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Mapping Surface Soil Moisture Over the Gourma Mesoscale Site (Mali) by Using Envisat Asar Data : Volume 15, Issue 2 (18/02/2011)

By Baup, F.

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Book Id: WPLBN0003992709
Format Type: PDF Article :
File Size: Pages 14
Reproduction Date: 2015

Title: Mapping Surface Soil Moisture Over the Gourma Mesoscale Site (Mali) by Using Envisat Asar Data : Volume 15, Issue 2 (18/02/2011)  
Author: Baup, F.
Volume: Vol. 15, Issue 2
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Frappart, F., Hiernaux, P., Rosnay, P. D., Mougin, E., Frison, P. L., Zribi, M.,...Viarre, J. (2011). Mapping Surface Soil Moisture Over the Gourma Mesoscale Site (Mali) by Using Envisat Asar Data : Volume 15, Issue 2 (18/02/2011). Retrieved from

Description: CESBIO (Centre d'Etudes Spatiales de la Biosphère, UMR 5126, UPS-CNRS-CNES-IRD), 18 avenue Edouard Belin, 31401 Toulouse cedex 9, France. The potentialities of ENVISAT ASAR (Advanced Synthetic Aperture Radar) multi-angle data for mapping surface soil moisture (SSM) in Sahelian rangelands are investigated at medium scale (30 000 km2). The Wide Swath data are selected to take advantage of their high temporal repetitivity (about 8 days at the considered scale) associated to a moderate spatial resolution (150 m). In the continuity of previous studies conducted at a local scale in the same region, SSM maps are here processed over the whole AMMA Gourma mesoscale site at 1 km resolution scale. Overall, the generated maps are found to be in good agreement with field data, EPSAT-SG (Estimation des Pluies par SATellite – Second Generation) rainfall estimates and ERS (European Remote Sensing) Wind Scatterometer (WSC) SSM products. The present study shows that the spatial pattern of SSM can be realistically estimated at a kilometric scale. The resulting SSM maps are expected to provide valuable information for initialisation of land surface models and the estimation of the spatial distribution of radiative fluxes. Particularly, SSM maps could help to desaggregate low-resolution products such as those derived from WSC data.

Mapping surface soil moisture over the Gourma mesoscale site (Mali) by using ENVISAT ASAR data

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