Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions

Autores
Agost, Lisandro; Velázquez, Guillermo Ángel
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The agro-industrial production of genetically modified organisms uses great amounts of pesticides, close to cities, which generates growing concern due to the numerous evidence of their negative effects on health and the environment. In a context of the lack, or inaccessibility, of official data on crop dynamics and pesticide use, environmental indicators using satellite data are needed for the proper monitoring of peri-urban areas. The objective of this research is to make a crop proximity index using satellite information to assess and monitor peri-urban agro-industrial activity. Twenty cities in Argentina and ten in the United States were selected. The CPI index is designed to evaluate a city and its peri-urban areas as a whole by taking account of the land uses and factors that can potentially influence the proximity to agro-industrial activity to the population living in those cities. Agriculture factor was weighted by proximity or remoteness using perimeter rings from the urban edge. All the necessary data for the calculation of the CPI index were obtained through the classification and processing of Sentinel 2 satellite images with software and the Google Earth Engine platform. The results show a worrying situation, 90% of cities in Argentina and 80% in the United States have a negative CPI. Most of the cities examined are extremely close to extensive areas of crops, that use a high amount of pesticides and which do not have the protection of trees or buffer zones.
Fil: Agost, Lisandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Velázquez, Guillermo Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
Materia
ENVIRONMENTAL INDEX
INTENSIVE FARMING
TREE COVER
BUFFER ZONE
PESTICIDES
PERI-URBAN
ECOSYSTEM CHANGE
ENVIRONMENTAL ASSESSMENT
NATURAL RESOURCE MANAGEMENT
SUSTAINABLE DEVELOPMENT
URBANIZATION
ENVIRONMENTAL POLLUTION
ENVIRONMENTAL RISK ASSESSMENT
ENVIRONMENTAL SCIENCE
AGRICULTURE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/125083
Acceder
id CONICETDig_4eb2a67ffaa2b085a679a4ea2e6ba8da
oai_identifier_str oai:ri.conicet.gov.ar:11336/125083
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regionsAgost, LisandroVelázquez, Guillermo ÁngelENVIRONMENTAL INDEXINTENSIVE FARMINGTREE COVERBUFFER ZONEPESTICIDESPERI-URBANECOSYSTEM CHANGEENVIRONMENTAL ASSESSMENTNATURAL RESOURCE MANAGEMENTSUSTAINABLE DEVELOPMENTURBANIZATIONENVIRONMENTAL POLLUTIONENVIRONMENTAL RISK ASSESSMENTENVIRONMENTAL SCIENCEAGRICULTUREhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1https://purl.org/becyt/ford/4.5https://purl.org/becyt/ford/4https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1The agro-industrial production of genetically modified organisms uses great amounts of pesticides, close to cities, which generates growing concern due to the numerous evidence of their negative effects on health and the environment. In a context of the lack, or inaccessibility, of official data on crop dynamics and pesticide use, environmental indicators using satellite data are needed for the proper monitoring of peri-urban areas. The objective of this research is to make a crop proximity index using satellite information to assess and monitor peri-urban agro-industrial activity. Twenty cities in Argentina and ten in the United States were selected. The CPI index is designed to evaluate a city and its peri-urban areas as a whole by taking account of the land uses and factors that can potentially influence the proximity to agro-industrial activity to the population living in those cities. Agriculture factor was weighted by proximity or remoteness using perimeter rings from the urban edge. All the necessary data for the calculation of the CPI index were obtained through the classification and processing of Sentinel 2 satellite images with software and the Google Earth Engine platform. The results show a worrying situation, 90% of cities in Argentina and 80% in the United States have a negative CPI. Most of the cities examined are extremely close to extensive areas of crops, that use a high amount of pesticides and which do not have the protection of trees or buffer zones.Fil: Agost, Lisandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; ArgentinaFil: Velázquez, Guillermo Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; ArgentinaElsevier2020-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/125083Agost, Lisandro; Velázquez, Guillermo Ángel; Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions; Elsevier; Heliyon; 6; 7; 1-7-2020; 1-11; E043822405-8440CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2405844020312263info:eu-repo/semantics/altIdentifier/doi/10.1016/j.heliyon.2020.e04382info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:25:28Zoai:ri.conicet.gov.ar:11336/125083instacron: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:34982025-10-15 15:25:29.035CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions
title Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions
spellingShingle Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions
Agost, Lisandro
ENVIRONMENTAL INDEX
INTENSIVE FARMING
TREE COVER
BUFFER ZONE
PESTICIDES
PERI-URBAN
ECOSYSTEM CHANGE
ENVIRONMENTAL ASSESSMENT
NATURAL RESOURCE MANAGEMENT
SUSTAINABLE DEVELOPMENT
URBANIZATION
ENVIRONMENTAL POLLUTION
ENVIRONMENTAL RISK ASSESSMENT
ENVIRONMENTAL SCIENCE
AGRICULTURE
title_short Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions
title_full Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions
title_fullStr Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions
title_full_unstemmed Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions
title_sort Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions
dc.creator.none.fl_str_mv Agost, Lisandro
Velázquez, Guillermo Ángel
author Agost, Lisandro
author_facet Agost, Lisandro
Velázquez, Guillermo Ángel
author_role author
author2 Velázquez, Guillermo Ángel
author2_role author
dc.subject.none.fl_str_mv ENVIRONMENTAL INDEX
INTENSIVE FARMING
TREE COVER
BUFFER ZONE
PESTICIDES
PERI-URBAN
ECOSYSTEM CHANGE
ENVIRONMENTAL ASSESSMENT
NATURAL RESOURCE MANAGEMENT
SUSTAINABLE DEVELOPMENT
URBANIZATION
ENVIRONMENTAL POLLUTION
ENVIRONMENTAL RISK ASSESSMENT
ENVIRONMENTAL SCIENCE
AGRICULTURE
topic ENVIRONMENTAL INDEX
INTENSIVE FARMING
TREE COVER
BUFFER ZONE
PESTICIDES
PERI-URBAN
ECOSYSTEM CHANGE
ENVIRONMENTAL ASSESSMENT
NATURAL RESOURCE MANAGEMENT
SUSTAINABLE DEVELOPMENT
URBANIZATION
ENVIRONMENTAL POLLUTION
ENVIRONMENTAL RISK ASSESSMENT
ENVIRONMENTAL SCIENCE
AGRICULTURE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The agro-industrial production of genetically modified organisms uses great amounts of pesticides, close to cities, which generates growing concern due to the numerous evidence of their negative effects on health and the environment. In a context of the lack, or inaccessibility, of official data on crop dynamics and pesticide use, environmental indicators using satellite data are needed for the proper monitoring of peri-urban areas. The objective of this research is to make a crop proximity index using satellite information to assess and monitor peri-urban agro-industrial activity. Twenty cities in Argentina and ten in the United States were selected. The CPI index is designed to evaluate a city and its peri-urban areas as a whole by taking account of the land uses and factors that can potentially influence the proximity to agro-industrial activity to the population living in those cities. Agriculture factor was weighted by proximity or remoteness using perimeter rings from the urban edge. All the necessary data for the calculation of the CPI index were obtained through the classification and processing of Sentinel 2 satellite images with software and the Google Earth Engine platform. The results show a worrying situation, 90% of cities in Argentina and 80% in the United States have a negative CPI. Most of the cities examined are extremely close to extensive areas of crops, that use a high amount of pesticides and which do not have the protection of trees or buffer zones.
Fil: Agost, Lisandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Investigaciones Biológicas y Tecnológicas. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Instituto de Investigaciones Biológicas y Tecnológicas; Argentina
Fil: Velázquez, Guillermo Ángel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Instituto de Geografía, Historia y Ciencias Sociales. Universidad Nacional del Centro de la Provincia de Buenos Aires. Instituto de Geografía, Historia y Ciencias Sociales; Argentina
description The agro-industrial production of genetically modified organisms uses great amounts of pesticides, close to cities, which generates growing concern due to the numerous evidence of their negative effects on health and the environment. In a context of the lack, or inaccessibility, of official data on crop dynamics and pesticide use, environmental indicators using satellite data are needed for the proper monitoring of peri-urban areas. The objective of this research is to make a crop proximity index using satellite information to assess and monitor peri-urban agro-industrial activity. Twenty cities in Argentina and ten in the United States were selected. The CPI index is designed to evaluate a city and its peri-urban areas as a whole by taking account of the land uses and factors that can potentially influence the proximity to agro-industrial activity to the population living in those cities. Agriculture factor was weighted by proximity or remoteness using perimeter rings from the urban edge. All the necessary data for the calculation of the CPI index were obtained through the classification and processing of Sentinel 2 satellite images with software and the Google Earth Engine platform. The results show a worrying situation, 90% of cities in Argentina and 80% in the United States have a negative CPI. Most of the cities examined are extremely close to extensive areas of crops, that use a high amount of pesticides and which do not have the protection of trees or buffer zones.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-01
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/11336/125083
Agost, Lisandro; Velázquez, Guillermo Ángel; Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions; Elsevier; Heliyon; 6; 7; 1-7-2020; 1-11; E04382
2405-8440
CONICET Digital
CONICET
url http://hdl.handle.net/11336/125083
identifier_str_mv Agost, Lisandro; Velázquez, Guillermo Ángel; Crop proximity index for monitoring of peri-urban land use in agro-industrial crop regions; Elsevier; Heliyon; 6; 7; 1-7-2020; 1-11; E04382
2405-8440
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2405844020312263
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.heliyon.2020.e04382
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
_version_ 1846083399378272256
score 13.216834

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