Aim
In this seminar, we cover most aspects of remote sensing based assessment of Land Surface Dynamics. Topics such as snow cover dynamics, water body dynamics, forest cover and further vegetation dynamics, urbanization dynamics, coastal dynamics, or dynamics of geophysical parameters such as land surface temperature or selected indices will be addressed. In this contexts we look at opportunities arising from optical-, multi-spectral- and radar sensors, as well as thermal imagery. Data availability and access, as well as typical software tools for the handling of multispectral data or time-series analyses will be addressed as well. The course will consist of a theoretical part and a practical part, where the theory consists of a seminar (written seminar and presentation on a topic to be chosen from a list of available topics), and where the practical will consist of data processing examples.
Content
Topics cover most aspects of remote sensing based assessment of Land Surface Dynamics. Topics such as snow cover dynamics, water body dynamics, forest cover and further vegetation dynamics, urbanization dynamics, coastal dynamics, or dynamics of geophysical parameters such as land surface temperature or selected indices will be addressed. We adress questions such as climate change induced shifts of snow or rainy seasons, look at patterns of forest loss and degradation over time, analyze urbanization patterns and impacts of these processes on the natural environment, and assess changes in coastal morphology. Sensors in focus will be the ones allowing for long time series analyses, such as AVHRR, MODIS, ENVISAT, Landsat, TerraSAR-X, and the Sentinel Satellites.
Coding
Software
Techniques
Content
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