Exploring PAZ co-polarimetric SAR data for surface movement mapping and scattering characterization”. [Int. J. Appl. Earth Observ. Geoinform. 96 (2021) 102280] (2021)International Journal of Applied Earth Observation and Geoinformation (JAG), 97. Article 102300. Chang, L. & Stein, A.https://doi.org/10.1016/j.jag.2021.102300
Conference contribution
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Aghababaei, H., Ferraioli, G. & Zamani, R.https://doi.org/10.1109/IGARSS47720.2021.9553158Revealing long-term deformation time series of radar scatterers using multi-sensor SAR data (2021)In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 5187-5190) (IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2021). IEEE. Zhang, B., Chang, L. & Stein, A.https://doi.org/10.1109/IGARSS47720.2021.9555077Automatic 3D building model generation using deep learning methods based on cityjson and 2D floor plans (2021)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 49-54) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Kippers, R., Koeva, M. N., van Keulen, M. & Oude Elberink, S. 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J.https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-179-2021Building outline extraction from aerial imagery and digital surface model with a frame field learning framework (2021)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 487-493) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Sun, X., Zhao, W., Maretto, R. V. & Persello, C.https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-487-2021Towards Learning Low-Light Indoor Semantic Segmentation with Illumination-Invariant Features (2021)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 427-432). International Society for Photogrammetry and Remote Sensing (ISPRS). Zhang, N., Nex, F. C., Kerle, N. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-427-2021Target-tailored source-transformation for scene graph generation (2021)In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp. 1663-1671). IEEE. Liao, W., Lan, C., Yang, M. Y., Zeng, W. & Rosenhahn, B.https://doi.org/10.1109/CVPRW53098.2021.00182A model-free ratio based nonlocal framework for denoising of SAR and TomoSAR data (2021)In 13th European Conference on Synthetic Aperture Radar, EUSAR 2021 (pp. 71-75) (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR; Vol. 2021). IEEE. Aghababaei, H., Zamani, R., Ferraioli, G., Schirinzi, G. & Pascazio, V.https://ieeexplore.ieee.org/document/9472503Image captioning through image transformer (2021)In Computer Vision – ACCV 2020 : 15th Asian Conference on Computer Vision, 2020, Revised Selected Papers (pp. 153-169) (Lecture Notes in Computer Science; Vol. 12625). Springer. 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Dataset
andremano/online-core: Principles and Applications of GIS and RS (2021)[Dataset Types › Dataset]. Zenodo. Mano, A., Bakx, W., Garcia Alvarez, M. G. & Knippers, R.https://doi.org/10.5281/zenodo.5213895Agricultural Field Boundary Data Set in The Netherlands for Automatic Delineation using Sentinel-2 Images (2021)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Persello, C.https://doi.org/10.17026/dans-za6-m8t7
Editorial
Muti-modal learning in photogrammetry and remote sensing (2021)ISPRS journal of photogrammetry and remote sensing, 176, 54-54. Yang, M. Y., Landrieu, L., Tuia, D. & Toth, C.https://doi.org/10.1016/j.isprsjprs.2021.03.022Introduction to the special issue Towards Spatial Data Science (2021)Spatial statistics, 42. Article 100466. Mateu, J. & Stein, A.https://doi.org/10.1016/j.spasta.2020.100466Special issue “remote-sensing-based urban planning indicators” (2021)Remote sensing, 13(7), 1-6. Article 1264. Kuffer, M., Pfeffer, K. & Persello, C.https://doi.org/10.3390/rs13071264
Other contribution
Systematic review on water, sanitation and hygiene (WASH) in schools in low- and middle-income countries (LMICs) (2021)[Other contribution › Other contribution]. International prospective register of systematic reviews - PROSPERO. Mingoti Poague, K. I. H. & Anthonj, C.
Paper
Public health needs GIScience (like now!) (2021)[Contribution to conference › Paper] 24th AGILE Conference on Geographic Information Science, 2021. Blanford, J. I. & Jolly, A. M.https://agile-giss.copernicus.org/articles/2/18/2021/3D fully convolutional neural networks with intersection over union loss for crop mapping from multi-temporal satellite images (2021)[Contribution to conference › Paper] 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021. Mohammadi, S., Belgiu, M. & Stein, A.https://doi.org/10.1109/IGARSS47720.2021.9554573
PhD Thesis - Research UT, graduation UT
Predicting the occurrence and spread of harmful microorganisms with statistical models (2021)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). van Niekerk, J. M.https://doi.org/10.3990/1.9789036552943Developing a SLAM-based backpack mobile mapping system for indoor mapping (2021)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Karam, S.https://doi.org/10.3990/1.9789036552561Dynamic scene understanding using deep neural networks (2021)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Lyu, Y.https://doi.org/10.3990/1.9789036552233UAV-based high-resolution remote sensing and machine learning for risk management in hazard and disaster areas (2021)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Briechle, S.https://doi.org/10.3990/1.9789036552141
Preprint
Text to image generation with Semantic-Spatial Aware GAN (2021)[Working paper › Preprint]. ArXiv.org. Liao, W., Hu, K., Yang, M. Y. & Rosenhahn, B.https://arxiv.org/abs/2104.00567v2
Report
ITC's strategic plan for Open Science 2021-2025: towards an open future (2021)[Book/Report › Report]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Konkol, M., Chang, L., Da Silva Mano, A., Deon, F., Koelen, M., Korringa, D., Mettinkhof, R., Nelson, A. D., Ostermann, F. O., Rietbroek, R., van der Werff, H. M. A., Venus, V. & Zurita-Milla, R.https://doi.org/10.5281/zenodo.5113578
Review article
Fairness and accountability of AI in disaster risk management: Opportunities and challenges (2021)Patterns, 2(11), 1-9. Article 100363. Gevaert, C. M., Carman, M., Rosman, B., Georgiadou, Y. & Soden, R.https://doi.org/10.1016/j.patter.2021.100363The simultaneous localization and mapping (SLAM): An overview (2021)Surveying and Geospatial Engineering Journal, 1(2), 1-12. Alsadik, B. & Karam, S.https://doi.org/10.38094/sgej1027Multivariate copula quantile mapping for bias correction of reanalysis air temperature data (2021)Journal of spatial science, 66(2), 299-315. Alidoost, F., Stein, A., Su, B. & Sharifi, A.https://doi.org/10.1080/14498596.2019.1601138Environmental health conditions in the transitional stage of forcible displacement: A systematic scoping review (2021)Science of the total environment, 762. Article 143136. Cooper, B., Behnke, N. L., Cronk, R., Anthonj, C., Banner Shackelford, B., Tu, R. & Bartram, J.https://doi.org/10.1016/j.scitotenv.2020.143136
Web publication/site
Principles and applications of geographic information systems and earth observation open courseware (2021)[Non-textual form › Web publication/site]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Da Silva Mano, A., Augustijn, P. W. M., Bakx, J. P. G., Garcia Alvarez, M. G. & Knippers, R. A.https://principles-and-applications-of-rs-and-gis.readthedocs.io/en/latest/
Working paper
Mapping Twenty Years of Antimicrobial Resistance Research Trends (2021)[Working paper › Working paper]. bioRxiv. Luz, C. F., van Niekerk, J. M., Keizer, J., Jong, N. B.-d., Braakman-Jansen, L. M. A., Stein, A., Sinha, B., Gemert-Pijnen, J. E. W. C. v. & Glasner, C.https://doi.org/10.1101/2021.03.01.433375
2020
Abstract
On the synergy of Standard and Extra-Fine mode Radarsat-2 data for surface deformation mapping (2020)[Contribution to conference › Abstract] NCG Symposium 2020. Zhang, B., Chang, L. & Stein, A.https://varioscale.bk.tudelft.nl/events/icagen2020/NCG2020/NCG2020_paper_21.pdf
Article
Post-Disaster Building Damage Detection from Earth Observation Imagery using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks (2020)Remote sensing, 12(24), 1-27. Article 4193. Tilon, S., Nex, F., Kerle, N. & Vosselman, G.https://doi.org/10.3390/rs12244193Mapping land use from high resolution satellite images by exploiting the spatial arrangement of land cover objects (2020)Remote sensing, 12(24). Article 4158. Li, M. & Stein, A.https://doi.org/10.3390/rs12244158Automatic detection of individual trees from vhr satellite images using scale-space methods (2020)Sensors (Switzerland), 20(24), 1-19. Article 7194. Mahour, M., Tolpekin, V. & Stein, A.https://doi.org/10.3390/s20247194Association between time spent outdoors and myopia among junior high school students: A 3-wave panel study in China (2020)Medicine (Baltimore), 99(50), 1-8. Article e23462. Zhang, L., Wang, W., Dong, X., Zhao, L., Jia, P. & Wang, R.https://doi.org/10.1097/MD.0000000000023462Railway Infrastructure Classification and Instability Identification Using Sentinel-1 SAR and Laser Scanning Data (2020)Sensors (Switzerland), 20(24), 1-16. Article 7108. Chang, L., Sakpal, N., Oude Elberink, S. J. & Wang, H.https://doi.org/10.3390/s20247108The changing face of accountability in humanitarianism: using artificial intelligence for anticipatory action (2020)Politics and Governance, 8(4), 1-12. van den Homberg, M., Gevaert, C. M. & Georgiadou, Y.https://doi.org/10.17645/pag.v8i4.3158A comparative, correlate analysis and projection of global and regional life expectancy, healthy life expectancy, and their GAP: 1995-2025 (2020)Journal of Global Health, 10(2), 1-16. Cao, X., Hou, Y., Zhang, X., Xu, C., Jia, P., Sun, X., Sun, L., Gao, Y., Yang, H., Cui, Z., Wang, Y. & Wang, Y.https://doi.org/10.7189/jogh.10.020407Spatial sampling for a rabies vaccination schedule in rural villages (2020)Environmental and ecological statistics, 27(4), 827-845. Fabris-Rotelli, I., Reynolds, H., Stein, A. & Loots, T.https://doi.org/10.1007/s10651-020-00468-yThe spatial statistic trinity: A generic framework for spatial sampling and inference (2020)Environmental modelling & software, 134. Article 104835. Wang, J., Gao, B. & Stein, A.https://doi.org/10.1016/j.envsoft.2020.104835Investigating the Uncertainties Propagation Analysis of CO2 Emissions Gridded Maps at the Urban Scale: A Case Study of Jinjiang City, China (2020)Remote sensing, 12(23), 1-23. Article 3932. Dai, S., Ren, Y., Zuo, S., Lai, C., Li, J., Xie, S. & Chen, B.https://doi.org/10.3390/rs12233932Modeling schistosomiasis spatial risk dynamics over time in Rwanda using zero‑inflated Poisson regression (2020)Scientific reports, 10(1), 1-9. Article 19276. Nyandwi, E., Osei, F. B., Amer, S. & Veldkamp, A.https://doi.org/10.1038/s41598-020-76288-8High-quality uav-based orthophotos for cadastral mapping: Guidance for optimal flight configurations (2020)Remote sensing, 12(21), 1-23. Article 3625. Stöcker, C., Nex, F., Koeva, M. & Gerke, M.https://doi.org/10.3390/rs12213625Active and incremental learning for semantic ALS point cloud segmentation (2020)ISPRS journal of photogrammetry and remote sensing, 169, 73-92. Lin, Y., Vosselman, G., Cao, Y. & Yang, M. Y.https://doi.org/10.1016/j.isprsjprs.2020.09.003Trends in Spatial Epidemiology: Past, Present, and the Future (2020)Newsletter Arbeitskreis Medizinische Geographie und Geographische Gesundheitsforschung in der Deutschen Gesellschaft für Geographie, 2020, 4-5. Deutschen Gesellschaft für Geographie. Osei, F. B.https://med-geo.de/wp-content/uploads/2020/12/201201_NL-AK-4-2020.pdfRisk factors for surgical site infections using a data-driven approach (2020)PLoS ONE, 15(10), 1-14. Article e0240995. Niekerk, J. M. v., Vos, M. C., Stein, A., Braakman-Jansen, L. M. A., Voor in ‘t holt, A. F. & Gemert-Pijnen, J. E. W. C. v.https://doi.org/10.1371/journal.pone.0240995Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019 (2020)The Lancet, 396(10258), 1160-1203. Masoumi, S., Ebrahimi, H., Salem, M. R. R., Kochhar, S., Wang, H., Cao, J., Fox, J. T., Lin, C., Liu, H., Liu, Z., Ma, J., Nguyen, D. N., Walters, M. K., Wang, J., Watson, S., Wu, J., Zhao, J. T., Guo, Y., Li, S., … Zhang, Y.https://doi.org/10.1016/S0140-6736(20)30977-6Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 (2020)The Lancet, 396(10258), 1204-1222. Osei, F. B.https://doi.org/10.1016/S0140-6736(20)30925-9Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease study 2019 (2020)The Lancet, 396(10258), 1223-1249. Osei, F. B.https://doi.org/10.1016/S0140-6736(20)30752-2Investigating the retention of solar wind implanted Helium-3 on the moon from the analysis of multi-wavelength remote sensing data (2020)Remote sensing, 12(20), 1-24. Article 3350. Shukla, S., Tolpekin, V., Kumar, S. & Stein, A.https://doi.org/10.3390/rs12203350Deformation Velocity-Based Regularization of Multibaseline SAR Interferometry (2020)IEEE geoscience and remote sensing letters, 19. Article 4003405. Zamani, R. & Aghababaei, H.https://doi.org/10.1109/LGRS.2020.3028244A Bayesian characterization of urban land use configurations from VHR remote sensing images (2020)International Journal of Applied Earth Observation and Geoinformation (JAG), 92, 1-11. Article 102175. Li, M., Stein, A. & De Beurs, K. M.https://doi.org/10.1016/j.jag.2020.102175A deep learning-based surface defect inspection system using multi-scale and channel-compressed features (2020)IEEE transactions on instrumentation and measurement, 69(10), 8032-8042. Article 9063543. Yang, J., Fu, G., Zhu, W., Cao, Y., Cao, Y. & Yang, M. Y.https://doi.org/10.1109/TIM.2020.2986875On the assessment of non-local multi-looking in detection of persistent scatterers using SAR tomography (2020)Remote sensing, 12(19), 1-24. Article 3195. Aghababaei, H.https://doi.org/10.3390/rs12193195Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review (2020)IEEE transactions on intelligent transportation systems, 23(1), 64-83. Thombre, S., Zhao, Z., Ramm-schmidt, H., Garcia, J. M. V., Malkamaki, T., Nikolskiy, S., Hammarberg, T., Nuortie, H., Bhuiyan, M. Z. H., Sarkka, S. & Lehtola, V. V.https://doi.org/10.1109/TITS.2020.3023957Detection of radioactive waste sites in the Chornobyl exclusion zone using UAV-based lidar data and multispectral imagery (2020)ISPRS journal of photogrammetry and remote sensing, 167, 345-362. Briechle, S., Molitor, N., Krzystek, P. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2020.06.015Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17 (2020)The Lancet Global Health, 8(9), e1162-e1185. Osei, F. B.https://doi.org/10.1016/S2214-109X(20)30278-3The global distribution of lymphatic filariasis, 2000–18: a geospatial analysis (2020)The Lancet Global Health, 8(9), e1186-e1194. Osei, F. B.https://doi.org/10.1016/S2214-109X(20)30286-2Multibeam Lidar for mobile mapping systems (2020)GIM International, 1-3. Alsadik, B.https://www.gim-international.com/content/article/multibeam-lidar-for-mobile-mapping-systemsAssessing variations in climate extremes over Euphrates Basin, Turkey (2020)Theoretical and applied climatology, 141, 1461-1473. Bostan, P.https://doi.org/10.1007/s00704-020-03238-9Dynamics of shoreline changes in the coastal region of Sayung, Indonesia (2020)Egyptian Journal of Remote Sensing and Space Science, 23(2), 181-193. Dewi, R. S. & Bijker, W.https://doi.org/10.1016/j.ejrs.2019.09.001Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000–17 (2020)The Lancet Global Health, 8(8), e1038-e1060. Osei, F. B.https://doi.org/10.1016/S2214-109X(20)30230-8Monitoring household upgrading in unplanned settlements with unmanned aerial vehicles (2020)International Journal of Applied Earth Observation and Geoinformation (JAG), 90, 1-6. Article 102117. Gevaert, C. M., Persello, C., Sliuzas, R. V. & Vosselman, G.https://doi.org/10.1016/j.jag.2020.102117Innovative geospatial solutions for land tenure mapping (2020)Rwanda Journal of Engineering, Science, Technology and Environment, 3(1), 34-49. Koeva, M. N., Stöcker, C., Crommelinck, S., Chipofya, M. C., Kundert, K., Schwering, A., Sahib, J., Zein, T., Timm, C., Humayun , M., Crompvoets, J., Tan, E., Casiano, C. & Nkerabigwi, P.https://doi.org/10.4314/rjeste.v3i1.3SPredictive land value modelling in Guatemala City using a geostatistical approach and Space Syntax (2020)International journal of geographical information science, 34(7), 1451-1474. Morales, J. A., Stein, A., Flacke, J. & Zevenbergen, J. A.https://doi.org/10.1080/13658816.2020.1725014Can AI become a salty seadog? (2020)Navigation News, 2020(July/August), 16-18. Lehtola, V. V. & Montewka, J.UAVid: A semantic segmentation dataset for UAV imagery (2020)ISPRS journal of photogrammetry and remote sensing, 165, 108-119. Lyu, Y., Vosselman, G., Xia, G. S., Yilmaz, A. & Yang, M. Y.https://doi.org/10.1016/j.isprsjprs.2020.05.009Geographic clustering and region-specific determinants of obesity in the Netherlands (2020)Geospatial health, 15(1), 131-139. Qiu, G., Liu, X., Amiranti, A. Y., Yasini, M., Wu, T., Amer, S. & Jia, P.https://doi.org/10.4081/gh.2020.839Relationship between social capital and heroin use behaviors among patients in methadone maintenance treatment in Sichuan Province, China: A cross-sectional study (2020)Medicine (Baltimore), 99(24), 1-8. Article e19963. Yang, S., Gao, B., Gu, J., Gong, Y., Yu, B., Han, J., Dong, P., Jia, P. & Yang, S.https://doi.org/10.1097/MD.0000000000019963Flight planning for LiDAR-based UAS mapping applications (2020)ISPRS international journal of geo-information, 9(6), 1-19. Article 378. Alsadik, B. & Remondino, F.https://doi.org/10.3390/ijgi9060378Bayesian analysis of the short-term association of NO2 exposure with local burden of asthmatic symptoms in children (2020)Science of the total environment, 720, 1-10. Article 137544. van Zoest, V., Hoek, G., Osei, F. & Stein, A.https://doi.org/10.1016/j.scitotenv.2020.137544Forest SAR Tomography: Principles and Applications (2020)IEEE geoscience and remote sensing magazine, 8(2), 30-45. Aghababaei, H., Ferraioli, G., Ferro-Famil, L., Huang, Y., Mariotti d'Alessandro, M., Pascazzio, V., Schirinzi, G. & Tebaldini, S.https://doi.org/10.1109/MGRS.2019.2963093Two-stream convolutional neural network for non-destructive subsurface defect detection via similarity comparison of lock-in thermography signals (2020)NDT & E international, 112, 1-9. Article 102246. Cao, Y., Dong, Y., Cao, Y., Yang, J. & Yang, M. Y.https://doi.org/10.1016/j.ndteint.2020.102246Detection of seismic façade damages with multi-temporal oblique aerial imagery (2020)GIScience & remote sensing, 57(5), 670-686. Duarte, D., Nex, F., Kerle, N. & Vosselman, G.https://doi.org/10.1080/15481603.2020.1768768Supporting Self-Management of Cardiovascular Diseases Through Remote Monitoring Technologies: Metaethnography Review of Frameworks, Models, and Theories Used in Research and Development (2020)Journal of medical internet research, 22(5). Article e16157. Cruz-Martinez, R. R., Wentzel, J., Asbjornsen, R. A., Noort, P. D., van Niekerk, J. M., Sanderman, R. & van Gemert-Pijnen, J. E. W. C.https://doi.org/10.2196/16157Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017 (2020)The Lancet, 395(10239), 1779-1801. Osei, F. B.https://doi.org/10.1016/S0140-6736(20)30114-8Spatio-temporal regression kriging for modelling urban NO2 concentrations (2020)International journal of geographical information science, 34(5), 851-865. van Zoest, V., Osei, F. B., Hoek, G. & Stein, A.https://doi.org/10.1080/13658816.2019.1667501Uncertainty quantification for the extraction of informal roads from remote sensing images of South Africa (2020)South African geographical journal, 102(2), 249-272. Thiede, R. N., Fabris-rotelli, I. N., Stein, A., Debba, P. & Li, M.https://doi.org/10.1080/03736245.2019.1685404An object-based bidirectional method for integrated building extraction and change detection between multimodal point clouds (2020)Remote sensing, 12(10). Article 1680. Dai, C., Zhang, Z. & Lin, D.https://doi.org/10.3390/rs12101680Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster management (2020)Automation in construction, 113, 1-17. Article 103109. Nikoohemat, S., Diakité, A. 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M., … Sadeghi, E.https://doi.org/10.1038/s41591-020-0807-6Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing (2020)Geo-spatial information science, 23(2), 165-181. Ekaso, D., Nex, F. & Kerle, N.https://doi.org/10.1080/10095020.2019.1710437An Optimal Population Modeling Approach Using Geographically Weighted Regression Based on High-Resolution Remote Sensing Data: A Case Study in Dhaka City, Bangladesh (2020)Remote sensing, 12(7), 1-15. Article 1184. Roni, R. & Jia, P.https://doi.org/10.3390/rs12071184Obesogenic environmental factors of adult obesity in China: A nationally representative cross-sectional study (2020)Environmental research letters, 15(4), 1-13. Article 044009. 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Chapter
Post-fire hazard detection using ALOS-2 radar and landsat-8 optical imagery (2020)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 75-82). International Society for Photogrammetry and Remote Sensing (ISPRS). Mutai, S. & Chang, L.https://doi.org/10.5194/isprs-annals-VI-3-W1-2020-75-2020NODIS: Neural ordinary differential scene understanding (2020)In Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XX (pp. 636-653) (Lecture Notes in Computer Science; Vol. 12365). Springer. Cong, Y., Ackermann, H., Liao, W., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1007/978-3-030-58565-5_38Body of knowledge for the earth observation and geoinformation sector: A basis for innovative skills development (2020)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 15-22) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Stelmaszczuk-górska, M. A., Aguilar-moreno, E., Casteleyn, S., Vandenbroucke, D., Miguel-lago, M., Dubois, C., Lemmens, R., Vancauwenberghe, G., Olijslagers, M., Lang, S., Albrecht, F., Belgiu, M., Krieger, V., Jagdhuber, T., Fluhrer, A., Soja, M. J., Mouratidis, A., Persson, H. 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Briechle, S., Krzystek, P. & Vosselman, G.https://doi.org/10.5194/isprs-annals-V-2-2020-203-2020Deep learning for monocular depth estimation from UAV images (2020)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress (pp. 451-458) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. V-2). International Society for Photogrammetry and Remote Sensing (ISPRS). Madhuanand, L., Nex, F. & Yang, M. Y.https://doi.org/10.5194/isprs-annals-V-2-2020-451-2020Efficient training of semantic point cloud segmentation via active learning (2020)In XXIV ISPRS Congress, Commission II 2020 (pp. 243-250) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. V-2-2020). International Society for Photogrammetry and Remote Sensing (ISPRS). Lin, Y., Vosselman, G., Cao, Y. & Yang, M. Y.https://doi.org/10.5194/isprs-annals-V-2-2020-243-2020Infrastructure degradation and post-disaster damage detection using anomaly detecting Generative Adversarial Networks (2020)In XXIV ISPRS Congress, Commission II 2020 (pp. 573-582) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. V-2-2020). International Society for Photogrammetry and Remote Sensing (ISPRS). Tilon, S. M., Nex, F., Duarte, D., Kerle, N. & Vosselman, G.https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020LR-CNN: Local-aware region cnn for vehicle detection in aerial imagery (2020)In XXIV ISPRS Congress, Commission II 2020 (pp. 381-388) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. V-2-2020). International Society for Photogrammetry and Remote Sensing (ISPRS). Liao, W., Chen, X., Yang, J., Roth, S., Goesele, M., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.5194/isprs-annals-V-2-2020-381-2020Polarimetric calibration of l-band airborne sar data (2020)In XXIV ISPRS Congress, Commission I 2020 (pp. 369-374) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. V-1-2020). International Society for Photogrammetry and Remote Sensing (ISPRS). Maiti, A., Kumar, S., Tolpekin, V. & Agarwal, S.https://doi.org/10.5194/isprs-annals-V-1-2020-369-2020Robust resection model for aligning the mobile mapping systems trajectories at degraded and denied urban environments (2020)In XXIV ISPRS Congress, Commission I 2020 (pp. 215–222) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. V-1-2020). International Society for Photogrammetry and Remote Sensing (ISPRS). 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Comment/Letter to the editor
Author Correction: Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017 (Nature Medicine, (2020), 26, 5, (750-759), 10.1038/s41591-020-0807-6) (2020)Nature Medicine, 26(8), 1308. Kinyoki, D. K., Ross, J. M., Lazzar-Atwood, A., Munro, S. B., Schaeffer, L. E., Abbasalizad-Farhangi, M., Abbasi, M., Abbastabar, H., Abdelalim, A., Abdoli, A., Abdollahi, M., Abdollahpour, I., Abdulkader, R. S., Abebe, N. D., Abebo, T. A., Abegaz, K. H., Abolhassani, H., Abreu, L. G., Abrigo, M. R. M., … Sadeghi, E.https://doi.org/10.1038/s41591-020-0972-7Department of Error: Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017 (The Lancet (2020) 395(10239) (1779–1801), (S0140673620301148), (10.1016/S0140-6736(20)30114-8)) (2020)The Lancet, 395(10239), 1762. Reiner, R. C., Wiens, K. E., Deshpande, A., Baumann, M. M., Lindstedt, P. A., Blacker, B. F., Troeger, C. E., Earl, L., Munro, S. B., Abate, D., Abbastabar, H., Abd-Allah, F., Abdelalim, A., Abdollahpour, I., Abdulkader, R. S., Abebe, G., Abegaz, K. H., Abreu, L. G., Abrigo, M. R. M., … Sadeghi, E.https://doi.org/10.1016/S0140-6736(20)31248-4
Conference contribution
Ratio-based similarity criteria for polarimetric SAR image (2020)In 2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020): Volume XLII-3/W12-2020 (pp. 483-486) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Aghababaei, H., Ferraioli, G. & Pascazio, V.https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-483-2020FairNN: Conjoint learning of fair representations for fair decisions (2020)In Discovery Science: 23rd International Conference, DS 2020, Proceedings (pp. 581-595) (Lecture Notes in Computer Science; Vol. 12323). Springer. Hu, T., Iosifidis, V., Liao, W., Zhang, H., Yang, M. Y., Ntoutsi, E. & Rosenhahn, B.https://doi.org/10.1007/978-3-030-61527-7_38Towards Uncovering Socio-Economic Inequalities Using VHR Satellite Images and Deep Learning (2020)In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 3747-3750). Article 9324399 (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2020). IEEE. Persello, C. & Kuffer, M.https://doi.org/10.1109/IGARSS39084.2020.9324399MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic (2020)In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems: ITSC 2020 (pp. 1-8). Article 9294296. IEEE. Cheng, H., Liao, W., Yang, M. Y., Sester, M. & Rosenhahn, B.https://doi.org/10.1109/ITSC45102.2020.9294296Training in innovative technologies for Close-range Sensing in Alpine terrain: 3rd edition (2020)In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress (pp. 243-250) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Rutzinger, M., Anders, K., Bremer, M., Höfle, B., Lindenbergh, R. C., Oude Elberink, S., Pirotti, F., Scaioni, M. & Zieher, T.https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-243-2020Dynamic Time Warping for crops mapping (2020)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress (pp. 947-951) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Belgiu, M., Zhou, Y., Marshall, M. & Stein, A.https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-947-2020Evaluating the quality of photogrammetric point-clouds in challenging geo-environments: a case study in an Alpine valley (2020)In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress (pp. 1099-1105) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Karantanellis, E., Arav, R., Dille, A., Lippl, S., Marsy, G., Torresani, L. & Oude Elberink, S.https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-1099-2020Building outline delineation: From very high resolution remote sensing imagery to polygons with an improved end-to-end learning framework (2020)In XXIV ISPRS Congress, Commission II 2020 (pp. 731-735) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; Vol. 43-B2). International Society for Photogrammetry and Remote Sensing (ISPRS). Zhao, W., Ivanov, I., Persello, C. & Stein, A.https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-731-2020Land use classification using deep multitask networks (2020)In XXIV ISPRS Congress, Commission III 2020 (pp. 17-21) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; Vol. 43). International Society for Photogrammetry and Remote Sensing (ISPRS). Bergado, J. R., Persello, C. & Stein, A.https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-17-2020Photomatch: An open-source multi-view and multi-modal feature matching tool for photogrammetric applications (2020)In XXIV ISPRS Congress, Commission V and Youth Forum (pp. 213-219) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; Vol. 43). International Society for Photogrammetry and Remote Sensing (ISPRS). González-Aguilera, D., Ruiz De Oña, E., López-Fernandez, L., Farella, E. M., Stathopoulou, E. K., Toschi, I., Remondino, F., Rodríguez-Gonzálvez, P., Hernández-López, D., Fusiello, A. & Nex, F.https://doi.org/10.5194/isprs-archives-XLIII-B5-2020-213-2020UAV images and deep-learning algorithms for detecting flavescence doree disease in grapevine orchards (2020)In XXIV ISPRS Congress, Commission III 2020 (pp. 1483-1489) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; Vol. 43). International Society for Photogrammetry and Remote Sensing (ISPRS). Musci, M. A., Persello, C. & Lingua, A. M.https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1483-2020CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus (2020)In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 4633-4642). IEEE. Kluger, F., Brachmann, E., Ackermann, H., Rother, C., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1109/CVPR42600.2020.00469Temporally consistent horizon lines (2020)In 2020 IEEE International Conference on Robotics and Automation, ICRA 2020 (pp. 3161-3167) (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 2020). IEEE. Kluger, F., Ackermann, H., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1109/ICRA40945.2020.9197170Polarimetric SAR calibration and processing tool V1.0: A tool for polarimetric calibration and processing of SAR data (2020)In 7th International Conference on Signal Processing and Integrated Networks, SPIN 2020 (pp. 459-464). Article 9071299 (Proceedings International Conference on Signal Processing and Integrated Networks (SPIN); Vol. 2020). IEEE. Kumar, S., Kumari, V., Alice, A., Bhanu Prakash, M. E., Babu, A., Maiti, A. & Agrawal, S.https://doi.org/10.1109/SPIN48934.2020.9071299Ratio-based similarity criteria for polarimetric SAR image (2020)In 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020: Proceedings (pp. 318-321). Article 9165581. IEEE. Aghababaei, H., Ferraioli, G. & Pascazio, V.https://doi.org/10.1109/LAGIRS48042.2020.9165581
Dataset
Mobile laser scanning point cloud Rotterdam. (2020)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Oude Elberink, S., Jongeleen, S. & Hussnain, Z.https://doi.org/10.17026/dans-z4u-4kjeDetecting Building Changes between Airborne Laser Scanning and Photogrammetric Data (2020)[Dataset Types › Dataset]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Zhang, Z.https://doi.org/10.17026/dans-xzg-nqdgUAVid Dataset (2020)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Yang, M., Yang, M., Lyu, Y., Vosselman, G. & Xia, G. S.https://doi.org/10.17026/dans-x9f-w9saChange detection image dataset for unplanned settlement in Rwanda (2020)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Gevaert, C.https://doi.org/10.17026/dans-26k-5t9bDebris, rubble piles and façade damage detection using multi-resolution optical remote sensing imagery (2020)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Duarte, D.https://doi.org/10.17026/dans-zde-n4a9Sentinel-2 data set for the delineation of agricultural field boundaries in Flevoland, The Netherlands (2020)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Persello, C.https://doi.org/10.17026/dans-x8d-p6zmITCVD Dataset (2020)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Yang, M.https://doi.org/10.17026/dans-xnc-h2fu
Letter
Worsening of tree-related public health issues under climate change (2020)Nature Plants, 6(48), 48-48. Jia, P., Wang, T., Van Vliet, A. J. H., Skidmore, A. K. & van Aalst, M. K.https://doi.org/10.1038/s41477-020-0598-2
Other
Primary school teaching material supports water, sanitation, hygiene and health education and promotes healthy behaviour (2020)[Contribution to conference › Other] Jahrestagung des Arbeitskreis Medizinische Geographie und Geographische Gesundheitsforschung 2020 . Anthonj, C., Sophie, G., Grossi, V., Höser, C. & Stein, A.Wasser-, Sanitärversorgung und Hygiene unter den Roma Gemeinschaften in Europa: Situationsanalyse, kultureller Kontext und Verbesserungshindernisse (2020)[Contribution to conference › Other] Jahrestagung des Arbeitskreis Medizinische Geographie und Geographische Gesundheitsforschung 2020 . Anthonj, C., Setty, K., Ezbakhe, F., Manga, M. & Höser, C.Mapping the Missing spaces and the role of Generic Slum Ontology (2020)[Contribution to conference › Other] 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2020. Kohli, D., Gevaert, C. M. & Kuffer, M.https://library.itc.utwente.nl/login/2020/pres/kohli_map_ppt.pdf
Paper
Mapping the missing spaces and the role of generic slum ontology (2020)[Contribution to conference › Paper] 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2020. Kohli, D., Gevaert, C. M. & Kuffer, M.https://library.itc.utwente.nl/login/2020/conf/kohli_map.pdfLooking from the lens of gender mainstreaming: the inclusiveness of women in surveying and Geoinformation Technology (GIT) in Nepal (2020)[Contribution to conference › Paper] FIG Working Week 2020. Shrestha, R., Ranjit, B., Shrestha, R. & Groenendijk, L.https://www.oicrf.org/-/looking-from-the-lens-of-gender-mainstreaming-the-inclusiveness-of-women-in-surveying-and-geoinformation-technology-git-in-nepalBuilding instance segmentation and boundary regularization from high-resolution remote sensing images (2020)[Contribution to conference › Paper] 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020. Zhao, W., Persello, C. & Stein, A.https://doi.org/10.1109/IGARSS39084.2020.9324239
PhD Thesis - Research UT, graduation UT
End-to-end predictive models for remote sensing applications (2020)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Bergado, J. R.https://doi.org/10.3990/1.9789036550963Indoor 3D reconstruction of buildings from point clouds (2020)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Nikoohemat, S.https://doi.org/10.3990/1.9789036549820Position estimation of mobile laser scanner using aerial imagery (2020)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Hussnain, S. Z.https://doi.org/10.3990/1.9789036549356Debris, rubble piles and façade damage detection using multi-resolution optical remote sensing imagery (2020)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Duarte, D.https://doi.org/10.3990/1.9789036549400Spatio-temporal modelling of urban sensor network data: Mapping air quality risks in Eindhoven, the Netherlands (2020)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). van Zoest, V. M.https://doi.org/10.3990/1.9789036549295
Preprint
CABiNet: Efficient context aggregation network for low-latency semantic segmentation (2020)[Working paper › Preprint]. ArXiv.org. Kumaar, S., Lyu, Y., Nex, F. & Yang, M. Y.https://arxiv.org/abs/2011.00993NODIS: Neural Ordinary Differential Scene Understanding (2020)[Working paper › Preprint]. ArXiv.org. Cong, Y., Ackermann, H., Liao, W., Yang, M. Y. & Rosenhahn, B.https://arxiv.org/abs/2001.04735v2Image Captioning through Image Transformer (2020)[Working paper › Preprint]. ArXiv.org. He, S., Liao, W., Tavakoli, H. R., Yang, M. Y., Rosenhahn, B. & Pugeault, N.https://doi.org/10.48550/arXiv.2004.14231
Review article
Five insights from the Global Burden of Disease Study 2019 (2020)The Lancet, 396(10258), 1135-1159. Masoumi, S., Ebrahimi, H., Salem, M. R. R., Kochhar, S., Wang, H., Cao, J., Fox, J. T., Lin, C., Liu, H., Liu, Z., Ma, J., Nguyen, M., Walters, M. K., Wang, J., Watson, S., Wu, J., Zhao, J. T., Guo, Y., Lee, S. W. H., … Zhang, Y.https://doi.org/10.1016/S0140-6736(20)31404-5Catecholamines in Alzheimer's Disease: A Systematic Review and Meta-Analysis (2020)Frontiers in Aging Neuroscience, 12, 1-12. Article 184. Pan, X., Kaminga, A. C., Jia, P., Wen, S. W., Acheampong, K. & Liu, A.https://doi.org/10.3389/fnagi.2020.00184
Web publication/site
Roofs, rain and life: How to incentivize and implement rainwater harvesting (2020)[Non-textual form › Web publication/site]. World Bank. Borja-Vega, C. & Anthonj, C.https://blogs.worldbank.org/water/roofs-rain-and-life-how-incentivize-and-implement-rainwater-harvestingRoofs, rain and life: Rainwater harvesting for safe water supply and sustainable co-benefits (2020)[Non-textual form › Web publication/site]. World Bank. Borja-Vega, C. & Anthonj, C.https://blogs.worldbank.org/water/roofs-rain-and-life-rainwater-harvesting-safe-water-supply-and-sustainable-co-benefits
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Temporally Consistent Horizon Lines (2020)[Working paper › Working paper]. ArXiv.org. Kluger, F., Ackermann, H., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.48550/arXiv.1907.10014
2019
Abstract
An open machine learning challenge to map urban development and resilience in diverse African cities from aerial imagery (2019)[Contribution to conference › Abstract] AGU Fall Meeting 2019. Miller, E., Luo, D., Deparday, V., Giovando, C., Gevaert, C. M., Emanuele, R., Kassel, S., Needham, E., Lipstein, G., Bull, P. & Slavitt, I.https://ui.adsabs.harvard.edu/abs/2019AGUFMIN52B..07M/abstractSpaceborne polarimetric sar interferometry for snow depth retrieval in the northwestern Himalayan watershed (2019)[Contribution to conference › Abstract] GSA Annual Meeting 2019. Majumdar, S., Thakur, P. K., Chang, L. & Kumar, S.https://gsa.confex.com/gsa/2019AM/webprogram/Paper338916.htmlAssociation between asthma symptoms and NO2 exposure (2019)[Contribution to conference › Abstract] 2019 Annual conference of the international society for environmental epidemiology. van Zoest, V. M., Hoek, G., Osei, F. B. & Stein, A.https://doi.org/10.1097/01.EE9.0000610580.28808.f5Innovative remote sensing applications to support land tenure mapping in Kenya (2019)[Contribution to conference › Abstract] NCG Symposium 2019. Koeva, M. N., Stöcker, C., Crommelinck, S., Zevenbergen, J. A. & Vosselman, G.https://its4land.com/wp-content/uploads/2019/09/NCG-Symposium_Abstract-Mila.pdf
Article
UAV-Based Structural Damage Mapping: A Review (2019)ISPRS international journal of geo-information, 9(1), 1-21. Article 14. Kerle, N., Nex, F. C., Gerke, M., Duarte, D. A. & Vetrivel, A.https://doi.org/10.3390/ijgi9010014Spatial and temporal changes in prevalence of obesity among Chinese children and adolescents, 1985–2005 (2019)Preventing chronic disease, 16, 1-4. Article E160. Jia, P., Ma, S., Qi, X. & Wang, Y.https://doi.org/10.5888/pcd16.190290Association between blood circulating vitamin D and colorectal cancer risk in Asian countries: a systematic review and dose-response meta-analysis (2019)BMJ open, 9(12), 1-13. Article e030513. Zhang, L., Zou, H., Zhao, Y., Hu, C., Atanda, A., Qin, X., Jia, P., Jiang, Y. & Qi, Z.https://doi.org/10.1136/bmjopen-2019-030513Evaluating the effects of climate extremes on crop yield, production and price using multivariate distributions: A new copula application (2019)Weather and climate extremes, 26, 1-9. Article 100227. Alidoost, F., Su, Z. & Stein, A.https://doi.org/10.1016/j.wace.2019.100227Incorporating multiple travel modes into a floating catchment area framework to analyse patterns of accessibility to hierarchical healthcare facilities (2019)Journal of Transport and Health, 15, 1-33. Article 100675. Ma, X., Ren, F., Du, Q., Liu, P., Li, L., Xi, Y. & Jia, P.https://doi.org/10.1016/j.jth.2019.100675PolSARNet: A Deep Fully Convolutional Network for Polarimetric SAR Image Classification (2019)IEEE Journal of selected topics in applied earth observations and remote sensing, 12(12), 5300-5309. Article 8936481. Mullissa, A. G., Persello, C. & Stein, A.https://doi.org/10.1109/JSTARS.2019.2956650The temporal dynamics of slums employing a CNN-based change detection approach (2019)Remote sensing, 11(23). Article 2844. Liu, R., Kuffer, M. & Persello, C.https://doi.org/10.3390/rs11232844Sinkhole occurrence monitoring over shallow abandoned coal mines with satellite-based persistent scatterer interferometry (2019)Engineering geology, 262, 1-13. Article 105336. Malinowska, A. A., Witkowski, W. T., Hejmanowski, R., Chang, L., van Leijen, F. J. & Hanssen, R. F.https://doi.org/10.1016/j.enggeo.2019.105336Structural Building Damage Detection with Deep Learning: Assessment of a State-of-the-Art CNN in Operational Conditions (2019)Remote sensing, 11(23), 1-17. Article 2765. Nex, F., Duarte, D., Giulio Tonolo, F. & Kerle, N.https://doi.org/10.3390/rs11232765Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery (2019)Remote sensing, 11(21), 1-22. Article 2505. Crommelinck, S., Koeva, M. N., Yang, M. Y. & Vosselman, G.https://doi.org/10.3390/rs11212505Model-based small area estimation at two scales using Moran's spatial filtering (2019)Spatial and Spatio-temporal Epidemiology, 31. Article 100303. Truong, P. N. & Stein, A.https://doi.org/10.1016/j.sste.2019.100303Variation in actual evapotranspiration following changes in climate and vegetation cover during an ecological restoration period (2000–2015) in the Loess Plateau, China (2019)Science of the total environment, 689, 534-545. Ma, Z., Yan, N., Wu, B., Stein, A., Zhu, W. & Zeng, H.https://doi.org/10.1016/j.scitotenv.2019.06.155Geographic Variation in Prevalence of Adult Obesity in China: Results From the 2013–2014 National Chronic Disease and Risk Factor Surveillance (2019)Annals of Internal Medicine, 172(4), 291-293. Zhang, X., Zhang, M., Zhao, Z., Huang, Z., Deng, Q., Li, Y., Pan, A., Li, C., Chen, Z., Zhou, M., Yu, C., Stein, A., Jia, P. & Wang, L.https://doi.org/10.7326/M19-0477Detecting building changes between airborne laser scanning and photogrammetric data (2019)Remote sensing, 11(20), 1-17. Article 2417. Zhang, Z., Vosselman, G., Gerke, M., Persello, C., Tuia, D. & Yang, M. Y.https://doi.org/10.3390/rs11202417Mapping 123 million neonatal, infant and child deaths between 2000 and 2017 (2019)Nature, 574 , 353-358. Osei, F. B.https://doi.org/10.1038/s41586-019-1545-0Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating (2019)Journal of applied remote sensing, 13(4). Article 044504. Matikainen, L., Pandžić, M., Li, F., Karila, K., Hyyppä, J., Litkey, P., Kukko, A., Lehtomäki, M., Karjalainen, M. & Puttonen, E.https://doi.org/10.1117/1.JRS.13.4.044504Estimating fine-scale heat vulnerability in Beijing through two approaches: Spatial patterns, similarities, and divergence (2019)Remote sensing, 11(20), 1-21. Article 2358. Guo, X., Huang, G., Jia, P. & Wu, J.https://doi.org/10.3390/rs11202358The association between residential density and physical activity among urban adults in regional China (2019)BMC public health, 19(1). Article 1279. Wang, Z., Qin, Z., He, J., Ma, Y., Ye, Q., Xiong, Y. & Xu, F.https://doi.org/10.1186/s12889-019-7593-4Monitoring Deformation along Railway Systems Combining Multi-Temporal InSAR and LiDAR Data (2019)Remote sensing, 11(19), 1-19. Article 2298. Hu, F., van Leijen, F. J., Chang, L., Wu, J. & Hanssen, R. F.https://doi.org/10.3390/rs11192298A deep-learning-based approach for fast and robust steel surface defects classification (2019)Optics and Lasers in Engineering, 121, 397-405. Fu, G., Sun, P., Zhu, W., Yang, J., Cao, Y., Yang, M. Y. & Cao, Y.https://doi.org/10.1016/j.optlaseng.2019.05.005Accurate salient object detection via dense recurrent connections and residual-based hierarchical feature integration (2019)Signal Processing: Image Communication, 78, 103-112. Cao, Y., Fu, G., Yang, J., Cao, Y. & Yang, M. Y.https://doi.org/10.1016/j.image.2019.06.004Fusion of multispectral data through illumination-aware deep neural networks for pedestrian detection (2019)Information Fusion, 50, 148-157. Guan, D., Cao, Y., Yang, J., Cao, Y. & Yang, M. Y.https://doi.org/10.1016/j.inffus.2018.11.017Improvement in food environments may help prevent childhood obesity: Evidence from a 9‐year cohort study (2019)Pediatric Obesity, 14(10). Article e12536. Wang, Y., Jia, P., Cheng, X. & Xue, H.https://doi.org/10.1111/ijpo.12536Incorporating Temporary Coherent Scatterers in Multi-Temporal InSAR Using Adaptive Temporal Subsets (2019)IEEE transactions on geoscience and remote sensing, 57(10), 7658-7670. Article 8756305. Hu, F., Wu, J., Chang, L. & Hanssen, R. F.https://doi.org/10.1109/TGRS.2019.2915658Principles and methods of scaling geospatial Earth science data (2019)Earth-science reviews, 197, 1-17. Article 102897. Ge, Y., Jin, Y., Stein, A., Chen, Y., Wang, J., Wang, J., Cheng, Q., Bai, H., Liu, M. & Atkinson, P. M.https://doi.org/10.1016/j.earscirev.2019.102897UAV-g 2019: Unmanned Aerial Vehicles in Geomatics (2019)Drones , 3(3), 1-9. Article 74. Nex, F. C.https://doi.org/10.3390/drones3030074Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping (2019)Remote sensing of environment, 231, 1-18. Article 111253. Persello, C., Tolpekin, V. A., Bergado, J. R. & de By, R. A.https://doi.org/10.1016/j.rse.2019.111253Bayesian Random Effect Modeling for analyzing spatial clustering of differential time trends of diarrhea incidences (2019)Scientific reports, 9. Article 13217. Osei, F. B. & Stein, A.https://doi.org/10.1038/s41598-019-49549-4Crowd-Driven and Automated Mapping of Field Boundaries in Highly Fragmented Agricultural Landscapes of Ethiopia with Very High Spatial Resolution Imagery (2019)Remote sensing, 11. Article 2082. Marshall, M. T., Crommelinck, S., Kohli, D., Perger, C., Yang, M. Y., Ghosh, A., Fritz, S., de Bie, C. A. J. M. & Nelson, A. D.https://doi.org/10.3390/rs11182082Bayesian inference in natural hazard analysis for incomplete and uncertain data (2019)Environmetrics, 30(6). Article e2566. Smit, A., Stein, A. & Kijko, A.https://doi.org/10.1002/env.2566Finding safe and efficient shipping routes in ice-covered waters: A framework and a model (2019)Cold Regions Science and Technology, 165, 1-14. Article 102795. Lehtola, V. V., Montewka, J., Goerlandt, F., Guinness, R. & Lensu, M.https://doi.org/10.1016/j.coldregions.2019.102795Preregistration classification of mobile LIDAR data using spatial correlations (2019)IEEE transactions on geoscience and remote sensing, 57(9), 6900-6915. Article 8700597. Lehtola, V. V., Lehtomaki, M., Hyyti, H., Kaijaluoto, R., Kukko, A., Kaartinen, H. & Hyyppa, J.https://doi.org/10.1109/TGRS.2019.2909351Sensitivity of multiresolution segmentation to spatial extent (2019)International Journal of Applied Earth Observation and Geoinformation (JAG), 81, 146-153. Drăguţ, L., Belgiu, M., Popescu, G. & Bandura, P.https://doi.org/10.1016/j.jag.2019.05.002Towards 3D Indoor Cadastre Based on Change Detection from Point Clouds (2019)Remote sensing, 11(17). Article 1972. Koeva, M. N., Nikoohemat, S., Oude Elberink, S. J., Morales Guarin, J. M., Lemmen, C. H. J. & Zevenbergen, J. 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V., Montewka, J. & Salokannel, J.https://doi.org/10.1017/S0373463319000651Automatic extraction of accurate 3D tie points for trajectory adjustment of mobile laser scanners using aerial imagery (2019)ISPRS journal of photogrammetry and remote sensing, 154, 41-58. Hussnain, S. Z., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2019.05.010Calibration of low-cost NO2 sensors in an urban air quality network (2019)Atmospheric environment, 210, 66-75. Van Zoest, V. M., Osei, F. B., Stein, A. & Hoek, G.https://doi.org/10.1016/j.atmosenv.2019.04.048Examining and optimizing the BCycle bike-sharing system–A pilot study in Colorado, US (2019)Applied energy, 247, 1-12. Hu, Y., Zhang, Y., Lamb, D., Zhang, M. & Jia, P.https://doi.org/10.1016/j.apenergy.2019.04.007Semantic segmentation of road furniture in mobile laser scanning data (2019)ISPRS journal of photogrammetry and remote sensing, 154, 98-113. Li, F., Lehtomäki, M., Oude Elberink, S. J., Vosselman, G., Kukko, A., Puttonen, E., Chen, Y. & Hyyppä, J.https://doi.org/10.1016/j.isprsjprs.2019.06.001Surface Water Body Detection in Polarimetric SAR Data Using Contextual Complex Wishart Classification (2019)Water resources research, 55(8), 7047-7059. Article 025192. Goumehei, E., Tolpekin, V. A., Stein, A. & Yan, W.https://doi.org/10.1029/2019WR025192A spatial-temporal statistical analysis of health seasonality: explaining HFMD infections within a children population along the Vietnamese south central coast (2019)BMC public health, 19(1), 1-10. Article 937. Truong, P. N., Nguyen, T. V., Nguyen, T. T. T. & Stein, A.https://doi.org/10.1186/s12889-019-7281-4Residential density was negatively associated with excess body weight among adults in an urban region of China (2019)PLoS ONE, 14(7), 1-11. Article e0219314. Wang, N., Wang, Z., Qin, Z., Ye, Q., Jia, P., Xu, Z., Xiong, Y. & Xu, F.https://doi.org/10.1371/journal.pone.0219314Exploring GNSS crowdsourcing feasibility: Combinations of measurements for modeling smartphone and higher end GNSS receiver performance (2019)Sensors (Switzerland), 19(13), 1-17. Article 3018. Lehtola, V. V., Söderholm, S., Koivisto, M. & Montloin, L.https://doi.org/10.3390/s19133018Top 10 Research Priorities in Spatial Lifecourse Epidemiology (2019)Environmental Health Perspectives, 127(7), 1-7. Article 074501. Jia, P., Lakerveld, J., Wu, J., Stein, A., Root, E., Sabel, C., Vermeulen, R., Remais, J., Chen, X., Brownson, R., Amer, S., Xiao, Q., Wang, L., Verschuren, M., Wu, T., Wang, Y. & James, P.https://doi.org/10.1289/EHP4868Association of neighborhood built environments with childhood obesity: evidence from a 9-year longitudinal, nationally representative survey in the US (2019)Environment international, 128, 158-164. Jia, P., Xue, H., Cheng, X., Wang, Y. & Wang, Y.https://doi.org/10.1016/j.envint.2019.03.067Co‐registration of panoramic mobile mapping images and oblique aerial images (2019)Photogrammetric record, 34(166), 148-173. Jende, P. L. H., Nex, F. C., Vosselman, G. & Gerke, M.https://doi.org/10.1111/phor.12276Differential effects of distance decay on hospital inpatient visits among subpopulations in Florida (2019)Environmental monitoring and assessment, 191(suppl 2), 1-16. Article 381. Jia, P., Wang, F. & Xierali, I.https://doi.org/10.1007/s10661-019-7468-2Teaming up census and patient data to delineate fine-scale hospital service areas and identify geographic disparities in hospital accessibility (2019)Environmental monitoring and assessment, 191(suppl 2:303), 1-14. Article 303. Jia, P., Shi, X. & Xierali, I.https://doi.org/10.1007/s10661-019-7413-4Assessing and transferring soil health information in a hilly terrain (2019)Geoderma, 343, 130-138. Chhipa, V., Stein, A., Shankar, H., George K, J. & Alidoost, F.https://doi.org/10.1016/j.geoderma.2019.02.018Association between perceived access to public transport stops and physical activity among adults in Nanjing, Mainland China: A cross-sectional study (2019)Journal of Transport and Health, 13, 12-18. Wang, Z., Ma, Y., Qin, Z., Ye, Q., Xu, Z., Han, L., Jia, P. & Xu, F.https://doi.org/10.1016/j.jth.2019.03.002Global health efforts and opportunities related to the Belt and Road Initiative (2019)The Lancet Global Health, 7(6), e703-e705. Jia, P. & Wang, Y.https://doi.org/10.1016/S2214-109X(19)30062-2Identifying a Slums’ Degree of Deprivation from VHR Images Using Convolutional Neural Networks (2019)Remote sensing, 11(11). Article 1282. Ajami, A., Kuffer, M., Persello, C. & Pfeffer, K.https://doi.org/10.3390/rs11111282Semantic Façade Segmentation from Airborne Oblique Images (2019)Photogrammetric engineering and remote sensing, 85(6), 425-433. Lin, Y., Nex, F. C. & Yang, M. Y.https://doi.org/10.14358/PERS.85.6.425Vegetable classification in Indonesia using Dynamic Time Warping of Sentinel-1A dual polarization SAR time series (2019)International Journal of Applied Earth Observation and Geoinformation (JAG), 78(June), 268-280. Li, M. & Bijker, W.https://doi.org/10.1016/j.jag.2019.01.009Object-Based Time-Constrained Dynamic Time Warping Classification of Crops Using Sentinel-2 (2019)Remote sensing, 11(10), 1-26. Article 1257. Csillik, O., Belgiu, M., Asner, G. P. & Kelly, M.https://doi.org/10.3390/rs11101257Effects of school neighborhood food environments on childhood obesity at multiple scales: a longitudinal kindergarten cohort study in the USA (2019)BMC Medicine, 17. Article 99. Jia, P., Xue, H., Cheng, X. & Wang, Y.https://doi.org/10.1186/s12916-019-1329-2Towards Cadastral Intelligence?: Extracting visible boundaries from UAV data through image analysis and machine learning (2019)GIM International. Crommelinck, S. C. & Koeva, M. N.https://www.gim-international.com/content/article/towards-cadastral-intelligenceThe use of bivariate copulas for bias correction of reanalysis air temperature data (2019)PLoS ONE, 14(5), 1-22. Article e0216059. Alidoost, F., Stein, A. & Su, B.https://doi.org/10.1371/journal.pone.0216059Rodents and satellites: Predicting mice abundance and distribution with Sentinel-2 data (2019)Ecological informatics, 51, 157-167. Andreo, V. C., Belgiu, M., Hoyos, D. B., Osei, F. B., Provensal, C. & Stein, A.https://doi.org/10.1016/j.ecoinf.2019.03.001Design, Calibration, and Evaluation of a Backpack Indoor Mobile Mapping System (2019)Remote sensing, 11(8), 1-23. Article 905. Karam, S., Vosselman, G., Peter, M., Hosseinyalamdary, S. & Lehtola, V. V.https://doi.org/10.3390/rs11080905Spatiotemporal image fusion in remote sensing (2019)Remote sensing, 11(7), 1-20. Article 818. Belgiu, M. & Stein, A.https://doi.org/10.3390/rs11070818Parental preferences in the choice for a specialty school (2019)Journal of School Choice, 13(2), 198-227. Prieto, L. M., Aguero-Valverde, J., Zarrate-Cardenas, G. & van Maarseveen, M.https://doi.org/10.1080/15582159.2018.1442087Status of geoinformatics education and training in Sub-Saharan Africa: initiatives taken and challenges (2019)Journal of Geography in Higher Education, 43(2), 224-243. Sumari, N. S., Shao, Z., Van Genderen, J. L., Musakwa, W., Ujoh, F., Washaya, P. & Gumbo, T.https://doi.org/10.1080/03098265.2019.1599831Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection (2019)ISPRS journal of photogrammetry and remote sensing, 150(April), 70-79. Cao, Y., Guan, D., Wu, Y., Yang, J., Cao, Y. & Yang, M. Y.https://doi.org/10.1016/j.isprsjprs.2019.02.005Earth Observation: Investigating Noncommunicable Diseases from Space (2019)Annual Review of Public Health, 40, 85-104. Article 24. Jia, P., Stein, A., James, P., Brownson, R. C., Wu, T., Xiao, Q., Wang, L., Sabel, C. E. & Wang, Y.https://doi.org/10.1146/annurev-publhealth-040218-043807Identifying rice stress on a regional scale from multi-temporal satellite images using a Bayesian method (2019)Environmental Pollution, 247(April), 488-498. Liu, M., Wang, T., Skidmore, A. K., Liu, X. & Li, M.https://doi.org/10.1016/j.envpol.2019.01.024Rapid prediction of the magnitude scale of landslide events triggered by an earthquake (2019)Landslides, 16(4), 661-676. Tanyaş, H., van Westen, C. J., Persello, C. & Alvioli, M.https://doi.org/10.1007/s10346-019-01136-4Vehicle Detection in Aerial Images (2019)Photogrammetric engineering and remote sensing, 85(4), 297-304. Yang, M. Y., Liao, W., Li, X., Cao, Y. & Rosenhahn, B.https://doi.org/10.14358/PERS.85.4.297Preface: Latest Developments, Methodologies, and Applications Based on UAV Platforms (2019)Drones , 3(1), 1-3. Article 26. Nex, F. C. & Remondino, F.https://doi.org/10.3390/drones3010026Population Mapping with Multisensor Remote Sensing Images and Point-Of-Interest Data (2019)Remote sensing, 11(5), 1-14. Article 574. Yang, X., Ye, T., Zhao, N., Chen, Q., Yue, W., Qi, J., Zeng, B. & Jia, P.https://doi.org/10.3390/rs11050574Real-Time Forecasting of Hand-Foot-and-Mouth Disease Outbreaks using the Integrating Compartment Model and Assimilation Filtering (2019)Scientific reports, 9, 1-9. Article 2661. Zhan, Z., Dong, W., Lu, Y., Yang, P., Wang, Q. & Jia, P.https://doi.org/10.1038/s41598-019-38930-ySpatial lifecourse epidemiology (2019)The Lancet Planetary Health, 3(2), e57-e59. Jia, P.https://doi.org/10.1016/S2542-5196(18)30245-6Identification of deformation pattern changes caused by enhanced oil recovery (EOR) using InSAR (2019)International journal of remote sensing, 40(4), 1495-1505. Chang, L., Ku, O. & Hanssen, R.https://doi.org/10.1080/01431161.2018.1526426A coarse-to-fine registration strategy for multi-sensor images with large resolution differences (2019)Remote sensing, 11(4). Article 470. Li, K., Zhang, Y., Zhang, Z. & Lai, G.https://doi.org/10.3390/rs11040470Modification Effects of Population Expansion, Ageing, and Adaptation on Heat-Related Mortality Risks Under Different Climate Change Scenarios in Guangzhou, China (2019)International journal of environmental research and public health, 16(3). Article 376. Liu, T., Ren, Z., Zhang, Y., Feng, B., Lin, H., Xiao, J., Zeng, W., Li, X., Li, Z., Rutherford, S., Xu, Y., Lin, S., Nasca, P. C., Du, Y., Wang, J., Huang, C., Jia, P. & Ma, W.https://doi.org/10.3390/ijerph16030376Out of Plumb Assessment for Cylindrical-Like Minaret Structures Using Geometric Primitives Fitting (2019)ISPRS international journal of geo-information, 8(2), 1-21. Alsadik, B., Abdulateef, N. A. & Khalaf, Y. H.https://doi.org/10.3390/ijgi8020064Modeling Schistosoma japonicum Infection under Pure Specification Bias: Impact of Environmental Drivers of Infection (2019)International journal of environmental research and public health, 16(2), 1-18. Article 176. Araujo Navas, A. L., Osei, F. B., Leonardo, L. R., Soares Magalhães, R. J. & Stein, A.https://doi.org/10.3390/ijerph16020176Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images (2019)Remote sensing, 11(14). Article 1725. Xia, X., Persello, C. & Koeva, M. N.https://doi.org/10.3390/rs11141725Ecological Civilization: Perspectives from Landscape Ecology and Landscape Sustainability Science : editorial to the special issue (2019)Landscape ecology, 34(1), 1-8. Frazier, A., Bryan, B., Buyantuev, A., Chen, L., Echevarria, C., Jia, P., Liu, L., Li, Q., Ouyang, Z., Wu, J., Xiang, W.-N., Yang, J., Yang, L. & Zhao, S.https://doi.org/10.1007/s10980-019-00772-4Evaluation of ForestPA for VHR RS image classification using spectral and superpixel-guided morphological profiles (2019)European Journal of Remote Sensing , 52(1), 107-121. Samat, A., Liu, S., Persello, C., Li, E., Miao, Z. & Abuduwaili, J.https://doi.org/10.1080/22797254.2019.1565418Flood level estimation from news articles and flood detection from satellite image sequences (2019)Development, 52(75.56), 73-23. Feng, Y., Tang, S., Cheng, H. & Sester, M.Heat Flux Sources Analysis to the Ross Ice Shelf Polynya Ice Production Time Series and the Impact of Wind Forcing (2019)Remote sensing, 11(2). Article 188. Cheng, Z., Pang, X., Zhao, X. & Stein, A.https://doi.org/10.3390/rs11020188Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model (2019)Science of the total environment, 658, 936-946. Ye, T., Zhao, N., Yang, X., Ouyang, Z., Liu, X., Chen, Q., Hu, K., Yue, W., Qi, J., Li, Z. & Jia, P.https://doi.org/10.1016/j.scitotenv.2018.12.276Poisson-Gamma Mixture Spatially Varying Coefficient Modeling of Small-Area Intestinal Parasites Infection (2019)International journal of environmental research and public health, 16(3). Article 339. Osei, F. B., Stein, A. & Ofosu, A.https://doi.org/10.3390/ijerph16030339Spatial Technologies in Obesity Research: Current Applications and Future Promise (2019)Trends in Endocrinology and Metabolism, 30(3), 211-223. Jia, P., Xue, H., Yin, L., Stein, A., Wang, M. & Wang, Y.https://doi.org/10.1016/j.tem.2018.12.003
Book
Adjustment Models in 3D Geomatics and Computational Geophysics (2019)[Book/Report › Book]. Elsevier. Alsadik, B.https://doi.org/10.1016/C2018-0-02477-9
Chapter
Introduction to multimodal scene understanding (2019)In Multimodal Scene Understanding: Algorithms, Applications and Deep Learning (pp. 1-7). Elsevier. Yang, M. Y., Rosenhahn, B. & Murino, V.https://doi.org/10.1016/B978-0-12-817358-9.00007-XLearning convolutional neural networks for object detection with very little training data (2019)In Multimodal Scene Understanding: Algorithms, Applications and Deep Learning (pp. 65-100). Elsevier. Reinders, C., Ackermann, H., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1016/B978-0-12-817358-9.00010-XMultimodal fusion architectures for pedestrian detection (2019)In Multimodal Scene Understanding: Algorithms, Applications and Deep Learning (pp. 101-133). Elsevier. Guan, D., Yang, J., Cao, Y., Yang, M. Y. & Cao, Y.https://doi.org/10.1016/B978-0-12-817358-9.00011-1Change detection between digital surface models from airborne laser scanning and dense image matching using convolutional neural networks (2019)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 453-460) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Zhang, Z., Vosselman, G., Gerke, M., Persello, C., Tuia, D. & Yang, M. Y.https://doi.org/10.5194/isprs-annals-IV-2-W5-453-2019Damage detection on building façades using multi-temporal aerial oblique imagery (2019)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 29-36) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Duarte, D. A., Nex, F., Kerle, N. & Vosselman, G.https://doi.org/10.5194/isprs-annals-IV-2-W5-29-2019Indoor 3d modeling and flexible space subdivision from point clouds (2019)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 285-292) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Nikoohemat, S., Diakité, A., Zlatanova, S. & Vosselman, G.https://doi.org/10.5194/isprs-annals-IV-2-W5-285-2019
Comment/Letter to the editor
Conference contribution
Its4land - Innovative Geospatial Tools for Fit-for-Purpose Land Rights Mapping (2019)In Proceedings of the ISPRS Geospatial Week 2019. University of Twente. Crompvoets, J., Koeva, M., Crommelinck, S., Stöcker, C., Ho, S., Casiano, C., Schwering, A., Chipofya, M., Jan, S., Zein, T., Timm, C., Kundert, K., Nkerabigwi, P., Alemie, B. & Wayumba, R.Inpainting occlusion holes in 3d built environment point clouds (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 6th International Workshop LowCost 3D – Sensors, Algorithms, Applications, (pp. 393-398) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Väänänen, P. & Lehtola, V.https://doi.org/10.5194/isprs-archives-XLII-2-W17-393-2019Integrating a low-cost mems imu into a laser-based slam for indoor mobile mapping (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 6th International Workshop LowCost 3D – Sensors, Algorithms, Applications (pp. 149-156) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Karam, S., Lehtola, V. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLII-2-W17-149-2019Single photon lidar in mobile laser scanning: the sampling rate problem and initial solutions via spatial correlations (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: Optical 3D Metrology (pp. 91-97) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. XLII). International Society for Photogrammetry and Remote Sensing (ISPRS). Lehtola, V. V., Hyyti, H., Keränen, P. & Kostamovaara, J.https://doi.org/10.5194/isprs-archives-XLII-2-W18-91-2019Assessment Of Sentinel-1 Products For Revealing Glacier Surface Movement In Indian Himalayas Using Differential Sar Interferometry (2019)In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 2070-2073). Article 8898831 (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2019). IEEE. Mahagaonkai, A., Thakur, P. K. & Chang, L.https://doi.org/10.1109/IGARSS.2019.8898831Extracting cadastral boundaries from uav images using fully convolutional networks (2019)In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 2455-2458). Article 8898156 (Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARRS); Vol. 2019). IEEE. Xia, X., Koeva, M. N. & Persello, C.https://doi.org/10.1109/IGARSS.2019.8898156Exploiting attention for visual relationship detection (2019)In Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10–13, 2019, Proceedings (pp. 331-344) (Lecture Notes in Computer Science; Vol. 11824). Springer. Hu, T., Liao, W., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1007/978-3-030-33676-9_23LIP: Learning instance propagation for video object segmentation (2019)In Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019 (pp. 2739-2748). Article 9022371. IEEE. Lyu, Y., Vosselman, G., Xia, G. S. & Yang, M. Y.https://doi.org/10.1109/ICCVW.2019.00335Challenges of Mapping the Missing Spaces (2019)In IEEE - Joint Urban Remote Sensing Event, 2019. Article 8809004. IEEE. Gevaert, C. M., Kohli, D. & Kuffer, M.https://doi.org/10.1109/JURSE.2019.8809004UAV-based structural damage mapping – Results from 6 years of research in two European projects (2019)In Gi4DM 2019 – GeoInformation for Disaster Management: SPRS ICWG III/IVa (pp. 187-194) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. XLII-3/W8). Kerle, N., Nex, F., Duarte, D. & Vetrivel, A.https://doi.org/10.5194/isprs-archives-XLII-3-W8-187-2019Deep Learning for Semantic Segmentation of UAV Videos (2019)In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 2459-2462). Article 8899786 (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Wang, Y., Lyu, Y., Cao, Y. & Yang, M. Y.https://doi.org/10.1109/IGARSS.2019.8899786Deep Convolutional Networks for Cloud Detection Using Resourcesat-2 Data (2019)In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 9851-9854). Article 8898628 (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Varshney, D., Gupta, P. K., Persello, C. & Nikam, B. R.https://doi.org/10.1109/IGARSS.2019.8898628Subsidence monitoring with INSAR techniques aided by laser scanning data and topographic map: A case study of Rotterdam reclaimed areas (2019)In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 33-36). IEEE. Chang, L.https://doi.org/10.1109/IGARSS.2019.8897936Towards automated delineation of smallholder farm fields from VHR images using convolutional networks (2019)In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 3836-3839). Article 8897979 (International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. Persello, C., Tolpekin, V., Bergado, J. R. & De By, R. A.https://doi.org/10.1109/IGARSS.2019.8897979X-band polarimetric sar copolar phase difference for fresh snow depth estimation in the Northwestern Himalayan watershed (2019)In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 4102-4105). IEEE. Majumdar, S., Thakur, P. K., Chang, L. & Kumar, S.https://doi.org/10.1109/IGARSS.2019.8898884Polinsar based scattering information retrieval for forest aboveground biomass estimation (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 1913-1920) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Agrawal, N., Kumar, S. & Tolpekin, V. A.https://doi.org/10.5194/isprs-archives-XLII-2-W13-1913-2019Correction of mobile mapping trajectories in gnss-denied environments using aerial nadir and aerial oblique images (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 1649-1654) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Fanta-jende, P., Nex, F., Gerke, M., Lijnen, J. J. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLII-2-W13-1649-2019Efficient Flight Planning For Building Façade 3D Reconstruction (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 495-502) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Palanirajan, H. K., Nex, F., Oude Elberink, S. J. & Alsadik, B.https://doi.org/10.5194/isprs-archives-XLII-2-W13-495-2019Fully convolutional networks for street furniture identification in panorama images (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 13-20) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Ao, Y., Wang, J., Zhou, M., Lindenbergh, R. C. & Yang, M. Y.https://doi.org/10.5194/isprs-archives-XLII-2-W13-13-2019Human detection based on a sequence of thermal images using deep learning (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 127-132) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Wang, X. & Hosseinyalamdary, S.https://doi.org/10.5194/isprs-archives-XLII-2-W13-127-2019Preface-ISPRS international symposium on spatial data quality (ISSDQ 2019) (2019)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 1191-1192) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Stein, A., Shi, W. & Delavar, M. R.https://doi.org/10.5194/isprs-archives-XLII-2-W13-1191-2019Preface-ISPRS workshop on unmanned aerial vehicles in geomatics (uav-g 2019) (2019)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 163-164) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Nex, F.https://doi.org/10.5194/isprs-annals-IV-2-W5-85-2019Semantic labeling of als point clouds for tree species mapping using the deep neural network pointnet++ (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 951-955) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Briechle, S., Krzystek, P. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLII-2-W13-951-2019Semantic segmentation of building in airborne images (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 35-42) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Huang, S., Nex, F., Lin, Y. & Yang, M. Y.https://doi.org/10.5194/isprs-archives-XLII-2-W13-35-2019Uav-based cadastral mapping: an assessment of the impact of flight parameters and ground truth measurements on the absolute accuracy of derived orthoimages (2019)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 613-617) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Stöcker, C., Nex, F., Koeva, M. & Gerke, M.https://doi.org/10.5194/isprs-archives-XLII-2-W13-613-2019Natural language guided visual relationship detection (2019)In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 (pp. 444-453). Article 9025468 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2019-June). IEEE. Liao, W., Rosenhahn, B., Shuai, L. & Yang, M. Y.https://doi.org/10.1109/CVPRW.2019.00058Orientation-aware deep neural network for real image super-resolution (2019)In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 (pp. 1944-1953). Article 9025541 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2019-June). IEEE. Du, C., Zewei, H., Anshun, S., Jiangxin, Y., Yanlong, C., Yanpeng, C., Siliang, T. & Yang, M. Y.https://doi.org/10.1109/CVPRW.2019.00246The Generic Slum Ontology: Can a Global Slum Repository be created? (2019)In IEEE - Joint Urban Remote Sensing Event, 2019. Article 8809034. IEEE. Kohli, D., Kuffer, M. & Gevaert, C. M.https://doi.org/10.1109/JURSE.2019.8809034Unsupervised domain adaptation for multispectral pedestrian detection (2019)In Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019 (pp. 434-443). Article 9025341 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2019-June). IEEE. Guan, D., Luo, X., Cao, Y., Yang, J., Cao, Y., Vosselman, G. & Yang, M. Y.https://doi.org/10.1109/CVPRW.2019.00057Multiple-point geostatistics to derive missing surface displacement values of a glacier inferred from dinsar (2019)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS Geospatial Week 2019 (pp. 631-638) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Ranjit, B., Tolpekin, V. A. & Stein, A.https://doi.org/10.5194/isprs-annals-IV-2-W5-631-2019Detection of informal graveyards in lima using fully convolutional network with VHR images (2019)In 2019 Joint Urban Remote Sensing Event, JURSE 2019 (pp. 1-4). Article 8808983. IEEE. Debray, H., Kuffer, M., Persello, C., Klaufus, C. & Pfeffer, K.https://doi.org/10.1109/JURSE.2019.8808983Do we underestimate the global slum population? (2019)In 2019 Joint Urban Remote Sensing Event, JURSE 2019 (pp. 1-4). Article 8809066. IEEE. Kuffer, M., Persello, C., Pfeffer, K., Sliuzas, R. & Rao, V.https://doi.org/10.1109/JURSE.2019.8809066Regional scale environmental variables complementing a Risk Model of Chagas Disease vectorial transmission (2019)In 2018 IEEE Biennial Congress of Argentina, ARGENCON 2018. Article 8646185. IEEE. Porcasi, X., Andreo, V., Ferral, A., Guimarey, P., Santini, M. S., Spillmann, C., Hernandez, R., Serra, A. G. & Aguirre, E.https://doi.org/10.1109/ARGENCON.2018.8646185
Dataset
Position Estimation of Mobile Mapping Imaging Sensors Using Aerial Images (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Jende, P.https://doi.org/10.17026/dans-zsb-rn8eA modified model for estimating tree height from PolInSAR with compensation for temporal decorrelation (2019)[Dataset Types › Dataset]. European Space Agency. Ghasemi, N., Stein, A. & Tolpekin, V.https://doi.org/10.17026/dans-x8z-ymqeAssessment of Forest Above-Ground Biomass Estimation from PolInSAR in the Presence of Temporal Decorrelation (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Ghasemi, N.https://doi.org/10.17026/dans-xrx-dcphEstimating Tree Heights Using Multibaseline PolInSAR Data With Compensation for Temporal Decorrelation, Case Study: AfriSAR Campaign Data (2019)[Dataset Types › Dataset]. European Space Agency (ESA). Ghasemi, N., Stein, A. & Lavalle, M.https://doi.org/10.17026/dans-xem-fra9Model-based small area estimation at two scales using Moran's spatial filtering (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Truong, P. N.https://doi.org/10.17026/dans-z63-u9kwPotential of multi-temporal SENTINEL-1A dual polarization SAR images for vegetable classification in Indonesia : SMARTSeeds project - ITC part: vegetable classification (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Bijker, W. & Li, M.https://doi.org/10.17026/dans-xxt-tqcrPoisson-Gamma Mixture Spatially Varying Coefficient Modeling of Small-Area Intestinal Parasites Infection (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Osei, F. B. & Stein, A.https://doi.org/10.17026/dans-zwr-z99uUncertainty in the modeling of spatial big data on a pattern of bushfires holes (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Tolpekin, V. & Stein, A.https://doi.org/10.17026/dans-z2m-44e4Spatial and temporal heterogeneities of district-level typhoid morbidities in Ghana: A requisite insight for informed public health response (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Osei, F. B. & Stein, A.https://doi.org/10.17026/dans-x9z-q233Indoor mobile laser scanning system (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Karam, S. & Vosselman, G.https://doi.org/10.17026/dans-zmu-3gypIts4Land Automating image-based cadastral boundary mapping (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Crommelinck, S. & Koeva, M.https://doi.org/10.17026/dans-24k-fxw4High resolution remote sensing imagery and derived agricultural field boundaries in Ethiopia. (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Nelson, A., Marshall, M. T., Crommelinck, S., Kohli, D., Perger, C., Yang, M., Ghosh, A., Fritz, S. & de Bie, K.https://doi.org/10.17026/dans-x9y-dwkkDevelopment of an Automatic system for Mapping Air quality risks in Space and Time (DAMAST) (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). van Zoest, V. & Stein, A.https://doi.org/10.17026/dans-xmp-fw6hScaling of Remote Sensing Information for Orchard Management (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Mahour, M.https://doi.org/10.17026/dans-2ca-sn23Semantic segmentation of pole-like road Furniture in mobile laser scanning data (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Li, F.https://doi.org/10.17026/dans-xw8-wsddModeling Schistosoma japonicum infection under Pure Specification Bias: Impact of Environmental Drivers of Infection (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Araujo Navas, A. L. & Leonardo, L. R.https://doi.org/10.17026/dans-zku-6324Temporal trend and spatial clustering of cholera epidemic in Kumasi-Ghana : Scientific Reports 8, Article number: 17848 (2018) (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Osei, F. B. & Stein, A.https://doi.org/10.17026/dans-xef-9476Modelling the impact of MAUP on environmental drivers for Schistosoma japonicum prevalence (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Leonardo, L. R. & Araujo Navas, A. L.https://doi.org/10.17026/dans-x8y-th3gThe use of bivariate copulas for bias correction of reanalysis air temperature data : University of Twente (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Alidoost, S.https://doi.org/10.17026/dans-z4g-eh9rCopulas for integrating weather and land information in space and time (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Alidoost, S.https://doi.org/10.17026/dans-xhv-s75jSmart Indoor Models in 3D (SIMs3D) : 13742 (SIMs3D) (2019)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Nikoohemat, S.https://doi.org/10.17026/dans-22n-w7s8
Editorial
Preface - ISPRS Geospatial Week 2019 (2019)ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4(2/W5). Vosselman, G., Oude Elberink, S. J. & Yang, M. Y.https://doi.org/10.5194/isprs-archives-XLII-2-W13-1-2019
Letter
Towards real-time building damage mapping with low-cost UAV solutions (2019)Remote sensing, 11(3). Article 287. Nex, F. C., Duarte, D., Steenbeek, A. & Kerle, N.https://doi.org/10.3390/rs11030287
Other
Multiple-point geostatistics to derive missing surface displacement values of a glacier inferred from dinsar: powerpoint (2019)[Contribution to conference › Other] 4th ISPRS Geospatial Week 2019. Ranjit, B., Tolpekin, V. A. & Stein, A.Prospects for global monitoring of the SDG SLUM indicator with earth observation: powerpoint (2019)[Contribution to conference › Other] Advanced mapping of urban population patterns in sub-Saharan<br/>Africa 2019. Sliuzas, R. V., Kuffer, M., Wang, J., Nagenborg, M. H., Pfeffer, K., Kohli, D. & Persello, C.
Paper
Its4land - Innovative geospatial tools for fit-for-purpose land rights mapping (2019)[Contribution to conference › Paper] 4th Annual Land Conference of the Institute of Land Administration 2019. Koeva, M. N., Crommelinck, S., Stöcker, C., Crompvoets, J., Ho, S., Casiano, C., Schwering, A., Chipofya, M., Jan, S., Zein, T., Timm, C., Kundert, K., Nkerabigwi, P., Alemie, B. K. & Wayumba, R. N.https://its4land.com/wp-content/uploads/2019/06/BDU-2019-ITS4LAND-group-paper.pdf
PhD Thesis - Research UT, graduation UT
Position estimation of mobile mapping imaging sensors using aerial imagery (2019)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Jende, P. L. H.https://doi.org/10.3990/1.9789036548847Automating image-based cadastral boundary mapping (2019)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Crommelinck, S. C.https://doi.org/10.3990/1.9789036548748Statistical evaluation of spatial uncertainty in schistosomiasis mapping (2019)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Araujo Navas, A. L.https://doi.org/10.3990/1.9789036548281Semantic segmentation of pole-like road Furniture in mobile laser scanning data (2019)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Li, F.https://doi.org/10.3990/1.9789036548106Copulas for integrating weather and land information in space and time (2019)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Alidoost, F.https://doi.org/10.3990/1.9789036547529Estimation of tree height from PolInSAR: The effects of vertical structure and temporal decorrelation (2019)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Ghasemi, N.https://doi.org/10.3990/1.9789036547307
Poster
PolInSAR Based Scattering Information retrieval for Forest Aboveground Biomass Estimation: poster (2019)[Contribution to conference › Poster] 4th ISPRS Geospatial Week 2019. Tolpekin, V. A.
Report
Innovative geospatial technologies to enhance land tenure security in Kenya: Workshop Report (2019)[Book/Report › Report] Its4land Workshop on Innovative Geospatial Technologies to Enhance Land Tenure Security in Kenya 2018. Its4land. Stöcker, C., Crommelinck, S., Chipofya, M., Jan, S., Buntinx, I., Casiano, C., Koeva, M. & Stroeven, C.Machine Learning for Disaster Risk Management (2019)[Book/Report › Report]. World Bank. Deparday, V., Gevaert, C. M., Molinario, G., Soden, R. & Balog-Way, S.http://documents.worldbank.org/curated/en/503591547666118137/Machine-Learning-for-Disaster-Risk-Management
Working paper
Deep neural network for fast and accurate single image super-resolution via channel-attention-based fusion of orientation-aware features: preprint (2019)[Working paper › Working paper]. ArXiv.org. Chen, D., He, Z., Cao, Y., Yang, J., Cao, Y., Yang, M. Y., Tang, S. & Zhuang, Y.https://arxiv.org/abs/1912.04016Exploring the Semantics for Visual Relationship Detection (2019)[Working paper › Working paper]. Liao, W., Lan, C., Zeng, W., Yang, M. Y. & Rosenhahn, B.https://arxiv.org/abs/1904.02104v1
2018
Abstract
Towards Automated Cadastral Boundary Delineation from UAV data (2018)[Contribution to conference › Abstract] NCG symposium 2018 . Crommelinck, S., Yang, M. Y., Koeva, M. N. & Vosselman, G.Data quality assessment of UAV-based products for land tenure recording in East Africa (2018)[Contribution to conference › Abstract] NCG symposium 2018 . Stöcker, C., Nex, F. C., Koeva, M. N. & Zevenbergen, J. A.Unsupervised semantic change detection in informal settlements using UAV imagery (2018)[Contribution to conference › Abstract] NCG symposium 2018 . Gevaert, C. M., Persello, C., Sliuzas, R. V. & Vosselman, G.Fully Convolutional Networks for Ground Classification from Airborne Laser Scanner data (2018)[Contribution to conference › Abstract] NCG symposium 2018 . Rizaldy, A., Persello, C., Gevaert, C. M., Oude Elberink, S. J. & Vosselman, G.Automated object-based satellite image time series classification using dynamic time warping : abstract (2018)[Contribution to conference › Abstract]. Csillik, O., Belgiu, M. & Kelly, M.Scatterer identification and analysis using combined InSAR and laser data (2018)[Contribution to conference › Abstract] EGU General Assembly 2018. Hanssen, R. F., van Natijne, A., Lindenbergh, R. C., Dheenathayalan, P., Yang, M., Chang, L., van Leijen, F., Lopez-Dekker, P., van der Maaden, J., van Oosterom, P., Xiong, H., Hu, P., Zhang, Z. & Yang, B.https://meetingorganizer.copernicus.org/EGU2018/EGU2018-17008.pdfSurveillance of ticks & tick-borne diseases in Europe: Ixodes ricinus transmitted pathogens. (abstract and presentation) : abstract (2018)[Contribution to conference › Abstract] ISESSAH-InnovSur 2018. Rizzoli, A., Tagliapietra, V., Andreo, V. C. & Neteler, M.https://www.alphavisa.com/isessah-innovsur/2018/The detailed interpretation of pole-like street furniture in mobile laser scanning data (2018)[Contribution to conference › Abstract] NCG symposium 2018 . Li, F., Oude Elberink, S. J. & Vosselman, G.
Article
Temporal trend and spatial clustering of cholera epidemic in Kumasi-Ghana (2018)Scientific reports, 8, 1-11. Article 17848. Osei, F. B. & Stein, A.https://doi.org/10.1038/s41598-018-36029-4A Modified Model for Estimating Tree Height from PolInSAR with Compensation for Temporal Decorrelation (2018)International Journal of Applied Earth Observation and Geoinformation (JAG), 73, 313-322. Ghasemi, N., Tolpekin, V. A. & Stein, A.https://doi.org/10.1016/j.jag.2018.06.022Bootstrap testing for first-order stationarity on irregular windows in spatial point patterns (2018)Spatial statistics, 28, 194-215. Kraamwinkel, C., Fabris-rotelli, I. & Stein, A.https://doi.org/10.1016/j.spasta.2018.08.002Editorial to the Lancaster 2017: One World—One Health Special Issue (2018)Spatial statistics, 28, 1-3. Atkinson, P. M. & Stein, A.https://doi.org/10.1016/j.spasta.2018.08.009Inhomogeneous spatial modelling of DPT pulses for marine images (2018)Spatial statistics, 28, 257-270. Fabris-rotelli, I. & Stein, A.https://doi.org/10.1016/j.spasta.2018.08.004Onbemande luchtvaartuigen om sloppenwijken in kaart te brengen: theoretische ontwikkelingen en praktische toepassingen (2018)Geo-info, 6, 42-43. Gevaert, C. M., Vosselman, G., Persello, C. & Sliuzas, R. V.Preface: The use of remotely piloted aircraft systems (RPAS) in monitoring applications and management of natural hazards (2018)Natural hazards and earth system sciences, 18(11), 3085-3087. Giordan, D., Hayakawa, Y., Nex, F. C. & Tarolli, P.https://doi.org/10.5194/nhess-18-3085-2018Space Subdivision of Indoor Mobile Laser Scanning Data Based on the Scanner Trajectory (2018)Remote sensing, 10(11), 1-26. Article 1815. Elseicy, A., Nikoohemat, S., Peter, M. S. & Oude Elberink, S. J.https://doi.org/10.3390/rs10111815Semantic Interpretation of Mobile Laser Scanner Point Clouds in Indoor Scenes Using Trajectories (2018)Remote sensing, 10(11), 1-23. Article 1754. Nikoohemat, S., Peter, M. S., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.3390/rs10111754FCM Approach of Similarity and Dissimilarity Measures with α-Cut for Handling Mixed Pixels (2018)Remote sensing, 10(11), 1-24. Article 1707. Mukhopadhyay, S., Kumar, A. & Stein, A.https://doi.org/10.3390/rs10111707Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks (2018)Remote sensing, 10(11), 1-27. Article 1723. Rizaldy, A., Persello, C., Gevaert, C. M., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.3390/rs10111723Recurrent Multiresolution Convolutional Networks for VHR Image Classification (2018)IEEE transactions on geoscience and remote sensing, 56(11), 6361-6374. Article 8388225. Bergado, J. R., Persello, C. & Stein, A.https://doi.org/10.1109/TGRS.2018.2837357Spatial and temporal heterogeneities of district-level typhoid morbidities in Ghana: A requisite insight for informed public health response (2018)PLoS ONE, 13(11), 1-19. Osei, F. B., Stein, A. & Nyadanu, S. D.https://doi.org/10.1371/journal.pone.0208006Tea Garden Detection from High-Resolution Imagery Using a Scene-Based Framework (2018)Photogrammetric engineering and remote sensing, 84(11), 723-731. Huang, X., Zhu, Z., Li, Y., Wu, B. & Yang, M.https://doi.org/10.14358/PERS.84.11.723The Scope of Earth-Observation to Improve the Consistency of the SDG Slum Indicator (2018)ISPRS international journal of geo-information, 7(11). Article 428. Kuffer, M., Wang, J., Nagenborg, M., Pfeffer, K., Kohli, D., Sliuzas, R. & Persello, C.https://doi.org/10.3390/ijgi7110428Multi-Resolution Feature Fusion for Image Classification of Building Damages with Convolutional Neural Networks (2018)Remote sensing, 10(10). Article 1636. Duarte, D., Nex, F., Kerle, N. & Vosselman, G.https://doi.org/10.3390/rs10101636Estimating Tree Heights Using Multi-baseline PolInSAR Data With Compensation for Temporal Decorrelation, Case Study: AfriSAR Campaign Data (2018)IEEE Journal of selected topics in applied earth observations and remote sensing, 11(10), 3464 - 3477. Article 8477041. Ghasemi, N., Tolpekin, V. A. & Stein, A.https://doi.org/10.1109/JSTARS.2018.2869620Estimation of Canopy Height Using an Airborne Ku-Band Frequency-Modulated Continuous Waveform Profiling Radar (2018)IEEE Journal of selected topics in applied earth observations and remote sensing, 11(10), 3590-3597. Article 8462728. Zhou, H., Chen, Y., Hyyppa, J., Feng, Z., Li, F., Hakala, T., Xu, X. & Zhu, X.https://doi.org/10.1109/JSTARS.2018.2865624Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia (2018)Remote sensing, 10(10), 1-26. Article 1522. Leonita, G., Kuffer, M., Sliuzas, R. V. & Persello, C.https://doi.org/10.3390/rs10101522Classification of VHR Multispectral Images Using ExtraTrees and Maximally Stable Extremal Region-Guided Morphological Profile (2018)IEEE Journal of selected topics in applied earth observations and remote sensing, 11(9), 3179-3195. Article 8353860. Samat, A., Persello, C., Liu, S., Li, E., Miao, Z. & Abuduwaili, J.https://doi.org/10.1109/JSTARS.2018.2824354Combining the FCM Classifier with Various Kernels to Handle Non-linearity of Class Boundaries (2018)Photonirvachak = Journal of the Indian society of remote sensing, 46(9), 1519-1526. Byju, A. P., Kumar, A., Stein, A. & Kumar, A. S.https://doi.org/10.1007/s12524-018-0813-zTransferability and Upscaling of Fuzzy Classification for Shoreline Change over 30 Years (2018)Remote sensing, 10(9), 1-27. Article 1377. Dewi, R., Bijker, W., Stein, A. & Marfai, M. A.https://doi.org/10.3390/rs10091377Integrating kindergartener-specific questionnaires with citizen science to improve child health (2018)Frontiers in Public Health, 6, 1-4. Article 236. Jia, P.https://doi.org/10.3389/fpubh.2018.00236Modelling local areas of exposure to Schistosoma japonicum in a limited survey data environment (2018)Parasites & vectors, 11(1), 1-15. Article 465. Araujo Navas, A. L., Soares Magalhães, R. J., Osei, F., Fornillos, R. J. C., Leonardo, L. R. & Stein, A.https://doi.org/10.1186/s13071-018-3039-6Cascaded Deep Networks with Multiple Receptive Fields for Infrared Image Super-Resolution (2018)IEEE transactions on circuits and systems for video technology, 29(8), 2310-2322. Article 8432397. He, Z., Tang, S., Yang, J., Cao, Y., Yang, M. Y. & Cao, Y.https://doi.org/10.1109/TCSVT.2018.2864777A deep learning approach to DTM extraction from imagery using rule-based training labels (2018)ISPRS journal of photogrammetry and remote sensing, 142, 106-123. Gevaert, C. m., Persello, C., Nex, F. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2018.06.001Uncertainty in the modeling of spatial big data on a pattern of bushfires holes (2018)Natural Resource Modelling, 31(3), 1-16. Article e12180. Stein, A. & Tolpekin, V. A.https://doi.org/10.1111/nrm.12180Using UAVs for map creation and updating: a case study in Rwanda (2018)Survey review, 50(361), 312-325. Koeva, M., Muneza, M., Gevaert, C., Gerke, M. & Nex, F.https://doi.org/10.1080/00396265.2016.1268756A fully automatic approach to register mobile mapping and airborne imagery to support the correction of platform trajectories in GNSS-denied urban areas (2018)ISPRS journal of photogrammetry and remote sensing, 141, 86-99. Jende, P. L. H., Nex, F. C., Gerke, M. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2018.04.017Usability of aerial video footage for 3-D scene reconstruction and structural damage assessment (2018)Natural hazards and earth system sciences, 18, 1583-1598. Cusicanqui, J., Kerle, N. & Nex, F. C.https://doi.org/10.5194/nhess-18-1583-2018Usability of aerial video footage for 3D-scene reconstruction and structural damage assessment (2018)Natural hazards and earth system sciences, 18, 1583-1598. Cusicanqui, J., Kerle, N. & Nex, F.https://doi.org/10.5194/nhess-2017-409Space subdivision in indoor mobile laser scanning point clouds based on scanline analysis (2018)Sensors (Switzerland), 18(6), 1-20. Article 1838. Zheng, Y., Peter, M., Zhong, R., Oude Elberink, S. & Zhou, Q.https://doi.org/10.3390/s18061838Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning (2018)ISPRS journal of photogrammetry and remote sensing, 140, 45-59. Vetrivel, A., Gerke, M., Kerle, N., Nex, F. C. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2017.03.001Estimation of AOD under uncertainty: An approach for Hyperspectral Airborne data (2018)Remote sensing, 10(6), 1-30. Article 947. Bhatia, N., Tolpekin, V. A., Stein, A. & Reusen, I.https://doi.org/10.3390/rs10060947Foreword to the theme issue on geospatial computer vision (2018)ISPRS journal of photogrammetry and remote sensing, 140, 1-2. Wegner, J. D., Tuia, D., Yang, M. & Mallet, C.https://doi.org/10.1016/j.isprsjprs.2017.12.011Monetary diet cost is positively associated with diet quality and obesity: an analysis of school-aged children in Southwest China (2018)Journal of Public Health (UK), 00, 1-9. Zhang, X., Gong, Y., Jia, P., Zhang, J., Xue, H., Quan, L., Tian, G., Xiong, J., Zhang, L., Wang, Y., Zhang, L. & Cheng, G.https://doi.org/10.1093/pubmed/fdy100Polarimetry-Based Distributed Scatterer Processing Method for PSI Applications (2018)IEEE transactions on geoscience and remote sensing, 56(6), 3371-3382. Mullissa, A. G., Perissin, D., Tolpekin, V. A. & Stein, A.https://doi.org/10.1109/TGRS.2018.2798705The Tsinghua– Lancet Commission on Healthy Cities in China: unlocking the power of cities for a healthy China (2018)The Lancet, 391(10135), 2140-2184. Yang, J., Siri, J. G., Remais, J. V., Cheng, Q., Zhang, H., Chan, K. K. Y., Sun, Z., Zhao, Y., Cong, N., Li, X., Zhang, W., Bai, Y., Bi, J., Cai, W., Chan, E. Y. Y., Chen, W., Fan, W., Fu, H., He, J., … Gong, P.https://doi.org/10.1016/S0140-6736(18)30486-0Contextual classification using photometry and elevation data for damage detection after an earthquake event (2018)European Journal of Remote Sensing , 51(1), 543-557. Rupnik, E., Nex, F., Toschi, I. & Remondino, F.https://doi.org/10.1080/22797254.2018.1458584Assessment of Forest Above-Ground Biomass Estimation from PolInSAR in the Presence of Temporal Decorrelation (2018)Remote sensing, 10(6). Article 815. Ghasemi, N., Tolpekin, V. A. & Stein, A.https://doi.org/10.3390/rs10060815Geospatial Mapping of Soil Organic Carbon Using Regression Kriging and Remote Sensing (2018)Photonirvachak = Journal of the Indian society of remote sensing, 46(5), 705-716. Kumar, N., Velmurugan, A., Hamm, N. A. S. & Dadhwal, V. K.https://doi.org/10.1007/s12524-017-0738-yHigh-Resolution Remote Sensing Image Classification Using Associative Hierarchical CRF Considering Segmentation Quality (2018)IEEE geoscience and remote sensing letters, 15(5), 754-758. Yang, Y., Stein, A., Tolpekin, V. A. & Zhang, Y.https://doi.org/10.1109/LGRS.2018.2804345The comparison of canopy height profiles extracted from Ku-band profile radar waveforms and LiDAR data (2018)Remote sensing, 10(5), 1-16. Article 701. Zhou, H., Chen, Y., Feng, Z., Li, F., Hyyppä, J., Hakala, T., Karjalainen, M., Jiang, C. & Pei, L.https://doi.org/10.3390/rs10050701Effect of Climate and Land Use on the Spatio-Temporal Variability of Tick-Borne Bacteria in Europe (2018)International journal of environmental research and public health, 15(4). Article 732. Rosà, R., Andreo, V., Tagliapietra, V., Baráková, I., Arnoldi, D., Hauffe, H. C., Manica, M., Rosso, F., Blaňarová, L., Bona, M., Derdáková, M., Hamšíková, Z., Kazimírová, M., Kraljik, J., Kocianová, E., Mahríková, L., Minichová, L., Mošanský, L., Slovák, M., … Rizzoli, A.https://doi.org/10.3390/ijerph15040732A patch-based method for the evaluation of dense image matching quality (2018)International Journal of Applied Earth Observation and Geoinformation (JAG), 70, 25-34. Zhang, Z., Gerke, M., Vosselman, G. & Yang, M. Y.https://doi.org/10.1016/j.jag.2018.04.002the use of remotely piloted aircraft systems (RPASs) for natural hazards monitoring and management (2018)Natural hazards and earth system sciences, 18, 1079-1096. Giordan, D., Hayakawa, Y., Nex, F. C., Remondino, F. & Tarolli, P.https://doi.org/10.5194/nhess-18-1079-2018Mapeo del riesgo: Prioridades para prevenir el establecimiento de tamariscos invasores (2018)Ecologia Austral, 28(1), 81-92. Natale, E., Reinoso, H., Andreo, V. & Zalba, S. M.http://ojs.ecologiaaustral.com.ar/index.php/Ecologia_Austral/article/view/553Outlier Detection in Urban Air Quality Sensor Networks (2018)Water, air & soil pollution, 229(4), 1-13. Article 111. van Zoest, V. M., Stein, A. & Hoek, G.https://doi.org/10.1007/s11270-018-3756-7Pole-Like Road Furniture Detection and Decomposition in Mobile Laser Scanning Data Based on Spatial Relations (2018)Remote sensing, 10(4), 1-28. Article 531. Li, F., Oude Elberink, S. & Vosselman, G.https://doi.org/10.3390/rs10040531The edge-preservation multi-classifier relearning framework for the classification of high-resolution remotely sensed imagery (2018)ISPRS journal of photogrammetry and remote sensing, 138, 57-73. Han, X., Huang, X., Li, J., Li, Y., Yang, M. Y. & Gong, J.https://doi.org/10.1016/j.isprsjprs.2018.02.009Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models (2018)Photogrammetric engineering and remote sensing, 84(4), 203-214. Yang, M. Y., Liao, W., Cao, Y. & Rosenhahn, B.https://doi.org/10.14358/PERS.84.4.203Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects (2018)ISPRS international journal of geo-information, 7(3), 1-15. Article 91. Gevaert, C. M., Sliuzas, R. V., Persello, C. & Vosselman, G.https://doi.org/10.3390/ijgi7030091A hierarchically adaptable spatial regression model to link aggregated health data and environmental data (2018)Spatial statistics, 23, 36-51. Truong Ngoc Phuong, P. & Stein, A.https://doi.org/10.1016/j.spasta.2017.11.002Exploring UAV in Indonesian cadastral boundary data acquisition (2018)Earth science informatics, 11(1), 129-146. Ramadhani, S. A., Bennett, R. M. & Nex, F. C.https://doi.org/10.1007/s12145-017-0314-6Soil depth spatial prediction by fuzzy soil-landscape model (2018)Journal of soils and sediments, 18(3), 1041-1051. Wang, Q., Wu, B., Stein, A., Zhu, L. & Zeng, Y.https://doi.org/10.1007/s11368-017-1779-0Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China (2018)Parasites & vectors, 11(1). Article 108. Cadavid Restrepo, A. M., Yang, Y. R., McManus, D. P., Gray, D. J., Barnes, T. S., Williams, G. M., Soares Magalhães, R. J., Hamm, N. A. S. & Clements, A. C. A.https://doi.org/10.1186/s13071-018-2693-zEstimating spatiotemporal distribution of PM1 concentrations in China with satellite remote sensing, meteorology, and land use information (2018)Environmental Pollution, 233, 1086-1094. Chen, G., Knibbs, L. D., Zhang, W., Li, S., Cao, W., Guo, J., Ren, H., Wang, B., Wang, H., Williams, G., Hamm, N. A. S. & Guo, Y.https://doi.org/10.1016/j.envpol.2017.10.011Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output (2018)Geoscientific Model Development, 11(1), 83-101. Raj, R., van der Tol, C., Hamm, N. & Stein, A.https://doi.org/10.5194/gmd-11-83-2018An optimization approach to estimate and calibrate column water vapour for hyperspectral airborne data (2018)International journal of remote sensing, 39(8), 2480-2505. Bhatia, N., Stein, A., Reusen, I. & Tolpekin, V. A.https://doi.org/10.1080/01431161.2018.1425565Deep Kalman Filter: Simultaneous Multi-Sensor Integration and Modelling; A GNSS/IMU Case Study (2018)Sensors (Switzerland), 18(5). Article 1316. Hosseinyalamdary, S.https://doi.org/10.3390/s18051316Propagation of uncertainty in atmospheric parameters to hyperspectral unmixing (2018)Remote sensing of environment, 204, 472-484. Bhatia, N., Iordache, M.-D., Stein, A., Reusen, I. & Tolpekin, V. A.https://doi.org/10.1016/j.rse.2017.10.008Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis (2018)Remote sensing of environment, 204, 509-523. Belgiu, M. & Csillik, O.https://doi.org/10.1016/j.rse.2017.10.005Spatial modeling of drought events using max-stable processes (2018)Stochastic environmental research and risk assessment, 32(1), 63-81. Oesting, M. & Stein, A.https://doi.org/10.1007/s00477-017-1406-z
Chapter
Snow and cloud discrimination using convolutional neural networks (2018)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS TC V Mid-term Symposium “Geospatial Technology – Pixel to People” (pp. 59-63) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Varshney, D., Gupta, P. K., Persello, C. & Nikam, B. R.https://doi.org/10.5194/isprs-annals-IV-5-59-2018Fully Convolutional Networks for Multi-temporal SAR Image Classification (2018)In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 6635-3338). Article 8518780. IEEE. Mullissa, A. G., Persello, C. & Tolpekin, V. A.https://doi.org/10.1109/IGARSS.2018.8518780Identifying favorable spatio-temporal conditions for West Nile virus outbreaks by co-clustering of modis LST idences time series (2018)In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 4670-4673). IEEE. Andreo, V., Izquierdo-Verdiguier, E., Zurita-Milla, R., Rosà, R., Rizzoli, A. & Papa, A.https://doi.org/10.1109/IGARSS.2018.8519542Object Recognition from very few Training Examples for Enhancing Bicycle Maps (2018)In 2018 IEEE Intelligent Vehicles Symposium (IV) (pp. 860-867) (IEEE Intelligent Vehicles Symposium, Proceedings; Vol. 2018-June). IEEE. Reinders, C., Ackermann, H., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1109/IVS.2018.8500469Deep Learning for Vehicle Detection in Aerial Images (2018)In 2018 25th IEEE International Conference on Image Processing (ICIP): 7-10 October 2018, Athens, Greece (pp. 3079-3083). IEEE. Yang, M. Y., Liao, W., Li, X. & Rosenhahn, B.https://doi.org/10.1109/ICIP.2018.8451454An Evaluation Pipeline For Indoor Laser Scanning Point Clouds (2018)In ISPRS TC I Mid-term Symposium Innovative Sensing – From Sensors to Methods and Applications (Volume IV-1) 10–12 October 2018, Karlsruhe, Germany (pp. 85-92) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. IV-1). International Society for Photogrammetry and Remote Sensing (ISPRS). Karam, S., Peter, M., Hosseinyalamdary, S. & Vosselman, G.https://doi.org/10.5194/isprs-annals-IV-1-85-2018Fully Convolutional Networks for Ground Classification from LiDAR Point Clouds (2018)In 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy (pp. 231-238) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. IV-2). International Society for Photogrammetry and Remote Sensing (ISPRS). Rizaldi, A., Persello, C., Gevaert, C. M. & Oude Elberink, S. J.https://doi.org/10.5194/isprs-annals-IV-2-231-2018Interactive Cadastral Boundary Delineation from UAV Data (2018)In ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy (pp. 81-88) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Crommelinck, S., Höfle, B., Koeva, M. N., Yang, M. Y. & Vosselman, G.https://doi.org/10.5194/isprs-annals-IV-2-81-2018Pole-Like Road Furniture Detection In Sparse And Unevenly Distributed Mobile Laser Scanning Data (2018)In 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy. (pp. 185-192) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;; Vol. IV-2). International Society for Photogrammetry and Remote Sensing (ISPRS). Li, F., Lehtomäki, M., Oude Elberink, S. J., Vosselman, G., Puttonen, E., Kukko, A. & Hyyppä, J.https://doi.org/10.5194/isprs-annals-IV-2-185-2018Satellite Image Classification Of Building Damages Using Airborne And Satellite Image Samples In A Deep Learning Approach (2018)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020” (pp. 89-96). International Society for Photogrammetry and Remote Sensing (ISPRS). Duarte, D., Nex, F. C., Kerle, N. & Vosselman, G.https://doi.org/10.5194/isprs-annals-IV-2-89-2018Semantic Building Façade Segmentation From Airborne Oblique Images (2018)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 209-216). Article 31540640. International Society for Photogrammetry and Remote Sensing (ISPRS). Lin, Y., Nex, F. C. & Yang, M. Y.https://doi.org/10.5194/isprs-annals-IV-2-209-2018Training In Innovative Technologies For Close-Range Sensing In Alpine Terrain (2018)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 239-246). Rutzinger, M., Bremer, M., Höfle, B., Hämmerle, M., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Scaioni, M., Wujanz, D. & Zieher, T.https://doi.org/10.5194/isprs-annals-IV-2-239-2018Its4land - Challenges and Opportunities in Developing Innovative Geospatial Tools for Fit-For-Purpose Land Rights Mapping (2018)In FIG Congress 2018: Embracing our smart world where the continents connect: enhancing the geospatial maturity of societies, Istanbul, Turkey, May 6-11, 2018 (pp. 1-17). Article 9425. International Federation of Surveyors (FIG). Koeva, M. N., Crommelinck, S., Stöcker, C. & Crompvoets, J.http://www.fig.net/resources/proceedings/fig_proceedings/fig2018/papers/ts09g/TS09G_koeva_crommelinck_9425.pdfDesafios na luta pela promoção da equidade e universalização do saneamento básico em comunidades quilombolas (2018)In Vulnerabilidades & Saúde: grupos em cena por visibilidade no espaço urbano (pp. 169). Hucited. Mingoti Poague, K. I. H. & de Pádua, V. L.Detection of Cars in Mobile Lidar Point Clouds (2018)In 2018 3rd International Conference on Intelligent Transportation Engineering (pp. 259-263). Article 8492695. IEEE. Li, G., Fang, X., Khoshelham, K. & Oude Elberink, S. J.https://doi.org/10.1109/ICITE.2018.8492695Potential of multi-temporal Sentinel-1A Dual polarization SAR images for vegetable classification in Indonesia (2018)In IGARSS 2018 : IEEE International Geoscience and Remote Sensing Symposium : Observing, Understanding and Forecasting the Dynamics of Our Planet (pp. 3828-3831). IEEE. Li, M. & Bijker, W.
Conference article
Copula-based interpolation methods for air temperature data using collocated covariates (2018)Spatial statistics, 28, 128-140. Alidoost, F., Stein, A. & Su, Z.https://doi.org/10.1016/j.spasta.2018.08.003
Conference contribution
FuseNet: End-to-end multispectral VHR image fusion and classification (2018)In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 2091-2094). Article 8519214. IEEE. Bergado, J. R., Persello, C. & Stein, A.https://doi.org/10.1109/IGARSS.2018.8519214Performance assessment metrics for line-infrastructure monitoring with multi-sensor SAR data (2018)In 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings (pp. 4423-4426). Article 8518364 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2018). IEEE. Chang, L., Dollevoet, R. P. B. J. & Hanssen, R. F.https://doi.org/10.1109/IGARSS.2018.8518364An Automatic Procedure For Mobile Laser Scanning Platform 6DOF Trajectory Adjustment (2018)In 2018 ISPRS TC I Mid-term Symposium “Innovative Sensing – From Sensors to Methods and Applications”, 10–12 October 2018, Karlsruhe, Germany (pp. 203-209) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. Volume XLII-1). International Society for Photogrammetry and Remote Sensing (ISPRS). Hussnain, S. Z., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLII-1-203-2018An evaluation framework for benchmarking indoor modelling methods (2018)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change” (pp. 365-372) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Khoshelham, K., Tran, H., Díaz-Vilariño, L., Peter, M., Kang, Z. & Acharya, D.https://doi.org/10.5194/isprs-archives-XLII-4-297-2018Change Detection From Point Clouds To Support Indoor 3d Cadastre (2018)In ISPRS TC IV Mid-term Symposium “3D Spatial Information Science – The Engine of Change”, 1–5 October 2018, Delft, The Netherlands (pp. 451-457) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. Volume XLII-1). International Society for Photogrammetry and Remote Sensing (ISPRS). Nikoohemat, S., Koeva, M. N., Oude Elberink, S. J. & Lemmen, C. H. J.https://doi.org/10.5194/isprs-archives-XLII-4-451-2018Context-Based Filtering of Noisy Labels for Automatic Basemap Updating From UAV Data (2018)In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (pp. 1-11) (IEEE Journal of selected topics in applied earth observations and remote sensing). Gevaert, C. M., Persello, C., Oude Elberink, S. J., Vosselman, G. & Sliuzas, R. V.https://doi.org/10.1109/JSTARS.2017.2762905Multi-Temporal Classification And Change Detection Using UAV Images (2018)In 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy (pp. 651-658) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. XLII-2). International Society for Photogrammetry and Remote Sensing (ISPRS). Makuti, S., Nex, F. C. & Yang, M. Y.https://doi.org/10.5194/isprs-archives-XLII-2-651-2018A Guided Registration Strategy Employing Virtual Planes To Overcome Non-Standard Geometries – Using The Example Of Mobile Mapping And Aerial Oblique Imagery (2018)In 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy (pp. 471-477) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. XLII-2). International Society for Photogrammetry and Remote Sensing (ISPRS). Jende, P. L. H., Nex, F. C., Gerke, M. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLII-2-471-2018Filtering Photogrammetric Point Clouds Using Standard Lidar Filters Towards DTM Generation (2018)In ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 4–7 June 2018, Riva del Garda, Italy : ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 319-326) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. IV-2). International Society for Photogrammetry and Remote Sensing (ISPRS). Zhang, Z., Gerke, M., Vosselman, G. & Yang, M. Y.https://doi.org/10.5194/isprs-annals-IV-2-319-2018UAV für das Kadaster - das EU-Projekt its4land (2018)In UAV 2018 – Vermessung mit unbemannten Flugsystemen: Beiträge zum 169. DVW-Seminar (pp. 105). Article 116 (DVW Schriftenreihe; Vol. 89). Deutsche Gesellschaft fur Geodesie, Geoinformation, und Landmanagement . Gerke, M., Stöcker, C., Crommelinck, S. & Koeva, M. N.http://geodaesie.info/sr/uav-2018-vermessung-mit-unbemannten-flugsystemen/7110/1950Fostering pre-university student participation in OSGeo through the Google Code-in competition (2018)In FOSS4G 2018: 29–31 August 2018, Dar es Salaam, Tanzania (pp. 175-180) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences; Vol. XLII-4/W8). International Society for Photogrammetry and Remote Sensing (ISPRS). Rautenbach, V., Di Leo, M., Andreo, V., Delucchi, L., Kudrnovsky, H., McKenna, J. & Acosta y Lara, S.https://doi.org/10.5194/isprs-archives-XLII-4-W8-175-2018The Reviewing Process for ISPRS Events (2018)In ISPRS Annals of Photogrammetry, Remote Sensing, and Spatial Information Sciences (pp. 53-58). International Society for Photogrammetry and Remote Sensing (ISPRS). Mallet, C., Dowman, I., Vosselman, G., Stilla, U., Halounova, L. & Paparoditis, N.https://doi.org/10.5194/isprs-annals-IV-5-53-2018
Dataset
Multitemporal image analysis for monitoring fuzzy shorelines (2018)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Dewi, R.https://doi.org/10.17026/dans-x68-s6qvModelling local areas of exposure to Schistosoma japonicum in a limited survey data environment (2018)[Dataset Types › Dataset]. University of the Philippines at Manila. Araujo Navas, A. L. & Leonardo, L. R.https://doi.org/10.17026/dans-x57-8g5rUAV imagery over the settlement of Agatare in Kigali, Rwanda (2018)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Gevaert, C.https://doi.org/10.17026/dans-xuv-cr3uCopula-based interpolation methods for air temperature data using collocated covariates (2018)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Stein, A.https://doi.org/10.17026/dans-xtq-6wj4Uncertainty Propagation of Atmospheric Correction Parameters (2018)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Bhatia, N.https://doi.org/10.17026/dans-xjk-5satQuality aspects of distributed scatterers in polarimetric differential SAR interferometry (2018)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Mullissa, A.https://doi.org/10.17026/dans-x4j-38n2A hierarchically adaptable spatial regression model to link aggregated health data and environmental data (2018)[Dataset Types › Dataset]. Da Nang Preventive Medicine Center. Stein, A. & Truong, P. N.https://doi.org/10.17026/dans-x3z-6queMonthly MODIS LST data related to the article: A new fully gap-free time series of land surface temperature from MODIS LST data (2018)[Dataset Types › Dataset]. Zenodo. Metz, M., Andreo, V. & Neteler, M.https://doi.org/10.5281/zenodo.1135230
Editorial
Introduction to the special issue "uncertainty in remote sensing image analysis" (2018)Remote sensing, 10(12). Article 1975. Stein, A., Ge, Y. & Fabris-Rotelli, I.https://doi.org/10.3390/rs10121975Best of "ISPRS Hannover Workshop 2017" (2018)Photogrammetric engineering and remote sensing, 84(5), 247-248. Heipke, C., Jacobsen, K., Rottensteiner, F., Stilla, U., Yang, M. Y., Skaloud, J., Colomina, I. & Cramer, M.https://doi.org/10.14358/PERS.84.5.247Indoor tracking, mapping, and navigation: algorithms, technologies, and applications (2018)Journal of Sensors, 2018, 1-3. Article 5971752. Chow, J. C. K., Peter, M., Scaioni, M. & Al-Durgham, M.https://doi.org/10.1155/2018/5971752
Other
Nonlinear area-to-point regression kriging for spatial-temporal mapping of malaria risk (2018)[Contribution to conference › Other] 28th Annual Conference of the International Environmetrics Society . Truong, P.
Paper
Urban tree species classification on pixel and object level with worldview-2 image, using maximum likelihood classifier and support vector machine (2018)[Contribution to conference › Paper] RCMRD Second Annual International Conference, RIC 2018. Chepkochei, L. C., Bijker, W. & Tolpekin, V. A.
PhD Thesis - Research UT, graduation UT
Automatic information extraction from remote sensing images and 3D point clouds for building damage assessment (2018)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Vetrivel, A.https://doi.org/10.3990/1.9789036545075Multitemporal image analysis for monitoring fuzzy shorelines (2018)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Dewi, R. S.https://doi.org/10.3990/1.9789036546331Scaling of Remote Sensing Information for Orchard Management (2018)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Mahour, M.https://doi.org/10.3990/1.9789036546898Uncertainty Propagation of Atmospheric Correction Parameters (2018)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Bhatia, N.https://doi.org/10.3990/1.9789036542371Unmanned aerial vehicle mapping for settlement upgrading (2018)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Gevaert, C. M.https://doi.org/10.3990/1.9789036546355
Report
Monitoring aardgaswinning onder de Waddenzee vanaf de locaties Moddergat, Lauwersoog en Vierhuizen: Advies Auditcommissie over de resultaten van het monitoringsjaar 2017 (2018)[Book/Report › Report]. Commissie voor de Millieueffectrapportage (MER). Hack, R., de Boer, P., van Dalsen, J., Essink, K., Freriks, A., De Graeff, J. J., Harkema, S., Hoekstra, P., Stein, A. & van der Winden, J.https://www.commissiemer.nl/adviezen/3291
Special issue
Special Issue Foreword Remote Sensing of Urban Environment (I) (2018)Photogrammetric engineering and remote sensing, 84(11), 679-679. Huang, X., Yang, M. Y. & Qin, R.https://doi.org/10.14358/PERS.84.11.679
Working paper
Poisson-gamma mixture spatially varying coefficient modeling of small-area intestinal parasites infection (2018)[Working paper › Working paper]. Preprints. Osei, F., Stein, A. & Ofosu, A.https://doi.org/10.20944/preprints201811.0348.v1The UAVid Dataset for Video Semantic Segmentation (2018)[Working paper › Working paper]. ArXiv.org. Lyu, Y., Vosselman, G., Xia, G., Yilmaz, A. & Yang, M. Y.https://arxiv.org/abs/1810.10438
2017
Abstract
Semantic labelling of pole-like street furniture in mobile laser scanning data : abstract (2017)[Contribution to conference › Abstract] Annual Symposium of the Netherlands Centre for Geodesy and Geo-Informatics (NCG) 2017. Li, F.https://www.ncgeo.nl/index.php?option=com_k2&view=item&id=2749:final-programme-of-the-ncg-symposium-2017&Itemid=393&lang=enTowards UAV-based Land Tenure Data Acquisition (2017)[Contribution to conference › Abstract] Annual Symposium of the Netherlands Centre for Geodesy and Geo-Informatics (NCG) 2017. Stöcker, C., Nex, F. C., Koeva, M. N., Bennett, R. M. & Zevenbergen, J. A.
Article
A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data (2017)Remote sensing, 9(12). Article 1333. Metz, M., Andreo, V. & Neteler, M.https://doi.org/10.3390/rs9121333A WTLS-based rational function model for orthorectification of remote-sensing imagery (2017)International journal of remote sensing, 38(23), 7281-7301. Ge, Y., Wei, Y., Song, Y., Wu, T., Stein, A., Guo, X., Zhou, C. & Ma, J.https://doi.org/10.1080/01431161.2017.1372860A GIS-based multi-criteria seismic vulnerability assessment using the integration of granular computing rule extraction and artificial neural networks (2017)Transactions in GIS, 21(6), 1237-1259. Sheikhian, H., Delavar, M. R. & Stein, A.https://doi.org/10.1111/tgis.12274Diarrhea Morbidities in Small Areas: Accounting for Non-Stationarity in Sociodemographic Impacts using Bayesian Spatially Varying Coefficient Modelling (2017)Scientific reports, 7(1). Article 9908. Osei, F. B. & Stein, A.https://doi.org/10.1038/s41598-017-10017-6Improving FOSS photogrammetric workflows for processing large image datasets (2017)Open Geospatial Data, Software and Standards, 2. Article 12. Martinez-rubi, O., Nex, F., Pierrot-deseilligny, M. & Rupnik, E.https://doi.org/10.1186/s40965-017-0024-5Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control (2017)Scientific reports, 7. Article 9093. Cuadros, D. F., Li, J., Branscum, A. J., Akullian, A., Jia, P., Mziray, E. N. & Tanser, F.https://doi.org/10.1038/s41598-017-09464-yScattering property based contextual PolSAR speckle filter (2017)International Journal of Applied Earth Observation and Geoinformation (JAG), 63, 78-89. Mullissa, A. G., Tolpekin, V. & Stein, A.https://doi.org/10.1016/j.jag.2017.07.011Spatio-temporal analysis of small-area intestinal parasites infections in Ghana (2017)Scientific reports, 7(1). Article 12217. Osei, F. B. & Stein, A.https://doi.org/10.1038/s41598-017-12397-1Land cover change during a period of extensive landscape restoration in Ningxia Hui Autonomous Region, China (2017)Science of the total environment, 598, 669-679. Cadavid Restrepo, A. M., Yang, Y. R., Hamm, N. A. S., Gray, D. J., Barnes, T. S., Williams, G. M., Soares Magalhães, R. J., McManus, D. P., Guo, D. & Clements, A. C. A.https://doi.org/10.1016/j.scitotenv.2017.04.124Incorporating Open Source Data for Bayesian Classification of Urban Land Use From VHR Stereo Images (2017)IEEE Journal of selected topics in applied earth observations and remote sensing, 10(11), 4930-4943. Li, M., De Beurs, K. M., Stein, A. & Bijker, W.https://doi.org/10.1109/JSTARS.2017.2737702Review article: The use of remotely piloted aircraft systems (RPAS) for natural hazards monitoring and management (2017)Natural hazards and earth systems sciences discussions, 1-26. Giordan, D., Hayakawa, Y., Nex, F., Remondino, F. & Tarolli, P.https://doi.org/10.5194/nhess-2017-339Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks (2017)Remote sensing, 9(11). Article 1106. Mboga, N., Persello, C., Bergado, J. R. & Stein, A.https://doi.org/10.3390/rs9111106Ensemble classification for identifying neighbourhood sources of fugitive dust and associations with observed PM 10 (2017)Atmospheric environment, 166, 151-165. Khuluse-Makhanya, S., Stein, A., Breytenbach, A., Gxumisa, A., Dudeni-tlhone, N. & Debba, P.https://doi.org/10.1016/j.atmosenv.2017.07.017Opioid tapering in patients with prescription opioid use disorder: A retrospective study (2017)Scandinavian Journal of Pain, 17, 167-173. Zhou, K., Jia, P., Bhargava, S., Zhang, Y., Reza, T., Peng, Y. B. & Wang, G. G.https://doi.org/10.1016/j.sjpain.2017.09.005Spatially Adaptive Column Fixed-Pattern Noise Correction in Infrared Imaging System Using 1D Horizontal Differential Statistics (2017)IEEE photonics journal, 9(5), 1-13. Cao, Y., He, Z., Yang, J., Cao, Y. & Yang, M. Y.https://doi.org/10.1109/JPHOT.2017.2752000On support relations and semantic scene graphs (2017)ISPRS journal of photogrammetry and remote sensing, 131, 15-25. Yang, M. Y., Liao, W., Ackermann, H. & Rosenhahn, B.https://doi.org/10.1016/j.isprsjprs.2017.07.010Probabilistic tsunami hazard assessment from incomplete and uncertain historical catalogues with application to tsunamigenic regions in the Pacific Ocean. (2017)Pure and Applied Geophysics, 174(8), 3065-3081. Smit, A., Kijko, A. & Stein, A.https://doi.org/10.1007/s00024-017-1564-4Spatial variation and hot-spots of district level diarrhea incidences in Ghana: 2010-2014 (2017)BMC public health, 17(1). Article 617. Osei, F. B. & Stein, A.https://doi.org/10.1186/s12889-017-4541-zPocket money, eating behaviors, and weight status among Chinese children: The Childhood Obesity Study in China mega-cities (2017)Preventive medicine, 100, 208-215. Li, M., Xue, H., Jia, P., Zhao, Y., Wang, Z., Xu, F. & Wang, Y.https://doi.org/10.1016/j.ypmed.2017.04.031Contextual segment-based classification of airborne laser scanner data (2017)ISPRS journal of photogrammetry and remote sensing, 128, 354-371. Vosselman, G., Coenen, M. & Rottensteiner, F.https://doi.org/10.1016/j.isprsjprs.2017.03.010Use of unmanned aerial vehicles in monitoring application and management of natural hazards (2017)Geomatics, Natural Hazards and Risk, 8(1), 1-4. Giordan, D., Manconi, A., Remondino, F. & Nex, F.https://doi.org/10.1080/19475705.2017.1315619Review of the current state of UAV regulations (2017)Remote sensing, 9(5). Article 459. Stöcker, E. C., Bennett, R., Nex, F., Gerke, M. & Zevenbergen, J. A.https://doi.org/10.3390/rs9050459School environment and policies, child eating behavior and overweight/obesity in urban China: The childhood obesity study in China megacities (2017)International journal of obesity, 41(5), 813-819. Jia, P., Li, M., Xue, H., Lu, L., Xu, F. & Wang, Y.https://doi.org/10.1038/ijo.2017.2A Bayesian approach to traffic light detection and mapping (2017)ISPRS journal of photogrammetry and remote sensing, 125, 184-192. Hosseinyalamdary, S. & Yilmaz, A.https://doi.org/10.1016/j.isprsjprs.2017.01.008The geography of imported malaria to non-endemic countries: a meta-analysis of nationally reported statistics (2017)The Lancet infectious diseases, 17(1), 98-107. Tatem, A. J., Jia, P., Ordanovich, D., Falkner, M., Huang, Z., Howes, R., Hay, S. I., Gething, P. W. & Smith, D. L.https://doi.org/10.1016/S1473-3099(16)30326-7A comparison of two downscaling procedures to increase the spatial resolution of mapping actual evapotranspiration (2017)ISPRS journal of photogrammetry and remote sensing, 126, 56-67. Mahour, M., Tolpekin, V., Stein, A. & Sharifi, A.https://doi.org/10.1016/j.isprsjprs.2017.02.004A Remote Sensing Data Based Artificial Neural Network Approach for Predicting Climate-Sensitive Infectious Disease Outbreaks: A Case Study of Human Brucellosis (2017)Remote sensing, 9(10), 1018. Wang, J., Jia, P., Cuadros, D. F., Xu, M., Wang, X., Guo, W., Portnov, B. A., Bao, Y., Chang, Y., Song, G., Chen, N. & Stein, A.https://doi.org/10.3390/rs9101018A Workflow for Automated Satellite Image Processing: from Raw VHSR Data to Object-Based Spectral Information for Smallholder Agriculture (2017)Remote sensing, 9(10). Article 1048. Stratoulias, D., Tolpekin, V., De By, R., Zurita-milla, R., Retsios, V., Bijker, W., Hasan, M. & Vermote, E.https://doi.org/10.3390/rs9101048An Algorithm for Inter-calibration of Time-Series DMSP/OLS Night-Time Light Images (2017)Proceedings of the National Academy of Sciences India Section A - Physical Sciences. Mukherjee, S., Srivastav, S. K., Gupta, P. K., Hamm, N. A. S. & Tolpekin, V. A.https://doi.org/10.1007/s40010-017-0444-8Applications of geographic information systems (GIS) data and methods in obesity-related research (2017)Obesity reviews, 18(4), 400-411. Jia, P., Cheng, X., Xue, H. & Wang, Y.https://doi.org/10.1111/obr.12495Architecture and prototypical implementation of a semantic querying system for big Earth observation image bases (2017)European Journal of Remote Sensing , 50(1), 452-463. Tiede, D., Baraldi, A., Sudmanns, M., Belgiu, M. & Lang, S.https://doi.org/10.1080/22797254.2017.1357432Car ownership and urban development in Chinese cities: a panel data analysis (2017)Journal of transport geography, 58, 127-134. Yang, Z., Jia, P., Liu, W. & Yin, H.https://doi.org/10.1016/j.jtrangeo.2016.11.015Change vector analysis to monitor the changes in fuzzy shorelines (2017)Remote sensing, 9(2). Article 147. Dewi, R. S., Bijker, W. & Stein, A.https://doi.org/10.3390/rs9020147Comparing Fuzzy Sets and Random Sets to Model the Uncertainty of Fuzzy Shorelines (2017)Remote sensing, 9(9). Article 885. Dewi, R. S., Bijker, W. & Stein, A.https://doi.org/10.3390/rs9090885Contour detection for UAV-based cadastral mapping (2017)Remote sensing, 9(2), 1-13. Article 171. Crommelinck, S. C., Bennett, R. H., Gerke, M., Yang, Y. & Vosselman, G.https://doi.org/10.3390/rs9020171Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images (2017)IEEE geoscience and remote sensing letters, 14(12), 2325-2329. Persello, C. & Stein, A.https://doi.org/10.1109/LGRS.2017.2763738Delineating hierarchical hospital service areas in Florida (2017)Geographical review, 107(4), 608-623. Jia, P., Wang, F. & Xierali, I. M.https://doi.org/10.1111/j.1931-0846.2016.12207.xGlobal robust image rotation from combined weighted averaging (2017)ISPRS journal of photogrammetry and remote sensing, 127, 89-101. Reich, M., Ying Yang, M. & Heipke, C.https://doi.org/10.1016/j.isprsjprs.2017.01.011Informal settlement classification using point-cloud and image-based features from UAV data (2017)ISPRS journal of photogrammetry and remote sensing, 125, 225-236. Gevaert, C. M., Persello, C., Sliuzas, R. V. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2017.01.017Integrating spherical panoramas and maps for visualization of cultural heritage objects using virtual reality technology (2017)Sensors (Switzerland), 17(4). Article 829. Koeva, M. N., Luleva, M. I. & Maldjanski, P.https://doi.org/10.3390/s17040829Motion Segmentation Using Global and Local Sparse Subspace Optimization (2017)Photogrammetric engineering and remote sensing, 83(11), 769-778. Yang, M. Y., Ackermann, H., Lin, W., Feng, S. & Rosenhahn, B.https://doi.org/10.14358/PERS.83.10.769Polarimetric differential SAR interferometry in an arid natural environment (2017)International Journal of Applied Earth Observation and Geoinformation (JAG), 59, 9-18. Mullissa, A., Tolpekin, V., Stein, A. & Perissin, D.https://doi.org/10.1016/j.jag.2017.02.019Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: Impact of the national neglected tropical disease control programme (2017)Geospatial health, 12(1). Article 514. Nyandwi, E., Veldkamp, T., Osei, F. B. & Amer, S.https://doi.org/10.4081/gh.2017.514Supervised and Semi-Supervised Multi-View Canonical Correlation Analysis Ensemble for Heterogeneous Domain Adaptation in Remote Sensing Image Classification (2017)Remote sensing, 9(4). Article 337. Samat, A., Persello, C., Gamba, P., Liu, S., Abuduwaili, J. & Li, E.https://doi.org/10.3390/rs9040337Time Trend and Demographic and Geographic Disparities in Childhood Obesity Prevalence in China - Evidence from Twenty Years of Longitudinal Data (2017)International journal of environmental research and public health, 14(4). Article 369. Jia, P., Xue, H., Zhang, J. & Wang, Y.https://doi.org/10.3390/ijerph14040369Using a Huff-based model te delineate hospital service areas (2017)The professional geographer, 69(4), 522-530. Jia, P., Wang, F. & Xierali, I. M.https://doi.org/10.1080/00330124.2016.1266950
Book editing
Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany (2017)[Book/Report › Book editing]. International Society for Photogrammetry and Remote Sensing (ISPRS). Heipke, C., Jacobsen, K., Stilla, U., Rottensteiner, F., Yilmaz, A. & Yang, M. Y.http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1-W1/index.html
Chapter
Object-based image analysis for cadastral mapping using satellite images (2017)In Image and Signal Processing for Remote Sensing XXIII (pp. 33). Article 104270V (SPIE Proceedings Series; Vol. 10427). SPIE. Kohli, D., Crommelinck, S., Bennett, R., Koeva, M., Lemmen, C., Bruzzone, L., Bovolo, F. & Benediktsson, J. A.https://doi.org/10.1117/12.2280254Triplet-Based Deep Similarity Learning for Person Re-Identification (2017)In IEEE International Conference on Computer Vision Workshop (ICCVW), 2017 : 22-29 October 2017, Venice, Italy (pp. 385-393). IEEE. Liao, W., Yang, M. Y., Zhan, N. & Rosenhahn, B.https://doi.org/10.1109/ICCVW.2017.52SLIC superpixels for object delineation UAV data (2017)In Proceedings of International Conference on Unmanned Aerial Vehicles in Geomatics, 4-7 September 2017, Bonn, Germany. Peer reviewed Annals, Volume IV-2/W3, 201 (pp. 9-16) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Crommelinck, S. C., Bennett, R. M., Gerke, M., Koeva, M. N., Yang, M. Y. & Vosselman, G.https://doi.org/10.5194/isprs-annals-IV-2-W3-9-2017Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection (2017)In Pattern recognition : Proceedings of the 39th German Conference, GCPR 2017, Basel, Switzerland, 12-15 September, 2017 (pp. 17-28). Article Chapter 2 (Lecture Notes in Computer Science; Vol. 10496). Springer. Kluger, F., Ackermann, H., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1007/978-3-319-66709-6_2Classification of multitemporal SAR images using convolutional neural networks and Markov random fields (2017)In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 23-28 Jly 2017, Fort Worth Texas, USA (pp. 2231-2234). IEEE. Danilla, C., Persello, C., Tolpekin, V. & Bergado, J. R.https://doi.org/10.1109/IGARSS.2017.8127432Detection of informal settlements from VHR satellite images using convolutional neural networks (2017)In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): 23-28 July 2017, Fort Worth Texas, USA (pp. 5169-5172). IEEE. Mboga, N., Persello, C., Bergado, J. R. & Stein, A.https://doi.org/10.1109/IGARSS.2017.8128166An automated technique for basemap updating using UAV data (2017)In Proceedings of Joint urban remote sensing event (JURSE) 2017, 6-8 March 2017, Dubai, United Arab Emirates (pp. 1-4). IEEE. Gevaert, C. M., Persello, C., Oude Elberink, S. J., Vosselman, G. & Sliuzas, R. V.Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation (2017)In Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 4620-4627). IEEE. Hosseini, O., Groth, O., Kirillov, A., Yang, M. Y. & Rother, C.https://doi.org/10.1109/ICRA.2017.7989537Dense matching quality evaluation : an empirical study (2017)In Proceedings of Joint urban remote sensing event (JURSE) 2017, 6-8 March 2017, Dubai, United Arab Emirates (pp. 1-4). IEEE. Zhang, Z., Gerke, M., Peter, M. S., Yang, M. Y. & Vosselman, G.Exploiting indoor mobile laser scanner trajectories for semantic interpretation of point clouds (2017)In Proceedings ISPRS Geospatial Week 2017, 18-22 September 2017, Wuhan, China (pp. 355-362) (ISPRS Annals; Vol. IV-2/W4). International Society for Photogrammetry and Remote Sensing (ISPRS). Nikoohemat, S., Peter, M., Oude Elberink, S. & Vosselman, G.https://doi.org/10.5194/isprs-annals-IV-2-W4-355-2017Line Segmentation Of 2d Laser Scanner Point Clouds For Indoor Slam Based On A Range Of Residuals (2017)In Proceedings ISPRS Geospatial Week 2017, 18-22 September 2017, Wuhan, China (pp. 363-369) (ISPRS Annals; Vol. Volume IV-2/W4). International Society for Photogrammetry and Remote Sensing (ISPRS). Peter, M., Jafri, S. R. U. N. & Vosselman, G.https://doi.org/10.5194/isprs-annals-IV-2-W4-363-2017Security event recognition for visual surveillance (2017)In Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany. Peer reviewed Annals, Volume IV-1/W1, 2017 : I (pp. 19-26) (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Liao, W., Yang, C., Yang, M. & Rosenhahn, B.https://doi.org/10.5194/isprs-annals-IV-1-W1-19-2017Vehicle Recognition In Aerial Lidar Point Cloud Based On Dynamic Time Warping (2017)In Proceedings ISPRS Geospatial Week 2017, 18-22 September 2017, Wuhan, China (pp. 193-198) (ISPRS Annals; Vol. IV-2/W4). International Society for Photogrammetry and Remote Sensing (ISPRS). Zhang, T., Vosselman, G. & Oude Elberink, S. J.https://doi.org/10.5194/isprs-annals-IV-2-W4-193-2017Wheat ear detection in plots by segmenting mobile laser scanner data (2017)In Proceedings ISPRS Geospatial Week 2017, 18-22 September 2017, Wuhan, China (pp. 149-156) (ISPRS Annals; Vol. IV-2/W4). International Society for Photogrammetry and Remote Sensing (ISPRS). Velumani, K., Oude Elberink, S., Yang, M. Y. & Baret, F.https://doi.org/10.5194/isprs-annals-IV-2-W4-149-2017
Comment/Letter to the editor
Using remote sensing technology to measure environmental determinants of non-communicable diseases (2017)International journal of epidemiology, 46(4), 1343-1344. Jia, P. & Stein, A.https://doi.org/10.1093/ije/dyw365
Conference article
Object-based classification of terrestrial laser scanning point clouds for landslide monitoring (2017)Photogrammetric record, 32(160), 377-397. Mayr, A., Rutzinger, M., Bremer, M., Oude Elberink, S. J., Stumpf, F. & Geitner, C.https://doi.org/10.1111/phor.2017.32.issue-160
Conference contribution
Can reconstructed land surface temperature data from space predict a West Nile Virus outbreak? (2017)In ISPRS 2017 : Proceedings of the FOSS4G Europe 2017 : academic track meeting, 18-22 June, Marne La Vallée, France (pp. 19-25) (ISPRS Archives; Vol. XLII-4/W2). International Society for Photogrammetry and Remote Sensing (ISPRS). Andreo, V., Metz, J. C. M., Neteler, M., Rosà, R., Marcantonio, M., Billinis, C., Rizzoli, A. & Papa, A.https://doi.org/10.5194/isprs-archives-XLII-4-W2-19-2017Fully automatic feature-based registration of mobile mapping and aerial nadir images for enabling the adjustment of mobile platform locations in gnss-denied urban environments (2017)In Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany (pp. 317-323) (ISPRS Archives; Vol. XLII-1/W1). International Society for Photogrammetry and Remote Sensing (ISPRS). Jende, P., Nex, F., Gerke, M. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLII-1-W1-317-2017Preface to ISPRS Hannover Workshop 2017 (2017)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 1-2) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Heipke, C., Jacobsen, K., Stilla, U., Rottensteiner, F., Yilmaz, A., Yang, M. Y., Skaloud, J. & Colomina, I.https://doi.org/10.5194/isprs-archives-XLII-1-W1-1-2017Building Third Generation Land Tools: Its4land, Smart Sketchmaps, UAVs, Automatic Feature Extraction, and the GeoCloud (2017)In Responsible Land Governance: Towards and Evidence Based Approach, Washington, D.C. March 20-24, 2017: Proceedings of the Annual World Bank Conference on Land and Poverty (pp. 1-23). The World Bank. Bennett, R. M., Gerke, M., Crompvoets, J., Alemie, B. K., Crommelinck, S. C. & Stöcker, E. C.https://www.researchgate.net/publication/316284441_Building_Third_Generation_Land_Tools_Its4land_Smart_Sketchmaps_UAVs_Automatic_Feature_Extraction_and_the_GeoCloudSlum mapping : from space to unmanned aerial vehicle based approaches (2017)In Proceedings of Joint urban remote sensing event (JURSE) 2017, 6-8 March 2017, Dubai, United Arab Emirates (pp. 1-4). Sliuzas, R. V., Kuffer, M., Pfeffer, K., Gevaert, C. M. & Persello, C.https://doi.org/10.1109/JURSE.2017.7924589Node-grained incremental community detection for streaming networks (2017)In Proceedings - 2016 IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016 (pp. 585-592). Article 7814655. IEEE. Yin, S., Chen, S., Feng, Z., Huang, K., He, D., Zhao, P. & Yang, M. Y.https://doi.org/10.1109/ICTAI.2016.0095Accurate Estimation Of Orientation Parameters Of Uav Images Through Image Registration With Aerial Oblique Imagery (2017)In Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany (pp. 599-605) (ISPRS Archives Volume XLII-1/W1). International Society for Photogrammetry and Remote Sensing (ISPRS). Onyango, F. A., Nex, F. C., Peter, M. S. & Jende, P. L. H.https://doi.org/10.5194/isprs-archives-XLII-1-W1-599-2017Deriving urban neighborhood characteristics using spatial autocorrelation measures. (2017)In Proceedings of the 15th International Conference on Computers in Urban Planning and Urban Management (CUPUM), 11-14 July 2017, Adelaide, Australia. . Computers in Urban Planning and Urban Management. Durgi, D., Brussel, M. J. G., Tambe, D. T., Stein, A., Zuidgeest, M. H. P. & van Maarseveen, M. F. A. M.Error Modeling of Reduced IMU using Recurrent Neural Network (2017)In Proceedings of the 8th international conference on Indoor Positioning and Indoor Navigation, 18-21 September 2017, Sapporo, Japan. Indoor Positioning and Indoor Navigation. Hosseinyalamdary, S. & Balazadegan Sarvrood, Y.http://www.ipin2017.org/ipinpapers/210/210.pdfIgnition for fit for purpose land administration in Nepal (2017)In Proceedings of FIG working week 2017: Surveying the world of tomorrow: from digitalisation to augmented reality, 29 May - 2 June 2017, Helsinki, Finland. International Federation of Surveyors (FIG). Dijkstra, P., Mitchell, D., Bennett, R., Bhatta, G. P. & Chhatkuli, R. R.Lane level localization : using images and HD maps to mitgate the lateral error (2017)In Proceedings of ISPRS Hannover Workshop : HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, 6–9 June 2017, Hannover, Germany (pp. 129-134) (ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Hosseinyalamdary, S. & Peter, M.https://doi.org/10.5194/isprs-archives-XLII-1-W1-129-2017Modelling Of Indoor Environments Using Lindenmayer Systems (2017)In Proceedings ISPRS Geospatial Week 2017, 18-22 September 2017, Wuhan, China (pp. 385-390) (ISPRS Archives; Vol. XLII-2/W7). International Society for Photogrammetry and Remote Sensing (ISPRS). Peter, M.https://doi.org/10.5194/isprs-archives-XLII-2-W7-385-2017Semantic labelling of road furniture in mobile laser scanning data. (2017)In ceedings ISPRS geospatial week 2017, 18-22 September 2017, Wuhan, China (pp. 247-254) (ISPRS Archives; Vol. XLII-2/W7). International Society for Photogrammetry and Remote Sensing (ISPRS). Li, F., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLII-2-W7-247-2017The ISPRS Benchmark on Indoor Modelling (2017)In Proceedings ISPRS geospatial week 2017, 18-22 September 2017, Wuhan, China (pp. 367-372) (ISPRS Archives; Vol. XLII-2/W7). International Society for Photogrammetry and Remote Sensing (ISPRS). Khoshelham, K., Díaz-Vilariño, L., Peter, M., Kang, Z. & Acharya, D.https://doi.org/10.5194/isprs-archives-XLII-2-W7-367-2017Towards a more efficient detection of earthquake induced façade damages using oblique UAV imagery. (2017)In Proceedings of International Conference on Unmanned Aerial Vehicles in Geomatics, 4-7 September 2017, Bonn, Germany (pp. 93-100) (ISPRS Archives; Vol. XLII-2/W6). International Society for Photogrammetry and Remote Sensing (ISPRS). Duarte, D., Nex, F. C., Kerle, N. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLII-2-W6-93-2017Towards innovative geospatial tools for fit-for-purpose land rights mapping (2017)In Proceedings ISPRS geospatial week 2017, 18-22 September 2017, Wuhan, China (pp. 37-43) (ISPRS Archives; Vol. XLII-2). International Society for Photogrammetry and Remote Sensing (ISPRS). Koeva, M. N., Bennett, R. M., Gerke, M., Crommelinck, S. C., Stöcker, E. C., Crompvoets, J., Ho, S., Schwering, A., Chipofya, M., Schultz, C., Zein, T., Biraro, M., Alemie, B. K., Wayumba, R. & Kundert, K.https://doi.org/10.5194/isprs-archives-XLII-2-W7-37-2017Unbiased sparse subspace clustering by selective pursuit (2017)In CRV 2017 : Proceedings of 14th Conference on Computer and Robot Vision :: 17-19 May 2017, Edmonton, Canada.. Association for Computing Machinery. Ackermann, H., Yang, M. Y. & Rosenhahn, B.https://arxiv.org/abs/1609.05057
Editorial
Multi-sensor integration and fusion (2017)Sensors (Switzerland), 17(Special issue). Wang, C., Smit, J., Habib, A. F. & Yang, M. Y.http://www.mdpi.com/journal/sensors/special_issues/multi_sensor_integration
Other
Its4land : 7 innovations, 7 lessons, 70 minutes : powerpoint (2017)[Contribution to conference › Other] 18th Annual World Bank Conference on Land and Poverty 2017. Bennett, R. M., Zevenbergen, J. A., Zein, T. & Koeva, M. N.https://www.conftool.com/landandpoverty2017/index.php?page=browseSessions&form_session=467&mode=list&presentations=showA Deep Learning Approach to DTM Extraction from Imagery Using Rule-Based Training Labels : powerpoint. (2017)[Contribution to conference › Other] Annual Symposium of the Netherlands Centre for Geodesy and Geo-Informatics (NCG) 2017. Gevaert, C. M., Persello, C., Nex, F. C. & Vosselman, G.A spatial-temporal statistical analysis to explain seasonality in childhood HFMD infections : powerpoint (2017)[Contribution to conference › Other] The 5th Asian International Health Literacy Conference. Truong, P. & Stein, A.Outlier detection in urban air quality sensor networks (2017)[Contribution to conference › Other] Geospatial Sensor Webs : from data to information in the Sensor Web, 28-30 August 2017, Münster, Germany. van Zoest, V. M., Stein, A. & Hoek, G.Predictive land value modelling using a geostatistical approach and space syntax in Guatemala City : powerpoint. (2017)[Contribution to conference › Other] 4th International CConference on Spatial Statistics 2017. Morales, J. A., Stein, A., Flacke, J. & Zevenbergen, J. A.http://www.itc.nl/library/papers_2017/pres/morales_pre_ppt.pdfProbabilistic graphical models : powerpoint. (2017)[Contribution to conference › Other] VGIscience Summer School 2017. Yang, M. Y.https://summerschool.vgiscience.org/PGM-VGI-SS-Michael-Yang.pdfScattering property based adaptive filtering of dual polarization Sentinel-1 data for PSI application : powerpoint (2017)[Contribution to conference › Other] Fring 2017 workshop : Advances in the science and applications of SAR interferometry and Sentinel-1 InSAR, 5-9 June 2017, Helsinki, Finland. Mullissa, A.http://www.itc.nl/library/papers_2017/pres/mullissa_sca_ppt.pdfSemantic labeling of point clouds in indoor environment : powerpoint. (2017)[Contribution to conference › Other] Annual Symposium of the Netherlands Centre for Geodesy and Geo-Informatics (NCG) 2017. Nikoohemat, S., Peter, M. S. & Vosselman, G.http://www.itc.nl/library/papers_2017/pres/nikoohemat_sem_ppt.pdfSlum mapping approaches : mapping the dynamics of slums across the globe : achievements and challenges : powerpoint (2017)[Contribution to conference › Other] Deutscher Kongress für Geographie, DKG 2017. Kuffer, M., Persello, C., Pfeffer, K. & Sliuzas, R. V.
Paper
Dark Spot Detection And Characterisation Of Marine Surface Slicks Using Polsar Remote Sensing (2017)[Contribution to conference › Paper] 38th Asian Conference on Remote Sensing 2017. Kulshrestha, A., Kumar, S. & Bijker, W.https://shorturl.at/euFKSQuality assessment of combined IMU/GNSS data for direct georeferencing in the context of UAV-based mapping (2017)[Contribution to conference › Paper] ISPRS 2017 : International Conference on Unmanned Aerial Vehicles in Geomatics. Stöcker, C., Nex, F. C., Koeva, M. N. & Gerke, M.https://doi.org/10.5194/isprs-archives-XLII-2-W6-355-2017Analysing the Impact of Social Tenure Domain Model (STDM) on Tenure Security in an Informal Settlement. (2017)[Contribution to conference › Paper] 9th Annual General Meeting and Conference of the Eastern Africa Land Administration Network, EALAN 2017. Odol Otieno, E., Lengoiboni, M., Bennett, R. M. & Ayugi, S.http://land.igad.int/index.php/documents-1/improving-land-governance/1525-promoting-land-administration-and-governance-for-sustainable-development-in-eastern-africa/file
PhD Thesis - Research UT, graduation UT
Quality aspects of distributed scatterers in polarimetric differential SAR interferometry (2017)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Mullissa, A. G.https://doi.org/10.3990/1.9789036544573Spatial statistical modelling of urban particulate matter (2017)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Khuluse, S. A.https://doi.org/10.3990/1.9789036543705Urban land use extraction from very high resolution remote sensing images (2017)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Li, M.https://doi.org/10.3990/1.9789036543286
Poster
Automatic Building Extraction from UAV data : poster (2017)[Contribution to conference › Poster] Esri Eastern Africa User Conference. Gevaert, C. M., Persello, C., Vosselman, G. & Sliuzas, R. V.
2016
Abstract
Integrating UAV point clouds and imagery : an application for informal settlement mapping : abstract (2016)[Contribution to conference › Abstract] NCG Symposium 2016. Gevaert, C. M., Persello, C., Sliuzas, R. V. & Vosselman, G.Near-real time information extraction from satellite data in the framework of smallholder farming : abstract (2016)[Contribution to conference › Abstract] 11th International Conference of the African Association of Remote Sensing of the Environment 2016. Stratoulias, D., de By, R. A., Zurita-Milla, R., Tolpekin, V. A., Bijker, W. & Kibet, S.Use of crowd-sourced data to map smallholder fields in Africa : abstract (2016)[Contribution to conference › Abstract] 11th International Conference of the African Association of Remote Sensing of the Environment 2016. Kibet, S., Zurita-Milla, R., de By, R. A., Stratoulias, D., Bijker, W., Tolpekin, V. A., Soloviov, O., Blaes, X. & Traore, P. S.Use of directional texture measures for identification of mixed cropping in Kofa, Nigeria : abstract (2016)[Contribution to conference › Abstract] 11th International Conference of the African Association of Remote Sensing of the Environment 2016. Bijker, W., Tolpekin, V. A., Stratoulias, D., Kibet, S., de By, R. A. & Zurita-Milla, R.Using a rich set of spatial and spectral features to map smallholder farms : abstract (2016)[Contribution to conference › Abstract] 11th International Conference of the African Association of Remote Sensing of the Environment 2016. Zurita-Milla, R., Izquierdo-Verdiguier, E., Stratoulias, D., Tolpekin, V. A., Bijker, W. & de By, R. A.A library of crop-specific information to support studies in smallholder agriculture : abstract (2016)[Contribution to conference › Abstract] 11th International Conference of the African Association of Remote Sensing of the Environment 2016. de By, R. A., Pasha Zadeh Monajjemi, P., Stratoulias, D., Tolpekin, V. A., Bijker, W., Zurita-Milla, R. & Kibet, S.Automatic co-registration of very high resolution satellite images of smallholder farms using a 3D tree model : abstract (2016)[Contribution to conference › Abstract] 11th International Conference of the African Association of Remote Sensing of the Environment 2016. Tolpekin, V. A., Bijker, W., Zurita-Milla, R., Stratoulias, D. & de By, R. A.Automatic interpretation of pole-like street furniture : abstract (2016)[Contribution to conference › Abstract] NCG Symposium 2016. Li, F.http://www.itc.nl/library/papers_2016/pres/li_aut_abs.pdf
Article
Alzheimer's disease detection via automatic 3D caudate nucleus segmentation using coupled dictionary learning with level set formulation (2016)Computer methods and programs in biomedicine, 137, 329-339. Al-shaikhli, S. D. S., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1016/j.cmpb.2016.09.007Effective Strip Noise Removal for Low-Textured Infrared Images Based on 1-D Guided Filtering (2016)IEEE transactions on circuits and systems for video technology, 26(12), 2176-2188. Cao, Y., Yang, M. Y. & Tisse, C. L.https://doi.org/10.1109/TCSVT.2015.2493443Urban land use extraction from Very High Resolution remote sensing imagery using a Bayesian network (2016)ISPRS journal of photogrammetry and remote sensing, 122, 192-205. Li, M., Stein, A., Bijker, W. & Zhan, Q.https://doi.org/10.1016/j.isprsjprs.2016.10.007Depressive symptoms in patients with wounds: A cross-sectional study (2016)Wound repair and regeneration, 24(6), 1059-1065. Zhou, K. & Jia, P.https://doi.org/10.1111/wrr.12484Skeletal camera network embedded structure-from-motion for 3D scene reconstruction from UAV images (2016)ISPRS journal of photogrammetry and remote sensing, 121, 113-127. Xu, Z., Wu, L., Gerke, M., Wang, R. & Yang, H.https://doi.org/10.1016/j.isprsjprs.2016.08.013The impact of averaging methods on the trend analysis of the Antarctic sea ice extent and perimeter (2016)Spatial statistics, 18(A), 221-233. Zhao, X., Xu, L., Stein, A. & Pang, X.https://doi.org/10.1016/j.spasta.2016.04.002Developing a flow-based spatial algorithm to delineate hospital service areas (2016)Applied geography, 75, 137-143. Jia, P.https://doi.org/10.1016/j.apgeog.2016.08.008Urban slum detection using texture and spatial metrics derived from satellite imagery (2016)Journal of spatial science, 61(2), 405-426. Kohli, D., Sliuzas, R. V. & Stein, A.https://doi.org/10.1080/14498596.2016.11382473D automatic liver segmentation using feature-constrained Mahalanobis distance in CT images (2016)Biomedical engineering = Biomedizinische Technik, 61(4), 401-412. Salman Al-Shaikhli, S. D., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1515/bmt-2015-0017Brain tumor classification and segmentation using sparse coding and dictionary learning (2016)Biomedical engineering = Biomedizinische Technik, 61(4), 413-429. Salman Al-Shaikhli, S. D., Yang, M. Y. & Rosenhahn, B.https://doi.org/10.1515/bmt-2015-0071Simulated Annealing With Variogram-Based Optimization to Quantify Spatial Patterns of Trees Extracted From High-Resolution Images (2016)IEEE geoscience and remote sensing letters, 13(8), 1084-1088. Srivastava, V., Stein, A., Rossiter, D. G., Garg, P. K. & Garg, R. D.https://doi.org/10.1109/LGRS.2016.2565743A generalized relative total variation method for image smoothing (2016)Multimedia tools and applications, 75(13), 7909-7930. Liu, Q., Xiong, B., Yang, D. & Zhang, M.https://doi.org/10.1007/s11042-015-2709-zDomain adaptation for the classification of remote sensing data: An overview of recent advances (2016)IEEE geoscience and remote sensing magazine, 4(2), 41-57. Tuia, D., Persello, C. & Bruzzone, L.https://doi.org/10.1109/MGRS.2016.2548504The variants of an LOD of a 3D building model and their influence on spatial analyses (2016)ISPRS journal of photogrammetry and remote sensing, 116, 42-54. Biljecki, F., Ledoux, H., Stoter, J. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2016.03.003Kernel-Based Domain-Invariant Feature Selection in Hyperspectral Images for Transfer Learning (2016)IEEE transactions on geoscience and remote sensing, 54(5), 2615-2626. Article 7360172. Persello, C. & Bruzzone, L.https://doi.org/10.1109/TGRS.2015.2503885Individual tree crown modeling and change detection from airborne lidar data (2016)IEEE Journal of selected topics in applied earth observations and remote sensing, 9(8), 3467-3477. Xiao, W., Xu, S., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.1109/JSTARS.2016.2541780Markov random field-based method for super-resolution mapping of forest encroachment from remotely sensed ASTER image (2016)Geocarto international, 31(4), 428-445. Tiwari, L. K., Sinha, S. K., Saran, S., Tolpekin, V. A. & Raju, P. L. N.https://doi.org/10.1080/10106049.2015.1054441Accuracy analysis of photogrammetric UAV image blocks: Influence of onboard RTK-GNSS and cross flight patterns (2016)PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2016(1), 17-30. Gerke, M. & Przybilla, H. J.https://doi.org/10.1127/pfg/2016/0284Enhanced Subpixel Mapping with Spatial Distribution Patterns of Geographical Objects (2016)IEEE transactions on geoscience and remote sensing, 54(4), 2356-2370. Article 7383275. Ge, Y., Chen, Y., Stein, A., Li, S. & Hu, J.https://doi.org/10.1109/TGRS.2015.2499790Discussion of "Spatial statistics, Marks, maps and shapes" (2016)Quality engineering, 28(1), 96-97. Stein, A.https://doi.org/10.1080/08982112.2015.1100460An image-based approach for the co-registration of multi-temporal UAV image datasets (2016)Remote sensing, 8(9). Article 779. Aicardi, I., Nex, F. C., Gerke, M. & Lingua, A. M.https://doi.org/10.3390/rs8090779Analysis of Buruli Ulcer prevalence in Amansie West district: a geostatistical approach (2016)Austin biometrics and biostatistics, 2(1). Article 1011. Osei, F. B. & Duker, A. A.http://austinpublishinggroup.com/biometrics/fulltext/biometrics-v2-id1011.phpApplication of template matching for improving classification of urban railroad point clouds (2016)Sensors (Switzerland), 16(2), -. Article 2112. Arastounia, M. & Oude Elberink, S. J.https://doi.org/10.3390/s16122112Application of the multitype strauss point model for characterizing the spatial distribution of landslides (2016)Mathematical problems in engineering, 2016. Article 1612901. Das, I. & Stein, A.https://doi.org/10.1155/2016/1612901Bayesian integration of flux tower data into process-based simulator for quantifying uncertainty in simulated output (2016)Geoscientific Model Development. Raj, R., Hamm, N. A. S., van der Tol, C. & Stein, A.https://doi.org/10.5194/gmd-2016-216Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information (2016)ISPRS international journal of geo-information, 5(5). Article 55. See, L., Mooney, P., Foody, G., Bastin, l., Comber, A., Estima, J., Fritz, S., Kerle, N., Jiang, B., Laakso, M., Liu, H. Y., Milcinski, G., Niksic, M., Painho, M., Podor, A., Olteanu-Raimond, A. & Rutzinger, M.https://doi.org/10.3390/ijgi5050055Dasymetric modeling: A hybrid approach using land cover and tax parcel data for mapping population in Alachua County, Florida (2016)Applied geography, 66, 100-108. Jia, P. & Gaughan, A. E.https://doi.org/10.1016/j.apgeog.2015.11.006Designing an experiment to investigate subpixel mapping as an alternative method to obtain land use / land cover maps (2016)Remote sensing, 8(5). Article 360. Ge, Y., Jiang, Y., Chen, Y., Stein, A., Jiang, D. & Jia, Y.https://doi.org/10.3390/rs8050360Drought forecasting using Markov chain model and artificial neural networks (2016)Water resources management, 30(7), 2245-2259. Rezaeianzadeh, M., Stein, A. & Cox, J. P.https://doi.org/10.1007/s11269-016-1283-0Ecological niche modeling of risk factors for H7N9 human infection in China (2016)International journal of environmental research and public health, 13(6). Article 600. Xu, M., Cao, C., Li, Q., Jia, P. & Zhao, J.https://doi.org/10.3390/ijerph13060600Forest encroachment mapping in Baratang Island, India, using maximum likelihood and support vector machine classifiers (2016)Journal of applied remote sensing, 10(1). Article 016016. Tiwari, L. K., Sinha, S. K., Saran, S., Tolpekin, V. A. & Raju, P. L. N.https://doi.org/10.1117/1.JRS.10.016016Fuzzy Classification for Shorelines Change Monitoring in a part of the Northern Coastal Area of Java, Indonesia (2016)Remote sensing, 8(3). Article 190. Dewi, R. S., Bijker, W., Stein, A. & Marfai, M. A.https://doi.org/10.3390/rs8030190High-resolution spatial distribution and estimation of access to improved sanitation in Kenya (2016)PLoS ONE, 11(7), -. Article E0158490. Jia, P., Anderson, J. D., Leitner, M. & Rheingans, R.https://doi.org/10.1371/journal.pone.0158490Identification and utilization of land-use type importance for land-use data generalization (2016)Cartographic journal, 53(1), 31-42. Gao, W., Stein, A., Yang, L., Hou, J., Wu, X. & Jiang, X.https://doi.org/10.1179/1743277413Y.0000000054Identification of structurally damaged areas in airborne oblique images using a visual-bag-of-words approach (2016)Remote sensing, 8(3). Article 231. Vetrivel, A., Gerke, M., Kerle, N. & Vosselman, G.https://doi.org/10.3390/rs8030231Mapping indoor spaces by adaptive coarse-to-fine registration of RGB-D data (2016)IEEE geoscience and remote sensing letters, 13(2), 262-266. dos Santos, D. R., Brasso, M. A., Khoshelham, K., de Oliveira, E., Pavan, N. L. & Vosselman, G.https://doi.org/10.1109/LGRS.2015.2508880Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of Evidence (2016)PLoS neglected tropical diseases, 10(12), -. Article e0005208. Araujo Navas, A. L., Hamm, N. A. S., Soares Magalhaes, R. J. & Stein, A.https://doi.org/10.1371/journal.pntd.0005208Mobile augmented reality in support of building damage and safety assessment (2016)Natural hazards and earth system sciences, 16(1), 287-298. Kim, W., Kerle, N. & Gerke, M.https://doi.org/10.5194/nhess-16-287-2016Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis (2016)Annals of applied statistics, 10(3), 1286-1316. Datta, A., Banerjee, S., Finley, A. O., Hamm, N. A. S. & Schaap, M.https://doi.org/10.1214/16-AOAS931Opportunities for UAV mapping to support unplanned settlement upgrading (2016)Rwanda journal : Series D : Life and natural sciences, 1(SE 2), 1-19. Article 4. Gevaert, C. M., Sliuzas, R. V., Persello, C. & Vosselman, G.https://doi.org/10.4314/rj.v1i1S.4DOpportunities of using random sets to model uncertainties in agricultural field boundaries observed from remote sensing images (2016)Asian journal of agricultureal extension, economics and sociology, 8(2), -. Article AJAEES.20462. Stein, A., Ghofrani Esfahani, A. & Abkar, A.-A.https://doi.org/10.9734/AJAEES/2016/20462Optimizing Multiple Kernel Learning for the classification of UAV data (2016)Remote sensing, 8(12). Article 1025. Gevaert, C. M., Persello, C. & Vosselman, G.https://doi.org/10.3390/rs8121025Region-based urban road extraction from VHR satellite images using Binary Partition Tree (2016)International Journal of Applied Earth Observation and Geoinformation (JAG), 44, 217-225. Li, M., Stein, A., Bijker, W. & Zhan, Q.https://doi.org/10.1016/j.jag.2015.09.005Review of automatic feature extraction from high-resolution optical sensor data for UAV-based cadastral mapping (2016)Remote sensing, 8(8). Article 689. Crommelinck, S. C., Bennett, R. M., Gerke, M., Nex, F. C., Yang, Y. & Vosselman, G.https://doi.org/10.3390/rs8080689Spatial bayesian methods of flow forecasting in the Black Volta river (2016)European journal of scientific research, 137(1), 89-105. Abdul, I. W., Nokoe, K. S., Osei, F. B. & Antwi, E. O.https://www.researchgate.net/publication/307608787Spatial modeling of diabetes cases in Ghana (2016)International journal of science and research, 5(8), 1404-1409. Oti-Boateng, E., Ngesa, O. & Osei, F. B.https://www.ijsr.net/archive/v5i8/ART2016964.pdfThe applicability of the South African Census 2011 data for evidence-based urban planning (2016)Southern African journal of demography, 17(1), 67-132. Khuluse-Makhanya, S., Dudeni-Tlhone, N., Holloway, J., Schmitz, P., Waldeck, L., Stein, A., Debba, P., Stylianides, T., du Plessis, P., Cooper, A. & Baloyi, E.http://www.jstor.org/stable/90009868The landscape epidemiology of echinococcoses (2016)Infectious diseases of poverty, 5, -. Article 13. Cadavid Restrepo, A. M., Yang, Y. R., McManus, D. P., Gray, D. J., Giraudoux, P., Barnes, T. S., Williams, G. M., Soares Magalhaes, R. J., Hamm, N. A. S. & Clements, A. C. A.https://doi.org/10.1186/s40249-016-0109-xTowards automated detection of visual cadastral boundaries : initial investigation of imagery, algorithms and perceptions. (2016)GIM International, 30(8), 23-25. Wassie, Y. A., Koeva, M. N. & Bennett, R. M.UASs for cadastral applications : testing a fit-for-purpose land administration approach in Indonesia (2016)GIM International, 30(12), 30-31. Ramadhani, S., Bennett, R. M. & Nex, F. C.Uncertainty analysis for image interpretations of urban slums (2016)Computers, environment and urban systems, 60, 37-49. Kohli, D., Stein, A. & Sliuzas, R. V.https://doi.org/10.1016/j.compenvurbsys.2016.07.010Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements (2016)Biogeosciences discussions, 13(5), 1409-1422. Raj, R., Hamm, N. A. S., van der Tol, C. & Stein, A.https://doi.org/10.5194/bg-13-1409-2016
Book
GEOBIA 2016 : Solutions and Synergies., 14-16 September 2016, University of Twente Faculty of Geo-Information and Earth Observation (ITC): open access e-book (2016)[Book/Report › Book] 6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Kerle, N., Gerke, M. & Lefèvre, S.https://doi.org/10.3990/1.9789036542012Quality Aspects in Spatial Data Mining (2016)[Book/Report › Book]. CRC Press/Balkema. Stein, A., Shi, W. & Bijker, W.https://doi.org/10.1201/9781420069273Spatial Statistics Avignon: Emerging Patterns : special issue of: Spatial Statistics, 18(2016) Part A (2016)[Book/Report › Book]. Elsevier. Allard, D. & Stein, A.http://www.sciencedirect.com/science/journal/22116753/18/supp/PA
Book editing
GeoVision : Computer vision for spatial applications : special issue of: IEEE Journal of selected topics in applied earth observations and remote sensing (2016)[Book/Report › Book editing]. IEEE. Tuia, D., Wegner, J. D., Mallet, C. & Yang, Y.http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=7542478
Chapter
Unsupervised Deep Domain Adaptation for Pedestrian Detection (2016)In Computer Vision : ECCV 2016 Workshops (pp. 676-691). Article Chapter 48 (Computer Vision – ECCV 2016 Workshops; Vol. 9914). Springer. Liu, L., Lin, W., Wu, L., Yu, Y. & Yang, M. Y.https://doi.org/10.1007/978-3-319-48881-3_48Classification of informal settlements through the integration of 2D and 3D features extracted from UAV data (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-3, 2016 (pp. 317-324) (ISPRS Annals of Photogrammaetry and Remote Sensing; Vol. XLI-B1). International Society for Photogrammetry and Remote Sensing (ISPRS). Gevaert, C. M., Persello, C., Sliuzas, R. V. & Vosselman, G.https://doi.org/10.5194/isprs-annals-III-3-317-2016Oblique aerial imagery for NMA : some best practices (2016)In ISPRS 2016 : Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-2, 2016. Comm II, ThS14 recent developments in Open Data (pp. 639-645). International Society for Photogrammetry and Remote Sensing (ISPRS). Remondino, F., Toschi, I., Gerke, M., Nex, F. C., Holland, D., McGill, A., Talaya Lopez, J. & Magarinos, A.https://doi.org/10.5194/isprs-archives-XLI-B4-639-2016Potential of multi-temporal oblique airborne imagery for structural damage assessment (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-3, 2016 (pp. 355-362) (ISPRS Annals of Photogrammaetry and Remote Sensing; Vol. XLI-B1). International Society for Photogrammetry and Remote Sensing (ISPRS). Vetrivel, A., Duarte, D., Nex, F. C., Gerke, M., Kerle, N. & Vosselman, G.https://doi.org/10.5194/isprs-annals-III-3-355-2016A deep learning approach to the classification of sub-decimetre resolution aerial images (2016)In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 1516-1519). IEEE. Bergado, J. R., Persello, C. & Gevaert, C.https://doi.org/10.1109/IGARSS.2016.7729387Sensitivity analysis of the long-term trend in Antarctic sea ice extent (2016)In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 4868-4871). IEEE. Xu, L., Zhao, X., Pang, X., Stein, A. & Ji, Q.https://doi.org/10.1109/IGARSS.2016.7730270Two-level active learning method for debris detection using VHR satellite imagery and local aerial surveys (2016)In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 3070-3073). IEEE. Xu, Z., Persello, C., Li, M., Wu, L. & Wu, P.https://doi.org/10.1109/IGARSS.2016.7729794Urban land use extraction from very high resolution remote sensing images by bayesian network (2016)In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 3334-3337) (IGARSS). IEEE. Li, M., Stein, A. & Bijker, W.https://doi.org/10.1109/IGARSS.2016.7729862Auswertung von Schrägluftaufnahmen (2016)In Handbuch der Geodäsie (pp. 1-22) (Springer reference Naturwissenschaften). Springer. Gerke, M. & Vosselman, G.https://doi.org/10.1007/978-3-662-47094-7_57Bi-layer dictionary learning for remote sensing image classification (2016)In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China (pp. 3059-3062) (IGARSS). IEEE. Yang, Y., Al-Shaikhli, S., Jiang, T., Cao, Y. & Rosenhahn, B.https://doi.org/10.1109/IGARSS.2016.7729791Close-range sensing techniques in alpine terrain (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-6, 2016 (pp. 387-394). International Society for Photogrammetry and Remote Sensing (ISPRS). Rutzinger, M., Hofle, B., Lindenbergh, R. & Oude Elberink, S. J.https://doi.org/10.5194/isprs-annals-III-6-15-2016Footprint map partitioning using airborne laser scanning data (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-3, 2016 (pp. 241-247). International Society for Photogrammetry and Remote Sensing (ISPRS). Xiong, B., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.5194/isprs-annals-III-3-241-2016GIS-Aided traffic monitoring using multiple sensor integration (2016)In Encyclopedia of GIS (pp. -). Springer. Hosseinyalamdary, S.https://doi.org/10.1007/978-3-319-23519-6_1620-1Integration of 2D and 3D features from UAV imagery for informal settlement classification using Multiple Kernel Learning (2016)In Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS) : Advancing the understanding of our living planet, 10-15 July 2016, Beijing, China. Piscataway: IEEE, 2016 (pp. 1508-1511) (IGARSS). IEEE. Gevaert, C. M., Persello, C., Sliuzas, R. V. & Vosselman, G.https://doi.org/10.1109/IGARSS.2016.7729385Pole-like street furniture decomposition in mobile laser scanning data (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-3, 2016 (pp. 193-200). International Society for Photogrammetry and Remote Sensing (ISPRS). Li, F., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.5194/isprs-annals-III-3-193-2016Real-time RGB-D based template matching pedestrian detection (2016)In Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), 16-21 May 2016. (pp. 5520-5527) (IEEE proceedings). IEEE. Jafari, O. & Yang, Y.https://doi.org/10.1109/ICRA.2016.7487767Superpixel cut for figure-ground image segmentation (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-3, 2016 (pp. 387-394). International Society for Photogrammetry and Remote Sensing (ISPRS). Yang, Y. & Rosenhahn, B.https://doi.org/10.5194/isprs-annals-III-3-387-2016Traffic Light Detection Using Conic Section Geometry (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information, 12-19 July 2016, Prague, Czech Republic. Peer reviewed Annals, Volume III-1, 2016 (pp. 191-200) (ISPRS Peer reviewd Annals). International Society for Photogrammetry and Remote Sensing (ISPRS). Hosseinyalamdary, S. & Yilmaz, A.https://doi.org/10.5194/isprs-annals-III-1-191-2016Tree detection in orchards from VHR satellite images using scale-space theory (2016)In Image and Signal Processing for Remote Sensing XXII, 22-29 September 2016, Edinburgh, United Kingdom (pp. -) (SPIE proceedings). SPIE. Mahour, M., Tolpekin, V. A. & Stein, A.https://doi.org/10.1117/12.2241529Uncertainty handling in disaster management using hierarchical rough set granulation (2016)In Proceedings of ISPRS Geospatial Week 2015, 28 September - 3 October 2015, La Grande Motte, France. Peer reviewed Annals, Volume II-3/W5 (pp. 271-276) (ISPRS Peer reviewd Annals). International Society for Photogrammetry and Remote Sensing (ISPRS). Sheikhian, H., Delavar, M. & Stein, A.https://doi.org/10.5194/isprsannals-II-3-W5-271-2015Uncertainty-driven 6D pose estimation of objects and scenes from a single RGB image (2016)In Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 26 June - 1 July 2016, Las Vegas, United States of America (pp. 3364-3372). IEEE. Brachmann, E., Michel, F., Krull, A., Yang, Y., Gumhold, S. & Rother, C.https://doi.org/10.1109/CVPR.2016.366“The Invisible Made Visible”: Science and Technology (2016)In AiREAS: Sustainocracy for a Healthy City: The Invisible made Visible Phase 1 (pp. 51-77) (SpringerBriefs on case studies of sustainable development). Springer. Hamm, N. A. S., van Lochem, M., Hoek, G., Otjes, R., van der Sterren, S. & Verhoeven, H.https://doi.org/10.1007/978-3-319-26940-5_3
Conference contribution
Challenges for Updating 3D Cadastral Objects using LiDAR and Image-based Point Clouds (2016)In Proceedings 5th International Workshop on 3D Cadastres: 18-20 October 2016, Athens, Greece (pp. 169-182). International Federation of Surveyors (FIG). Koeva, M. & Oude Elberink, S.http://www.gdmc.nl/3DCadastres/workshop2016/programme/Workshop2016_09.pdfA representative-based framework for parsing and summarizing events in surveillance videos (2016)In 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016 (pp. 1-6). Article 7574772 (2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016). IEEE. Ju, Z., Lin, W., Yang, M. Y., Bo, Z., Luo, C., Lin, C. W. & Mei, T.https://doi.org/10.1109/ICMEW.2016.7574772Map based segmentation of airborne laser scanner data (2016)In Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands (pp. -). University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Wang, Y. & Oude Elberink, S. J.https://doi.org/10.3990/2.424Scene classification of urban areas exploiting multi-view high resolution aerial images (2016)In Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Nex, F. C. & Dalla Mura, M.https://doi.org/10.3990/2.427Towards automated satellite image segmentation and classification for assessing disaster damage using data-specific features with incremental learning (2016)In Proceedings of GEOBIA 2016 : Solutions and synergies, 14-16 September 2016, Enschede, Netherlands (pp. 1-5). University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Vetrivel, A., Kerle, N., Gerke, M., Nex, F. C. & Vosselman, G.https://doi.org/10.3990/2.3693D modelling and interactive web-based visualization of cultural heritage objects (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information : Commission V, WG V/2, 12-19 July 2016, Prague, Czech Republic (pp. 297-303). International Society for Photogrammetry and Remote Sensing (ISPRS). Koeva, M. N.https://doi.org/10.5194/isprs-archives-XLI-B5-297-2016Advanced tie feature matching for the registration of mobile mapping imaging data and aerial imagery (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information : Commission I, 12-19 July 2016, Prague, Czech Republic (pp. 617-623) (ISPRS Archives; Vol. XLI-B1). International Society for Photogrammetry and Remote Sensing (ISPRS). Jende, P. L. H., Peter, M. S., Gerke, M. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLI-B1-617-2016Co-registration of multitemporal UAV image datasets for monitoring applications : a new approach (2016)In Proceedings of the XXIII ISPRS Congress, Commission IV, 12-19 July 2016, Prague, Czech Republic (pp. 757-763). International Society for Photogrammetry and Remote Sensing (ISPRS). Aicardi, I., Nyapwere, N., Nex, F. C., Gerke, M., Lingua, A. M. & Koeva, M. N.https://doi.org/10.5194/isprs-archives-XLI-B1-757-2016Evaluation of a metric camera system tailored for high precision UAV applications (2016)In Proceedings of the XXIII ISPRS Congress, Commission IV, 12-19 July 2016, Prague, Czech Republic (pp. 901-907). International Society for Photogrammetry and Remote Sensing (ISPRS). Kraft, T., Geßner, M., Meißner, H., Cramer, M., Gerke, M. & Przybilla, H. J.https://doi.org/10.5194/isprs-archives-XLI-B4-639-2016Orientation of oblique airborne image sets : experiences from the ISPRS/EUROSDR benchmark on multi-platform photogrammetry (2016)In Proceedings of the XXIII ISPRS Congress, Commission I, 12-19 July 2016, Prague, Czech Republic (pp. 185-191). International Society for Photogrammetry and Remote Sensing (ISPRS). Gerke, M., Nex, F. C., Remondino, F., Jacobsen, K., Kremer, J., Karel, W., Hu, H. & Ostrowski, W.https://doi.org/10.5194/isprs-archives-XLI-B1-185-2016Spatial temporal modelling of particulate matter for health effects studies (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information : Commission VIII, 12-19 July 2016, Prague, Czech Republic (pp. 1403-1406). Hamm, N. A. S.https://doi.org/10.5194/isprs-archives-XLI-B8-1403-2016Efficient semantic segmentation of man-made scenes using fully-connected conditional random field (2016)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIII ISPRS Congress (pp. 633-640) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Li, W. & Yang, M. Y.https://doi.org/10.5194/isprsarchives-XLI-B3-633-2016Transit-oriented development (TOD) assessment using 3D visualisation and modelling : prospects and opportunities (2016)In Proceedings of the 13th international conference on design & decision support systems in architecture and urban planning, 27-28 June 2016, Eindhoven, The Netherlands (pp. 1-22). Grigolon, A. B., Singh, Y. J., Koeva, M. N. & Madureira, A. M.Oblique aerial imagery for NMA: some best practices (2016)In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIII ISPRS Congress (pp. 639-645) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences). International Society for Photogrammetry and Remote Sensing (ISPRS). Remondino, F., Toschi, I., Gerke, M., Nex, F., Holland, D., McGill, A., Lopez, J. T. & Magarinos, A.https://doi.org/10.5194/isprs-archives-XLI-B4-639-2016Oblique aerial images : potentialities, applications and best practices (2016)In Geospatial world forum : where's the money? : disruptive business models, 23-26 May 2016, Rotterdam, The Netherlands (pp. s1-s31). Nex, F. C.http://www.itc.nl/library/papers_2016/pres/nex_obl_ppt.pdfCo-registration of terrestrial and UAV-based images: experimental results (2016)In Proceedings of EuroCOW 2016, the European Calibration and Orientation Workshop, 10-12 February 2016, Lausanne, Switzerland (pp. 11-18). International Society for Photogrammetry and Remote Sensing (ISPRS). Gerke, M., Nex, F. C. & Jende, P. L. H.https://doi.org/10.5194/isprs-archives-XL-3-W4-11-2016Introduction of a photogrammetric camera system for RPAS with highly accurate GNSS/IMU information for standardized workflows (2016)In Proceedings of EuroCOW 2016, the European Calibration and Orientation Workshop, 10-12 February 2016, Lausanne, Switzerland (pp. 71-75). International Society for Photogrammetry and Remote Sensing (ISPRS). Kraft, T., Gessner, M., Meissner, H., Przybilla, H. J. & Gerke, M.https://doi.org/10.5194/isprs-archives-XL-3-W4-35-2016Low-level tie feature extraction of mobile mapping data (MLS / images) and aerial imagery (2016)In Proceedings of EuroCOW 2016, the European Calibration and Orientation Workshop, 10-12 February 2016, Lausanne, Switzerland (pp. 19-26) (ISPRS Archives; Vol. XL-3/W4). International Society for Photogrammetry and Remote Sensing (ISPRS). Jende, P. L. H., Hussnain, S. Z., Peter, M. S., Oude Elberink, S. J., Gerke, M. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XL-3-W4-19-2016Sub-camera calibration of a penta-camera. (2016)In Proceedings of EuroCOW 2016, the European Calibration and Orientation Workshop, 10-12 February 2016, Lausanne, Switzerland (pp. 35-40). International Society for Photogrammetry and Remote Sensing (ISPRS). Jacobsen, K. & Gerke, M.https://doi.org/10.5194/isprs-archives-XL-3-W4-35-2016Automatic feature detection, description and matching from mobile laser scanning data and aerial imagery (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information : Commission I, 12-19 July 2016, Prague, Czech Republic (pp. 609-616) (ISPRS Archives; Vol. XLI-B1). International Society for Photogrammetry and Remote Sensing (ISPRS). Hussnain, S. Z., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.5194/isprs-archives-XLI-B1-609-2016Can ground truth label propagation from video help semantic segmentation? (2016)In Computer Vision – ECCV 2016 Workshops, Proceedings (pp. 804-820) (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9915 LNCS). Springer. Mustikovela, S. K., Yang, M. Y. & Rother, C.https://doi.org/10.1007/978-3-319-49409-8_66Deriving 3D point clouds from terrestrial photographs : comparison of different sensors and software (2016)In Proceedings of the XXIII ISPRS Congress : From human history to the future with spatial information : Commission V, 12-19 July 2016, Prague, Czech Republic (pp. 685-692). International Society for Photogrammetry and Remote Sensing (ISPRS). Niederheiser, R., Mokros, M., Lange, J., Petschko, H., Prasicek, G. & Oude Elberink, S. J.https://doi.org/10.5194/isprs-archives-XLI-B5-685-2016Polarimetric SAR Interferometry based decomposition modelling for reliable scattering retrieval (2016)In Land Surface and Cryosphere Remote Sensing III; (pp. 9877-9877). SPIE. Agrawal, N., Kumar, S. & Tolpekin, V. A.https://doi.org/10.1117/12.2223977Semi-empirical modelling for forest aboveground biomass estimation using hybrid and fully PolSAR data (2016)In Land Surface and Cryosphere Remote Sensing III; 987729 (pp. 9877-9877) (SPIE Proceedings series). SPIE. Tomar, K. S., Kumar, S. & Tolpekin, V. A.https://doi.org/10.1117/12.2223639
Dataset
Bayesian integration of flux tower data into process-based simulator for quantifying uncertainty in simulated output (2016)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Hamm, N., Stein, A. & Raj, R.https://doi.org/10.17026/dans-zc7-7549Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements (2016)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Raj, R., Hamm, N., van der Tol, C. & Stein, A.https://doi.org/10.17026/dans-x9t-nkbzISPRS / EuroSDR Benchmark for Multi-Platform Photogrammetry (2016)[Dataset Types › Dataset]. International Society for Photogrammetry and Remote Sensing (ISPRS). Nex, F.
Editorial
Editorial to the Avignon 2015: Emerging Pattern Special Issue (2016)Spatial statistics, 18, 1-3. Allard, D. & Stein, A.https://doi.org/10.1016/j.spasta.2016.07.002Foreword to the Special Issue on 'GeoVision: Computer Vision for Geospatial Applications' (2016)IEEE Journal of selected topics in applied earth observations and remote sensing, 9(7), 2840-2843. Article 7542620. Tuia, D., Wegner, J. D., Mallet, C. & Yang, M. Y.https://doi.org/10.1109/JSTARS.2016.2586158
Foreword/postscript
Introduction (2016)In Quality Aspects in Spatial Data Mining (pp. xvii-xx). CRC Press/Balkema. Stein, A., Shi, W. & Bijker, W.https://doi.org/10.1201/9781420069273
Other
A global perspective on 3D cadastral development : powerpoint (2016)[Contribution to conference › Other] The Selçuk International Scientific Conference on Applied Sciences 2016. Koeva, M. N., Bennett, R. M. & Zevenbergen, J. A.http://www.itc.nl/library/papers_2016/pres/koeva_glob_ppt.pdfTree detection in orchards from VHR satellite images using scale-space theory : powerpoint (2016)[Contribution to conference › Other] SPIE Remote Sensing 2016. Mahour, M., Tolpekin, V. A. & Stein, A.http://www.itc.nl/library/papers_2016/pres/mahour_tre_ppt.pdfApplications of graphical models : powerpoint (2016)[Contribution to conference › Other] 6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016. Yang, Y.https://www.geobia2016.com/wp-content/uploads/2016/04/MichaelYang-PhDColloq.pdfData quality evaluation of low-cost PM10 air quality sensors : powerpoint (2016)[Contribution to conference › Other] Geospatial Sensor Webs Conference 2016. Zoest, V. M., Hamm, N. A. S., Stein, A., Hoek, G. & Otjes, R. P.http://www.itc.nl/library/papers_2016/pres/hamm_dat_ppt.pdfEvaluation and integration of models and measurements for city-level air quality monitoring : powerpoint (2016)[Contribution to conference › Other] Geospatial Sensor Webs Conference 2016. Dash, I., Hamm, N. A. S. & Stein, A.http://www.itc.nl/library/papers_2016/pres/hamm_eva_ppt.pdfA dynamic space-time model for particulate matter air pollution : powerpoint (2016)[Contribution to conference › Other] 11th International Conference on Geostatistics for Environmental Application 2016. Hamm, N. A. S.http://www.itc.nl/library/papers_2016/pres/hamm_dyn_ppt.pdfChallenges for updating 3D cadastral objects using LiDAR and image-based point clouds : powerpoint (2016)[Contribution to conference › Other] NCG Symposium 2016. Koeva, M. N. & Oude Elberink, S. J.http://www.itc.nl/library/papers_2016/pres/koeva_cha_ppt.pdfInterpolation of daily mean air temperature data via spatial and non-spatial copulas : powerpoint (2016)[Contribution to conference › Other] 4th International CConference on Spatial Statistics 2017. Alidoost, F. & Stein, A.http://www.itc.nl/library/papers_2017/pres/alidoost_int_ppt.pdfLinking land use, tenure, and consolidation in Rwanda : a tale of two cases : powerpoint (2016)[Contribution to conference › Other] LANDac. Rabanje, I., Bennett, R. M., Vrieling, A. & Asiama, K. O.http://www.itc.nl/library/papers_2016/pres/bennett_lin_ppt.pdfPermanent Structure Detection in Cluttered Point Clouds from Indoor Mobile Laser Scanners (IMLS) : powerpoint. (2016)[Contribution to conference › Other] NCG Symposium 2016. Nikoohemat, S., Vosselman, G. & Peter, M. S.http://www.itc.nl/library/papers_2016/pres/nikoohemat_per_ppt.pdfUrban land cover and land use extraction from very high resolution remote sensing imagery (2016)[Contribution to conference › Other] Landscape change. Li, M., Stein, A., Bijker, W. & de Beurs, K. M.
Paper
Multi-temporal image analysis for monitoring the changes in fuzzy shorelines (2016)[Contribution to conference › Paper] 37th Asian Conference on Remote Sensing, ACRS 2016. Dewi, R. S., Bijker, W. & Stein, A.
PhD Thesis - Research UT, graduation UT
Quality assured estimates of forest gross primary production: integration of flux tower data and a process-based simulator (2016)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Raj, R.https://doi.org/10.3990/1.9789036542357
Poster
GeoHealth analytics to support proactive decision making in prevention of highly resistant microorganism outbreaks (HRMO). (2016)[Contribution to conference › Poster] HEC2016. Braakman-Jansen, L. M. A., Tjin-Kam-Jet-Siemons, L., Stein, A., al Naiemi, N. & van Gemert-Pijnen, J. E. W. C.Disease isopleth mapping using Poisson regression area-to-point kriging and remotely sensed data : poster (2016)[Contribution to conference › Poster] 26th annual conference of the International Environmetrics Society 2016. Phuong, P. T. N., Osei, F. B., Hamm, N. A. S. & Stein, A.http://www.itc.nl/library/papers_2016/pres/truong_dis_pos.pdfCorrection of daily ECMWF air temperature data based on copula concept (2016)[Contribution to conference › Poster] SAIL35 : Eye on Foliage, symposium, 27-28 September 2016, Enschede, The Netherlands. Alidoost, F. & Stein, A.http://www.itc.nl/library/papers_2016/pres/alidoost_cor_pos.pdf
Short survey
Geospatial big data handling theory and methods: A review and research challenges (2016)ISPRS journal of photogrammetry and remote sensing, 115, 119-133. Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A. & Cheng, T.https://doi.org/10.1016/j.isprsjprs.2015.10.012
2015
Abstract
Characterizing spatial arrangements for urban land use classification from Very High Resolution remote sensing images (2015)[Contribution to conference › Abstract] International Land Use Symposium, ILUS 2015. Li, M., Stein, A. & Bijker, W.Uncertainty analysis of GPP separated from NEE measurements at Speulderbos forest, The Netherlands (2015)[Contribution to conference › Abstract] EGU General Assembly 2015. Raj, R., Hamm, N. A. S., van der Tol, C. & Stein, A.http://meetingorganizer.copernicus.org/EGU2015/EGU2015-742-1.pdf
Article
Building footprint extraction based on radiometric and geometric constraints in airborne oblique images (2015)International journal of image and data fusion, 6(3), 270-287. Xiao, J. & Gerke, M.https://doi.org/10.1080/19479832.2015.1050073Region- and pixel-based image fusion for disaggregation of actual evapotranspiration (2015)International journal of image and data fusion, 6(3), 216-231. Alidoost, F., Sharifi, M. A. & Stein, A.https://doi.org/10.1080/19479832.2015.1055834Geolocalization of Crowdsourced Images for 3-D Modeling of City Points of Interest (2015)IEEE geoscience and remote sensing letters, 12(8), 1670-1674. Verstockt, S., Gerke, M. & Kerle, N.https://doi.org/10.1109/LGRS.2015.2418816Spatial pattern development of selective logging over several years (2015)Spatial statistics, 13, 90-105. Anwar, S. & Stein, A.https://doi.org/10.1016/j.spasta.2015.03.001Variation analysis of lake extension in space and time from MODIS images using random sets (2015)International Journal of Applied Earth Observation and Geoinformation (JAG), 30, 86-97. Zhao, X., Stein, A., Zhang, X., Feng, L. & Chen, X.https://doi.org/10.1016/j.jag.2014.01.003Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images (2015)ISPRS journal of photogrammetry and remote sensing, 105, 61-78. Vetrivel, A., Gerke, M., Kerle, N. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2015.03.016An effective hybrid approach to remote-sensing image classification (2015)International journal of remote sensing, 36(11), 2767-2785. Harikumar, A., Kumar, A., Stein, A., Raju, P. L. N. & Krishna Murty, Y. V. N.https://doi.org/10.1080/01431161.2015.1047050Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications (2015)IEEE Journal of selected topics in applied earth observations and remote sensing, 8(6), 3140-3146. Gevaert, C. M., Suomalainen, J., Tang, J. & Kooistra, L.https://doi.org/10.1109/JSTARS.2015.2406339Automatic Extraction of Railroad Centerlines from Mobile Laser Scanning Data (2015)Remote sensing, 7(5), 5565-5583. Oude Elberink, S. & Khoshelham, K.https://doi.org/10.3390/rs70505565Use of spatial statistics to investigate early forest degradation activities as detected from satellite images (2015)Spatial statistics, 12, 50-64. Anwar, S. & Stein, A.https://doi.org/10.1016/j.spasta.2015.01.003Recent trends on glacier area retreat over the group of Nevados Caullaraju - Pastoruri (Cordillera Blanca, Peru) using Landsat imagery (2015)Journal of South American earth sciences, 59, 19-26. Durán-Alarcón, C., Gevaert, C. M., Mattar, C., Jiménez-Muñoz, J. C., Pasapera-Gonzales, J. J., Sobrino, J. A., Silvia-Vidal, Y., Fashé-Raymundo, O., Chavez-Espiritu, T. W. & Santillan-Portilla, N.https://doi.org/10.1016/j.jsames.2015.01.006Use of Binary Partition Tree and energy minimization for object-based classification of urban land cover (2015)ISPRS journal of photogrammetry and remote sensing, 102, 48-61. Li, M., Bijker, W. & Stein, A.https://doi.org/10.1016/j.isprsjprs.2014.12.023Use of Gestalt Theory and Random Sets for Automatic Detection of Linear Geological Features (2015)Mathematical geosciences, 47(3), 249-276. Sidiropoulou Velidou, D., Tolpekin, V. A., Stein, A. & Woldai, T.https://doi.org/10.1007/s11004-015-9584-zFlexible building primitives for 3D building modeling (2015)ISPRS journal of photogrammetry and remote sensing, 101, 275-290. Xiong, B., Jancosek, M., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2015.01.002Importance of DA-MRF Models in Fuzzy Based Classifier (2015)Photonirvachak = Journal of the Indian society of remote sensing, 43(1), 27-35. Singha, M., Kumar, A., Stein, A., Raju, P. L. N. & Krishna Murty, Y. V. N.https://doi.org/10.1007/s12524-014-0382-83D modeling of building indoor spaces and closed doors from imagery and point clouds (2015)Sensors (Switzerland), 15(2), 3491-3512. Díaz-Vilariño, L., Khoshelham, K., Martínez-Sánchez, J. & Arias, P.https://doi.org/10.3390/s150203491A spatially varying coefficient model for mapping PM10 air quality at the European scale (2015)Atmospheric environment, 102, 393-405. Hamm, N. A. S., Finley, A. O., Schaap, M. & Stein, A.https://doi.org/10.1016/j.atmosenv.2014.11.043Characterization and spatial modeling of urban sprawl in the Wuhan Metropolitan Area, China (2015)International Journal of Applied Earth Observation and Geoinformation (JAG), 34, 10-24. Zeng, C., Liu, Y., Stein, A. & Jiao, L.https://doi.org/10.1016/j.jag.2014.06.012A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion (2015)Remote sensing of environment, 156, 34-44. Gevaert, C. M. & García-Haro, F. J.https://doi.org/10.1016/j.rse.2014.09.012A WTLS-Based Method for Remote Sensing Imagery Registration (2015)IEEE transactions on geoscience and remote sensing, 53(1), 102-116. Wu, T., Ge, Y., Wang, J., Stein, A., Song, Y., Du, Y. & Ma, J.https://doi.org/10.1109/TGRS.2014.2318705Comparison between AMSR-E ASI sea-ice concentration product, MODIS and pseudo-ship observations of the Antarctic sea-ice ridge (2015)Annals of glaciology, 56(69), 45-52. Article 69a588. Zhao, X., Su, H., Stein, A. & Pang, X.https://doi.org/10.3189/2015AoG69A588Descriptor evaluation and feature regression for multimodal image analysis (2015)Machine vision and applications, 26(7), 975-990. Yong, X., Yang, M., Cao, Y. & Rosenhahn, B.https://doi.org/10.1007/s00138-015-0714-xDetection and classification of changes in buildings from airborne laser scanning data (2015)Remote sensing, 7(12), 17051-17076. Xu, S., Vosselman, G. & Oude Elberink, S. J.https://doi.org/10.3390/rs71215867Earth observation, spatial data quality, and neglected tropical diseases (2015)PLoS neglected tropical diseases, 9(12), -. Article 0004164. Hamm, N. A. S., Soares Magalhaes, R. J. & Clements, A. C. A.https://doi.org/10.1371/journal.pntd.0004164Effect of slope on treetop detection using a LiDAR Canopy Height Model (2015)ISPRS journal of photogrammetry and remote sensing, 104, 44-52. Khosravipour, A., Skidmore, A. K., Wang, T., Isenburg, M. & Khoshelham, K.https://doi.org/10.1016/j.isprsjprs.2015.02.013Human brucellosis occurrences in Inner Mongolia, China : a spatio-temporal distribution and ecological niche modeling approach (2015)BMC infectious diseases, 15. Article 36. Jia, P. & Joyner, A.https://doi.org/10.1186/s12879-015-0763-9Innovations in boundary mapping (2015)Coordinates, 11(8), 19-25. Mumbone, M., Bennett, R. M., Gerke, M. & Volkmann, W.http://mycoordinates.org/pdf/aug15.pdfIntegrating super resolution mapping and SEBS modeling for evapotranspiration mapping at the field scale (2015)Precision agriculture, 16(5), 571-586. Mahour, M., Stein, A., Sharifi, A. & Tolpekin, V.https://doi.org/10.1007/s11119-015-9395-8Land Cover Classification and Monitoring: the STEM Open Source Solution (2015)European Journal of Remote Sensing , 48(1), 811-831. Nex, F., Delucchi, L., Gianelle, D., Neteler, M., Remondino, F. & Dalponte, M.https://doi.org/10.5721/EuJRS20154845Polarimetric scattering model for estimation of above ground biomass of multilayer vegetation using ALOS-PALSAR quad-pol data (2015)Physics and Chemistry of the Earth, incorporating Parts A, B and C, 83-84, 187-195. Bharadwaj, P. S., Kumar, S., Kushwaha, S. P. S. & Bijker, W.https://doi.org/10.1016/j.pce.2015.09.003Sensitivity of Reflectance to Water Vapor and Aerosol Optical Thickness (2015)IEEE Journal of selected topics in applied earth observations and remote sensing, 8(6), 3199-3208. Bhatia, N., Tolpekin, V. A., Reusen, I., Sterckx, S., Biesemans, J. & Stein, A.https://doi.org/10.1109/JSTARS.2015.2425954UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning (2015)Natural hazards and earth system sciences, 15(6), 1087-1101. Fernandez Galarreta, J., Kerle, N. & Gerke, M.https://doi.org/10.5194/nhess-15-1087-2015Using geographically weighted regression kriging for crop yield mapping in West Africa (2015)International journal of geographical information science, 29(2), 234-257. Imran, M., Stein, A. & Zurita-Milla, R.https://doi.org/10.1080/13658816.2014.959522
Book
Uncertainty Modelling and Quality Control for Spatial Data (2015)[Book/Report › Book]. CRC Press (Taylor & Francis). Shi, W., Wu, B. & Stein, A.https://doi.org/10.1201/b19160
Book editing
Proceedings of ISPRS Geospatial Week 2015, 28 September - 3 October 2015, La Grande Motte, France. Peer reviewed Annals, Volume II-3/W5 (2015)[Book/Report › Book editing]. International Society for Photogrammetry and Remote Sensing (ISPRS). Mallett, C., Paparoditis, N., Dowman, I., Oude Elberink, S. J., Raimond, A. M., Rotensteiner, F., Yang, M., Christophe, S., Coltekin, A. & Bredif, M.http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W5/index.html
Chapter
Efficient use of video for 3D modelling of cultural heritage objects (2015)In Annals of the Photogrammetry, Remote Sensing and Spatial Information Science, peer reviewed annals Vol. II-3/W4, 2015, PIA15+HRIGI15 : Joint ISPRS conference, 25-27 March, 2015, Munich, Germany (pp. 1-8). International Society for Photogrammetry and Remote Sensing. Alsadik, B. S., Gerke, M. & Vosselman, G.https://doi.org/10.5194/isprsannals-II-3-W4-1-2015ISPRS benchmark for multi - platform photogrammetry (2015)In Annals of the Photogrammetry, Remote Sensing and Spatial Information Science, peer reviewed annals Vol. II-3/W4, 2015, PIA15+HRIGI15 : Joint ISPRS conference, 25-27 March, 2015, Munich, Germany (pp. 135-142). International Society for Photogrammetry and Remote Sensing. Nex, F. C., Gerke, M., Remondino, F., Przybilla, H. J., Baumker, M. & Zurhorst, A.https://doi.org/10.5194/isprsannals-II-3-W4-135-2015Quantification of rock joint roughness using terrestrial laser scanning (2015)In Engineering geology for society and territory : volume 6 : applied geology for major engineering projects (pp. 835-838). Springer. Bitenc, M., Kieffer, D. S., Khoshelham, K. & Vezocnik, R.https://doi.org/10.1007/978-3-319-09060-3_150Spatial statistical solutions in SDQ to answer agricultural demands based on satellite observations (2015)In Uncertainty modelling and quality control for spatial data (pp. 13-25). CRC Press (Taylor & Francis). Stein, A., Imran, M. & Mahour, M.https://doi.org/10.1201/b19160-4
Conference contribution
From geographical distribution to ecological niche and back (2015)In 7th Biennial conference of the International biogeography society, 8-12 January 2015, Bayreuth, Germany (pp. s1-s18). Naimi, N., Groen, T. A., Hamm, N. A. S., Skidmore, A. K. & Auaujo, M. B.http://www.itc.nl/library/papers_2015/pres/groen_fro_ppt.pdfA photogrammetric approach for map updating using UAV in Rwanda (2015)In Proceedings of GeoTech Rwanda 2015: 18-20 November 2015, Kigali, Rwanda. University of Rwanda. Maurice, M. J., Koeva, M. N., Gerke, M., Nex, F. C. & Gevaert, C. M.Opportunities for UAV mapping to support unplanned settlement upgrading (2015)In Proceedings of GeoTech Rwanda 2015: 18-20 November 2015, Kigali, Rwanda. University of Rwanda. Gevaert, C. M., Sliuzas, R. V., Persello, C. & Vosselman, G.A novel dictionary learning method for remote sensing image classification (2015)In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings (pp. 4364-4367). Article 7326793 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2015-November). IEEE. Yang, M. Y., Jiang, T., Al-Shaikhli, S. & Rosenhahn, B.https://doi.org/10.1109/IGARSS.2015.7326793Identification and mapping of tree species in urban areas using Worldview-2 imagery (2015)In Proceedings of ISPRS joint international geoinformation conference, 28-30 October 2015, Kuala Lumpur, Malaysia. Peer reviewed Annals, Volume II-2/W2 (pp. 175-181). Mustafa, Y. T., Habeeb, H. N., Stein, A. & Sulaiman, F. Y.https://doi.org/10.5194/isprsannals-II-2-W2-175-2015ISPRS / EuroSDR benchmark multi - platform photogrammetry : preliminary results (2015)In EuroSDR/ISPRS workshop on oblique cameras and dense image matching, 19-20 October 2015, Southampton, United Kingdom (pp. s1-s33). Nex, F. C. & Gerke, M.http://www.eurosdr.net/sites/default/files/images/inline/01_gerke_nex-eurosdr_isprs-southampton2015.pdfThe potential of very high spatial resolution remote sensing in applications in smallholder agriculture (2015)In 36th Asian Conference on Remote Sensing 2015 (ACRS 2015): Fostering Resilient Growth in Asia (pp. 1533-1539). Asian Association on Remote Sensing. Stratoulias, D., de By, R. A., Zurita-Milla, R., Bijker, W., Tolpekin, V. A., Schulthess, U. & Ahmed, Z. U.The use of UAVs for earth observation (2015)In Delft Software Days 2015, 26 October - 6 November 2015, Delft, The Netherlands (pp. s1-s51). Delft University of Technology. Nex, F. C.http://www.itc.nl/library/papers_2015/pres/nex_use_ppt.pdfIQPC 2015 track : tree separation and classification in mobile mapping Lidar data (2015)In ISPRS Archives Volume XL-3/W3 : proceedings of ISPRS Geospatial week 2015, 28 September - 3 October 2015, La Grande Motte, France (pp. 607-612). International Society for Photogrammetry and Remote Sensing (ISPRS). Gorte, B., Oude Elberink, S., Sirmacek, B. & Wang, J.https://doi.org/10.5194/isprsarchives-XL-3-W3-607-2015Including risk perception in agents' cognitive decision - making processes: a case of cholera diffusion (2015)In Social simulation 2015, 14-18 September 2015, Groningen, Netherlands. Abdulkareem, S., Augustijn-Beckers, P., Mustafa, Y. T. & Filatova, T.http://www.itc.nl/library/papers_2015/pres/augustijn_inc_pos.pdfFrom nationwide point clouds to nationwide 3D landscape models (2015)In Proceedings of Photogrammetric Week '15, 7-11 September, Stuttgart, Germany (pp. 247-256). Wichmann. Vosselman, G., Oude Elberink, S. J., Post, M., Stoter, J. E. & Xiong, B.http://www.ifp.uni-stuttgart.de/publications/phowo15/250Vosselman.pdfOblique aerial imagery : a review (2015)In Proceedings of Photogrammetric Week '15, 7-11 September, Stuttgart, Germany (pp. 75-83). Wichmann. Remondino, F. & Gerke, M.http://www.ifp.uni-stuttgart.de/publications/phowo15/090Remondino.pdfIntegrated estimation of seismic physical vulnerability of Tehran using rule based granular computing (2015)In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (pp. 187-193) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). Sheikhian, H., Delavar, M. R. & Stein, A.https://doi.org/10.5194/isprsarchives-XL-3-W3-187-2015Innovations in boundary mapping : Namibia, customary land and UAVs (2015)In Linking land tenure and use for shared prosperity, proceedings of the annual World Bank conference on land and poverty, 23-27 March 2015, Washington DC, United States (pp. 1-22). The World Bank. Mumbone, M., Bennett, R. M., Volkmann, W. & Gerke, M.http://www.itc.nl/library/papers_2015/conf/bennett_inn.pdfUntersuchungen zur Genauigkeitssteigerung von UAV-Bildflügen (2015)In Bridging scales : Skalenübergreifende Nah- und Fernerkundungsmethoden : Proceedings of 35. Wissenschaftlich-Technische Jahrestagung der DGPF, 16-18 March 2015, Cologne, Germany (pp. 45-54). Deutschen Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation. Przybilla, H. J., Reuber, C., Baumker, M. & Gerke, M.http://www.dgpf.de/src/tagung/jt2015/proceedings/papers/06_DGPF2015_Przybilla_et_al.pdfAir quality mapping at continental and city scales : invited presentation (2015)In University of Hyderabad, invited presentation. 13 April 2015, Hyderabad, India. (pp. s1-s57). Hamm, N. A. S.Grammar-supported 3D indoor reconstruction from point clouds for 'as-built' BIM (2015)In PIA15+HRIGI15 : Joint ISPRS conference proceedings, 25-27 March 2015, Munich, Germany. ISPRS Archives, Vol XL-3/W2. : open access. ISPRS, 2015 (pp. 17-24). International Society for Photogrammetry and Remote Sensing (ISPRS). Becker, S., Peter, M. S. & Fritsch, D.https://doi.org/10.5194/isprsannals-II-3-W4-17-2015Segmentation of UAV - based images incorporating 3D point cloud information (2015)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Science: PIA15+HRIGI15: Joint ISPRS conference, 25-27 March, 2015, Munich, Germany (pp. 261-268). International Society for Photogrammetry and Remote Sensing (ISPRS). Vetrivel, A., Gerke, M., Kerle, N. & Vosselman, G.https://doi.org/10.5194/isprsarchives-XL-3-W2-261-2015
Other
Combining hyperspectral RPA and multispectral satellite imagery to increase spectral-temporal detail for precision agriculture applications : powerpoint (2015)[Contribution to conference › Other]. Kooistra, L., Gevaert, C. M., Nurhayati, R. & Suomalainen, J.https://www.itc.nl/library/papers_2015/pres/gevaert_com_ppt.pdfInformal settlement mapping with UAV : powerpoint (2015)[Contribution to conference › Other] ESRI Africa user conference. Gevaert, C. M., Sliuzas, R. V., Persello, C. & Vosselman, G.
Paper
Housing markets and economic choices under uncertainty: exploring non-linear market dynamics in a spatial agent-based model (2015)[Contribution to conference › Paper] 20th Workshop on the Economic Science with Heterogeneous Interacting Agents, WEHIA 2015. Filatova, T., Lee, J. S. & Naimi, N.
PhD Thesis - Research UT, graduation UT
Identifying and classifying slum areas using remote sensing (2015)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Kohli, D.https://doi.org/10.3990/1.9789036540087Classification and change detection in multi - epoch airborne laser scanning point clouds (2015)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Xu, S.https://doi.org/10.3990/1.9789036538350On uncertainty in species distribution modelling (2015)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Naimi, N.https://doi.org/10.3990/1.9789036538404
Poster
STARS : Monitoring smallholder farming in sub-Saharan Africa and South Asia from an UAV perspective (2015)[Contribution to conference › Poster] 9th EARSeL SIG Imaging Spectroscopy Workshop 2015. de By, R. A., Zurita-Milla, R., Stratoulias, D., Bijker, W., Tolpekin, V. A., Traore, P. C. S., Schulthess, U., Dempewolf, J., Becker-Reshef, I. & Blaes, X.http://www.itc.nl/library/papers_2015/pres/deby_sta_pos.pdfAutomatic building extraction from UAV data : poster (2015)[Contribution to conference › Poster] GeoTech Rwanda: International Conference on Geospatial Technologies for Sustainable Urban and Rural Development 2015. Gevaert, C. M., Persello, C., Vosselman, G. & Sliuzas, R. V.http://www.itc.nl/library/papers_2015/pres/sliuzas_aut_pos.pdf
Web publication/site
Non-separable dynamic nearest-neighbor gaussian process models for large spatio-temporal data with an application to particulate matter analysis (2015)[Non-textual form › Web publication/site]. ArXiv.org. Datta, A., Banerjee, S., Finley, A. O., Hamm, N. A. S. & Schaap, A.http://arxiv.org/abs/1510.07130Drawing Boundaries with UAV Mapping: Customary Lands in Namibia (2015)[Non-textual form › Web publication/site]. Gerke, M., Mumbone, M., Bennett, R. H. & Volkmann, W.http://blog.pix4d.com/post/119443207591/drawing-boundaries-with-uav-mapping-customaryAutomatic Semantic Labelling of Urban Areas using a rule-based approach and realized with MeVisLab (2015)[Non-textual form › Web publication/site]. Research Gate. Speldekamp, T., Fries, C., Gevaert, C. M. & Gerke, M.https://doi.org/10.13140/RG.2.1.3345.0408
2014
Abstract
Urban structural damage assessment with oblique UAV imagery, object-based image analysis and semantic reasoning (2014)[Contribution to conference › Abstract]. Kerle, N., Fernandez Galarreta, J. & Gerke, M.Effect of slope gradient on tree - top detection using LiDAR data (2014)[Contribution to conference › Abstract] International Workshop 3D Vegetation Mapping Using Advanced Remote Sensing 2014. Khosravipour, A., Skidmore, A. K., Wang, T., Isenburg, M. & Khoshelham, K.Status of airborne oblique imaging : EuroSDR commission I project Oblique Imagery : keynote (2014)[Contribution to conference › Abstract] EuroSDR. Gerke, M.http://www.itc.nl/library/papers_2014/pres/gerke_sta_ppt.pdfRecent developments in laser scanning : powerpoint (2014)[Contribution to conference › Abstract]. Khoshelham, K.http://www.itc.nl/library/papers_2014/pres/khoshelham_rec_ppt.pdf
Article
Adaptive sparse norm and nonlocal total variation methods for image smoothing (2014)Mathematical problems in engineering, 2014. Article 426125. Liu, Q., Xiong, B. & Zhang, M.https://doi.org/10.1155/2014/426125A non-convex gradient fidelity-based variational model for image contrast enhancement (2014)EURASIP journal on advances in signal processing, 2014(1), 1-9. Liu, Q., Liu, J., Xiong, B. & Liang, D.https://doi.org/10.1186/1687-6180-2014-154Where is positional uncertainty a problem for species distribution modelling? (2014)Ecography, 37(2), 191-203. Naimi, N., Hamm, N. A. S., Groen, T. A., Skidmore, A. K. & Toxopeus, A. G.https://doi.org/10.1111/j.1600-0587.2013.00205.xObject-based gully system prediction from medium resolution imagery using Random Forests (2014)Geomorphology, 216, 283-294. Shruthi, R. B. V., Kerle, N., Jetten, V. G. & Stein, A.https://doi.org/10.1016/j.geomorph.2014.04.006A graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds (2014)ISPRS journal of photogrammetry and remote sensing, 93, 227-242. Xiong, B., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.1016/j.isprsjprs.2014.01.007Spatial heterogeneity and temporal stability of throughfall under individual Quercus brantii trees (2014)Hydrological processes, 28(3), 1124-1136. Fathizadeh, O., Attarod, P., Keim, R. F., Stein, A., Amiri, G. Z. & Darvishsefat, A. A.https://doi.org/10.1002/hyp.v28.3Land administration for housing production : analysis of need for interagency integration (2014)Survey review, 46(334), 66-75. Agunbiade, M. E., Rajabifard, A. & Bennett, R. M.https://doi.org/10.1179/1752270613Y.0000000062Results of the ISPRS benchmark on urban object detection and 3D building reconstruction (2014)ISPRS journal of photogrammetry and remote sensing, 93, 256-271. Rottensteiner, F., Sohn, G., Gerke, M., Wegner, J. D., Breitkopf, U. & Jung, J.https://doi.org/10.1016/j.isprsjprs.2013.10.004Theme section : urban object detection and 3D building recnostruction : editorial (2014)ISPRS journal of photogrammetry and remote sensing, 93, 143-144. Rottensteiner, F., Sohn, G., Gerke, M. & Wegner, J. D.https://doi.org/10.1016/j.isprsjprs.2014.04.009Assessment of recent temperature trends in Mangla watershed (2014)Journal of Himalayan earth sciences, 47(1), -. Yaseen, M., Rientjes, T. H. M., Nabi, G. & Latif, M.http://nceg.upesh.edu.pk/GeologicalBulletin/Vol-47%281%29-2014/Vol-47%281%29-2014-Paper9.pdfCharacterizing spatial uncertainty when integrating social data in conservation planning (2014)Conservation biology, 28(6), 1497-1511. Lechner, A. M., Raymond, C. M., Adams, V. M., Polyakov, M., Gordon, A., Rhodes, J. R., Mills, M., Stein, A., Ives, C. D. & Lefroy, E. C.https://doi.org/10.1111/cobi.12409CityGML Implementation Specifications for a Countrywide 3D Data Set (2014)Photogrammetric engineering and remote sensing, 80(11), 1069-1077. Stoter, J., Vosselman, G., Dahmen, C., Oude Elberink, S. J. & Ledoux, H.https://doi.org/10.14358/PERS.80.11.1069Current statistical methods for spatial epidemiology : a review (2014)Austin biometrics and biostatistics, 1(2). Article 7. Osei, F. B.http://austinpublishinggroup.com/biometrics/fulltext/biometrics-v1-id1009.phpDetection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 Data (2014)Remote sensing, 6(4), 3188-3209. Salati, S., van Ruitenbeek, F. J. A., van der Meer, F. D. & Naimi, N.https://doi.org/10.3390/rs6043188Detection of built-up area in optical and synthetic aperture radar images using conditional random fields (2014)Journal of applied remote sensing, 8(1), -. Article 083672. Kenuiywo, B. K., Tolpekin, V. A. & Stein, A.https://doi.org/10.1117/1.JRS.8.083672Editorial "Revealing intricacies in spatial and spatio-temporal data: Papers from the Spatial Statistics 2013 Conference" (2014)Spatial statistics, 9, 1-3. Griffith, D. A., Stehman, S. V. & Stein, A.https://doi.org/10.1016/j.spasta.2014.04.002Identifying curvature of overpass mountain roads in Iran from high spatial resolution remote sensing data (2014)International Journal of Applied Earth Observation and Geoinformation (JAG), 26, 21-25. Alian, S., Tolpekin, V. A., Bijker, W. & Kumar, L.https://doi.org/10.1016/j.jag.2013.05.002Image-based particle filtering for navigation in a semi-structured agricultural environment (2014)Biosystems engineering, 121, 85-95. Hiremath, S., van Evert, F. K., ter Braak, C. J. F., Stein, A. & van der Heijden, G.https://doi.org/10.1016/j.biosystemseng.2014.02.010Improvement of spatio-temporal growth estimates in heterogeneous forests using Gaussian Bayesian networks (2014)IEEE transactions on geoscience and remote sensing, 52(8), 4980-4991. Mustafa, Y. T., Tolpekin, V. A. & Stein, A.https://doi.org/10.1109/TGRS.2013.2286219Investigating rural poverty and marginality in Burkina Faso using remote sensing-based products (2014)International Journal of Applied Earth Observation and Geoinformation (JAG), 26, 322-334. Imran, M., Stein, A. & Zurita-Milla, R.https://doi.org/10.1016/j.jag.2013.08.012Laser range finder model for autonomous navigation of a robot in a maize field using a particle filter (2014)Computers and electronics in agriculture, 100, 41-50. Hiremath, S. A., van der Heijden, G. W. A. M., van Evert, F. K., Stein, A. & ter Braak, C. J. F.https://doi.org/10.1016/j.compag.2013.10.005Minimal camera networks for 3D image based modeling of cultural heritage objects (2014)Sensors (Switzerland), 14(4), 5785-5804. Alsadik, B., Gerke, M., Vosselman, G., Daham, A. & Jasim, L.https://doi.org/10.3390/s140405785Multiple-entity based classification of airborne laser scanning data in urban areas (2014)ISPRS journal of photogrammetry and remote sensing, 88, 1-15. Xu, S., Vosselman, G. & Oude Elberink, S. J.https://doi.org/10.1016/j.isprsjprs.2013.11.008Oblique airborne photogrammetry: automatic building detection and verification (2014)GIM International, 28(3), 23-25. Gerke, M., Xiao, J. & Nyaruhuma, A. P.Oblique airborne photogrammetry : properties, configurations and applications (2014)GIM International, 28(1), 18-21. Gerke, M., Slagboom, Y. & Vosselman, G.http://www.gim-international.com/issues/articles/id2060-Oblique_Airborne_Photogrammetry.htmlOblique airborne photogrammetry : users' and vendors' views : EuroSDR Survey (2014)GIM International, 28(12), 17-19. Gerke, M. & Remondino, F.Short-term associations between accumulated rainfall and atmospheric moisture during landfall of three Atlantic hurricanes (2014)Geographical Bulletin - Gamma Theta Upsilon, 55(1), 49-62. Jia, P., Joyner, A. & Sun, Y.http://www.gammathetaupsilon.org/the-geographical-bulletin/2010s/volume55-1/article4.pdfSpatio-Temporal Assessment of Tuz Gölü, Turkey as a Potential Radiometric Vicarious Calibration Site (2014)Remote sensing, 6(3), 2494-2513. Odongo, V. O., Hamm, N. A. S. & Milton, E. J.https://doi.org/10.3390/rs6032494Variance-based sensitivity analysis of BIOME-BGC for gross and net primary production (2014)Ecological modelling, 292(1), 26-36. Raj, R., Hamm, N. A. S., van der Tol, C. & Stein, A.https://doi.org/10.1016/j.ecolmodel.2014.08.012
Book
Development of evacuation routes and determination of shelter accessibility using high resolution satellite imagery : under the project Spatial data management and identification of the most vulnerable schools and shelters in Dominica (2014)[Book/Report › Book]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Bijker, W. & Augustijn-Beckers, P.
Book editing
Revealing intricacies in spatial and spatio-temporal data : papers from the Spatial Statistics 2013 conference (2014)[Book/Report › Book editing]. Elsevier. Griffith, D. A., Stehman, S. V. & Stein, A.http://www.sciencedirect.com/science/journal/22116753/9
Book/Film/Article review
Spatial Mathematics, Theory and Practice through Mapping, S.L. Arlinghaus, J.J. Kerski, CRC Press/Taylor & Francis, London (2013), 300 pp. ISBN: 978-1-4665-0532-2 (2014)International Journal of Applied Earth Observation and Geoinformation (JAG), 33, 342-342. Stein, A.https://doi.org/10.1016/j.jag.2014.06.014
Chapter
Building modeling from noisy prhotogrammetric point clouds (2014)In Annals of the Photogrammetry, Remote Sensing and Spatial Information Science, peer reviewed annals Vol. II-3, 2013, ISPRS technical Commission III, Symposium, 5-7 september, 2014, Zurich, Switserland (pp. 8 p.-). International Society for Photogrammetry and Remote Sensing (ISPRS). Xiong, B., Oude Elberink, S. J. & Vosselman, G.http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3/197/2014/isprsannals-II-3-197-2014.htmlA novel & practical approach to structural health monitoring — The RECONASS vision : local positioning, sensor networks, secure communications and remote sensing at the service of structural monitoring to assess construction damage and related needs (2014)In Proceedings of the 2014 IEEE workshop on environmental energy and structural monitoring systems (EESMS), 17-18 September 2014, Naples, Italy. Sdongos, E., Tsertou, A., Georgakopoulos, N., Loupos, K., Amditis, A., Joram, N., Ellinger, F., Lindner, B., Edwan, E., Ehlerding, A., Camarinopoulos, S., Kallidromitis, V., Bairaktaris, D., Bairaktaris, E., Naudrap, J., Kerle, N., Gerke, M., Vierhus-Schloms, K. & Markus, M.https://doi.org/10.1109/EESMS.2014.6923261Building modeling from noisy photogrammetric point clouds (2014)In Annals of the Photogrammetry, Remote Sensing and Spatial Information Science: ISPRS technical Commission III, Symposium, 5-7 september, 2014, Zurich, Switserland (pp. 197-204). International Society for Photogrammetry and Remote Sensing (ISPRS). Xiong, B., Oude Elberink, S. J. & Vosselman, G.https://doi.org/10.5194/isprsannals-II-3-197-2014Design of an indoor mapping system using three 2D laser scanners and 6 DOF SLAM (2014)In Annals of the Photogrammetry, Remote Sensing and Spatial Information Science, peer reviewed annals Vol. II-3, 2013, ISPRS technical Commission III, Symposium, 5-7 september, 2014, Zurich, Switserland.: open access<