Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/64651

TítuloAssessment of burned forest area severity and postfire regrowth in chapada Diamantina National Park (Bahia, Brazil) using dNBR and RdNBR spectral indices
Autor(es)Santos, Sarah Moura B. dos
Bento-Gonçalves, António
Franca-Rocha, Washington
Baptista, Gustavo
Palavras-chaveburnt vegetation
digital image processing
Landsat-8 OLI sensor
spectral index
Data18-Mar-2020
EditoraMultidisciplinary Digital Publishing Institute
RevistaGeosciences
CitaçãoSantos, S.M.B.; Bento-Gonçalves, A.; Franca-Rocha, W.; Baptista, G. Assessment of Burned Forest Area Severity and Postfire Regrowth in Chapada Diamantina National Park (Bahia, Brazil) Using dNBR and RdNBR Spectral Indices. Geosciences 2020, 10, 106.
Resumo(s)Fire scar detection through orbital data can be done using specific techniques, such as the use of spectral indices like the normalized burn ratio (NBR), which are designed to help identify burnt areas as they have typical spectral responses. This paper aims to characterize burn severity and regrowth in areas hit by three fires in the Chapada Diamantina National Park (Bahia, Brazil) and its surrounding area through the differenced normalized burn ratio (dNBR) and relative differenced normalized burn ratio (RdNBR) spectral indices. The data acquired were pretreated and prepared adequately to calculate the indices. We conclude that for the study area, considering the limitations of fieldwork, the multitemporal index dNBR and the relative index RdNBR are important tools for classifying burnt areas and can be used to assess the regrowth of vegetation.
TipoArtigo
URIhttps://hdl.handle.net/1822/64651
DOI10.3390/geosciences10030106
ISSN2076-3263
Versão da editorahttps://www.mdpi.com/2076-3263/10/3/106
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CECS - Artigos em revistas internacionais / Articles in international journals
GEO - Artigos em revistas internacionais com referee

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