Founding offer · lifetime membership for a single £24, exclusive to our first members · closes 20 June Claim your place →
Global Research Partnerships £24 Lifetime Log inCreate free account

Funded Projects › FP7

TRANSFORM-EO · Towards the opeRAtioNal Surface Fluxes and sOil Moisture Retrievals from Earth Observation data

FP7Status: CLOSED1 May 201330 April 2017EU funding €100,000

Remote sensing provides the only viable solution for obtaining estimates of both surface fluxes and soil moisture content (SMC) at the spatiotemporal scales and accuracy levels required by many applications. Despite the wide range of methods available and the recognition by the space agencies globally for the necessity in estimating those parameters, global operational mapping of the above parameters from remote sensing is lacking or is underdeveloped, particularly so in Europe. Generally, these methods vary including also methods based on the information derived from a scatterplot developed between satellite-derived vegetation index (VI) and surface radiometric temperature (Ts) measures. The latter group also includes some approaches based on the combined use of a Ts/VI scatterplot with simulations from a biosphere model, specifically a Soil Vegetation Atmosphere Transfer (SVAT) model, the so-called “triangle” method. The operational potential capability of the technique is seen and by the fact that variants of it are currently investigated in deriving operational products by Space agencies in both Europe (ESA) and United States (NPOESS).In TRANSFOrM-EO, recognising the gap that currently exists in the operational retrieval of both surface heat fluxes and Mo from remote sensing sensors as well as the strong relevance of the so-called Ts/VI-based “triangle” method to a number of key efforts ongoing for the operational retrieval of those parameters, we propose to develop a fundamental understanding of the ability of the “triangle” in deriving LE/H fluxes as well as of SMC. In addition, we aim to provide a first investigation of the ability of the technique in deriving the above parameters when using advanced technologically remote sensing sensors, specifically the EUMETSAT SEVIRI radiometer on-board the recently launched MSG-3 platform as well as of the GMES Sentinels 2 and 3 that have already been planned to be launched in 2013/2014.

Consortium · 1 organisation

coordinator

ABERYSTWYTH UNIVERSITY

UK · €100,000

Research fields

View the official record on CORDIS →

← Find collaborators and more funded projects

Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.