Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícola

Detalhes bibliográficos
Autor(a) principal: Wrublack, Suzana Costa
Data de Publicação: 2017
Outros Autores: Mercante, Erivelto, Correa, Marcus Metri, Prudente, Victor Hugo Rohden, Silva, Jefferson Luiz Gonçalves, Vilas Boas, Marcio Antonio
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Geama
Texto Completo: https://www.journals.ufrpe.br/index.php/geama/article/view/1369
Resumo: Through the use of geotechnologies many surveys can be performed with data processing as geographical and environmental variables, resulting in new information and products and providing a detailed study about an specific area. This paper’s objective is present a case study example where visual classification appears as an opportunity for mapping heterogeneous areas, especially in agricultural zones occupied by small rural properties classified as family. This mapping type presents advantages to the automatic classifiers, since the heterogeneity of small areas can cause pixels miscellany, damaging the classification results. This study was performed in Salto do Lontra’s watershed, located in Paraná’s southwestern, Brazil. Images from Google Earth, obtained in 2014, were used for a visual classification, with 8 regions of interest (ROIs). For a supervised classification Landsat-8 images were used, path/row 223/78, acquired in 02/12/2013. The classifier applied was Spectral Angle Mapper (SAM) with 5 ROIs. Using such type of technologies, what is expected is that these can provide a broader view over environmental reality, allowing the recognition of different surface features and enabling a correct land management based on adequate information.
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spelling Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícolageographical areageoreferenced informationland usemanagement toolsThrough the use of geotechnologies many surveys can be performed with data processing as geographical and environmental variables, resulting in new information and products and providing a detailed study about an specific area. This paper’s objective is present a case study example where visual classification appears as an opportunity for mapping heterogeneous areas, especially in agricultural zones occupied by small rural properties classified as family. This mapping type presents advantages to the automatic classifiers, since the heterogeneity of small areas can cause pixels miscellany, damaging the classification results. This study was performed in Salto do Lontra’s watershed, located in Paraná’s southwestern, Brazil. Images from Google Earth, obtained in 2014, were used for a visual classification, with 8 regions of interest (ROIs). For a supervised classification Landsat-8 images were used, path/row 223/78, acquired in 02/12/2013. The classifier applied was Spectral Angle Mapper (SAM) with 5 ROIs. Using such type of technologies, what is expected is that these can provide a broader view over environmental reality, allowing the recognition of different surface features and enabling a correct land management based on adequate information.Geama Journal - Environmental SciencesRevista Geama2017-06-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.journals.ufrpe.br/index.php/geama/article/view/1369Geama Journal - Environmental Sciences; Volume 3, Número 1 (2017): Revista Geama; 5-9Revista Geama; Volume 3, Número 1 (2017): Revista Geama; 5-92447-0740reponame:Revista Geamainstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPEporhttps://www.journals.ufrpe.br/index.php/geama/article/view/1369/1300Copyright (c) 2017 Revista Geamainfo:eu-repo/semantics/openAccessWrublack, Suzana CostaMercante, EriveltoCorrea, Marcus MetriPrudente, Victor Hugo RohdenSilva, Jefferson Luiz GonçalvesVilas Boas, Marcio Antonio2017-07-31T10:46:08Zoai:ojs.10.0.7.8:article/1369Revistahttps://www.journals.ufrpe.br/index.php/geamaPUBhttps://www.journals.ufrpe.br/index.php/geama/oaijosemachado@ufrpe.br2447-07402447-0740opendoar:2017-07-31T10:46:08Revista Geama - Universidade Federal Rural de Pernambuco (UFRPE)false
dc.title.none.fl_str_mv Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícola
title Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícola
spellingShingle Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícola
Wrublack, Suzana Costa
geographical area
georeferenced information
land use
management tools
title_short Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícola
title_full Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícola
title_fullStr Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícola
title_full_unstemmed Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícola
title_sort Geotechnologies in mapping on land use and cover in agricultural watershed | Geotecnologias no mapeamento do uso da terra e cobertura na bacia hidrográfica agrícola
author Wrublack, Suzana Costa
author_facet Wrublack, Suzana Costa
Mercante, Erivelto
Correa, Marcus Metri
Prudente, Victor Hugo Rohden
Silva, Jefferson Luiz Gonçalves
Vilas Boas, Marcio Antonio
author_role author
author2 Mercante, Erivelto
Correa, Marcus Metri
Prudente, Victor Hugo Rohden
Silva, Jefferson Luiz Gonçalves
Vilas Boas, Marcio Antonio
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Wrublack, Suzana Costa
Mercante, Erivelto
Correa, Marcus Metri
Prudente, Victor Hugo Rohden
Silva, Jefferson Luiz Gonçalves
Vilas Boas, Marcio Antonio
dc.subject.por.fl_str_mv geographical area
georeferenced information
land use
management tools
topic geographical area
georeferenced information
land use
management tools
description Through the use of geotechnologies many surveys can be performed with data processing as geographical and environmental variables, resulting in new information and products and providing a detailed study about an specific area. This paper’s objective is present a case study example where visual classification appears as an opportunity for mapping heterogeneous areas, especially in agricultural zones occupied by small rural properties classified as family. This mapping type presents advantages to the automatic classifiers, since the heterogeneity of small areas can cause pixels miscellany, damaging the classification results. This study was performed in Salto do Lontra’s watershed, located in Paraná’s southwestern, Brazil. Images from Google Earth, obtained in 2014, were used for a visual classification, with 8 regions of interest (ROIs). For a supervised classification Landsat-8 images were used, path/row 223/78, acquired in 02/12/2013. The classifier applied was Spectral Angle Mapper (SAM) with 5 ROIs. Using such type of technologies, what is expected is that these can provide a broader view over environmental reality, allowing the recognition of different surface features and enabling a correct land management based on adequate information.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-10
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.journals.ufrpe.br/index.php/geama/article/view/1369
url https://www.journals.ufrpe.br/index.php/geama/article/view/1369
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.journals.ufrpe.br/index.php/geama/article/view/1369/1300
dc.rights.driver.fl_str_mv Copyright (c) 2017 Revista Geama
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Revista Geama
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Geama Journal - Environmental Sciences
Revista Geama
publisher.none.fl_str_mv Geama Journal - Environmental Sciences
Revista Geama
dc.source.none.fl_str_mv Geama Journal - Environmental Sciences; Volume 3, Número 1 (2017): Revista Geama; 5-9
Revista Geama; Volume 3, Número 1 (2017): Revista Geama; 5-9
2447-0740
reponame:Revista Geama
instname:Universidade Federal Rural de Pernambuco (UFRPE)
instacron:UFRPE
instname_str Universidade Federal Rural de Pernambuco (UFRPE)
instacron_str UFRPE
institution UFRPE
reponame_str Revista Geama
collection Revista Geama
repository.name.fl_str_mv Revista Geama - Universidade Federal Rural de Pernambuco (UFRPE)
repository.mail.fl_str_mv josemachado@ufrpe.br
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