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Remote sensing data assimilation (Bulletin de Remote sensing of environment) / A. Loew

Public [n° ou bulletin]  Titre : Remote sensing data assimilation Type de document : Périodique Auteurs : A. Loew, Éditeur scientifique Editeur : Amsterdam [Pays Bas] : Elsevier Année de publication : 2008 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection Numéro de notice : 110-0804 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=10447 [n° ou bulletin]

Contient

• Assimilation of remote sensed data for improved latent and sensible heat flux prediction: a comparative synthetic study / R. Pipunic in Remote sensing of environment, vol 112 n° 4 (15/04/2008)  
• Multi-sensor model-data fusion for estimation of hydrologic and energy flux parameters / L. Renzullo in Remote sensing of environment, vol 112 n° 4 (15/04/2008)  
• Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter / C. Huang in Remote sensing of environment, vol 112 n° 4 (15/04/2008)  
• Use of a Kalman filter for the retrieval of surface BRDF coefficients with a time-evolving model based on the ECOCLIMAP land cover classification / O. Samain in Remote sensing of environment, vol 112 n° 4 (15/04/2008)  
• Assimilation of SPOT-Vegetation NDVI data into a Sahelian vegetation dynamics model / Lionel Jarlan in Remote sensing of environment, vol 112 n° 4 (15/04/2008)  
• Retrieving ocean surface current by 4D variational assimilation of Sea Surface Temperature images / G. Korotaev in Remote sensing of environment, vol 112 n° 4 (15/04/2008)  

Generation of geometrically and radiometrically terrain corrected SAR image products / A. Loew in Remote sensing of environment, vol 106 n° 3 (15/02/2007)  

Public [article]  inRemote sensing of environment > vol 106 n° 3 (15/02/2007) . - pp 337 - 349 Titre : Generation of geometrically and radiometrically terrain corrected SAR image products Type de document : Article/Communication Auteurs : A. Loew, Auteur ; W. Mauser, Auteur Année de publication : 2007 Article en page(s) : pp 337 - 349 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] classification dirigée [Termes IGN] coefficient de rétrodiffusion [Termes IGN] correction géométrique [Termes IGN] correction radiométrique [Termes IGN] géométrie de l'image [Termes IGN] géoréférencement [Termes IGN] image E-SAR [Termes IGN] luminance lumineuse [Termes IGN] modèle numérique de surface [Termes IGN] qualité des données Résumé : (Auteur) Terrain undulations affect the geometric and radiometric quality of synthetic aperture radar images. The correction of these effects becomes indispensable when quantitative image analysis is performed with respect to the derivation of geo- and biophysical parameters. The paper presents a rigorous approach for geometric and radiometric correction of SAR images. Using a digital elevation model, the imaging geometry is reconstructed and is used to perform geometric and radiometric correction of terrain induced distortions. The importance of a stringent radiometric correction based on the integration of the image brightness is emphasized. The approach guarantees that the energy contained in the image data is preserved throughout the geocoding process. The resulting backscattering images are fully terrain corrected and can be used for further quantitative investigations and may also improve qualitative studies as e.g. land cover classifications. The technique is applicable for different sensor types and image products, including already geocoded SAR images. The effect of different resolutions of digital elevation models used for the correction of the backscattering coefficient is investigated. Copyright Elsevier Numéro de notice : A2007-067 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.09.002 En ligne : https://doi.org/10.1016/j.rse.2006.09.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28432 [article]