Centre de documentation
scientifique

Soil moisture estimation from ERS-SAR data: toward an operational methodology / Sylvie Le Hégarat-Mascle in IEEE Transactions on geoscience and remote sensing, vol 40 n° 12 (December 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2647 - 2658 Titre : Soil moisture estimation from ERS-SAR data: toward an operational methodology Type de document : Article/Communication Auteurs : Sylvie Le Hégarat-Mascle, Auteur ; Mehrez Zribi, Auteur ; F. Alem, Auteur ; A. Weisse, Auteur ; C. Loumagne, Auteur Année de publication : 2002 Article en page(s) : pp 2647 - 2658 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bassin hydrographique [Termes IGN] étalonnage radiométrique [Termes IGN] humidité du sol [Termes IGN] image ERS-SAR [Termes IGN] image radar [Termes IGN] radar imageur [Termes IGN] réalité de terrain [Termes IGN] surface cultivée [Termes IGN] traitement d'image Résumé : (Auteur) Previous studies have shown the possibility of using European Remote Sensing/Synthetic Aperture Radar (ERS/SAR) data to monitor surface soil moisture from space. The linear relationships between soil moisture and the SAR signal have been derived empirically and, thus, were a priori specific to the considered watershed. In order to overcome this limit, this study focused on two objectives. The first one was to validate over two years of data the empirical sensitivity of the radar signal to soil moisture, in the case of three agricultural watersheds with different soil compositions and land cover uses. The slope of the observed relationship was very consistent. Conversely, the offset could change, making the soil moisture retrieval only relative (and not absolute). The second one was to propose an "operational" methodology for soil moisture monitoring based on ERS/SAR data. The implementation of this methodology is based on two steps : the calibration period and the operational period. During the calibration period, ground truth campaigns are performed to measure vegetation parameters (to correct the SAR signal from the vegetation effect), and the ERS/SAR data is processed only once a field land cover map is established. In contrast, during the operational period, no vegetation field campaigns are performed, and the images are processed as soon as they are available. The results confirm the relevance of this operational methodology, since no loss of performance (in soil moisture retrieval) is observed between the calibration and operational periods. Numéro de notice : A2002-350 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.806994 En ligne : https://doi.org/10.1109/TGRS.2002.806994 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22261 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-02121	RAB	Revue	Centre de documentation	En réserve L003	Disponible