EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASIN

Detalhes bibliográficos
Autor(a) principal: Soares, Larissa
Data de Publicação: 2023
Outros Autores: Wainberg Bohrer, Pedro, Andrades Paixão, Mauricio, de Almeida Silva, Maria Cristina
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Holos
Texto Completo: http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/16380
Resumo: Erosion represents a crucial challenge for sustainable land use planning, especially with increasing agricultural activity and changes in production methods. This process leads to higher susceptibility to soil erosion, resulting in productivity losses and environmental degradation. Therefore, assessment methods are essential. This study compares the Universal Soil Loss Equation (USLE) with the Embrapa Erosion Susceptibility Map, utilizing geospatial data and applying it at different watershed planning scales. The objective is to assess and validate these methodologies, using satellite imagery to identify advanced erosive processes such as gullies. The results indicate that the Susceptibility Map showed better correspondence with gully areas, while the USLE had some discrepancies, possibly due to its higher spatial resolution. However, it emphasizes the importance of on-site verification through field visits to complement model analyses.
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spelling EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASINAvaliação de métodos para estimativa da erosão utilizando geoprocessamento em microbacias do rio Pará/MGSoil erosionGeoprocessingUniversal Soil Loss EquationErosion Susceptibility MapSatellite imagesErosion represents a crucial challenge for sustainable land use planning, especially with increasing agricultural activity and changes in production methods. This process leads to higher susceptibility to soil erosion, resulting in productivity losses and environmental degradation. Therefore, assessment methods are essential. This study compares the Universal Soil Loss Equation (USLE) with the Embrapa Erosion Susceptibility Map, utilizing geospatial data and applying it at different watershed planning scales. The objective is to assess and validate these methodologies, using satellite imagery to identify advanced erosive processes such as gullies. The results indicate that the Susceptibility Map showed better correspondence with gully areas, while the USLE had some discrepancies, possibly due to its higher spatial resolution. However, it emphasizes the importance of on-site verification through field visits to complement model analyses.A erosão representa um desafio crucial para o planejamento sustentável do uso do solo, especialmente com o aumento da atividade agrícola e mudanças nos métodos de produção. Isso leva a uma maior suscetibilidade à erosão do solo, resultando em perdas de produtividade e degradação ambiental. Portanto, métodos de avaliação dos processos erosivos são fundamentais. Este estudo compara a Equação Universal de Perda de Solo (USLE) com o Mapa de Suscetibilidade à Erosão da Embrapa, ambos usando dados geoespaciais e aplicáveis em diferentes escalas de planejamento de bacias hidrográficas. O objetivo é avaliar e validar essas metodologias, usando imagens de satélite para identificar processos erosivos avançados, como voçorocas. Os resultados indicam que o Mapa de Suscetibilidade apresentou melhor correspondência com áreas de voçorocas, enquanto a USLE teve algumas discrepâncias, possivelmente devido à sua resolução espacial mais alta. No entanto, enfatiza-se a importância de verificar as condições no local por meio de visitas de campo para complementar as análises dos modelosInstituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte2023-12-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoapplication/pdfapplication/pdfhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/16380HOLOS; v. 3 n. 39 (2023): v.3(2023)1807-1600reponame:Holosinstname:Instituto Federal do Rio Grande do Norte (IFRN)instacron:IFRNporenghttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/16380/3850http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/16380/3851Brasilhttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessSoares, Larissa Wainberg Bohrer, PedroAndrades Paixão, Mauricio de Almeida Silva, Maria Cristina2023-12-19T12:13:09Zoai:holos.ifrn.edu.br:article/16380Revistahttp://www2.ifrn.edu.br/ojs/index.php/HOLOSPUBhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/oaiholos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br1807-16001518-1634opendoar:2023-12-19T12:13:09Holos - Instituto Federal do Rio Grande do Norte (IFRN)false
dc.title.none.fl_str_mv EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASIN
Avaliação de métodos para estimativa da erosão utilizando geoprocessamento em microbacias do rio Pará/MG
title EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASIN
spellingShingle EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASIN
Soares, Larissa
Soil erosion
Geoprocessing
Universal Soil Loss Equation
Erosion Susceptibility Map
Satellite images
title_short EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASIN
title_full EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASIN
title_fullStr EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASIN
title_full_unstemmed EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASIN
title_sort EVALUATION OF METHODS FOR EROSION ESTIMATION USING GEOPROCESSING IN A MICROBASIN
author Soares, Larissa
author_facet Soares, Larissa
Wainberg Bohrer, Pedro
Andrades Paixão, Mauricio
de Almeida Silva, Maria Cristina
author_role author
author2 Wainberg Bohrer, Pedro
Andrades Paixão, Mauricio
de Almeida Silva, Maria Cristina
author2_role author
author
author
dc.contributor.author.fl_str_mv Soares, Larissa
Wainberg Bohrer, Pedro
Andrades Paixão, Mauricio
de Almeida Silva, Maria Cristina
dc.subject.por.fl_str_mv Soil erosion
Geoprocessing
Universal Soil Loss Equation
Erosion Susceptibility Map
Satellite images
topic Soil erosion
Geoprocessing
Universal Soil Loss Equation
Erosion Susceptibility Map
Satellite images
description Erosion represents a crucial challenge for sustainable land use planning, especially with increasing agricultural activity and changes in production methods. This process leads to higher susceptibility to soil erosion, resulting in productivity losses and environmental degradation. Therefore, assessment methods are essential. This study compares the Universal Soil Loss Equation (USLE) with the Embrapa Erosion Susceptibility Map, utilizing geospatial data and applying it at different watershed planning scales. The objective is to assess and validate these methodologies, using satellite imagery to identify advanced erosive processes such as gullies. The results indicate that the Susceptibility Map showed better correspondence with gully areas, while the USLE had some discrepancies, possibly due to its higher spatial resolution. However, it emphasizes the importance of on-site verification through field visits to complement model analyses.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-17
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Texto
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/16380
url http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/16380
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/16380/3850
http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/16380/3851
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Brasil
dc.publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
dc.source.none.fl_str_mv HOLOS; v. 3 n. 39 (2023): v.3(2023)
1807-1600
reponame:Holos
instname:Instituto Federal do Rio Grande do Norte (IFRN)
instacron:IFRN
instname_str Instituto Federal do Rio Grande do Norte (IFRN)
instacron_str IFRN
institution IFRN
reponame_str Holos
collection Holos
repository.name.fl_str_mv Holos - Instituto Federal do Rio Grande do Norte (IFRN)
repository.mail.fl_str_mv holos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br
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