Global burned-land estimation in Latin America using MODIS composite data

This paper presents results of the AQL2004 project, which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLatif). The project intended to obtain monthly burned-land maps of the entire region, from Mexico to Patagonia, using MODIS (moderate-resolu...

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Tipo de recurso:
Fecha de publicación:
2008
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/1408
Acceso en línea:
http://hdl.handle.net/11407/1408
https://doi.org/10.1890/06-2148.1
Palabra clave:
Biomass burning
Burn area index
Burn scars
Burned area
Forest fires
Latin America
MODIS
Normalized burn ratio
Remote sensing
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restrictedAccess
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http://purl.org/coar/access_right/c_16ec
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network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
dc.title.eng.fl_str_mv Global burned-land estimation in Latin America using MODIS composite data
dc.title.english.eng.fl_str_mv Global burned-land estimation in Latin America using MODIS composite data
title Global burned-land estimation in Latin America using MODIS composite data
spellingShingle Global burned-land estimation in Latin America using MODIS composite data
Biomass burning
Burn area index
Burn scars
Burned area
Forest fires
Latin America
MODIS
Normalized burn ratio
Remote sensing
title_short Global burned-land estimation in Latin America using MODIS composite data
title_full Global burned-land estimation in Latin America using MODIS composite data
title_fullStr Global burned-land estimation in Latin America using MODIS composite data
title_full_unstemmed Global burned-land estimation in Latin America using MODIS composite data
title_sort Global burned-land estimation in Latin America using MODIS composite data
dc.contributor.affiliation.spa.fl_str_mv Departamento de Geografía, Colegios 2, Universidad de Alcalá, Alcalá de Henares, Spain
Escuela de Ciencia Y Tecnologías Agropecuarias, Universidad de Magallanes, Punta Arenas, Chile
UNLU (Universidad de Luján), Departamento de Ciencias Básicas, UADER-CEREGeo (Centro Regional de Geomática, Universidad de Entre Rios), Luján, Argentina
Centro Nacional Patagónico (CENPAT), CONICET (Comisión Nacional de Ciencia Y Tecnología), Puerto Madryn, Argentina
Facultad de Ingeniería Ambiental, Universidad de Medellín, Medellín, Colombia
Instituto de Clima Y Agua, INTA Instituto Nacional de Tecnología Agropecuaria-Castelar, Buenos Aires, Argentina
CONABIO (Comisión Nacional para el Conocimiento Y Uso de la Biodiversidad), Mexico City, Mexico
Instituto de Geografía, Universidad Nacional Autónoma de México, Mexico City, Mexico
Centro de Investigación Forestal (CIFOR), Instituto Nacional de Investigación Y Tecnología Agraria Y Alimentaria (INIA), Madrid, Spain
Centro de Previsão de Tempo e Estudos Clima Ticos, Instituto Nacional de Pesquisas Espacias, Sao Jose dos Campos, Brazil
University of Maryland, Department of Geography, College Park, MD 20742, United States
Departamento de Ingeniería Topográfica, Universidad del País Vasco, Vitoria, Spain
dc.subject.keyword.eng.fl_str_mv Biomass burning
Burn area index
Burn scars
Burned area
Forest fires
Latin America
MODIS
Normalized burn ratio
Remote sensing
topic Biomass burning
Burn area index
Burn scars
Burned area
Forest fires
Latin America
MODIS
Normalized burn ratio
Remote sensing
description This paper presents results of the AQL2004 project, which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLatif). The project intended to obtain monthly burned-land maps of the entire region, from Mexico to Patagonia, using MODIS (moderate-resolution imaging spectroradiometer) reflectance data. The project has been organized in three different phases: acquisition and preprocessing of satellite data; discrimination of burned pixels; and validation of results. In the first phase, input data consisting of 32-day composites of MODIS 500-m reflectance data generated by the Global Land Cover Facility (GLCF) of the University of Maryland (College Park, Maryland, USA) were collected and processed. The discrimination of burned areas was addressed in two steps: searching for "burned core" pixels using postfire spectral indices and multitemporal change detection and mapping of burned scars using contextual techniques. The validation phase was based on visual analysis of Landsat and CBERS (China-Brazil Earth Resources Satellite) images. Validation of the burned-land category showed an agreement ranging from 30% to 60%, depending on the ecosystem and vegetation species present. The total burned area for the entire year was estimated to be 153 215 km2. The most affected countries in relation to their territory were Cuba, Colombia, Bolivia, and Venezuela. Burned areas were found in most land covers; herbaceous vegetation (savannas and grasslands) presented the highest proportions of burned area, while perennial forest had the lowest proportions. The importance of croplands in the total burned area should be taken with reserve, since this cover presented the highest commission errors. The importance of generating systematic products of burned land areas for different ecological processes is emphasized. © 2008 by the Ecological Society of America.
publishDate 2008
dc.date.created.none.fl_str_mv 2008
dc.date.accessioned.none.fl_str_mv 2015-10-09T13:18:27Z
dc.date.available.none.fl_str_mv 2015-10-09T13:18:27Z
dc.type.eng.fl_str_mv Article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.issn.none.fl_str_mv 10510761
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/1408
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1890/06-2148.1
identifier_str_mv 10510761
url http://hdl.handle.net/11407/1408
https://doi.org/10.1890/06-2148.1
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.spa.fl_str_mv https://esajournals.onlinelibrary.wiley.com/doi/abs/10.1890/06-2148.1
dc.relation.ispartofen.eng.fl_str_mv Ecological Applications, enero de 2008, volume 18, issue 1, pp 64-79
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.program.spa.fl_str_mv Ingeniería Ambiental
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingenierías
dc.source.spa.fl_str_mv Scopus
institution Universidad de Medellín
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spelling 2015-10-09T13:18:27Z2015-10-09T13:18:27Z200810510761http://hdl.handle.net/11407/1408https://doi.org/10.1890/06-2148.1This paper presents results of the AQL2004 project, which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLatif). The project intended to obtain monthly burned-land maps of the entire region, from Mexico to Patagonia, using MODIS (moderate-resolution imaging spectroradiometer) reflectance data. The project has been organized in three different phases: acquisition and preprocessing of satellite data; discrimination of burned pixels; and validation of results. In the first phase, input data consisting of 32-day composites of MODIS 500-m reflectance data generated by the Global Land Cover Facility (GLCF) of the University of Maryland (College Park, Maryland, USA) were collected and processed. The discrimination of burned areas was addressed in two steps: searching for "burned core" pixels using postfire spectral indices and multitemporal change detection and mapping of burned scars using contextual techniques. The validation phase was based on visual analysis of Landsat and CBERS (China-Brazil Earth Resources Satellite) images. Validation of the burned-land category showed an agreement ranging from 30% to 60%, depending on the ecosystem and vegetation species present. The total burned area for the entire year was estimated to be 153 215 km2. The most affected countries in relation to their territory were Cuba, Colombia, Bolivia, and Venezuela. Burned areas were found in most land covers; herbaceous vegetation (savannas and grasslands) presented the highest proportions of burned area, while perennial forest had the lowest proportions. The importance of croplands in the total burned area should be taken with reserve, since this cover presented the highest commission errors. The importance of generating systematic products of burned land areas for different ecological processes is emphasized. © 2008 by the Ecological Society of America.enghttps://esajournals.onlinelibrary.wiley.com/doi/abs/10.1890/06-2148.1Ecological Applications, enero de 2008, volume 18, issue 1, pp 64-79ScopusGlobal burned-land estimation in Latin America using MODIS composite dataGlobal burned-land estimation in Latin America using MODIS composite dataArticleinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecIngeniería AmbientalFacultad de IngenieríasDepartamento de Geografía, Colegios 2, Universidad de Alcalá, Alcalá de Henares, SpainEscuela de Ciencia Y Tecnologías Agropecuarias, Universidad de Magallanes, Punta Arenas, ChileUNLU (Universidad de Luján), Departamento de Ciencias Básicas, UADER-CEREGeo (Centro Regional de Geomática, Universidad de Entre Rios), Luján, ArgentinaCentro Nacional Patagónico (CENPAT), CONICET (Comisión Nacional de Ciencia Y Tecnología), Puerto Madryn, ArgentinaFacultad de Ingeniería Ambiental, Universidad de Medellín, Medellín, ColombiaInstituto de Clima Y Agua, INTA Instituto Nacional de Tecnología Agropecuaria-Castelar, Buenos Aires, ArgentinaCONABIO (Comisión Nacional para el Conocimiento Y Uso de la Biodiversidad), Mexico City, MexicoInstituto de Geografía, Universidad Nacional Autónoma de México, Mexico City, MexicoCentro de Investigación Forestal (CIFOR), Instituto Nacional de Investigación Y Tecnología Agraria Y Alimentaria (INIA), Madrid, SpainCentro de Previsão de Tempo e Estudos Clima Ticos, Instituto Nacional de Pesquisas Espacias, Sao Jose dos Campos, BrazilUniversity of Maryland, Department of Geography, College Park, MD 20742, United StatesDepartamento de Ingeniería Topográfica, Universidad del País Vasco, Vitoria, SpainChuvieco E.Opazo S.Sione W.Del Valle H.Anaya J.Di Bella C.Cruz I.Manzo L.Lopez G.Mari N.Gonzalez-Alonso F.Morelli F.Setzer A.Csiszar I.Kanpandegi J.A.Bastarrika A.Libonati R.Biomass burningBurn area indexBurn scarsBurned areaForest firesLatin AmericaMODISNormalized burn ratioRemote sensingTHUMBNAILportada.JPGportada.JPGimage/jpeg15812http://repository.udem.edu.co/bitstream/11407/1408/1/portada.JPG738b43d995cc79ab9903fd6863aa9f2dMD5111407/1408oai:repository.udem.edu.co:11407/14082020-05-27 15:58:17.599Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co