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...
- Autores:
- 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
- Rights
- restrictedAccess
- License
- http://purl.org/coar/access_right/c_16ec
id |
REPOUDEM2_d4d95718fa1a306c9bfebe161b461039 |
---|---|
oai_identifier_str |
oai:repository.udem.edu.co:11407/1408 |
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 |
bitstream.url.fl_str_mv |
http://repository.udem.edu.co/bitstream/11407/1408/1/portada.JPG |
bitstream.checksum.fl_str_mv |
738b43d995cc79ab9903fd6863aa9f2d |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
repository.name.fl_str_mv |
Repositorio Institucional Universidad de Medellin |
repository.mail.fl_str_mv |
repositorio@udem.edu.co |
_version_ |
1814159127720493056 |
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 |