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Reference TypeConference Proceedings
Identifier8JMKD3MGP6W34M/3TUPK42
Repositorysid.inpe.br/marte2/2019/09.04.18.27
Metadatasid.inpe.br/marte2/2019/09.04.18.27.45
Sitemarte2.sid.inpe.br
ISBN978-85-17-00097-3
Citation KeyPletshPeSiKöArAnMo:2019:CoSpIn
Author1 Pletsh, Mikhaela Aloísia Jéssie Santos
2 Penha, Thales Vaz
3 Silva Júnior, Celso Henrique Leite
4 Körting, Thales Sehn
5 Aragão, Luiz Eduardo Oliveira e Cruz de
6 Anderson, Liana Oighenstein
7 Morelli, Fabiano
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 COCST-COCST-INPE-MCTIC-GOV-BR
3 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
4 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
6
7 DIDPI-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
7 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 mikhaela.pletsch@inpe.br
2 thales.penha@inpe.br
3 celso.junior@inpe.br
4 thales.korting@inpe.br
5 luiz.aragao@inpe.br
6 liana.anderson@cemaden.gov.br
7 fabiano.morelli@inpe.br
TitleCombination of spectral indices for burned area detection in the brazilian amazonia
Conference NameSimpósio Brasileiro de Sensoriamento Remoto, 19 (SBSR)
Year2019
EditorGherardi, Douglas Francisco Marcolino
Sanches, Ieda DelArco
Aragão, Luiz Eduardo Oliveira e Cruz de
Book TitleAnais
Date14-17 abril 2019
Publisher CitySão José dos Campos
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Conference LocationSantos
KeywordsRainforest, Landsat-8, Spectral Index, Forest Fires, Burnt Area.
AbstractSpectral Indices (SI) are widely used for remote sensing application because they enhance targeted features in optical images through the algebraic combination of spectral bands. There is a large variety of SI, in which the performance varies depending on the user's application. Considering the different emphases that spectral indices may offer, here we present a test-case based on the combination of 10 SI in a three channels remote sensing image (Red; Green; Blue - RGB) aiming to highlight burned areas from other targets such as vegetation and water. This process generated 120 possible combinations without repetition. With spatial resolution of 30m, the proposed method was able to achieve an accuracy between 0,21 and 0.86, according to Cohen's Kappa coefficient. The two groups of indices MIRBI, NBR2, EVI, MNDWI and CSI; and BAI, NBR and NDVI were the most inaccurate and accurate indices, respectively, identified for the study site.
Pages1248-1251
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
Languagept
TypeClassificação e mineração de dados
Secondary TypePRE CN
Tertiary Typefull paper
FormatInternet
AreaSRE
Size675 KiB
Number of Files1
Target File97276.pdf
Last Update2019:09.04.18.27.45 dpi.inpe.br/marte2/2013/05.17.15.03.06 simone
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Next Higher Units8JMKD3MGPCW/3EQCCU5
8JMKD3MGPCW/3ER446E
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History2019-11-06 11:14:13 :: simone -> administrator :: 2019
2020-01-06 12:30:34 :: administrator -> simone :: 2019
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