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

Baeza, Santiago - Velez-Martín, Eduardo - de Abelleyra, Diego - Banchero, Santiago - Gallego, Federico - Schirmbeck, Juliano - Veron, Santiago - Vallejos, María - Weber, Eliseu - Oyarzabal, Mariano - Barbieri, Andrea - Petek, Mariana - Guerra Lara, Mariana - Sarahilé, Sofía - Baldi, Germán - Bagnato, Camilo - Bruzzone, Laura - Ramos, Sebastián - Hasenack, Heinrich

Resumen:

The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid 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-meter resolution that discriminate between 8 categories: native woody formation, 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 hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels.


Detalles Bibliográficos
2022
Agencia Nacional de Investigación e Innovación
MapBiomas
Universidad de la República. Comisión Sectorial de Investigación Científica
Land use change
Landsat Time series
Grasslands
Classification
Ciencias Naturales y Exactas
Ciencias de la Tierra y relacionadas con el Medio Ambiente
Inglés
Agencia Nacional de Investigación e Innovación
REDI
https://hdl.handle.net/20.500.12381/3183
Acceso abierto
Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)
_version_ 1814959266340012032
author Baeza, Santiago
author2 Velez-Martín, Eduardo
de Abelleyra, Diego
Banchero, Santiago
Gallego, Federico
Schirmbeck, Juliano
Veron, Santiago
Vallejos, María
Weber, Eliseu
Oyarzabal, Mariano
Barbieri, Andrea
Petek, Mariana
Guerra Lara, Mariana
Sarahilé, Sofía
Baldi, Germán
Bagnato, Camilo
Bruzzone, Laura
Ramos, Sebastián
Hasenack, Heinrich
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author_facet Baeza, Santiago
Velez-Martín, Eduardo
de Abelleyra, Diego
Banchero, Santiago
Gallego, Federico
Schirmbeck, Juliano
Veron, Santiago
Vallejos, María
Weber, Eliseu
Oyarzabal, Mariano
Barbieri, Andrea
Petek, Mariana
Guerra Lara, Mariana
Sarahilé, Sofía
Baldi, Germán
Bagnato, Camilo
Bruzzone, Laura
Ramos, Sebastián
Hasenack, Heinrich
author_role author
bitstream.checksum.fl_str_mv 3c9d86d36485746409b4281a0893d729
aaedf88a0133f24c849b3bd50bb73e5f
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3183/4/license.txt
https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3183/3/Baeza%20et%20al.%202022.pdf
collection REDI
dc.creator.none.fl_str_mv Baeza, Santiago
Velez-Martín, Eduardo
de Abelleyra, Diego
Banchero, Santiago
Gallego, Federico
Schirmbeck, Juliano
Veron, Santiago
Vallejos, María
Weber, Eliseu
Oyarzabal, Mariano
Barbieri, Andrea
Petek, Mariana
Guerra Lara, Mariana
Sarahilé, Sofía
Baldi, Germán
Bagnato, Camilo
Bruzzone, Laura
Ramos, Sebastián
Hasenack, Heinrich
dc.date.accessioned.none.fl_str_mv 2023-03-31T15:50:57Z
dc.date.available.none.fl_str_mv 2023-12-31T03:05:11Z
dc.date.issued.none.fl_str_mv 2022-09-01
dc.description.abstract.none.fl_txt_mv The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid 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-meter resolution that discriminate between 8 categories: native woody formation, 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 hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels.
dc.description.sponsorship.none.fl_txt_mv Agencia Nacional de Investigación e Innovación
MapBiomas
Universidad de la República. Comisión Sectorial de Investigación Científica
dc.identifier.anii.es.fl_str_mv FMV_3_2020_1_162279
FMV_1_2021_1_167032
FSA_PI_2018_1_149022
FSA_PI_2018_1_148811
dc.identifier.doi.none.fl_str_mv 10.1016/j.rsase.2022.100834
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12381/3183
dc.language.iso.none.fl_str_mv eng
dc.publisher.es.fl_str_mv Elsevier
dc.rights.*.fl_str_mv Acceso abierto
dc.rights.embargoterm.es.fl_str_mv 2023-10-01
2023-12-31
dc.rights.license.none.fl_str_mv Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.es.fl_str_mv Remote Sensing Applications: Society and Environment
dc.source.none.fl_str_mv reponame:REDI
instname:Agencia Nacional de Investigación e Innovación
instacron:Agencia Nacional de Investigación e Innovación
dc.subject.anii.none.fl_str_mv Ciencias Naturales y Exactas
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.es.fl_str_mv Land use change
Landsat Time series
Grasslands
Classification
dc.title.none.fl_str_mv Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative
dc.type.es.fl_str_mv Artículo
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.version.es.fl_str_mv Publicado
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid 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-meter resolution that discriminate between 8 categories: native woody formation, 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 hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels.
eu_rights_str_mv openAccess
format article
id REDI_d603d15346d84635bebb96d2e9c900b4
identifier_str_mv FMV_3_2020_1_162279
FMV_1_2021_1_167032
FSA_PI_2018_1_149022
FSA_PI_2018_1_148811
10.1016/j.rsase.2022.100834
instacron_str Agencia Nacional de Investigación e Innovación
institution Agencia Nacional de Investigación e Innovación
instname_str Agencia Nacional de Investigación e Innovación
language eng
network_acronym_str REDI
network_name_str REDI
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/3183
publishDate 2022
reponame_str REDI
repository.mail.fl_str_mv jmaldini@anii.org.uy
repository.name.fl_str_mv REDI - Agencia Nacional de Investigación e Innovación
repository_id_str 9421
rights_invalid_str_mv Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)
Acceso abierto
2023-10-01
2023-12-31
spelling Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional. (CC BY-NC-ND)Acceso abierto2023-10-012023-12-31info:eu-repo/semantics/openAccess2023-03-31T15:50:57Z2023-12-31T03:05:11Z2022-09-01https://hdl.handle.net/20.500.12381/3183FMV_3_2020_1_162279FMV_1_2021_1_167032FSA_PI_2018_1_149022FSA_PI_2018_1_14881110.1016/j.rsase.2022.100834The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid 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-meter resolution that discriminate between 8 categories: native woody formation, 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 hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels.Agencia Nacional de Investigación e InnovaciónMapBiomasUniversidad de la República. Comisión Sectorial de Investigación CientíficaengElsevierRemote Sensing Applications: Society and Environmentreponame:REDIinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e InnovaciónLand use changeLandsat Time seriesGrasslandsClassificationCiencias Naturales y ExactasCiencias de la Tierra y relacionadas con el Medio AmbienteTwo decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiativeArtículoPublicadoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUniversidad de la República. Facultad de CienciasInstituto Nacional de Investigación AgropecuariaUniversidad de la República. Facultad de AgronomíaInstituto Nacional de Tecnología AgropecuariaUniversidade Federal do Rio Grande do SulGeoKartenUniversidad de Buenos Aires. Facultad de AgronomíaUniversidad Nacional de San Luis//Ciencias Naturales y Exactas/Ciencias de la Tierra y relacionadas con el Medio Ambiente/Ciencias de la Tierra y relacionadas con el Medio AmbienteBaeza, SantiagoVelez-Martín, Eduardode Abelleyra, DiegoBanchero, SantiagoGallego, FedericoSchirmbeck, JulianoVeron, SantiagoVallejos, MaríaWeber, EliseuOyarzabal, MarianoBarbieri, AndreaPetek, MarianaGuerra Lara, MarianaSarahilé, SofíaBaldi, GermánBagnato, CamiloBruzzone, LauraRamos, SebastiánHasenack, HeinrichLICENSElicense.txtlicense.txttext/plain; charset=utf-84944https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3183/4/license.txt3c9d86d36485746409b4281a0893d729MD54ORIGINALBaeza et al. 2022.pdfBaeza et al. 2022.pdfapplication/pdf1510581https://redi.anii.org.uy/jspui/bitstream/20.500.12381/3183/3/Baeza%20et%20al.%202022.pdfaaedf88a0133f24c849b3bd50bb73e5fMD5320.500.12381/31832023-12-31 00:05:11.563oai:redi.anii.org.uy:20.500.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://www.anii.org.uy/https://redi.anii.org.uy/oai/requestjmaldini@anii.org.uyUruguayopendoar:94212023-12-31T03:05:11REDI - Agencia Nacional de Investigación e Innovaciónfalse
spellingShingle Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative
Baeza, Santiago
Land use change
Landsat Time series
Grasslands
Classification
Ciencias Naturales y Exactas
Ciencias de la Tierra y relacionadas con el Medio Ambiente
status_str publishedVersion
title Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative
title_full Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative
title_fullStr Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative
title_full_unstemmed Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative
title_short Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative
title_sort Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative
topic Land use change
Landsat Time series
Grasslands
Classification
Ciencias Naturales y Exactas
Ciencias de la Tierra y relacionadas con el Medio Ambiente
url https://hdl.handle.net/20.500.12381/3183