Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series.
- Autores
- Baeza, Santiago; Paruelo, José
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Latin America in general and the Rio de la Plata Grasslands (RPG) in particular, are one of the regions in the world with the highest rates of change in land use/land cover (LULC) in recent times. Despite the magnitude of this change process, LULC descriptions in the RPG are far from being complete, even more those that evaluate LULC change through time. In this work we described LULC and its changes over time for the first 14 years of the 21st century and for the entire grassland biome of the Rio de la Plata, one of the most extensive grassland regions in the world. We performed simple but exhaustive classifications at regional level based on vegetation phenology, using extensive LULC field database, time series of MODIS NDVI satellite images and decision trees classifiers, generating an annual map for all RPG. The used technique achieved very good levels of accuracy at the regional (94.3%-95.5%) and sub-regional (78.2%-97.6%) scales, with commission and omission errors generally low (Min = 0.6, Max = 10.3, Median = 5.7, and Min = 0, Max = 41.8, Median = 6.8 for regional and sub regional classification respectively) and evenly distributed, but fails when LULC classifications are generated in years when the climate is very different from those used to generate spectral signatures and train decision trees, or when the NDVI time series accumulates large volumes of lost data. Our results show that the RPG are immersed in a strong process of land use change, mainly due to the advance of the agricultural frontier and at the expense of loss of grassland areas. The agricultural area increased 23% in the analyzed period, adding over than 50,000 Km2 of new crops. Most agricultural expansion, and therefore the greatest losses of grassland, concentrates on both sides of Uruguay river (Mesopotamic Pampa and the western portion of Southern and Northern Campos) and the western portion of Inland Pampa. The generated maps open the door for more detailed and spatially explicit modeling of many important aspects of ecosystem functioning, for quantification in the provision of ecosystem services and for more efficient management of natural resources.
Fil: Baeza, Santiago. Universidad de la Republica; Uruguay
Fil: Paruelo, José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Instituto de Investigaciones Agropecuarias; Chile. Universidad de la República; Uruguay - Materia
-
GRASSLAND LOSSES
MODIS NDVI
PHENOLOGICAL CLASSIFICATIONS
RIO DE LA PLATA GRASSSLANDS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/168483
Ver los metadatos del registro completo
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spelling |
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series.Baeza, SantiagoParuelo, JoséGRASSLAND LOSSESMODIS NDVIPHENOLOGICAL CLASSIFICATIONSRIO DE LA PLATA GRASSSLANDShttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Latin America in general and the Rio de la Plata Grasslands (RPG) in particular, are one of the regions in the world with the highest rates of change in land use/land cover (LULC) in recent times. Despite the magnitude of this change process, LULC descriptions in the RPG are far from being complete, even more those that evaluate LULC change through time. In this work we described LULC and its changes over time for the first 14 years of the 21st century and for the entire grassland biome of the Rio de la Plata, one of the most extensive grassland regions in the world. We performed simple but exhaustive classifications at regional level based on vegetation phenology, using extensive LULC field database, time series of MODIS NDVI satellite images and decision trees classifiers, generating an annual map for all RPG. The used technique achieved very good levels of accuracy at the regional (94.3%-95.5%) and sub-regional (78.2%-97.6%) scales, with commission and omission errors generally low (Min = 0.6, Max = 10.3, Median = 5.7, and Min = 0, Max = 41.8, Median = 6.8 for regional and sub regional classification respectively) and evenly distributed, but fails when LULC classifications are generated in years when the climate is very different from those used to generate spectral signatures and train decision trees, or when the NDVI time series accumulates large volumes of lost data. Our results show that the RPG are immersed in a strong process of land use change, mainly due to the advance of the agricultural frontier and at the expense of loss of grassland areas. The agricultural area increased 23% in the analyzed period, adding over than 50,000 Km2 of new crops. Most agricultural expansion, and therefore the greatest losses of grassland, concentrates on both sides of Uruguay river (Mesopotamic Pampa and the western portion of Southern and Northern Campos) and the western portion of Inland Pampa. The generated maps open the door for more detailed and spatially explicit modeling of many important aspects of ecosystem functioning, for quantification in the provision of ecosystem services and for more efficient management of natural resources.Fil: Baeza, Santiago. Universidad de la Republica; UruguayFil: Paruelo, José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Instituto de Investigaciones Agropecuarias; Chile. Universidad de la República; UruguayMultidisciplinary Digital Publishing Institute2020-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/168483Baeza, Santiago; Paruelo, José; Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series.; Multidisciplinary Digital Publishing Institute; Remote Sensing; 12; 3; 1-2020; 1-222072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/rs12030381info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/12/3/381info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:05:53Zoai:ri.conicet.gov.ar:11336/168483instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:05:53.545CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series. |
title |
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series. |
spellingShingle |
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series. Baeza, Santiago GRASSLAND LOSSES MODIS NDVI PHENOLOGICAL CLASSIFICATIONS RIO DE LA PLATA GRASSSLANDS |
title_short |
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series. |
title_full |
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series. |
title_fullStr |
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series. |
title_full_unstemmed |
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series. |
title_sort |
Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series. |
dc.creator.none.fl_str_mv |
Baeza, Santiago Paruelo, José |
author |
Baeza, Santiago |
author_facet |
Baeza, Santiago Paruelo, José |
author_role |
author |
author2 |
Paruelo, José |
author2_role |
author |
dc.subject.none.fl_str_mv |
GRASSLAND LOSSES MODIS NDVI PHENOLOGICAL CLASSIFICATIONS RIO DE LA PLATA GRASSSLANDS |
topic |
GRASSLAND LOSSES MODIS NDVI PHENOLOGICAL CLASSIFICATIONS RIO DE LA PLATA GRASSSLANDS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.1 https://purl.org/becyt/ford/4 |
dc.description.none.fl_txt_mv |
Latin America in general and the Rio de la Plata Grasslands (RPG) in particular, are one of the regions in the world with the highest rates of change in land use/land cover (LULC) in recent times. Despite the magnitude of this change process, LULC descriptions in the RPG are far from being complete, even more those that evaluate LULC change through time. In this work we described LULC and its changes over time for the first 14 years of the 21st century and for the entire grassland biome of the Rio de la Plata, one of the most extensive grassland regions in the world. We performed simple but exhaustive classifications at regional level based on vegetation phenology, using extensive LULC field database, time series of MODIS NDVI satellite images and decision trees classifiers, generating an annual map for all RPG. The used technique achieved very good levels of accuracy at the regional (94.3%-95.5%) and sub-regional (78.2%-97.6%) scales, with commission and omission errors generally low (Min = 0.6, Max = 10.3, Median = 5.7, and Min = 0, Max = 41.8, Median = 6.8 for regional and sub regional classification respectively) and evenly distributed, but fails when LULC classifications are generated in years when the climate is very different from those used to generate spectral signatures and train decision trees, or when the NDVI time series accumulates large volumes of lost data. Our results show that the RPG are immersed in a strong process of land use change, mainly due to the advance of the agricultural frontier and at the expense of loss of grassland areas. The agricultural area increased 23% in the analyzed period, adding over than 50,000 Km2 of new crops. Most agricultural expansion, and therefore the greatest losses of grassland, concentrates on both sides of Uruguay river (Mesopotamic Pampa and the western portion of Southern and Northern Campos) and the western portion of Inland Pampa. The generated maps open the door for more detailed and spatially explicit modeling of many important aspects of ecosystem functioning, for quantification in the provision of ecosystem services and for more efficient management of natural resources. Fil: Baeza, Santiago. Universidad de la Republica; Uruguay Fil: Paruelo, José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Instituto de Investigaciones Agropecuarias; Chile. Universidad de la República; Uruguay |
description |
Latin America in general and the Rio de la Plata Grasslands (RPG) in particular, are one of the regions in the world with the highest rates of change in land use/land cover (LULC) in recent times. Despite the magnitude of this change process, LULC descriptions in the RPG are far from being complete, even more those that evaluate LULC change through time. In this work we described LULC and its changes over time for the first 14 years of the 21st century and for the entire grassland biome of the Rio de la Plata, one of the most extensive grassland regions in the world. We performed simple but exhaustive classifications at regional level based on vegetation phenology, using extensive LULC field database, time series of MODIS NDVI satellite images and decision trees classifiers, generating an annual map for all RPG. The used technique achieved very good levels of accuracy at the regional (94.3%-95.5%) and sub-regional (78.2%-97.6%) scales, with commission and omission errors generally low (Min = 0.6, Max = 10.3, Median = 5.7, and Min = 0, Max = 41.8, Median = 6.8 for regional and sub regional classification respectively) and evenly distributed, but fails when LULC classifications are generated in years when the climate is very different from those used to generate spectral signatures and train decision trees, or when the NDVI time series accumulates large volumes of lost data. Our results show that the RPG are immersed in a strong process of land use change, mainly due to the advance of the agricultural frontier and at the expense of loss of grassland areas. The agricultural area increased 23% in the analyzed period, adding over than 50,000 Km2 of new crops. Most agricultural expansion, and therefore the greatest losses of grassland, concentrates on both sides of Uruguay river (Mesopotamic Pampa and the western portion of Southern and Northern Campos) and the western portion of Inland Pampa. The generated maps open the door for more detailed and spatially explicit modeling of many important aspects of ecosystem functioning, for quantification in the provision of ecosystem services and for more efficient management of natural resources. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01 |
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/11336/168483 Baeza, Santiago; Paruelo, José; Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series.; Multidisciplinary Digital Publishing Institute; Remote Sensing; 12; 3; 1-2020; 1-22 2072-4292 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/168483 |
identifier_str_mv |
Baeza, Santiago; Paruelo, José; Land Use/Land Cover Change (2000-2014) in the Rio de la Plata Grasslands: An Analysis Based on MODIS NDVI Time Series.; Multidisciplinary Digital Publishing Institute; Remote Sensing; 12; 3; 1-2020; 1-22 2072-4292 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs12030381 info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/12/3/381 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613900593528832 |
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13.070432 |