This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 687320.
Our Horizon 2020 project aims to integrate these different types of data in a MULTIscale SENTINEL land surface information retrieval Platform (MULTIPLY). For both developers of satellite retrieval tools and for anyone who wants better access to land surface products.
1-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.
2-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.
3-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.
4-To derive and validate, within the same platform, indicators of functional biodiversity and disturbance to enhance further development of Copernicus land surface products
-Ludwig-Maximilians Universität München
-University College London
-Brockmann Consult GmbH
Start date: 1 October 2016 - End date: 30 September 2021