Education
You plan to focus on Earth Observation?
Here you find all information needed to structure your studies with a focus on Earth Observation: course descriptions, and good practice examples of theses or MAPs from previous courses.
News
Landsat uncovers a 73 % drop in grazing pressure in Kazakhstan
Landsat uncovers a 73 % drop in grazing pressure in KazakhstanWe developed a new methodology to quantify grazing footprint using all available Landsat imagery and a random forest classifier. Our novel index of grazing pressure correlated well with field-based grazing indicators such as number of dung piles and biomass. We produced annual grazing pressure maps for northern Kazakhstan from 1985 to 2017. The spatial footprint of heavy grazing decreased by >70% after the collapse of the Soviet Union. Read the full paper here.
Visualizing and labeling dense multi-sensor Earth observation time series
Visualizing and labeling dense multi-sensor Earth observation time seriesWe developed the EO Time Series Viewer, a QGIS plugin for user-friendly visualization, interpretation and labeling of multi-sensor time series data. The EO Time Series Viewer is open source and can be installed via the official QGIS Plugin repository. Read more about its capabilities, visualization- and labeling concepts in this article.
How to correct for brightness gradients in hyperspectral image mosaics
How to correct for brightness gradients in hyperspectral image mosaicsWe produced an analysis ready EnMAP image for regional-scale mapping in the SF Bay Area. Secondary geometric alignment and brightness gradient correction were applied to multiple AVIRIS flightlines simulated to resemble spaceborne acquisitions, yielding high quality hyperspectral mosaics. Find out more here.
Landsat reveals a sevenfold increase in burned area caused by land-use change in Kazakhstan
Landsat reveals a sevenfold increase in burned area caused by land-use change in KazakhstanDissolution of the Soviet Union resulted in an unprecedented cropland and grazing abandonment. In our latest research we detected a dramatic intensification of fire regimes since 1990 in northern Kazakhstan using Landsat imagery. This change can be attributed to crop residue burning and agricultural abandonment.
Good practices for large-area cropland mapping
Good practices for large-area cropland mappingWe paired open access algorithms with intra-annual Landsat time series to produce a national-scale map of cropping practices for Turkey. Read the paper and download the map product. You can explore the map here.