Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative

Autores
Baeza, Santiago; Velez-Martín, E.; De Abelleyra, Diego; Banchero, Santiago; Gallego, Federico; Schirmbeck, J.; Veron, Santiago Ramón; Vallejos, M.; Weber, E.; Oyarzabal, Mariano; Barbieri, A.; Petek, Mariana; Guerra Lara, M.; Sarrailhe, Sofía S.; Baldi, Germán; Bagnato, C.; Bruzzone, L.; Ramos, S.; Hasenack, H.
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and subhumid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody forma tion, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hy potheses related to ecosystem structure and functioning. It will also contribute to improving deci sion-making at both the regional and national levels.
Fil: Baeza, Santiago. Universidad de la Republica. Facultad de Agronomía. Departamento de Sistemas Ambientales; Uruguay
Fil: Velez Martín, E. GeoKarten Consultoria em Tecnologia da Informação Ltda.; Brasil
Fil: Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Banchero, Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Gallego, Federico. Universidad de la República. Facultad de Ciencias; Uruguay
Fil: Schirmbeck, J. GeoKarten Consultoria em Tecnologia da Informação Ltda.; Brasil
Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fil: Vallejos, M. Instituto Nacional de Investigación Agropecuaria. Programa de Investigación en Producción y Sustentabilidad Ambiental. El Semillero; Uruguay
Fil: Weber, M. Universidade Federal do Rio Grande do Sul. Departamento Interdisciplinar e Programa de Pós-Graduação em Sensoriamento Remoto; Brasil
Fil: Oyarzabal, Mariano. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fil: Barbieri, A. Universidad Nacional de la República. Facultad de Ciencias. Departamento de Geografía; Uruguay
Fil: Petek, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Guerra Lara, M. Universidad Nacional de San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Matemática Aplicada de San Luis; Argentina
Fil: Sarrailhe, Sofia S. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
Fil: Baldi, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentina
Fil: Bagnato, C. Universidad Nacional de Río Negro. IRNAD; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. IRNAD; Argentina
Fil: Bruzzone, L. Universidad de la República. Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales; Uruguay
Fil: Ramos, S. Universidad de la República. Facultad de Ciencias. Departamento de Geografía; Uruguay
Fil: Hasenack, H. Universidade Federal do Rio Grande do Sul. Departamento de Ecologia. IB e Programa de Pós-Graduação em Agronegócios; Brasil
Fuente
Remote Sensing Applications: Society and Environmental 28 : 100834 (November 2022)
Materia
Land Use Change
Imagery
Time Series Analysis
Grasslands
Classification
Cambio de Uso de la Tierra
Imágenes
Análisis de Series Cronológicas
Praderas
Clasificación
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/13137

id INTADig_62c0bd51215ec24d3ca331c0b35d95f4
oai_identifier_str oai:localhost:20.500.12123/13137
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiativeBaeza, SantiagoVelez-Martín, E.De Abelleyra, DiegoBanchero, SantiagoGallego, FedericoSchirmbeck, J.Veron, Santiago RamónVallejos, M.Weber, E.Oyarzabal, MarianoBarbieri, A.Petek, MarianaGuerra Lara, M.Sarrailhe, Sofía S.Baldi, GermánBagnato, C.Bruzzone, L.Ramos, S.Hasenack, H.Land Use ChangeImageryTime Series AnalysisGrasslandsClassificationCambio de Uso de la TierraImágenesAnálisis de Series CronológicasPraderasClasificaciónThe Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and subhumid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody forma tion, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hy potheses related to ecosystem structure and functioning. It will also contribute to improving deci sion-making at both the regional and national levels.Fil: Baeza, Santiago. Universidad de la Republica. Facultad de Agronomía. Departamento de Sistemas Ambientales; UruguayFil: Velez Martín, E. GeoKarten Consultoria em Tecnologia da Informação Ltda.; BrasilFil: Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Banchero, Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Gallego, Federico. Universidad de la República. Facultad de Ciencias; UruguayFil: Schirmbeck, J. GeoKarten Consultoria em Tecnologia da Informação Ltda.; BrasilFil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; ArgentinaFil: Vallejos, M. Instituto Nacional de Investigación Agropecuaria. Programa de Investigación en Producción y Sustentabilidad Ambiental. El Semillero; UruguayFil: Weber, M. Universidade Federal do Rio Grande do Sul. Departamento Interdisciplinar e Programa de Pós-Graduação em Sensoriamento Remoto; BrasilFil: Oyarzabal, Mariano. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; ArgentinaFil: Barbieri, A. Universidad Nacional de la República. Facultad de Ciencias. Departamento de Geografía; UruguayFil: Petek, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Guerra Lara, M. Universidad Nacional de San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Matemática Aplicada de San Luis; ArgentinaFil: Sarrailhe, Sofia S. Universidad de Buenos Aires. Facultad de Agronomía; ArgentinaFil: Baldi, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; ArgentinaFil: Bagnato, C. Universidad Nacional de Río Negro. IRNAD; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. IRNAD; ArgentinaFil: Bruzzone, L. Universidad de la República. Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales; UruguayFil: Ramos, S. Universidad de la República. Facultad de Ciencias. Departamento de Geografía; UruguayFil: Hasenack, H. Universidade Federal do Rio Grande do Sul. Departamento de Ecologia. IB e Programa de Pós-Graduação em Agronegócios; BrasilElsevier2022-10-18T10:10:26Z2022-10-18T10:10:26Z2022-09-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/13137https://www.sciencedirect.com/science/article/abs/pii/S23529385220014222352-9385https://doi.org/10.1016/j.rsase.2022.100834Remote Sensing Applications: Society and Environmental 28 : 100834 (November 2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-10-30T11:24:08Zoai:localhost:20.500.12123/13137instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-30 11:24:08.751INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative
title Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative
spellingShingle Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative
Baeza, Santiago
Land Use Change
Imagery
Time Series Analysis
Grasslands
Classification
Cambio de Uso de la Tierra
Imágenes
Análisis de Series Cronológicas
Praderas
Clasificación
title_short Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative
title_full Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative
title_fullStr Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative
title_full_unstemmed Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative
title_sort Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative
dc.creator.none.fl_str_mv Baeza, Santiago
Velez-Martín, E.
De Abelleyra, Diego
Banchero, Santiago
Gallego, Federico
Schirmbeck, J.
Veron, Santiago Ramón
Vallejos, M.
Weber, E.
Oyarzabal, Mariano
Barbieri, A.
Petek, Mariana
Guerra Lara, M.
Sarrailhe, Sofía S.
Baldi, Germán
Bagnato, C.
Bruzzone, L.
Ramos, S.
Hasenack, H.
author Baeza, Santiago
author_facet Baeza, Santiago
Velez-Martín, E.
De Abelleyra, Diego
Banchero, Santiago
Gallego, Federico
Schirmbeck, J.
Veron, Santiago Ramón
Vallejos, M.
Weber, E.
Oyarzabal, Mariano
Barbieri, A.
Petek, Mariana
Guerra Lara, M.
Sarrailhe, Sofía S.
Baldi, Germán
Bagnato, C.
Bruzzone, L.
Ramos, S.
Hasenack, H.
author_role author
author2 Velez-Martín, E.
De Abelleyra, Diego
Banchero, Santiago
Gallego, Federico
Schirmbeck, J.
Veron, Santiago Ramón
Vallejos, M.
Weber, E.
Oyarzabal, Mariano
Barbieri, A.
Petek, Mariana
Guerra Lara, M.
Sarrailhe, Sofía S.
Baldi, Germán
Bagnato, C.
Bruzzone, L.
Ramos, S.
Hasenack, H.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Land Use Change
Imagery
Time Series Analysis
Grasslands
Classification
Cambio de Uso de la Tierra
Imágenes
Análisis de Series Cronológicas
Praderas
Clasificación
topic Land Use Change
Imagery
Time Series Analysis
Grasslands
Classification
Cambio de Uso de la Tierra
Imágenes
Análisis de Series Cronológicas
Praderas
Clasificación
dc.description.none.fl_txt_mv The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and subhumid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody forma tion, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hy potheses related to ecosystem structure and functioning. It will also contribute to improving deci sion-making at both the regional and national levels.
Fil: Baeza, Santiago. Universidad de la Republica. Facultad de Agronomía. Departamento de Sistemas Ambientales; Uruguay
Fil: Velez Martín, E. GeoKarten Consultoria em Tecnologia da Informação Ltda.; Brasil
Fil: Abelleyra, Diego. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Banchero, Santiago. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Gallego, Federico. Universidad de la República. Facultad de Ciencias; Uruguay
Fil: Schirmbeck, J. GeoKarten Consultoria em Tecnologia da Informação Ltda.; Brasil
Fil: Verón, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fil: Vallejos, M. Instituto Nacional de Investigación Agropecuaria. Programa de Investigación en Producción y Sustentabilidad Ambiental. El Semillero; Uruguay
Fil: Weber, M. Universidade Federal do Rio Grande do Sul. Departamento Interdisciplinar e Programa de Pós-Graduação em Sensoriamento Remoto; Brasil
Fil: Oyarzabal, Mariano. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fil: Barbieri, A. Universidad Nacional de la República. Facultad de Ciencias. Departamento de Geografía; Uruguay
Fil: Petek, Mariana. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Guerra Lara, M. Universidad Nacional de San Luis. Instituto de Matemática Aplicada de San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Matemática Aplicada de San Luis; Argentina
Fil: Sarrailhe, Sofia S. Universidad de Buenos Aires. Facultad de Agronomía; Argentina
Fil: Baldi, Germán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico San Luis. Instituto de Matemática Aplicada de San Luis. Grupo de Estudios Ambientales; Argentina. Universidad Nacional de San Luis; Argentina
Fil: Bagnato, C. Universidad Nacional de Río Negro. IRNAD; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. IRNAD; Argentina
Fil: Bruzzone, L. Universidad de la República. Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales; Uruguay
Fil: Ramos, S. Universidad de la República. Facultad de Ciencias. Departamento de Geografía; Uruguay
Fil: Hasenack, H. Universidade Federal do Rio Grande do Sul. Departamento de Ecologia. IB e Programa de Pós-Graduação em Agronegócios; Brasil
description The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and subhumid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody forma tion, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hy potheses related to ecosystem structure and functioning. It will also contribute to improving deci sion-making at both the regional and national levels.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-18T10:10:26Z
2022-10-18T10:10:26Z
2022-09-08
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/20.500.12123/13137
https://www.sciencedirect.com/science/article/abs/pii/S2352938522001422
2352-9385
https://doi.org/10.1016/j.rsase.2022.100834
url http://hdl.handle.net/20.500.12123/13137
https://www.sciencedirect.com/science/article/abs/pii/S2352938522001422
https://doi.org/10.1016/j.rsase.2022.100834
identifier_str_mv 2352-9385
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 Applications: Society and Environmental 28 : 100834 (November 2022)
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_ 1847419469227360256
score 12.589754