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 Alejandro; Fischer, Maria De Los Angeles; Caride, Constanza; Aceñolaza, Pablo Gilberto; del Valle, Hector Francisco; Lillo Saavedra, Mario F.; Coronato, Fernando Raul; Opazo, Sergio A.; Morelli, Fabiano; Anaya Acevedo, Jesús Adolfo; 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.
Instituto de Clima y Agua
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. Escuela de Agronomía. Department of Forestry; 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 Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua, Argentina
Fil: Fischer, Maria De Los Angeles. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua, Argentina
Fil: Caride, Constanza. Instituto Nacional de Tecnología Agropecuaria (INTA). 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 Nacional de Entre Ríos; Argentina
Fil: del Valle, Hector Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Lillo Saavedra, Mario F. Universidad de Concepción. Department of Electronic Engineering; Chile
Fil: Coronato, Fernando Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Opazo, Sergio A.. Universidad de Magallanes. Science and Agricultural Technology School; Chile
Fil: Morelli, Fabiano. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Anaya Acevedo, Jesús Adolfo. Universidad de Medellin. Facultad de Ingeniería; 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
Fuente
Remote Sensing of Environment 132 : 13-31 (May 2013)
Materia
Vigilancia
Espectrorradiómetro de Imágenes de Resolución Moderada
Medio Ambiente
Cambio Climático
Monitoring
Moderate Resolution Imaging Spectroradiometer
Environment
Climate Change
Proyecto SERENA
América Latina
Caribe
MODIS
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/5300

id INTADig_dda1c1bf8b1d0ffe1a727e66466e606c
oai_identifier_str oai:localhost:20.500.12123/5300
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
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 AlejandroFischer, Maria De Los AngelesCaride, ConstanzaAceñolaza, Pablo Gilbertodel Valle, Hector FranciscoLillo Saavedra, Mario F.Coronato, Fernando RaulOpazo, Sergio A.Morelli, FabianoAnaya Acevedo, Jesús AdolfoSione, Walter FabianZamboni, PamelaBarrena Arroyo, VictorVigilanciaEspectrorradiómetro de Imágenes de Resolución ModeradaMedio AmbienteCambio ClimáticoMonitoringModerate Resolution Imaging SpectroradiometerEnvironmentClimate ChangeProyecto SERENAAmérica LatinaCaribeMODISLand 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.Instituto de Clima y AguaFil: 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. Escuela de Agronomía. Department of Forestry; 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 Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua, ArgentinaFil: Fischer, Maria De Los Angeles. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua, ArgentinaFil: Caride, Constanza. Instituto Nacional de Tecnología Agropecuaria (INTA). 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 Nacional de Entre Ríos; ArgentinaFil: del Valle, Hector Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Lillo Saavedra, Mario F. Universidad de Concepción. Department of Electronic Engineering; ChileFil: Coronato, Fernando Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: Opazo, Sergio A.. Universidad de Magallanes. Science and Agricultural Technology School; ChileFil: Morelli, Fabiano. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; BrasilFil: Anaya Acevedo, Jesús Adolfo. Universidad de Medellin. Facultad de Ingeniería; 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; PerúElsevier2019-06-12T12:26:43Z2019-06-12T12:26:43Z2013-05-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/5300https://www.sciencedirect.com/science/article/pii/S00344257130000350034-4257https://doi.org/10.1016/j.rse.2012.12.025Remote Sensing of Environment 132 : 13-31 (May 2013)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:41Zoai:localhost:20.500.12123/5300instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:41.809INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
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
Vigilancia
Espectrorradiómetro de Imágenes de Resolución Moderada
Medio Ambiente
Cambio Climático
Monitoring
Moderate Resolution Imaging Spectroradiometer
Environment
Climate Change
Proyecto SERENA
América Latina
Caribe
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 Alejandro
Fischer, Maria De Los Angeles
Caride, Constanza
Aceñolaza, Pablo Gilberto
del Valle, Hector Francisco
Lillo Saavedra, Mario F.
Coronato, Fernando Raul
Opazo, Sergio A.
Morelli, Fabiano
Anaya Acevedo, Jesús Adolfo
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 Alejandro
Fischer, Maria De Los Angeles
Caride, Constanza
Aceñolaza, Pablo Gilberto
del Valle, Hector Francisco
Lillo Saavedra, Mario F.
Coronato, Fernando Raul
Opazo, Sergio A.
Morelli, Fabiano
Anaya Acevedo, Jesús Adolfo
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 Alejandro
Fischer, Maria De Los Angeles
Caride, Constanza
Aceñolaza, Pablo Gilberto
del Valle, Hector Francisco
Lillo Saavedra, Mario F.
Coronato, Fernando Raul
Opazo, Sergio A.
Morelli, Fabiano
Anaya Acevedo, Jesús Adolfo
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 Vigilancia
Espectrorradiómetro de Imágenes de Resolución Moderada
Medio Ambiente
Cambio Climático
Monitoring
Moderate Resolution Imaging Spectroradiometer
Environment
Climate Change
Proyecto SERENA
América Latina
Caribe
MODIS
topic Vigilancia
Espectrorradiómetro de Imágenes de Resolución Moderada
Medio Ambiente
Cambio Climático
Monitoring
Moderate Resolution Imaging Spectroradiometer
Environment
Climate Change
Proyecto SERENA
América Latina
Caribe
MODIS
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.
Instituto de Clima y Agua
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. Escuela de Agronomía. Department of Forestry; 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 Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua, Argentina
Fil: Fischer, Maria De Los Angeles. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua, Argentina
Fil: Caride, Constanza. Instituto Nacional de Tecnología Agropecuaria (INTA). 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 Nacional de Entre Ríos; Argentina
Fil: del Valle, Hector Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Lillo Saavedra, Mario F. Universidad de Concepción. Department of Electronic Engineering; Chile
Fil: Coronato, Fernando Raul. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: Opazo, Sergio A.. Universidad de Magallanes. Science and Agricultural Technology School; Chile
Fil: Morelli, Fabiano. Centro de Previsao de Tempo e Estudos Climaticos. Instituto Nacional de Pesquisas Espaciais; Brasil
Fil: Anaya Acevedo, Jesús Adolfo. Universidad de Medellin. Facultad de Ingeniería; 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 2013-05-15
2019-06-12T12:26:43Z
2019-06-12T12:26:43Z
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/20.500.12123/5300
https://www.sciencedirect.com/science/article/pii/S0034425713000035
0034-4257
https://doi.org/10.1016/j.rse.2012.12.025
url http://hdl.handle.net/20.500.12123/5300
https://www.sciencedirect.com/science/article/pii/S0034425713000035
https://doi.org/10.1016/j.rse.2012.12.025
identifier_str_mv 0034-4257
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Remote Sensing of Environment 132 : 13-31 (May 2013)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1844619134924488704
score 12.559606