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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/168483

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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)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
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