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Auteur A. Garrett |
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Integrating Landsat-7 imagery with physics-based models for quantitative mapping of coastal waters near river discharges / Nima Pahlevan in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)
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Titre : Integrating Landsat-7 imagery with physics-based models for quantitative mapping of coastal waters near river discharges Type de document : Article/Communication Auteurs : Nima Pahlevan, Auteur ; A. Garrett, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 1163 - 1174 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] eaux côtières
[Termes IGN] hydrodynamique
[Termes IGN] image Landsat
[Termes IGN] image Landsat-ETM+
[Termes IGN] matière organique
[Termes IGN] modèle hydrographique
[Termes IGN] sédimentRésumé : (Auteur) Remote sensing has traditionally been used to retrieve water constituents by establishing a relationship between in situ measured quantities and image-derived products. Motivated by the dramatically improved potential of the Landsat Data Continuity Mission (ldcm), this paper describes a different approach for water constituent retrieval where both thermal and visible spectral bands of the Enhanced Thematic Mapper Plus (ETM+) instrument on board Landsat-7 are utilized. In this effort, Landsat data is integrated with a 3D hydrodynamic model to obtain profiles of particles and dissolved matter in the near shore zone in the vicinity of two river discharges. The procedure is based upon perform-ing many hydrodynamic simulations by adjusting input environmental/physical variables and generating Look-Up-Tables (LUTs). The best match, obtained using optimization, demonstrated an average root-mean-squared-error (RMSE) of 0.68 percent, i.e., 0.0068 reflectance units, calculated over the two river plumes. It is concluded that calibrating a physics-based model using the Landsat-7 imagery can provide a more lucid insight into the dynamics of spatially non-uniform waters. Numéro de notice : A2012-584 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.11.1163 En ligne : https://doi.org/10.14358/PERS.78.11.1163 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32030
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 11 (November 2012) . - pp 1163 - 1174[article]