The course focuses on up-to-date knowledge and technology in the field of photogrammetry, Remote Sensing (RS) and digital image processing for geo-information extraction and production.
In this course, you will learn the theoretical concepts and practical skills to extract geoinformation in established upcoming techniques and innovative approaches. Besides, you will understand the connection of the acquisition and processing procedures, with the accuracy of the results and its relevancy for various applications.
Managing land use and the Earth’s resources and facing global challenges is becoming increasingly important due to the rising world population, economic growth, environmental degradation, and climate change, among others.
The use of available, up-to-date, accurate and well-structured geoinformation is essential for applying various applications and utilizing the data to face global challenges and reach optimal solutions. Thus, planners, resources managers and application scientists now make considerable use of frequently acquired high and medium resolutions of multispectral images and other data structures such as 3D point clouds. Multispectral images are captured from various spaceborne and airborne sensors, as well as innovative platforms such as drones, and 3D point clouds can be acquired with modern techniques such as laser scanners.
Thus, it is essential to train the staff to extract both thematic and 3D geoinformation from different sensors or scanners in automated and semi-automated processing environments which are continuously under development.
- Staff from government agencies and private companies who have practical professional experience in remote sensing and/or photogrammetry and who wish to become familiar with state-of-the-art knowledge and technology.
- GIS specialists who make regular use of digitally acquired spatial reference data are interested in the source and accuracy of these data.
- Staff and researchers from non-geo disciplines who want to employ geoinformation in their research or work would also significantly benefit from this course.
The course is structured in 4 sequential modules of 3 weeks each. The first two modules are concentrated on Remote sensing topics and the last two on photogrammetric topics. Learning outcomes are defined per module and evaluated progressively at the end of each one.
Upon completion of the RS modules, you will be able to:
- Select appropriate sensors and image data for geospatial problem solving
- Apply relevant contrast enhancement for visual and digital image analysis
- Apply spatial and temporal filters to improve image data for visual and digital image analysis
- Calculate indices and ratios for digital image analysis
- Apply different strategies for generating training and validation samples for supervised machine learning classifiers
- Apply various feature selection methods for data dimensionality reduction purposes
- Summarize the main multi-temporal image analysis steps
- Apply Random Forest classifier to classify both single-date and multi-temporal images
- Critically interpret the classification results obtained by applying supervised machine learning classifiers
Upon completion of the photogrammetry modules, you will be able to:
- Describe the UAV properties and classifications and distinguish the two main mapping applications
- Describe the sensor system properties, output data quality and applications for EO sensors with a focus on laser scanner and mobile mapping systems
- Explain 3D point cloud properties and data quality generated by a laser scanner, and apply basic processing methods on the 3D point clouds dataset for mapping applications
- Differentiate the quality of the positional control and define appropriate required positional accuracies for various applications
- Design flight planning for a specific application
- Understand image orientation procedures (direct and indirect) with a focus on digital aerial images.
- Apply image orientation procedures, point cloud and orthophoto generation procedures, and feature extraction procedures on drone images using the designated software.
- Process aerial oblique images (image orientation, point cloud, orthophoto generation) using the designated software
- Process the multispectral drone images using the designated software.
- Assess the quality of all the procedures mentioned above and the produced data.
Upon successful completion of this course, you will receive a Certificate which will include the name of the course.
Along with your Certificate you will receive a Course Record providing the name, and if applicable, all the subjects studied as part of the course. It states: the course code, subject, exam date, location and the mark awarded.
Academic level and background
Applicants for this certificate course should have completed their secondary education in a discipline related to the course specialization and have at least three years of relevant practical experience.
The faculty accepts transcripts, degrees and diplomas in the following languages: Dutch, English, German, French and Spanish. It is at the discretion of the faculty to require additional English translations of all documents in other languages as well.
As all courses are given in English, proficiency in the English language is a prerequisite.
If you are a national of one of the countries in this list (PDF), you are exempted from an English language test.
Please note: the requirements when applying for fellowships may vary according to the regulations of the fellowship provider.
English language tests: minimum requirements
Only internationally recognized test results are accepted.
TOEFL Paper-based Test (PBT)
TOEFL Internet-based Test
British Council / IELTS
C2 Proficiency / C1 Advanced
If you lack computer experience we strongly advise you to follow basic courses in your home country.