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SCOPE version 1.0:

Van der Tol, C., Verhoef, W., Timmermans, J., Verhoef, A., & Su, Z. (2009). An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance. Biogeosciences, 6(12). https://doi.org/10.5194/bg-6-3109-2009

TVR model:

Van der Tol, C., Verhoef, W., & Rosema, A. (2009). A model for chlorophyll fluorescence and photosynthesis at leaf scale. Agricultural and forest meteorology, 149(1), 96-105. https://doi.org/10.1016/j.agrformet.2008.07.007[YP(1] 

Kn = f(x) model:

Van der Tol, C., Berry, J. A., Campbell, P. K. E., & Rascher, U. (2014). Models of fluorescence and photosynthesis for interpreting measurements of solar‐induced chlorophyll fluorescence. Journal of Geophysical Research: Biogeosciences, 119(12), 2312-2327.  https://doi.org/10.1002/2014JG002713

SCOPEv1.70:

van der Tol, C., Vilfan, N., Dauwe, D., Cendrero-Mateo, M. P., & Yang, P. (2019). The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE. Remote sensing of environment, 232, 111292. https://doi.org/10.1016/j.rse.2019.111292

van der Tol, C., Vilfan, N., Yang, P., Bayat, B., & Verhoef, W. (2018, July). Modeling reflectance, fluorescence and photosynthesis: Development of the SCOP model. In IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 5968-5971). IEEE. 10.1109/IGARSS.2018.8517517

Fluspect:

Vilfan, N., Van der Tol, C., Muller, O., Rascher, U., & Verhoef, W. (2016). Fluspect-B: A model for leaf fluorescence, reflectance and transmittance spectra. Remote Sensing of Environment, 186, 596-615. https://doi.org/10.1016/j.rse.2016.09.017

Vilfan, N., Van der Tol, C., Yang, P., Wyber, R., Malenovský, Z., Robinson, S. A., & Verhoef, W. (2018). Extending Fluspect to simulate xanthophyll driven leaf reflectance dynamics. Remote sensing of environment, 211, 345-356. https://doi.org/10.1016/j.rse.2018.04.012

mSCOPE and Unified 4stream:

Yang, P., Verhoef, W., & van der Tol, C. (2017). The mSCOPE model: A simple adaptation to the SCOPE model to describe reflectance, fluorescence and photosynthesis of vertically heterogeneous canopies. Remote sensing of environment, 201, 1-11. https://doi.org/10.1016/j.rse.2017.08.029

SPART and BSM:

Yang, P., van der Tol, C., Yin, T., & Verhoef, W. (2020). The SPART model: A soil-plant-atmosphere radiative transfer model for satellite measurements in the solar spectrum. Remote Sensing of Environment, 247, 111870. https://doi.org/10.1016/j.rse.2020.111870

Overview papers on whole-stand solar induced fluorescence (SIF)

Porcar-Castell, A., Tyystjärvi, E., Atherton, J., Van der Tol, C., Flexas, J., Pfündel, E. E., ... & Berry, J. A. (2014). Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. Journal of experimental botany, 65(15), 4065-4095.

Mohammed, G. H., Colombo, R., Middleton, E. M., Rascher, U., van der Tol, C., Nedbal, L., ... & Joiner, J. (2019). Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. Remote sensing of environment, 231, 111177.

Model branches

Bayat, B., van der Tol, C., Yang, P., & Verhoef, W. (2019). Extending the SCOPE model to combine optical reflectance and soil moisture observations for remote sensing of ecosystem functioning under water stress conditions. Remote sensing of environment, 221, 286-301.

Pacheco-Labrador, J., El-Madany, T. S., Van Der Tol, C., Martín, M. P., Gonzalez-Cascon, R., Perez-Priego, O., ... & Migliavacca, M. (2020). senSCOPE: Modeling radiative transfer and biochemical processes in mixed canopies combining green and senescent leaves with SCOPE. BioRxiv.

Model applications

  1. Duffour, C., Olioso, A., Demarty, J., Van der Tol, C., & Lagouarde, J. P. (2015). An evaluation of SCOPE: A tool to simulate the directional anisotropy of satellite-measured surface temperatures. Remote sensing of environment, 158, 362-375.
  2. Verrelst, J., Rivera, J. P., van der Tol, C., Magnani, F., Mohammed, G., & Moreno, J. (2015). Global sensitivity analysis of the SCOPE model: what drives simulated canopy-leaving sun-induced fluorescence?. Remote Sensing of Environment, 166, 8-21.
  3. Verrelst, J., van der Tol, C., Magnani, F., Sabater, N., Rivera, J. P., Mohammed, G., & Moreno, J. (2016). Evaluating the predictive power of sun-induced chlorophyll fluorescence to estimate net photosynthesis of vegetation canopies: A SCOPE modeling study. Remote Sensing of Environment, 176, 139-151.
  4. Pacheco-Labrador, J., Perez-Priego, O., El-Madany, T. S., Julitta, T., Rossini, M., Guan, J., ... & Kolle, O. (2019). Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits. Remote Sensing of Environment, 234, 111362.
  5. Timmermans, J., Su, Z., Van der Tol, C., Verhoef, A., & Verhoef, W. (2013). Quantifying the uncertainty in estimates of surface-atmosphere fluxes through joint evaluation of the SEBS and SCOPE models. Hydrology & Earth System Sciences, 17(4).
  6. Bayat, B., van der Tol, C., & Verhoef, W. (2018). Integrating satellite optical and thermal infrared observations for improving daily ecosystem functioning estimations during a drought episode. Remote sensing of environment, 209, 375-394.
  7. Timmermans, J., Van Der Tol, C., Verhoef, A., Verhoef, W., Su, Z., Van Helvoirt, M., & Wang, L. (2011). Quantifying the uncertainty in estimates of surface-atmosphere fluxes through joint evaluation of the SEBS and SCOPE models. Hydrology & Earth System Sciences Discussions, 8(2).
  8. Migliavacca, M., Perez‐Priego, O., Rossini, M., El‐Madany, T. S., Moreno, G., van der Tol, C., ... & Carrara, A. (2017). Plant functional traits and canopy structure control the relationship between photosynthetic CO 2 uptake and far‐red sun‐induced fluorescence in a Mediterranean grassland under different nutrient availability. New Phytologist, 214(3), 1078-1091.
  9. Yang, P., & van der Tol, C. (2018). Linking canopy scattering of far-red sun-induced chlorophyll fluorescence with reflectance. Remote sensing of environment, 209, 456-467.
  10. Dutta, D., Schimel, D. S., Sun, Y., van der Tol, C., & Frankenberg, C. (2019). Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes. Biogeosciences, 16(1), 77-103.
  11. Lee, J. E., Berry, J. A., van der Tol, C., Yang, X., Guanter, L., Damm, A., ... & Frankenberg, C. (2015). Simulations of chlorophyll fluorescence incorporated into the C ommunity L and M odel version 4. Global change biology, 21(9), 3469-3477.
  12. van der Tol, C., Rossini, M., Cogliati, S., Verhoef, W., Colombo, R., Rascher, U., & Mohammed, G. (2016). A model and measurement comparison of diurnal cycles of sun-induced chlorophyll fluorescence of crops. Remote sensing of environment, 186, 663-677.
  13. Prikaziuk, E., & van der Tol, C. (2019). Global sensitivity analysis of the SCOPE model in Sentinel-3 Bands: Thermal domain focus. Remote sensing, 11(20), 2424.
  14. Wolanin, A., Camps-Valls, G., Gómez-Chova, L., Mateo-García, G., van der Tol, C., Zhang, Y., & Guanter, L. (2019). Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations. Remote Sensing of Environment, 225, 441-457.
  15. Rossini, M., Meroni, M., Celesti, M., Cogliati, S., Julitta, T., Panigada, C., ... & Colombo, R. (2016). Analysis of red and far-red sun-induced chlorophyll fluorescence and their ratio in different canopies based on observed and modeled data. Remote Sensing, 8(5), 412.
  16. Zhang, Y., Xiao, X., Zhang, Y., Wolf, S., Zhou, S., Joiner, J., ... & Paul-Limoges, E. (2018). On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals. Remote sensing of environment, 205, 276-289.
  17. Damm, A., Guanter, L., Paul-Limoges, E., Van der Tol, C., Hueni, A., Buchmann, N., ... & Schaepman, M. E. (2015). Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: An assessment based on observational and modeling approaches. Remote Sensing of Environment, 166, 91-105.
  18. Thum, T., Zaehle, S., Köhler, P., Aalto, T., Aurela, M., Guanter, L., ... & Tol, C. V. D. (2017). Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe. Biogeosciences, 14(7), 1969-1987.
  19. Zhang, Y., Guanter, L., Berry, J. A., Joiner, J., van der Tol, C., Huete, A., ... & Köhler, P. (2014). Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models. Global change biology, 20(12), 3727-3742.
  20. Celesti, M., van der Tol, C., Cogliati, S., Panigada, C., Yang, P., Pinto, F., ... & Rossini, M. (2018). Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion. Remote sensing of environment, 215, 97-108.
  21. Verrelst, J., Rivera, J. P., van der Tol, C., Magnani, F., Mohammed, G., & Moreno, J. (2014, June). Global sensitivity Analysis of the A-SCOPE model in support of future FLEX fluorescence retrievals. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) (pp. 1-4). IEEE.
  22. Norton, A. J., Rayner, P. J., Koffi, E. N., & Scholze, M. (2018). Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1. 0: model description and information content.
  23. Zhang, Y., Guanter, L., Berry, J. A., van der Tol, C., & Joiner, J. (2016, July). Can we retrieve vegetation photosynthetic capacity paramter from solar-induced fluorescence?. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1711-1713). IEEE.
  24. Yang, P., van der Tol, C., Verhoef, W., Damm, A., Schickling, A., Kraska, T., ... & Rascher, U. (2019). Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence. Remote sensing of environment, 231, 110996.
  25. Lee, J. E., Frankenberg, C., van der Tol, C., Berry, J. A., Guanter, L., Boyce, C. K., ... & Badgley, G. (2013). Forest productivity and water stress in Amazonia: Observations from GOSAT chlorophyll fluorescence. Proceedings of the Royal Society B: Biological Sciences, 280(1761), 20130171.
  26. Verrelst, J., Rivera Caicedo, J. P., Muñoz-Marí, J., Camps-Valls, G., & Moreno, J. (2017). SCOPE-based emulators for fast generation of synthetic canopy reflectance and sun-induced fluorescence Spectra. Remote Sensing, 9(9), 927.
  27. Bayat, B., van der Tol, C., Yang, P., Montzka, C., Vereecken, H., & Verhoef, W. (2020, May). Integrating soil moisture in SCOPE model for improving remote sensing of evapotranspiration and photosynthesis under water stress conditions. In EGU General Assembly Conference Abstracts (p. 5658).
  28. Damm, A., Paul-Limoges, E., Haghighi, E., Simmer, C., Morsdorf, F., Schneider, F. D., ... & Rascher, U. (2018). Remote sensing of plant-water relations: An overview and future perspectives. Journal of plant physiology, 227, 3-19.
  29. Norton, A. J., Rayner, P. J., Koffi, E. N., & Scholze, M. (2018). Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1. 0: model description and information content.
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