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Adjusting for long term anomalous trends in NOAA's Global Vegetation Index datasets / L. Jiang in IEEE Transactions on geoscience and remote sensing, vol 46 n° 2 (February 2008)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 46 n° 2 (February 2008) . - pp 409 - 422 Titre : Adjusting for long term anomalous trends in NOAA's Global Vegetation Index datasets Type de document : Article/Communication Auteurs : L. Jiang, Auteur ; D. Tarpley, Auteur ; K. Mitchell, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 409 - 422 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] correction [Termes IGN] erreur systématique [Termes IGN] image NOAA-AVHRR [Termes IGN] modèle météorologique [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] occupation du sol [Termes IGN] sécheresse [Termes IGN] stabilité Résumé : (Auteur) The weekly 0.144° resolution global vegetation index from the National Oceanic and Atmospheric Administration (NOAA) National Environmental Satellite, Data, and Information Service (NESDIS) has a long history, starting late 1981, and has included data derived from Advanced Very High Resolution Radiometer (AVHRR) sensors onboard NOAA-7, -9, -11, -14, -16, -17, and -18 satellites. Even after postlaunch calibration and mathematical smoothing and filtering of the normalized difference vegetation index (NDVI) derived from AVHRR visible and near-infrared channels, the time series of global smoothed NDVI (SMN) still has apparent discontinuities and biases due to sensor degradation, orbital drift [equator crossing time (ECT)], and differences from instrument to instrument in band response functions. To meet the needs of the operational weather and climate modeling and monitoring community for a stable long-term global NDVI data set, we investigated adjustments to substantially reduce the bias of the weekly global SMN series by simple and efficient algorithms that require a minimum number of assumptions about the statistical properties of the interannual global vegetation changes. Of the algorithms tested, we found the adjusted cumulative distribution function (ACDF) method to be a well-balanced approach that effectively eliminated most of the long-term global-scale interannual trend of AVHRR NDVI. Improvements to the global and regional NDVI data stability have been demonstrated by the results of ACDF-adjusted data set evaluated at a global scale, on major land classes, with relevance to satellite ECT, at major continental regions, and at regional drought detection applications. Copyright IEEE Numéro de notice : A2008-072 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2007.902844 En ligne : https://doi.org/10.1109/TGRS.2007.902844 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29067 [article]

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065-08021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Cloud screening for determination of land surface characteristics in a reduced resolution satellite data set / G. Gutman in International Journal of Remote Sensing IJRS, vol 8 n° 6 (June 1987)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 8 n° 6 (June 1987) . - pp 859 - 870 Titre : Cloud screening for determination of land surface characteristics in a reduced resolution satellite data set Type de document : Article/Communication Auteurs : G. Gutman, Auteur ; D. Tarpley, Auteur ; G. Ohring, Auteur Année de publication : 1987 Article en page(s) : pp 859 - 870 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] appariement de modèles conceptuels de données [Termes IGN] bande infrarouge [Termes IGN] bande visible [Termes IGN] état de surface du sol [Termes IGN] Etats-Unis [Termes IGN] image à basse résolution [Termes IGN] image NOAA-AVHRR [Termes IGN] nuage [Termes IGN] radiance Numéro de notice : A1987-107 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431168708948694 En ligne : https://doi.org/10.1080/01431168708948694 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24205 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-87061	RAB	Revue	Centre de documentation	En réserve L003	Disponible