MULTIscale SENTINEL land surface information retrieval Platform
With the start of the SENTINEL era, an unprecedented amount of Earth Observation (EO) data will become available.
MULTIPLY will develop an efficient and fully traceable platform that uses state-of-the-art physical radiative transfer models, within advanced data assimilation (DA) concepts, to consistently acquire, interpret and produce a continuous stream of high
spatial and temporal resolution estimates of land surface parameters, fully characterized. These inferences on the state of the land surface will be the result from the coherent joint interpretation of the observations from the different Sentinels, as well as other third party missions (e.g. ProbaV, Landsat, MODIS). The framework allows users to exchange components as plug-ins according to their needs.
The project is based on the EO-LDAS concepts developed within several ESA-funded projects, which have shown the feasibility of producing estimates of the land surface parameters by combining different sets of observations through the use of radiative transfer models.
We will provide a fully generic flexible data retrieval platform for Copernicus services that provides integrated and consistent data products in an easily accessible virtual machine with advanced visualisation tools.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 687320
MULTIPLY Logo: © Lauran van Oers