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Auteur Mehrez Zribi |
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Evaluation of a rough soil surface description with ASAR-ENVISAT radar data / Mehrez Zribi in Remote sensing of environment, vol 95 n° 1 (15/03/2005)
[article]
Titre : Evaluation of a rough soil surface description with ASAR-ENVISAT radar data Type de document : Article/Communication Auteurs : Mehrez Zribi, Auteur ; Nicolas Baghdadi, Auteur ; N. Holah, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 67 - 76 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photo-interprétation
[Termes IGN] angle d'incidence
[Termes IGN] approximation
[Termes IGN] Beauce
[Termes IGN] humidité du sol
[Termes IGN] image Envisat-ASAR
[Termes IGN] image radar
[Termes IGN] milieu rural
[Termes IGN] rétrodiffusion
[Termes IGN] rugosité du sol
[Termes IGN] sol nu
[Termes IGN] surface cultivéeRésumé : (Auteur) The input roughness parameters for electromagnetic backscattering modelling need to be accurate to estimate radar measurements correctly over bare soils, particularly in agricultural environments. This paper propose to evaluate the roughness description in terms of several characterisations through a correlation function using a numerical backscattering model. The experimental database used in this study is based on ASAR-ENVISAT experimental campaigns in the Beauce region (France). Two presentations of the surface height correlation function are proposed in this study. The first one, referred to as the "Ïfunction" fits the experimental correlation functions up to the correlation length, while the second one, the "(a,b) function" fits the correlation function for scales corresponding to positive values. A relationship is proposed between the rms height of soil surface and the shape of the correlation function. Using Ïfunction, comparisons between radar measurements for high incidence angles and simulations based on the numerical backscattering model (moment method) show a good agreement for soil surfaces with an rms height smaller than 2 cm with medium and high soil moisture. Numéro de notice : A2005-090 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.11.014 En ligne : https://doi.org/10.1016/j.rse.2004.11.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27228
in Remote sensing of environment > vol 95 n° 1 (15/03/2005) . - pp 67 - 76[article]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)
[article]
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'imageRésumé : (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
in IEEE Transactions on geoscience and remote sensing > vol 40 n° 12 (December 2002) . - pp 2647 - 2658[article]Réservation
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