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