Remote sensing is an important tool for the analysis of land cover and land use dynamics. Land use and land cover dynamics variables are used within climate and crop models as key information data sets. Land use and land cover pathways can be used to explain climate change effects and anthropogenic trends. From this understanding predictive scenarios regarding climate change effects on cropland dynamics, and visa-versa, can be developed. Unbenannt3The ‘Advanced Remote Sensing’ course enhances the students understanding of mapping and analyzing land surface dynamics using innovative approaches in satellite remote sensing. These approaches are deemed to be relevant to the research agendas of the students.

Software packages such as Erdas Imagine, ENVI, and TiSeG are used to help the students to familiar themselves with the data and this new technology.

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The course was facilitated by the Remote Sensing Department of the University of Wurzburg; the lecturers were Dr. Tobias Landmann and Dr. Noellie Rüth. The course outline is seen below.

Part 1: Introduction to Remote Sensing

Part 2: Image analysis

Part 3: Classification II

Part 4: Classification III

Part 5: Change detection

Part 6: Timesat and TiSeG

Part 7: Fire monitoring

Part 8: Tutorial and map presentations

Part 9: Exam

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