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Auteur J.M. Silva |
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Assessing the feasibility of a global model for multi-temporal burned area mapping using Spot-Vegetation data / J.M. Silva in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)
[article]
Titre : Assessing the feasibility of a global model for multi-temporal burned area mapping using Spot-Vegetation data Type de document : Article/Communication Auteurs : J.M. Silva, Auteur ; J.F. Cadima, Auteur ; J.M. Pereira, Auteur ; J.M. Gregoire, Auteur Année de publication : 2004 Article en page(s) : pp 4889 - 4913 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande infrarouge
[Termes IGN] cartographie thématique
[Termes IGN] étude de faisabilité
[Termes IGN] forêt tropicale
[Termes IGN] image SPOT-Végétation
[Termes IGN] incendie
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] zone boréale
[Termes IGN] zone intertropicale
[Termes IGN] zone tempéréeRésumé : (Auteur) The possibility of using the Système Probatoire de l'Observation de la Terre (SPOT)-VEGETATION (VGT) data for global burned area mapping with a single algorithm was investigated. Using VGT images from south-eastern Africa, the Iberian Peninsula and south-eastern Siberia/north-eastern China, we analysed the variability of the spectral signature of burned areas and its relationship with land cover, and performed the selection of the best variables for burned area mapping. The results show that in grasslands and croplands, near-infrared (NIR) and short-wave infrared (SWIR) reflectance always decreases as a result of fire. In forests and woodlands, there may occur a simultaneous decrease of SWIR and NIR or an increase of SWIR and a decrease of NIR. Burning of green vegetation (high values of the Normalized Difference Vegetation Index (NDVI)) tends to result in an increase of the SWIR. The best variables for burned area mapping are different in each region. Only the NIR allows a good discrimination of burned areas in all study areas. We derived a logistic regression model for multi-temporal burned area mapping in tropical, temperate and boreal regions, which handles the spectral variability of burned areas dependent on the type of vegetation. The results underline the feasibility of a single model for global burned area mapping. Numéro de notice : A2004-486 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160412331291251 En ligne : https://doi.org/10.1080/01431160412331291251 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27004
in International Journal of Remote Sensing IJRS > vol 25 n° 22 (November 2004) . - pp 4889 - 4913[article]Exemplaires(1)
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