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On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 44 n° 8 (August 2006)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 44 n° 8 (August 2006) . - pp 2207 - 2218 Titre : On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance Type de document : Article/Communication Auteurs : F. Gao, Auteur ; J. Masek, Auteur ; M. Schwaller, Auteur ; D. Gramond, Auteur Année de publication : 2006 Article en page(s) : pp 2207 - 2218 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] accentuation d'image [Termes IGN] fusion d'images [Termes IGN] image Landsat-ETM+ [Termes IGN] image Terra-MODIS [Termes IGN] précision géométrique (imagerie) [Termes IGN] réflectance du sol Résumé : (Auteur) The 16-day revisit cycle of Landsat has long limited its use for studying global biophysical processes, which evolve rapidly during the growing season. In cloudy areas of the Earth, the problem is compounded, and researchers are fortunate to get two to three clear images per year. At the same time, the coarse resolution of sensors such as the Advanced Very High Resolution Radiometer and Moderate Resolution Imaging Spectroradiometer (MODIS) limits the sensors' ability to quantify biophysical processes in heterogeneous landscapes. In this paper, the authors present a new spatial and temporal adaptive reflectance fusion model (STARFM) algorithm to blend Landsat and MODIS surface reflectance. Using this approach, high-frequency temporal information from MODIS and high-resolution spatial information from Landsat can be blended for applications that require high resolution in both time and space. The MODIS daily 500-m surface reflectance and the 16-day repeat cycle Landsat Enhanced Thematic Mapper Plus (ETM+) 30-m surface reflectance are used to produce a synthetic "daily" surface reflectance product at ETM+ spatial resolution. The authors present results both with simulated (model) data and actual Landsat/MODIS acquisitions. In general, the STARFM accurately predicts surface reflectance at an effective resolution close to that of the ETM+. However, the performance depends on the characteristic patch size of the landscape and degrades somewhat when used on extremely heterogeneous fine-grained landscapes. Copyright IEEE Numéro de notice : A2006-395 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.872081 En ligne : https://doi.org/10.1109/TGRS.2006.872081 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28119 [article]

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065-06081	RAB	Revue	Centre de documentation	En réserve L003	Disponible