“to develop and enable application of a practical, flexible, user-friendly platform to provide the scientific community with a tool to generate land surface products and its associated uncertainties and exploit these for data-intensive science.”
Main objectives:
- To provide a platform, based on data assimilation principles, that combines and integrates multisensoral data with prior information and radiative transfer models to optimally retrieve satellite information that are gap-free.
- To design the data assimilation platform such that land surface information is fused to deliver a set of internally consistent data products with quantified uncertainties.
- To deliver and validate a new suite of consistent downstream products to characterize the land surface state (e.g. albedo, faPAR, chlorophyll content, effective LAI, leaf or soil moisture, surface roughness) at different spatial (from tens through hundreds of metres up to (sub-national) and temporal (from a few days till multiple years) scales. As such, we aim to deliver in addition to data retrieval, a high-level interpretation of the data.
- To derive and validate, within the same platform, indicators of functional biodiversity and disturbance to enhance further development of Copernicus land surface products
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 687320