TRANSFORM-EO

Towards the opeRAtioNal Surface Fluxes and sOil Moisture Retrievals from Earth Observation data

 Coordinatore ABERYSTWYTH UNIVERSITY 

 Organization address address: "King Street, Old College"
city: ABERYSTWYTH
postcode: SY232AX

contact info
Titolo: Mr.
Nome: Emyr Huw
Cognome: Reynolds
Email: send email
Telefono: 441971000000

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 100˙000 €
 EC contributo 100˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-CIG
 Funding Scheme MC-CIG
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-05-01   -   2017-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    ABERYSTWYTH UNIVERSITY

 Organization address address: "King Street, Old College"
city: ABERYSTWYTH
postcode: SY232AX

contact info
Titolo: Mr.
Nome: Emyr Huw
Cognome: Reynolds
Email: send email
Telefono: 441971000000

UK (ABERYSTWYTH) coordinator 100˙000.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

soil    vegetation    remote    technique    triangle    model    specifically    ts    surface    retrieval    sensors    above    fluxes    scatterplot    deriving    space    smc    agencies    vi    sensing    ability    launched   

 Obiettivo del progetto (Objective)

'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.'

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