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Prediction of the error induced by topography in satellite microwave radiometric observations / Luca Pulvirenti in IEEE Transactions on geoscience and remote sensing, vol 49 n° 9 (September 2011)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 49 n° 9 (September 2011) . - pp 3180 - 3188 Titre : Prediction of the error induced by topography in satellite microwave radiometric observations Type de document : Article/Communication Auteurs : Luca Pulvirenti, Auteur ; Nazzareno Pierdicca, Auteur ; F. Silvio, Auteur Année de publication : 2011 Article en page(s) : pp 3180 - 3188 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] Alpes [Termes IGN] analyse comparative [Termes IGN] angle d'incidence [Termes IGN] bande C [Termes IGN] bande L [Termes IGN] classification par réseau neuronal [Termes IGN] humidité du sol [Termes IGN] image radar [Termes IGN] image satellite [Termes IGN] montagne [Termes IGN] plaine [Termes IGN] régression [Termes IGN] relief [Termes IGN] sol nu [Termes IGN] télédétection en hyperfréquence [Termes IGN] topographie [Termes IGN] valeur radiométrique Résumé : (Auteur) A numerical simulator of satellite microwave radiometric observations of mountainous scenes, developed in a previous study, has been used to predict the relief effects on the measurements of a spaceborne radiometer. For this purpose, the trends of the error due to topography, i.e., the difference between the antenna temperature calculated for a topographically variable surface and that computed for a flat terrain versus the parameters representing the relief, have been analyzed. The analysis has been mainly performed for a mountainous area in the Alps by assuming a simplified land-cover scenario consisting of bare terrain with two roughness conditions (smooth and rough soils) and considering L- and C-bands, i.e., those most suitable for soil moisture retrieval. The results have revealed that the error in satellite microwave radiometric observations is particularly correlated to the mean values of the height and slope of the radiometric pixel, as well as to the standard deviations of the aspect angle and local incidence angle. Both a regression analysis and a neural-network approach have been applied to estimate the error as a function of the parameters representing the relief, using the simulator to build training and test sets. The prediction of the topography effects and their correction in radiometric images have turned out to be feasible, at least for the scenarios considered in this study. Numéro de notice : A2011-361 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2010.2096514 Date de publication en ligne : 06/01/2011 En ligne : https://doi.org/10.1109/TGRS.2010.2096514 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31140 [article]

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