Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/64651

TitleAssessment of burned forest area severity and postfire regrowth in chapada Diamantina National Park (Bahia, Brazil) using dNBR and RdNBR spectral indices
Author(s)Santos, Sarah Moura B. dos
Bento-Gonçalves, António
Franca-Rocha, Washington
Baptista, Gustavo
Keywordsburnt vegetation
digital image processing
Landsat-8 OLI sensor
spectral index
Issue date18-Mar-2020
PublisherMultidisciplinary Digital Publishing Institute
JournalGeosciences
CitationSantos, 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.
Abstract(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.
TypeArticle
URIhttps://hdl.handle.net/1822/64651
DOI10.3390/geosciences10030106
ISSN2076-3263
Publisher versionhttps://www.mdpi.com/2076-3263/10/3/106
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CECS - Artigos em revistas internacionais / Articles in international journals
GEO - Artigos em revistas internacionais com referee

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