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Assessing the potential of space-borne C-band SAR data for spatial soil moisture information over a large area / S.A. Romshoo in Geocarto international, vol 19 n° 1 (March - May 2004)  

Public [article]  inGeocarto international > vol 19 n° 1 (March - May 2004) . - pp 65 - 75 Titre : Assessing the potential of space-borne C-band SAR data for spatial soil moisture information over a large area Type de document : Article/Communication Auteurs : S.A. Romshoo, Auteur ; K. Musiake, Auteur Année de publication : 2004 Article en page(s) : pp 65 - 75 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] analyse en composantes principales [Termes IGN] humidité du sol [Termes IGN] image ERS-SAR [Termes IGN] image Radarsat [Termes IGN] modèle de diffusion du rayonnement [Termes IGN] rétrodiffusion [Termes IGN] zone humide Résumé : (Auteur) The backscattering coefficient ä from a time series of ERS-2 SAR data showed high correlation (r 2 =0.94) and high sensitivity to the observed surface soil moisture at a field scale. The observations agreed well with the simulations from the two surface scattering models tested in the study area. A single coincidence of the ERS-2 and RADARSAT missions, with two different polarizations, provided an opportunity to estimate soil moisture over a large area by inverting the Dubois model. The estimates were validated with the field observations over a small area and are in good agreement with standard error of estimate (SEE) equal to 1.01 cm3 cm-3. Furthermore, different soil moisture estimation methods were tested and compared with the observations to better understand the temporal and spatial variability of this important parameter. Soil moisture at a point was simulated using three hydrological models and compared with the radar backscattering and the point observations. There is a large variation in the responses among them. Simple statistical approaches viz., coefficient of variation and principal component analysis were used for mapping the spatial patterns of soil moisture over a large area using a time series of ERS-2 data. These simple methods helped to map areas where the moisture availability is not varying much. This information about soil moisture distribution is of vital importance to the hydrological processes especially the variable source area concept. Numéro de notice : A2004-233 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040408542300 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040408542300 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26760 [article]

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