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Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 / Zhuoting Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 2 (February 2015)
[article]
Titre : Vegetation Burn Severity Mapping Using Landsat-8 and WorldView-2 Type de document : Article/Communication Auteurs : Zhuoting Wu, Auteur ; Barry Middleton, Auteur ; Robert Hetzler, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 143 - 154 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Arizona (Etats-Unis)
[Termes IGN] canopée
[Termes IGN] carte thématique
[Termes IGN] dommage matériel
[Termes IGN] données multitemporelles
[Termes IGN] image Landsat-8
[Termes IGN] image Worldview
[Termes IGN] incendie de forêt
[Termes IGN] ressources forestièresRésumé : (auteur) We used remotely sensed data from the Landsat-8 and WorldView-2 satellites to estimate vegetation burn severity of the Creek Fire on the San Carlos Apache Reservation, where wildfire occurrences affect the Tribe’s crucial livestock and logging industries. Accurate pre- and post-fire canopy maps at high (0.5-meter) resolution were created from WorldView-2 data to generate canopy loss maps, and multiple indices from pre- and post-fire Landsat-8 images were used to evaluate vegetation burn severity. Normalized difference vegetation index based vegetation burn severity map had the highest correlation coefficients with canopy loss map from WorldView-2. Two distinct approaches - canopy loss mapping from WorldView-2 and spectral index differencing from Landsat-8 - agreed well with the field-based burn severity estimates and are both effective for vegetation burn severity mapping. Canopy loss maps created with WorldView-2 imagery add to a short list of accurate vegetation burn severity mapping techniques that can help guide effective management of forest resources on the San Carlos Apache Reservation, and the broader fire-prone regions of the Southwest. Numéro de notice : A2015-968 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.2.143 En ligne : https://doi.org/10.14358/PERS.81.2.143 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80026
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 2 (February 2015) . - pp 143 - 154[article]