CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHOD

Detalhes bibliográficos
Autor(a) principal: Diotto, Marina Gama [UNESP]
Data de Publicação: 2021
Outros Autores: Silva Fuzzo, Daniela Fernanda da
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/218341
Resumo: The knowledge of the dynamics of a landscape in a region is an important factor in regional and local planning. The classification and analysis of images from remote orbital sensors became an important tool in the acquisition of information for land use mapping. The objective of this research was to evaluate changes in land use in the buffer zone of State Forest Edmundo Navarro de Andrade (FEENA), located in Rio Claro / SP, taking the years 1995, 2005 and 2015 as the time frame. Classifications of different types of land uses were carried out based on the remote sensing image transfer method. It was found that FEENA's buffer zone has undergone major changes over the years, mainly due to the presence of sugarcane monoculture, in addition to the creation and expansion of neighborhoods in the municipality. Finally, the adopted methods were obtained from the error matrix and the calculation of the Kappa index, which presented the result of 80% accuracy in the classification, provided within the level established by the consulted theoretical references. The result is considered a performance with strong agreement, proving the accuracy of the maps produced.
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spelling CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHODLand UseGeoprocessingState Forest Edmundo Navarro De AndradeThe knowledge of the dynamics of a landscape in a region is an important factor in regional and local planning. The classification and analysis of images from remote orbital sensors became an important tool in the acquisition of information for land use mapping. The objective of this research was to evaluate changes in land use in the buffer zone of State Forest Edmundo Navarro de Andrade (FEENA), located in Rio Claro / SP, taking the years 1995, 2005 and 2015 as the time frame. Classifications of different types of land uses were carried out based on the remote sensing image transfer method. It was found that FEENA's buffer zone has undergone major changes over the years, mainly due to the presence of sugarcane monoculture, in addition to the creation and expansion of neighborhoods in the municipality. Finally, the adopted methods were obtained from the error matrix and the calculation of the Kappa index, which presented the result of 80% accuracy in the classification, provided within the level established by the consulted theoretical references. The result is considered a performance with strong agreement, proving the accuracy of the maps produced.Univ Estadual Paulista UNESP, Inst Geociencias & Ciencias Exatas, Geog, Sao Paulo, SP, BrazilUniv Estado Minas Gerais, Unidade Frutal, Dept Ciencias Exatas & Terra, Belo Horizonte, MG, BrazilUniv Estadual Paulista UNESP, Inst Geociencias & Ciencias Exatas, Geog, Sao Paulo, SP, BrazilUniv Federal Mato GrossoUniversidade Estadual Paulista (UNESP)Universidade Federal de Minas Gerais (UFMG)Diotto, Marina Gama [UNESP]Silva Fuzzo, Daniela Fernanda da2022-04-28T17:20:31Z2022-04-28T17:20:31Z2021-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article132-148Revista Geoaraguaia. Barra Do Garcas: Univ Federal Mato Grosso, v. 11, p. 132-148, 2021.1809-094Xhttp://hdl.handle.net/11449/218341WOS:000692191900007Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Geoaraguaiainfo:eu-repo/semantics/openAccess2022-04-28T17:20:31Zoai:repositorio.unesp.br:11449/218341Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:43:58.903706Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHOD
title CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHOD
spellingShingle CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHOD
Diotto, Marina Gama [UNESP]
Land Use
Geoprocessing
State Forest Edmundo Navarro De Andrade
title_short CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHOD
title_full CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHOD
title_fullStr CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHOD
title_full_unstemmed CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHOD
title_sort CONTRIBUTIONS TO THE MAPPING AND CLASSIFICATION OF LAND USE THROUGH SEGMENTATION METHOD
author Diotto, Marina Gama [UNESP]
author_facet Diotto, Marina Gama [UNESP]
Silva Fuzzo, Daniela Fernanda da
author_role author
author2 Silva Fuzzo, Daniela Fernanda da
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Federal de Minas Gerais (UFMG)
dc.contributor.author.fl_str_mv Diotto, Marina Gama [UNESP]
Silva Fuzzo, Daniela Fernanda da
dc.subject.por.fl_str_mv Land Use
Geoprocessing
State Forest Edmundo Navarro De Andrade
topic Land Use
Geoprocessing
State Forest Edmundo Navarro De Andrade
description The knowledge of the dynamics of a landscape in a region is an important factor in regional and local planning. The classification and analysis of images from remote orbital sensors became an important tool in the acquisition of information for land use mapping. The objective of this research was to evaluate changes in land use in the buffer zone of State Forest Edmundo Navarro de Andrade (FEENA), located in Rio Claro / SP, taking the years 1995, 2005 and 2015 as the time frame. Classifications of different types of land uses were carried out based on the remote sensing image transfer method. It was found that FEENA's buffer zone has undergone major changes over the years, mainly due to the presence of sugarcane monoculture, in addition to the creation and expansion of neighborhoods in the municipality. Finally, the adopted methods were obtained from the error matrix and the calculation of the Kappa index, which presented the result of 80% accuracy in the classification, provided within the level established by the consulted theoretical references. The result is considered a performance with strong agreement, proving the accuracy of the maps produced.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-01
2022-04-28T17:20:31Z
2022-04-28T17:20:31Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Revista Geoaraguaia. Barra Do Garcas: Univ Federal Mato Grosso, v. 11, p. 132-148, 2021.
1809-094X
http://hdl.handle.net/11449/218341
WOS:000692191900007
identifier_str_mv Revista Geoaraguaia. Barra Do Garcas: Univ Federal Mato Grosso, v. 11, p. 132-148, 2021.
1809-094X
WOS:000692191900007
url http://hdl.handle.net/11449/218341
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Revista Geoaraguaia
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 132-148
dc.publisher.none.fl_str_mv Univ Federal Mato Grosso
publisher.none.fl_str_mv Univ Federal Mato Grosso
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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