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Tipo da ReferênciaJournal Article
Identificador8JMKD3MGP3W34P/3MRK4HP
Repositóriosid.inpe.br/mtc-m21b/2016/11.22.19.56   (acesso restrito)
Metadadossid.inpe.br/mtc-m21b/2016/11.22.19.56.39
Sitemtc-m21b.sid.inpe.br
DOI10.1016/j.rse.2015.08.032
ISSN0034-4257
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Chave de CitaçãoSchroederOlGiQuLoMo:2016:AcFiDe
Autor1 Schroeder, Wilfrid
2 Oliva, Patricia
3 Giglio, Louis
4 Quayle, Brad
5 Lorenz, Eckehard
6 Morelli, Fabiano
Grupo1
2
3
4
5
6 OBT-OBT-INPE-MCTI-GOV-BR
Afiliação1 University of Maryland
2 University of Maryland
3 University of Maryland
4 USDA Forest Service Remote Sensing Applications Cente
5 German Aerospace Center
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 wschroed@umd.edu
2
3
4
5
6 fabiano.morelli@inpe.br
TítuloActive fire detection using Landsat-8/OLI data
RevistaRemote Sensing of Environment
Ano2016
Volume185
MêsNov.
ResumoThe gradual increase in Landsat-class data availability creates new opportunities for fire science and management applications that require higher-fidelity information about biomass burning, improving upon existing coarser spatial resolution (≥ 1 km) satellite active fire data sets. Targeting those enhanced capabilities we describe an active fire detection algorithm for use with Landsat-8 Operational Land Imager (OLI) daytime and nighttime data. The approach builds on the fire-sensitive short-wave infrared channel 7 complemented by visible and near-infrared channel 16 data (daytime only), while also expanding on the use of multi-temporal analysis to improve pixel classification results. Despite frequent saturation of OLI's fire-affected pixels, which includes radiometric artifacts resulting from folding of digital numbers, our initial assessment based on visual image analysis indicated high algorithm fidelity across a wide range of biomass burning scenarios, gas flares and active volcanoes. Additional field data verification confirmed the sensor's and algorithm's ability to resolve fires of significantly small areas compared to current operational satellite fire products. Commission errors were greatly reduced with the addition of multi-temporal analysis tests applied to co-located pixels, averaging less than 0.2% globally. Because of its overall quality, Landsat-8/OLI active fire data could become part of a network of emerging earth observation systems providing enhanced spatial and temporal coverage of biomass burning at global scales.
Páginas210-220
Idiomaen
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
AreaSRE
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
Tamanho2122 KiB
Número de Arquivos1
Arquivo Alvoschroeder_active.pdf
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Permissão de Leituradeny from all and allow from 150.163
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2016-11-22 19:57:36 :: simone -> administrator :: 2016
2018-06-04 02:41:22 :: administrator -> simone :: 2016
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Data de Acesso19 out. 2020
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