Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France

Dominique Courault 1, * A. Bsaibes 1 E. Kpemlie 1 R. Hadria 1 Olivier Hagolle 2 Olivier Marloie 1 J.F. Hanocq 1 Albert Olioso 1 N. Bertrand 1 V. Desfonds 1
* Corresponding author
1 EMMAH - Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes
2 CESBIO - Centre d'études spatiales de la biosphère
Abstract : Water monitoring at the scale of a small agricultural region is a key point to insure a good crop development particularly in South-Eastern France, where extreme climatic conditions result in long dry periods in spring and summer with very sparse precipitation events, corresponding to a crucial period of crop development. Remote sensing with the increasing imagery resolution is a useful tool to provide information on plant water status over various temporal and spatial scales. The current study focussed on assessing the potentialities of FORMOSAT-2 data, characterized by high spatial (8m pixel) and temporal resolutions (1-3 day/time revisit), to improve crop modeling and spatial estimation of the main land properties. Thirty cloud free images were acquired from March to October 2006 over a small region called Crau-Camargue in SE France, while numerous ground measurements were performed simultaneously over various crop types. We have compared two models simulating energy transfers between soil, vegetation and atmosphere: SEBAL and PBLs. Maps of evapotranspiration were analyzed according to the agricultural practices at field scale. These practices were well identified from FORMOSAT-2 images, which provided accurate input surface parameters to the SVAT models.
keyword : FORMOSAT-2 crop monitoring evapotranspiration LAI albedo surface temperature.
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INSU | IRD | INRA | OMP | OMP-CESBIO | AGROPOLIS | UNIV-AVIGNON | UNIV-TLSE3

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Dominique Courault, A. Bsaibes, E. Kpemlie, R. Hadria, Olivier Hagolle, et al.. Assessing the Potentialities of FORMOSAT-2 Data for Water and Crop Monitoring at Small Regional Scale in South-Eastern France. Sensors, MDPI, 2008, 8, pp.3460-3481. ⟨10.3390/s8053460⟩. ⟨ird-00392685⟩

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