The monitoring and mapping of vegetation and land cover is one of the key activities in Earth observation (EO). EO products are pivotal for many geographic and environmental studies. In this module students learn concepts and techniques for analyzing and mapping (vegetated) land cover and its characteristics at various spatial scales and with different sensor systems. Data analysis is fully done in R and students learn to create customized R-scripts along a series of processing tasks throughout the semester.
The module is designed for BSc students who want to deepen and extend their remote sensing skills with regard to theory and application (e.g. to pursue a BSc thesis related to remote sensing or as preparation for MSc studies) as well as to gain problem-driven knowledge in R programming. Participants must have successfully completed Module 6 “Introduction to Geoinformation Science” and Module 7 “Introduction to Remote Sensing” or present equal experience.
The module is fully taught in English language and includes reading of English original articles. Student presentations and written reports may be held in English or German. International students with relevant experience are welcome.
Five selected topics will be explored in detail by students. Each topic involves reading of original literature, new methodologies and data sets, as well as implementation of these methodologies in R. The topics will include:
1) Vegetation characteristics with field and laboratory measurements
2) Quantitative mapping of impervious urban land cover
3) Mapping land cover from multi-seasonal data
4) Mapping biomass from multispectral satellite data and lidar data
5) Mapping vegetation phenology
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