The course provides a theoretical background and practical research-based examples of processing time series analysis in remote sensing. It is based on an open e-learning course on Time Series Analysis in Remote Sensing for Understanding Human-Environment Interactions developed by collaboration of research groups from Charles University, Heidelberg University, University of Innsbruck, and University of Warsaw within the ERASMUS+ Strategic partnership project (ID 2020-1-CZ01-KA203-078308).
Last update: Potůčková Markéta, Ing., Ph.D. (12.10.2023)
Literature
All learning materials and references are available from the course homepage.
Last update: Potůčková Markéta, Ing., Ph.D. (12.10.2023)
Requirements to the exam
Active participation at the seminar seasios, passing the wittern examination test.
Last update: Potůčková Markéta, Ing., Ph.D. (12.10.2023)
Syllabus
The course coveres following topics:
Methods of Time Series Analysis in Remote Sensing
Satellite Multispectral Images Time Series Analysis
3D/4D Geographic Point Cloud Time Series Analysis
Airborne Imaging and Laboratory Spectroscopy Time Series Analysis
Form of the course: seminar seassions combined with self study using the e-learning materials.
Last update: Potůčková Markéta, Ing., Ph.D. (12.10.2023)