A land cover map of Latin America and the Caribbean in the framework of the SERENA project

Autores
Blanco, Paula Daniela; Colditz, Rene R.; López Saldaña, Gerardo; Hardtke, Leonardo Andrés; Llamas, Ricardo M.; Mari, Nicolás A.; Fischer, Angeles; Caride, Constanza; Aceñolaza, Pablo Gilberto; del Valle, Hector Francisco; Lillo Saavedra, Mario; Coronato, Fernando Raul; Opazo, Sergio A.; Morelli, Fabiano; Anaya, Jesús A.; Sione, Walter Fabian; Zamboni, Pamela; Barrena Arroyo, Victor
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Land cover maps at different resolutions and mapping extents contribute to modeling and support decision making processes. Because land cover affects and is affected by climate change, it is listed among the 13 terrestrial essential climate variables. This paper describes the generation of a land cover map for Latin America and the Caribbean (LAC) for the year 2008. It was developed in the framework of the project Latin American Network for Monitoring and Studying of Natural Resources (SERENA), which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLaTIF). The SERENA land cover map for LAC integrates: 1) the local expertise of SERENA network members to generate the training and validation data, 2) a methodology for land cover mapping based on decision trees using MODIS time series, and 3) class membership estimates to account for pixel heterogeneity issues. The discrete SERENA land cover product, derived from class memberships, yields an overall accuracy of 84% and includes an additional layer representing the estimated per-pixel confidence. The study demonstrates in detail the use of class memberships to better estimate the area of scarce classes with a scattered spatial distribution. The land cover map is already available as a printed wall map and will be released in digital format in the near future. The SERENA land cover map was produced with a legend and classification strategy similar to that used by the North American Land Change Monitoring System (NALCMS) to generate a land cover map of the North American continent, that will allow to combine both maps to generate consistent data across America facilitating continental monitoring and modeling.
Fil: Blanco, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Colditz, Rene R.. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad; México
Fil: López Saldaña, Gerardo. Universidade Técnica de Lisboa; Portugal
Fil: Hardtke, Leonardo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Llamas, Ricardo M.. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad; México
Fil: Mari, Nicolás A.. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Fischer, Angeles. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Caride, Constanza. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Aceñolaza, Pablo Gilberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción; Argentina. Universidad Autónoma de Entre Ríos; Argentina
Fil: del Valle, Hector Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Lillo Saavedra, Mario. Universidad de Concepción; Chile
Fil: Coronato, Fernando Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Opazo, Sergio A.. Universidad de Magallanes; Chile
Fil: Morelli, Fabiano. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Anaya, Jesús A.. Universidad de Medellin; Colombia
Fil: Sione, Walter Fabian. Universidad Autónoma de Entre Ríos; Argentina. Universidad Nacional de Lujan; Argentina
Fil: Zamboni, Pamela. Universidad Autónoma de Entre Ríos; Argentina
Fil: Barrena Arroyo, Victor. Universidad Nacional Agraria La Molina; Perú
Materia
Land Cover Classification
Class Memberships
Decision Trees
Modis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/5362
Acceder
id CONICETDig_464444870e7ca2c03be410fe4540d421
oai_identifier_str oai:ri.conicet.gov.ar:11336/5362
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A land cover map of Latin America and the Caribbean in the framework of the SERENA projectBlanco, Paula DanielaColditz, Rene R.López Saldaña, GerardoHardtke, Leonardo AndrésLlamas, Ricardo M.Mari, Nicolás A.Fischer, AngelesCaride, ConstanzaAceñolaza, Pablo Gilbertodel Valle, Hector FranciscoLillo Saavedra, MarioCoronato, Fernando RaulOpazo, Sergio A.Morelli, FabianoAnaya, Jesús A.Sione, Walter FabianZamboni, PamelaBarrena Arroyo, VictorLand Cover ClassificationClass MembershipsDecision TreesModishttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Land cover maps at different resolutions and mapping extents contribute to modeling and support decision making processes. Because land cover affects and is affected by climate change, it is listed among the 13 terrestrial essential climate variables. This paper describes the generation of a land cover map for Latin America and the Caribbean (LAC) for the year 2008. It was developed in the framework of the project Latin American Network for Monitoring and Studying of Natural Resources (SERENA), which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLaTIF). The SERENA land cover map for LAC integrates: 1) the local expertise of SERENA network members to generate the training and validation data, 2) a methodology for land cover mapping based on decision trees using MODIS time series, and 3) class membership estimates to account for pixel heterogeneity issues. The discrete SERENA land cover product, derived from class memberships, yields an overall accuracy of 84% and includes an additional layer representing the estimated per-pixel confidence. The study demonstrates in detail the use of class memberships to better estimate the area of scarce classes with a scattered spatial distribution. The land cover map is already available as a printed wall map and will be released in digital format in the near future. The SERENA land cover map was produced with a legend and classification strategy similar to that used by the North American Land Change Monitoring System (NALCMS) to generate a land cover map of the North American continent, that will allow to combine both maps to generate consistent data across America facilitating continental monitoring and modeling.Fil: Blanco, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Colditz, Rene R.. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad; MéxicoFil: López Saldaña, Gerardo. Universidade Técnica de Lisboa; PortugalFil: Hardtke, Leonardo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Llamas, Ricardo M.. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad; MéxicoFil: Mari, Nicolás A.. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; ArgentinaFil: Fischer, Angeles. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; ArgentinaFil: Caride, Constanza. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; ArgentinaFil: Aceñolaza, Pablo Gilberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción; Argentina. Universidad Autónoma de Entre Ríos; ArgentinaFil: del Valle, Hector Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Lillo Saavedra, Mario. Universidad de Concepción; ChileFil: Coronato, Fernando Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Opazo, Sergio A.. Universidad de Magallanes; ChileFil: Morelli, Fabiano. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; BrasilFil: Anaya, Jesús A.. Universidad de Medellin; ColombiaFil: Sione, Walter Fabian. Universidad Autónoma de Entre Ríos; Argentina. Universidad Nacional de Lujan; ArgentinaFil: Zamboni, Pamela. Universidad Autónoma de Entre Ríos; ArgentinaFil: Barrena Arroyo, Victor. Universidad Nacional Agraria La Molina; PerúElsevier2013-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/5362Blanco, Paula Daniela; Colditz, Rene R.; López Saldaña, Gerardo; Hardtke, Leonardo Andrés; Llamas, Ricardo M.; et al.; A land cover map of Latin America and the Caribbean in the framework of the SERENA project; Elsevier; Remote Sensing of Environment; 132; 12-2013; 13-310034-4257enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0034425713000035info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2012.12.025info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-02-06T12:25:47Zoai:ri.conicet.gov.ar:11336/5362instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-02-06 12:25:47.749CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A land cover map of Latin America and the Caribbean in the framework of the SERENA project
title A land cover map of Latin America and the Caribbean in the framework of the SERENA project
spellingShingle A land cover map of Latin America and the Caribbean in the framework of the SERENA project
Blanco, Paula Daniela
Land Cover Classification
Class Memberships
Decision Trees
Modis
title_short A land cover map of Latin America and the Caribbean in the framework of the SERENA project
title_full A land cover map of Latin America and the Caribbean in the framework of the SERENA project
title_fullStr A land cover map of Latin America and the Caribbean in the framework of the SERENA project
title_full_unstemmed A land cover map of Latin America and the Caribbean in the framework of the SERENA project
title_sort A land cover map of Latin America and the Caribbean in the framework of the SERENA project
dc.creator.none.fl_str_mv Blanco, Paula Daniela
Colditz, Rene R.
López Saldaña, Gerardo
Hardtke, Leonardo Andrés
Llamas, Ricardo M.
Mari, Nicolás A.
Fischer, Angeles
Caride, Constanza
Aceñolaza, Pablo Gilberto
del Valle, Hector Francisco
Lillo Saavedra, Mario
Coronato, Fernando Raul
Opazo, Sergio A.
Morelli, Fabiano
Anaya, Jesús A.
Sione, Walter Fabian
Zamboni, Pamela
Barrena Arroyo, Victor
author Blanco, Paula Daniela
author_facet Blanco, Paula Daniela
Colditz, Rene R.
López Saldaña, Gerardo
Hardtke, Leonardo Andrés
Llamas, Ricardo M.
Mari, Nicolás A.
Fischer, Angeles
Caride, Constanza
Aceñolaza, Pablo Gilberto
del Valle, Hector Francisco
Lillo Saavedra, Mario
Coronato, Fernando Raul
Opazo, Sergio A.
Morelli, Fabiano
Anaya, Jesús A.
Sione, Walter Fabian
Zamboni, Pamela
Barrena Arroyo, Victor
author_role author
author2 Colditz, Rene R.
López Saldaña, Gerardo
Hardtke, Leonardo Andrés
Llamas, Ricardo M.
Mari, Nicolás A.
Fischer, Angeles
Caride, Constanza
Aceñolaza, Pablo Gilberto
del Valle, Hector Francisco
Lillo Saavedra, Mario
Coronato, Fernando Raul
Opazo, Sergio A.
Morelli, Fabiano
Anaya, Jesús A.
Sione, Walter Fabian
Zamboni, Pamela
Barrena Arroyo, Victor
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Land Cover Classification
Class Memberships
Decision Trees
Modis
topic Land Cover Classification
Class Memberships
Decision Trees
Modis
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Land cover maps at different resolutions and mapping extents contribute to modeling and support decision making processes. Because land cover affects and is affected by climate change, it is listed among the 13 terrestrial essential climate variables. This paper describes the generation of a land cover map for Latin America and the Caribbean (LAC) for the year 2008. It was developed in the framework of the project Latin American Network for Monitoring and Studying of Natural Resources (SERENA), which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLaTIF). The SERENA land cover map for LAC integrates: 1) the local expertise of SERENA network members to generate the training and validation data, 2) a methodology for land cover mapping based on decision trees using MODIS time series, and 3) class membership estimates to account for pixel heterogeneity issues. The discrete SERENA land cover product, derived from class memberships, yields an overall accuracy of 84% and includes an additional layer representing the estimated per-pixel confidence. The study demonstrates in detail the use of class memberships to better estimate the area of scarce classes with a scattered spatial distribution. The land cover map is already available as a printed wall map and will be released in digital format in the near future. The SERENA land cover map was produced with a legend and classification strategy similar to that used by the North American Land Change Monitoring System (NALCMS) to generate a land cover map of the North American continent, that will allow to combine both maps to generate consistent data across America facilitating continental monitoring and modeling.
Fil: Blanco, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Colditz, Rene R.. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad; México
Fil: López Saldaña, Gerardo. Universidade Técnica de Lisboa; Portugal
Fil: Hardtke, Leonardo Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Llamas, Ricardo M.. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad; México
Fil: Mari, Nicolás A.. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Fischer, Angeles. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Caride, Constanza. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Aceñolaza, Pablo Gilberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones Científicas y Transferencia de Tecnología a la Producción; Argentina. Universidad Autónoma de Entre Ríos; Argentina
Fil: del Valle, Hector Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Lillo Saavedra, Mario. Universidad de Concepción; Chile
Fil: Coronato, Fernando Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Opazo, Sergio A.. Universidad de Magallanes; Chile
Fil: Morelli, Fabiano. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Anaya, Jesús A.. Universidad de Medellin; Colombia
Fil: Sione, Walter Fabian. Universidad Autónoma de Entre Ríos; Argentina. Universidad Nacional de Lujan; Argentina
Fil: Zamboni, Pamela. Universidad Autónoma de Entre Ríos; Argentina
Fil: Barrena Arroyo, Victor. Universidad Nacional Agraria La Molina; Perú
description Land cover maps at different resolutions and mapping extents contribute to modeling and support decision making processes. Because land cover affects and is affected by climate change, it is listed among the 13 terrestrial essential climate variables. This paper describes the generation of a land cover map for Latin America and the Caribbean (LAC) for the year 2008. It was developed in the framework of the project Latin American Network for Monitoring and Studying of Natural Resources (SERENA), which has been developed within the GOFC-GOLD Latin American network of remote sensing and forest fires (RedLaTIF). The SERENA land cover map for LAC integrates: 1) the local expertise of SERENA network members to generate the training and validation data, 2) a methodology for land cover mapping based on decision trees using MODIS time series, and 3) class membership estimates to account for pixel heterogeneity issues. The discrete SERENA land cover product, derived from class memberships, yields an overall accuracy of 84% and includes an additional layer representing the estimated per-pixel confidence. The study demonstrates in detail the use of class memberships to better estimate the area of scarce classes with a scattered spatial distribution. The land cover map is already available as a printed wall map and will be released in digital format in the near future. The SERENA land cover map was produced with a legend and classification strategy similar to that used by the North American Land Change Monitoring System (NALCMS) to generate a land cover map of the North American continent, that will allow to combine both maps to generate consistent data across America facilitating continental monitoring and modeling.
publishDate 2013
dc.date.none.fl_str_mv 2013-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/5362
Blanco, Paula Daniela; Colditz, Rene R.; López Saldaña, Gerardo; Hardtke, Leonardo Andrés; Llamas, Ricardo M.; et al.; A land cover map of Latin America and the Caribbean in the framework of the SERENA project; Elsevier; Remote Sensing of Environment; 132; 12-2013; 13-31
0034-4257
url http://hdl.handle.net/11336/5362
identifier_str_mv Blanco, Paula Daniela; Colditz, Rene R.; López Saldaña, Gerardo; Hardtke, Leonardo Andrés; Llamas, Ricardo M.; et al.; A land cover map of Latin America and the Caribbean in the framework of the SERENA project; Elsevier; Remote Sensing of Environment; 132; 12-2013; 13-31
0034-4257
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0034425713000035
info:eu-repo/semantics/altIdentifier/doi/
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.rse.2012.12.025
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.106097

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