Recent land use and land cover change dinamics in the Gran Chaco Americano
Land transformation is one of the most significant human changes on the Earth’s surface processes. Therefore, land use land cover time series are a key input for environmental monitoring, natural resources management, territorial planning enforcement at national scale. We here capitalize from the Ma...
| Main Authors: | , , , , , |
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| Format: | Conferencia |
| Language: | Inglés |
| Published: |
LAGIRS
2020
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/8133 |
| _version_ | 1855484139677941760 |
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| author | Banchero, Santiago De Abelleyra, Diego Veron, Santiago Ramón Mosciaro, Maria Jesus Arevalos, Fabiana Volante, Jose Norberto |
| author_browse | Arevalos, Fabiana Banchero, Santiago De Abelleyra, Diego Mosciaro, Maria Jesus Veron, Santiago Ramón Volante, Jose Norberto |
| author_facet | Banchero, Santiago De Abelleyra, Diego Veron, Santiago Ramón Mosciaro, Maria Jesus Arevalos, Fabiana Volante, Jose Norberto |
| author_sort | Banchero, Santiago |
| collection | INTA Digital |
| description | Land transformation is one of the most significant human changes on the Earth’s surface processes. Therefore, land use land cover time series are a key input for environmental monitoring, natural resources management, territorial planning enforcement at national scale. We here capitalize from the MapBiomas initiative to characterize land use land cover (LULC) change in the Gran Chaco between 2010 and 2017. Specifically we sought to a) quantify annual changes in the main LULC classes; b) identify the main LULC transitions and c) relate these transitions to current land use policies. Within the MapBiomas project, Landsat based annual maps depicting natural woody vegetation, natural herbaceous vegetation, dispersed natural vegetation, cropland, pastures, bare areas and water. We used Random Forest machine learning algorithms trained by samples produced by visual interpretation of high resolution images. Annual overall accuracy ranged from 0,73 to 0,74. Our results showed that, between 2010 and 2017, agriculture and pasture lands increased ca. 3.7 Mha while natural forestry decreased by 2.3 Mha. Transitions from forests to agriculture accounted for 1.14% of the overall deforestation while 86% was associated to pastures and natural herbaceous vegetation. In Argentina, forest loss occurred primarily (39%) on areas non considered by the territorial planning Law, followed by medium (33%), high (19%) and low (9%) conservation priority classes. These results illustrate the potential contribution of remote sensing to characterize complex human environmental interactions occurring over extended areas and timeframes. |
| format | Conferencia |
| id | INTA8133 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | LAGIRS |
| publisherStr | LAGIRS |
| record_format | dspace |
| spelling | INTA81332020-10-27T11:51:10Z Recent land use and land cover change dinamics in the Gran Chaco Americano Banchero, Santiago De Abelleyra, Diego Veron, Santiago Ramón Mosciaro, Maria Jesus Arevalos, Fabiana Volante, Jose Norberto Utilización de la Tierra Teledetección Land Use Remote Sensing Land Cover Cobertura de Suelos Región Chaqueña Gran Chaco, Argentina Land transformation is one of the most significant human changes on the Earth’s surface processes. Therefore, land use land cover time series are a key input for environmental monitoring, natural resources management, territorial planning enforcement at national scale. We here capitalize from the MapBiomas initiative to characterize land use land cover (LULC) change in the Gran Chaco between 2010 and 2017. Specifically we sought to a) quantify annual changes in the main LULC classes; b) identify the main LULC transitions and c) relate these transitions to current land use policies. Within the MapBiomas project, Landsat based annual maps depicting natural woody vegetation, natural herbaceous vegetation, dispersed natural vegetation, cropland, pastures, bare areas and water. We used Random Forest machine learning algorithms trained by samples produced by visual interpretation of high resolution images. Annual overall accuracy ranged from 0,73 to 0,74. Our results showed that, between 2010 and 2017, agriculture and pasture lands increased ca. 3.7 Mha while natural forestry decreased by 2.3 Mha. Transitions from forests to agriculture accounted for 1.14% of the overall deforestation while 86% was associated to pastures and natural herbaceous vegetation. In Argentina, forest loss occurred primarily (39%) on areas non considered by the territorial planning Law, followed by medium (33%), high (19%) and low (9%) conservation priority classes. These results illustrate the potential contribution of remote sensing to characterize complex human environmental interactions occurring over extended areas and timeframes. Fil: Banchero, S. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: de Abelleyra, D. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Verón, S.R. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Arevalos, F. Asociación Guyra Paraguay; Paraguay Fil: Volante, J.N. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina Fil: Mosciaro, M.J. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Salta; Argentina 2020-10-27T11:32:11Z 2020-10-27T11:32:11Z 2020-03-24 info:ar-repo/semantics/documento de conferencia info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/8133 978-1-7281-4350-7 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf LAGIRS LAGIRS 2020 Conferencia Latinoamericana de Teledetección GRSS & ISPRS, 22 al 26 de marzo de 2020, Santiago de Chile p. 511-514 |
| spellingShingle | Utilización de la Tierra Teledetección Land Use Remote Sensing Land Cover Cobertura de Suelos Región Chaqueña Gran Chaco, Argentina Banchero, Santiago De Abelleyra, Diego Veron, Santiago Ramón Mosciaro, Maria Jesus Arevalos, Fabiana Volante, Jose Norberto Recent land use and land cover change dinamics in the Gran Chaco Americano |
| title | Recent land use and land cover change dinamics in the Gran Chaco Americano |
| title_full | Recent land use and land cover change dinamics in the Gran Chaco Americano |
| title_fullStr | Recent land use and land cover change dinamics in the Gran Chaco Americano |
| title_full_unstemmed | Recent land use and land cover change dinamics in the Gran Chaco Americano |
| title_short | Recent land use and land cover change dinamics in the Gran Chaco Americano |
| title_sort | recent land use and land cover change dinamics in the gran chaco americano |
| topic | Utilización de la Tierra Teledetección Land Use Remote Sensing Land Cover Cobertura de Suelos Región Chaqueña Gran Chaco, Argentina |
| url | http://hdl.handle.net/20.500.12123/8133 |
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