Appropriate assessment of the accuracy of burned area products is required to assess greenhouse gas (GHG) emissions in a reliable way. This paper provides validation results for three burned area products with different pixel sizes: MCD45 (500 m), GlobCarbon (1 km), and L3JRC (1 km) for the Orinoco...

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Tipo de recurso:
Fecha de publicación:
2012
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/1413
Acceso en línea:
http://hdl.handle.net/11407/1413
Palabra clave:
Accuracy assessment
Accuracy measurements
Amazonian forests
Burned areas
Burned patches
Confusion matrices
Estimation errors
Omission errors
Pareto boundary
Pixel size
River basins
Validation results
Agriculture
Errors
Greenhouse gases
Pixels
Rating
accuracy assessment
cattle
error analysis
forest ecosystem
forest fire
greenhouse gas
pasture
pixel
Amazonia
Orinoco Basin
Bos
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restrictedAccess
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http://purl.org/coar/access_right/c_16ec
id REPOUDEM2_aeebee158f54341626b2bd84dab9fd96
oai_identifier_str oai:repository.udem.edu.co:11407/1413
network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
spelling 2015-10-09T13:18:28Z2015-10-09T13:18:28Z2012991112http://hdl.handle.net/11407/1413Appropriate assessment of the accuracy of burned area products is required to assess greenhouse gas (GHG) emissions in a reliable way. This paper provides validation results for three burned area products with different pixel sizes: MCD45 (500 m), GlobCarbon (1 km), and L3JRC (1 km) for the Orinoco River basin, which is widely affected by fires, many of them oriented towards the conversion of Amazonian forest to cattle pasture. Accuracy measurements were based on commission and omission errors computed from 15 confusion matrices, as well as in the Pareto Boundary concept, which evaluates the impact of different pixel sizes in omission and commission errors. An edge metric was used to analyze the impact of shapes of burned patches on global accuracy. It was shown that all products underestimate burned-area and that an increase in pixel size or burned patch elongation, results in larger estimation errors. © 2012 American Society for Photogrammetry and Remote Sensin.enghttp://www.ingentaconnect.com/content/asprs/pers/2012/00000078/00000001/art00004Photogrammetric Engineering and Remote Sensing, enero de 2012, volume 78, issue1, pp 53-60ScopusArticleinfo: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_16ecUniversidad de Medellín, Carrera 87 No.30-65, Medellín, ColombiaUniversidad de Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Madrid, SpainAnaya J.A.Chuvieco E.Accuracy assessmentAccuracy measurementsAmazonian forestsBurned areasBurned patchesConfusion matricesEstimation errorsOmission errorsPareto boundaryPixel sizeRiver basinsValidation resultsAgricultureErrorsGreenhouse gasesPixelsRatingaccuracy assessmentcattleerror analysisforest ecosystemforest firegreenhouse gaspasturepixelAmazoniaOrinoco BasinBosAccuracy assessment of burned area products in the Orinoco basin11407/1413oai:repository.udem.edu.co:11407/14132020-05-27 19:06:01.781Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.english.eng.fl_str_mv Accuracy assessment of burned area products in the Orinoco basin
dc.contributor.affiliation.spa.fl_str_mv Universidad de Medellín, Carrera 87 No.30-65, Medellín, Colombia
Universidad de Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Madrid, Spain
dc.subject.keyword.eng.fl_str_mv Accuracy assessment
Accuracy measurements
Amazonian forests
Burned areas
Burned patches
Confusion matrices
Estimation errors
Omission errors
Pareto boundary
Pixel size
River basins
Validation results
Agriculture
Errors
Greenhouse gases
Pixels
Rating
accuracy assessment
cattle
error analysis
forest ecosystem
forest fire
greenhouse gas
pasture
pixel
Amazonia
Orinoco Basin
Bos
topic Accuracy assessment
Accuracy measurements
Amazonian forests
Burned areas
Burned patches
Confusion matrices
Estimation errors
Omission errors
Pareto boundary
Pixel size
River basins
Validation results
Agriculture
Errors
Greenhouse gases
Pixels
Rating
accuracy assessment
cattle
error analysis
forest ecosystem
forest fire
greenhouse gas
pasture
pixel
Amazonia
Orinoco Basin
Bos
spellingShingle Accuracy assessment
Accuracy measurements
Amazonian forests
Burned areas
Burned patches
Confusion matrices
Estimation errors
Omission errors
Pareto boundary
Pixel size
River basins
Validation results
Agriculture
Errors
Greenhouse gases
Pixels
Rating
accuracy assessment
cattle
error analysis
forest ecosystem
forest fire
greenhouse gas
pasture
pixel
Amazonia
Orinoco Basin
Bos
description Appropriate assessment of the accuracy of burned area products is required to assess greenhouse gas (GHG) emissions in a reliable way. This paper provides validation results for three burned area products with different pixel sizes: MCD45 (500 m), GlobCarbon (1 km), and L3JRC (1 km) for the Orinoco River basin, which is widely affected by fires, many of them oriented towards the conversion of Amazonian forest to cattle pasture. Accuracy measurements were based on commission and omission errors computed from 15 confusion matrices, as well as in the Pareto Boundary concept, which evaluates the impact of different pixel sizes in omission and commission errors. An edge metric was used to analyze the impact of shapes of burned patches on global accuracy. It was shown that all products underestimate burned-area and that an increase in pixel size or burned patch elongation, results in larger estimation errors. © 2012 American Society for Photogrammetry and Remote Sensin.
publishDate 2012
dc.date.created.none.fl_str_mv 2012
dc.date.accessioned.none.fl_str_mv 2015-10-09T13:18:28Z
dc.date.available.none.fl_str_mv 2015-10-09T13:18:28Z
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 991112
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/1413
identifier_str_mv 991112
url http://hdl.handle.net/11407/1413
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.spa.fl_str_mv http://www.ingentaconnect.com/content/asprs/pers/2012/00000078/00000001/art00004
dc.relation.ispartofen.eng.fl_str_mv Photogrammetric Engineering and Remote Sensing, enero de 2012, volume 78, issue1, pp 53-60
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.source.spa.fl_str_mv Scopus
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
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