Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative
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...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
Elsevier
2022
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| Subjects: | |
| Online Access: | 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 |
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| author | 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_browse | Baeza, Santiago Bagnato, C. Baldi, Germán Banchero, Santiago Barbieri, A. Bruzzone, L. De Abelleyra, Diego Gallego, Federico Guerra Lara, M. Hasenack, H. Oyarzabal, Mariano Petek, Mariana Ramos, S. Sarrailhe, Sofía S. Schirmbeck, J. Vallejos, M. Velez-Martín, E. Veron, Santiago Ramón Weber, E. |
| 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_sort | Baeza, Santiago |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA13137 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA131372022-10-18T10:26:49Z Two decades of land cover mapping in the Rio de la Plata grassland region: The mapBiomas Pampa initiative 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. Land Use Change Imagery Time Series Analysis Grasslands Classification Cambio de Uso de la Tierra Imágenes Análisis de Series Cronológicas Praderas Clasificación 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 2022-10-18T10:10:26Z 2022-10-18T10:10:26Z 2022-09-08 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Remote Sensing Applications: Society and Environmental 28 : 100834 (November 2022) |
| spellingShingle | Land Use Change Imagery Time Series Analysis Grasslands Classification Cambio de Uso de la Tierra Imágenes Análisis de Series Cronológicas Praderas Clasificación 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. 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 |
| 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_short | 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 |
| topic | Land Use Change Imagery Time Series Analysis Grasslands Classification Cambio de Uso de la Tierra Imágenes Análisis de Series Cronológicas Praderas Clasificación |
| 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 |
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