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

Recent Posts

MULTIPLY Fieldcampaigns

A comprehensive field campaign is conducted by the Ludwig-Maximilians-Universität München (LMU) to collect in situ information for the validation of satellite based retrievals of land surface parameters. These measurements will be used within MULTIPLY to validate the retrieval results of the MULTIPLY platform.


“Our campaign will last for the entire vegetation period in 2017 and collects data from a variety of different land cover types and different soil conditions”, says MULTIPLY team member Prof.dr. Alexander Loew.


During the LMU campaign essential characteristics of vegetation and plant conditions are collected, like e.g. information about vegetation biomass and water content as well as the soil moisture content. In addition, ground based measurements of the surface radiation fluxes and spectral properties of the plants are collected. The LMU team goes into the field on a regular basis during COPERNICUS SENTINEL satellite overpasses.


  1. ‘Crop Intelligence System’ tool Leave a reply
  2. Presenting MULTIPLY at the ISSI workshop “Exploring the Earth’s Ecosystems on a Global Scale” Leave a reply