SEMANTIXCUBE

Long time series of essential climate variables (ECVs) derived from satellite data is an important contribution to climate research. They are a critical, independent source of information for comparison with climate model results, but they can also be used to directly detect and monitor changes in our environment. The Remote Sensing Research Group at the University of Bern's Institute of Geography has compiled and archived the longest European time series (1981-2019) of AVHRR data that has been processed using physical methods and algorithms (e.g., lake surface temperature, snow cover, vegetation dynamics). In SemantiX, this time series will be complemented and expanded using Sentinel-3 A/B data and made accessible in a newly developed EO-midstream technology, a semantic EO data cube. This technology will be linked to a mobile citizen science application giving the public a new, direct and interactive access point to EO data and derived information products... The goal of SemantiX is..