Developing interpretation and monitoring tools for the understanding and the conservation of natural environments
National scale maps with 17 (2016,17) and 23 (2018) class nomenclature, spatial resolution between 10 m (raster) and 20 m (vector), annual update frequency.
Map vegetation biophysical variables on a global scale.
Detecting the presence of snow cover, on a continuous, large-scale basis.
Developing transmission risk maps for the various infectious diseases, vector-borne or otherwise, using Earth Observation data.
Developing L2 and L3 level atmospheric correction tools for Sentinel-2, Landsat-8 and Venµs images.
Understanding landscape patterns for efficient and sustainable management and planning
Defining and developing automatic algorithms for the production of land use maps based on satellite imagery
Providing early mapping of the contours and intensity of forest fires, interface fires and vegetation damage to land managers and firefighting services.
Improving the mapping and the monitoring of biodiversity indicators