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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3MRK4HP
Repositorysid.inpe.br/mtc-m21b/2016/11.22.19.56   (restricted access)
Last Update2016:11.22.19.56.39 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21b/2016/11.22.19.56.39
Metadata Last Update2018:06.04.02.41.22 (UTC) administrator
DOI10.1016/j.rse.2015.08.032
ISSN0034-4257
Citation KeySchroederOlGiQuLoMo:2016:AcFiDe
TitleActive fire detection using Landsat-8/OLI data
Year2016
MonthNov.
Access Date2024, May 18
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2122 KiB
2. Context
Author1 Schroeder, Wilfrid
2 Oliva, Patricia
3 Giglio, Louis
4 Quayle, Brad
5 Lorenz, Eckehard
6 Morelli, Fabiano
Group1
2
3
4
5
6 OBT-OBT-INPE-MCTI-GOV-BR
Affiliation1 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)
Author e-Mail Address1 wschroed@umd.edu
2
3
4
5
6 fabiano.morelli@inpe.br
JournalRemote Sensing of Environment
Volume185
Pages210-220
Secondary MarkA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_ENGENHARIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE
History (UTC)2016-11-22 19:56:39 :: simone -> administrator ::
2016-11-22 19:56:39 :: administrator -> simone :: 2016
2016-11-22 19:57:36 :: simone -> administrator :: 2016
2018-06-04 02:41:22 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractThe 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGOBT > Active fire detection...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Fileschroeder_active.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher allowfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3EU2H28
Citing Item Listsid.inpe.br/bibdigital/2013/10.01.23.43 1
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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