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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]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-06081	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 40 n° 6 (June 2002) . - pp 1269 - 1278 Titre : Bidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy Type de document : Article/Communication Auteurs : F. Gao, Auteur ; Y.J. Xiaowen, Auteur ; C.B. Schaaf, Auteur ; A. Strahler, Auteur Année de publication : 2002 Article en page(s) : pp 1269 - 1278 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection [Termes IGN] bande infrarouge [Termes IGN] bande rouge [Termes IGN] canopée [Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF [Termes IGN] éclairement lumineux [Termes IGN] image optique [Termes IGN] image Terra-MODIS [Termes IGN] inversion [Termes IGN] modèle physique [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] spectroradiométrie Résumé : (Auteur) The normalized difference vegetation index (NDVI) has been widely applied in optical remote sensing. However, it has been demonstrated that NDVI is still partially affected by atmospheric path scattering and bidirectional (illumination and viewing geometry) effects. In this paper we present the benefit of using a bidirectional NDVI, and we discuss the problems in using the maximum NDVI composite method. Based on the assumption that a clear day has a larger NDVI value and a cloudy day has a smaller NDVI value (smaller reflectance in the nearinfrared band and larger reflectance in red band due to atmospheric path scattering), the ratio of squared observed NDVI values and calculated NDVI values is used as a weight in our inversion method. The calculated NDVI values are derived from previously inverted bidirectional reflectance distribution functions (BRDFs). The inversion process will loop until all weights converge. Our research on the early Terra/MODIS data using a semiempirical kerneldriven BRDF model (the RossThickLiTransit model) shows that this new method can improve inversion results whenever some cloudy pixels are not filtered out. As cloud detection and subpixel cloudiness are always a problem, this technique should still be very useful in improving the quality of BRDF inversion. Numéro de notice : A2002-187 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2002.800241 En ligne : https://ieeexplore.ieee.org/document/1020259 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22102 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
065-02061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
065-02062	RAB	Revue	Centre de documentation	En réserve L003	Disponible