Model of Stability of Soil Erosion

Detalhes bibliográficos
Autor(a) principal: Higa, Leandro Tsuneki
Data de Publicação: 2017
Outros Autores: Schlichting, Alessana Franciele, Catalan, Thais Gisele Torres, Grigio, Alfredo Marcelo, Gamarra, Roberto Macedo, Paranhos Filho, Antonio Conceição
Tipo de documento: Artigo
Idioma: por
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/7818
Resumo: The development of new techniques that facilitate environmental planning are needed, so this work presents a new methodological approach : the Model of Stability of Soil Science (MES) , which uses data obtained by remote sensing in order to support environmental planning . The technique was applied in the city of Costa Rica - MS with Landsat generating an environmental zoning proposal for the study area. The letter slope was drawn through the SRTM digital elevation model. The Charter Fitness of Lands (agricultural capability of the soil) was obtained from the Multi Referral Atlas of the State of Mato Grosso do Sul linear spectral mixture model to derive vegetation fraction image ( letter of vegetation cover ) was used . With this data set we applied the MES through map algebra, which uses the overlay of information layers slope, agricultural soil suitability and land cover. Data obtained via MES were compared with those observed in the field. Thus it can be seen that the MES was efficient in assessing the areas most vulnerable to the erosive action, moreover, proved to be an efficient tool for decision making.
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spelling Model of Stability of Soil ErosionModelo de Estabilidade dos Solos a ErosãoGeotechnology; Remote sensing; Erosion; Environmental planning.Geotecnologias; Sensoriamento remoto; Erosão; Planejamento ambientalThe development of new techniques that facilitate environmental planning are needed, so this work presents a new methodological approach : the Model of Stability of Soil Science (MES) , which uses data obtained by remote sensing in order to support environmental planning . The technique was applied in the city of Costa Rica - MS with Landsat generating an environmental zoning proposal for the study area. The letter slope was drawn through the SRTM digital elevation model. The Charter Fitness of Lands (agricultural capability of the soil) was obtained from the Multi Referral Atlas of the State of Mato Grosso do Sul linear spectral mixture model to derive vegetation fraction image ( letter of vegetation cover ) was used . With this data set we applied the MES through map algebra, which uses the overlay of information layers slope, agricultural soil suitability and land cover. Data obtained via MES were compared with those observed in the field. Thus it can be seen that the MES was efficient in assessing the areas most vulnerable to the erosive action, moreover, proved to be an efficient tool for decision making.O desenvolvimento de novas técnicas que facilitem o planejamento ambiental são necessárias, por isso o presente trabalho apresenta uma nova proposta metodológica: o Modelo de Estabilidade de Solos (MES), que utiliza dados obtidos via sensoriamento remoto com o intuito de subsidiar o planejamento ambiental. A técnica foi aplicada no Município de Costa Rica-MS, com imagens Landsat gerando uma proposta de zoneamento ambiental para área de estudo. A carta de declividade foi elaborada através do modelo digital de elevação SRTM. A Carta de Aptidão das Terras (aptidão agrícola do solo) foi obtida do Atlas Multirreferencial do Estado de Mato Grosso do Sul. Utilizou-se o modelo linear de mistura espectral para obtenção da imagem fração vegetação (carta de cobertura vegetal). Com este conjunto de dados aplicou-se o MES, através da álgebra de mapas, que utiliza a sobreposição dos planos de informação de declividade, aptidão agrícola do solo e cobertura vegetal. Os dados obtidos via MES foram confrontados com os observados em campo. Com isso podese constatar que o MES foi eficiente na avaliação das áreas mais vulneráveis à ação erosiva, além disso, demonstrou ser uma ferramenta eficiente para tomada de decisão.Universidade Federal do Rio de JaneiroHiga, Leandro TsunekiSchlichting, Alessana FrancieleCatalan, Thais Gisele TorresGrigio, Alfredo MarceloGamarra, Roberto MacedoParanhos Filho, Antonio Conceição2017-02-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/781810.11137/2014_05_15Anuário do Instituto de Geociências; Vol 37, No 2 (2014); 5-15Anuário do Instituto de Geociências; Vol 37, No 2 (2014); 5-151982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJporhttps://revistas.ufrj.br/index.php/aigeo/article/view/7818/6299Copyright (c) 2014 Anuário do Instituto de Geociênciashttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2017-02-15T18:53:40Zoai:www.revistas.ufrj.br:article/7818Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2017-02-15T18:53:40Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Model of Stability of Soil Erosion
Modelo de Estabilidade dos Solos a Erosão
title Model of Stability of Soil Erosion
spellingShingle Model of Stability of Soil Erosion
Higa, Leandro Tsuneki
Geotechnology; Remote sensing; Erosion; Environmental planning.
Geotecnologias; Sensoriamento remoto; Erosão; Planejamento ambiental
title_short Model of Stability of Soil Erosion
title_full Model of Stability of Soil Erosion
title_fullStr Model of Stability of Soil Erosion
title_full_unstemmed Model of Stability of Soil Erosion
title_sort Model of Stability of Soil Erosion
author Higa, Leandro Tsuneki
author_facet Higa, Leandro Tsuneki
Schlichting, Alessana Franciele
Catalan, Thais Gisele Torres
Grigio, Alfredo Marcelo
Gamarra, Roberto Macedo
Paranhos Filho, Antonio Conceição
author_role author
author2 Schlichting, Alessana Franciele
Catalan, Thais Gisele Torres
Grigio, Alfredo Marcelo
Gamarra, Roberto Macedo
Paranhos Filho, Antonio Conceição
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv
dc.contributor.author.fl_str_mv Higa, Leandro Tsuneki
Schlichting, Alessana Franciele
Catalan, Thais Gisele Torres
Grigio, Alfredo Marcelo
Gamarra, Roberto Macedo
Paranhos Filho, Antonio Conceição
dc.subject.por.fl_str_mv Geotechnology; Remote sensing; Erosion; Environmental planning.
Geotecnologias; Sensoriamento remoto; Erosão; Planejamento ambiental
topic Geotechnology; Remote sensing; Erosion; Environmental planning.
Geotecnologias; Sensoriamento remoto; Erosão; Planejamento ambiental
description The development of new techniques that facilitate environmental planning are needed, so this work presents a new methodological approach : the Model of Stability of Soil Science (MES) , which uses data obtained by remote sensing in order to support environmental planning . The technique was applied in the city of Costa Rica - MS with Landsat generating an environmental zoning proposal for the study area. The letter slope was drawn through the SRTM digital elevation model. The Charter Fitness of Lands (agricultural capability of the soil) was obtained from the Multi Referral Atlas of the State of Mato Grosso do Sul linear spectral mixture model to derive vegetation fraction image ( letter of vegetation cover ) was used . With this data set we applied the MES through map algebra, which uses the overlay of information layers slope, agricultural soil suitability and land cover. Data obtained via MES were compared with those observed in the field. Thus it can be seen that the MES was efficient in assessing the areas most vulnerable to the erosive action, moreover, proved to be an efficient tool for decision making.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-15
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/7818
10.11137/2014_05_15
url https://revistas.ufrj.br/index.php/aigeo/article/view/7818
identifier_str_mv 10.11137/2014_05_15
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/7818/6299
dc.rights.driver.fl_str_mv Copyright (c) 2014 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2014 Anuário do Instituto de Geociências
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; Vol 37, No 2 (2014); 5-15
Anuário do Instituto de Geociências; Vol 37, No 2 (2014); 5-15
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
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