Remote Sensing Data Inventory v1.0

This task will focus on providing a set of quantitative spatial explicit indicators (e.g., bare soil reflectance composites, physico-chemical soil properties, statistics about soil exposure, etc.) able to support the description of surface state of the differentland uses, with associated uncertainty maps, that can be ingested directly into the bio-geochemical modelling analysis. The task will further build on top of past research done within WORLDSOILS project and it will exploit Copernicus data (Sentinel data) and Copernicus Contributing Missions (EnMAP, DESIS, PRISMA) data. Novel computational intelligence sensors (e.g. UAV, LIDAR) and methodologies will be also deployed to i) directly enhance the AI models; and ii) development of new data product based on a limited number of ground truth data.