USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSES

Detalhes bibliográficos
Autor(a) principal: Andrade, Ricardo Guimarães
Data de Publicação: 2013
Outros Autores: Rodrigues, Cristina Aparecida Gonçalves, Sanches, Ieda Del'Arco, Torresan, Fábio Enrique, Quartaroli, Carlos Fernando
Tipo de documento: Artigo
Idioma: por
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/332
Resumo: This work aimed at applying remote sensing techniques in the detection of pasture degradation processes in three basins at the municipality of Guararapes, São Paulo, Brazil. A Landsat 5 - TM satellite image of the study area from February 2nd, 2010 was used, along with georeferenced data on pasture conditions collected between January 26th and 29th, 2012. The results show variation in leaf area index (LAI) as a function of the pasture condition and the L parameter used in the SAVI equation. The methodology used for the assessment of pasture vegetation cover and to obtain the grassland degradation index (GDI) produced satisfactory results for the differentiation of three degradation levels. Based on the GDI, the pastures at the basin were classifi ed as lightly degraded. Nevertheless, future studies are necessary to obtain a GDI temporal series to be used for the detection of positive or negative tendencies in the pasture degradation process.
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spelling USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSESUSO DE TÉCNICAS DE SENSORIAMENTO REMOTO NA DETECÇÃO DE PROCESSOS DE DEGRADAÇÃO DE PASTAGENScobertura vegetalindicadores ambientaispastagens degradadassensoriamento remotoThis work aimed at applying remote sensing techniques in the detection of pasture degradation processes in three basins at the municipality of Guararapes, São Paulo, Brazil. A Landsat 5 - TM satellite image of the study area from February 2nd, 2010 was used, along with georeferenced data on pasture conditions collected between January 26th and 29th, 2012. The results show variation in leaf area index (LAI) as a function of the pasture condition and the L parameter used in the SAVI equation. The methodology used for the assessment of pasture vegetation cover and to obtain the grassland degradation index (GDI) produced satisfactory results for the differentiation of three degradation levels. Based on the GDI, the pastures at the basin were classifi ed as lightly degraded. Nevertheless, future studies are necessary to obtain a GDI temporal series to be used for the detection of positive or negative tendencies in the pasture degradation process.Neste trabalho, objetivou-se aplicação de técnicas de sensoriamento remoto na detecção de processos de degradação de pastagens em três microbacias localizadas no município de Guararapes, SP. Para o estudo, utilizou-se uma imagem do satélite Landsat 5 – TM do dia 02/02/10 e dados georreferenciados das condições das pastagens coletados entre os dias 26 e 29/01/10. Os resultados mostram variação do índice de área foliar (IAF) em função da condição da pastagem e do parâmetro L utilizado na equação do índice de vegetação SAVI. A metodologia de avaliação da cobertura vegetal da pastagem (CVP) e de obtenção de indicadores de degradação de pastagem (IDP) mostrou-se satisfatória para diferenciação de três níveis de degradação. Conforme o IDP, as pastagens das microbacias foram classifi cadas como levemente degradadas. No entanto, estudos futuros são necessários para obtenção de série temporal do IDP para possível detecção de tendências positivas ou negativas no processo de degradação das pastagens.Universidade Federal de Viçosa - UFV2013-06-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/33210.13083/reveng.v21i3.368Engineering in Agriculture; Vol. 21 No. 3 (2013); 234-243Revista Engenharia na Agricultura - REVENG; v. 21 n. 3 (2013); 234-2432175-68131414-398410.13083/reveng.v21i3reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/reveng/article/view/332/248Andrade, Ricardo GuimarãesRodrigues, Cristina Aparecida GonçalvesSanches, Ieda Del'ArcoTorresan, Fábio EnriqueQuartaroli, Carlos Fernandoinfo:eu-repo/semantics/openAccess2023-01-19T13:12:04Zoai:ojs.periodicos.ufv.br:article/332Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T13:12:04Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSES
USO DE TÉCNICAS DE SENSORIAMENTO REMOTO NA DETECÇÃO DE PROCESSOS DE DEGRADAÇÃO DE PASTAGENS
title USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSES
spellingShingle USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSES
Andrade, Ricardo Guimarães
cobertura vegetal
indicadores ambientais
pastagens degradadas
sensoriamento remoto
title_short USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSES
title_full USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSES
title_fullStr USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSES
title_full_unstemmed USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSES
title_sort USE OF REMOTE SENSING TECHNIQUES IN THE DETECTION OF PASTURE DEGRADATION PROCESSES
author Andrade, Ricardo Guimarães
author_facet Andrade, Ricardo Guimarães
Rodrigues, Cristina Aparecida Gonçalves
Sanches, Ieda Del'Arco
Torresan, Fábio Enrique
Quartaroli, Carlos Fernando
author_role author
author2 Rodrigues, Cristina Aparecida Gonçalves
Sanches, Ieda Del'Arco
Torresan, Fábio Enrique
Quartaroli, Carlos Fernando
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Andrade, Ricardo Guimarães
Rodrigues, Cristina Aparecida Gonçalves
Sanches, Ieda Del'Arco
Torresan, Fábio Enrique
Quartaroli, Carlos Fernando
dc.subject.por.fl_str_mv cobertura vegetal
indicadores ambientais
pastagens degradadas
sensoriamento remoto
topic cobertura vegetal
indicadores ambientais
pastagens degradadas
sensoriamento remoto
description This work aimed at applying remote sensing techniques in the detection of pasture degradation processes in three basins at the municipality of Guararapes, São Paulo, Brazil. A Landsat 5 - TM satellite image of the study area from February 2nd, 2010 was used, along with georeferenced data on pasture conditions collected between January 26th and 29th, 2012. The results show variation in leaf area index (LAI) as a function of the pasture condition and the L parameter used in the SAVI equation. The methodology used for the assessment of pasture vegetation cover and to obtain the grassland degradation index (GDI) produced satisfactory results for the differentiation of three degradation levels. Based on the GDI, the pastures at the basin were classifi ed as lightly degraded. Nevertheless, future studies are necessary to obtain a GDI temporal series to be used for the detection of positive or negative tendencies in the pasture degradation process.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-25
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://periodicos.ufv.br/reveng/article/view/332
10.13083/reveng.v21i3.368
url https://periodicos.ufv.br/reveng/article/view/332
identifier_str_mv 10.13083/reveng.v21i3.368
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/332/248
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 21 No. 3 (2013); 234-243
Revista Engenharia na Agricultura - REVENG; v. 21 n. 3 (2013); 234-243
2175-6813
1414-3984
10.13083/reveng.v21i3
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
_version_ 1800211145074671616

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