Estimation of sediments produced in a subbasin using the normalized difference vegetation Index

Detalhes bibliográficos
Autor(a) principal: Lense, Guilherme Henrique Expedito
Data de Publicação: 2020
Outros Autores: Moreira, Rodrigo Santos, Bócoli, Fernanda Almeida, Avanzi, Junior Cesar, Teodoro, Alexandre Elias de Miranda, Mincato, Ronaldo Luiz
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/42754
Resumo: Among the parameters considered by the Revised Universal Soil Loss Equation (RUSLE), the soil cover and management factor (C) is the main human influenced factor affecting the estimation of water erosion, and one of the most sensitive to spatiotemporal variations. Consequently, this study aims to compare the efficiency of C factor estimates obtained from the literature for each land-use class (Clit) and by calculation based on the Normalized Difference Vegetation Index (CNDVI). We test the hypothesis that soil loss estimates based on CNDVI approach are more accurate than those based on Clit. Water erosion was estimated based on soil morphological, physical, and chemical properties in addition to climate, relief, management practices, and land use and cover. The modeling steps were realized with the help of the Geographic Information System. The results were validated using the data of total sediment transported with water discharge and daily runoff. RUSLE underestimated soil losses by 0.64 Mg ha-1 year-1 using Clit and 0.45 Mg ha-1 year-1 with CNDVI, which corresponds to errors of 21.05% and 14.80%, respectively. Therefore, the CNDVI factor results are more accurate. Both methodologies identified areas with high erosion rates where the adoption of mitigation measures should be prioritized.
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spelling Estimation of sediments produced in a subbasin using the normalized difference vegetation IndexEstimativa dos sedimentos produzidos em uma sub-bacia usando o índice de vegetação por diferença normalizadaSoil conservationWater erosionRevised universal soil loss equationConservação do soloErosão hídricaEquação universal de perda de solo revisadaAmong the parameters considered by the Revised Universal Soil Loss Equation (RUSLE), the soil cover and management factor (C) is the main human influenced factor affecting the estimation of water erosion, and one of the most sensitive to spatiotemporal variations. Consequently, this study aims to compare the efficiency of C factor estimates obtained from the literature for each land-use class (Clit) and by calculation based on the Normalized Difference Vegetation Index (CNDVI). We test the hypothesis that soil loss estimates based on CNDVI approach are more accurate than those based on Clit. Water erosion was estimated based on soil morphological, physical, and chemical properties in addition to climate, relief, management practices, and land use and cover. The modeling steps were realized with the help of the Geographic Information System. The results were validated using the data of total sediment transported with water discharge and daily runoff. RUSLE underestimated soil losses by 0.64 Mg ha-1 year-1 using Clit and 0.45 Mg ha-1 year-1 with CNDVI, which corresponds to errors of 21.05% and 14.80%, respectively. Therefore, the CNDVI factor results are more accurate. Both methodologies identified areas with high erosion rates where the adoption of mitigation measures should be prioritized.Dentre os parâmetros considerados pela Equação Universal de Perda de Solo Revisada (RUSLE) a cobertura e manejo do solo (C) é o principal fator de influência humana na estimativa da erosão hídrica, e um dos mais sensíveis a variações espaço - temporais. Consequentemente, este estudo tem como objetivo comparar a eficiência das estimativas do fator C obtidas na literatura para cada classe de uso da terra (Clit) e por cálculo com base no Índice de Vegetação por Diferença Normalizada (CNDVI). Testamos a hipótese de que as estimativas de perda de solo com base na abordagem CNDVI são mais precisas do que aquelas baseadas no Clit. A erosão hídrica foi estimada com base nas propriedades morfológicas, físicas e químicas do solo, além de clima, relevo, práticas de manejo e uso e cobertura da terra. As etapas da modelagem foram realizadas com a ajuda do Sistema de Informações Geográficas. Os resultados foram validados utilizando os dados do sedimento total transportado com descarga de água e escoamento diário. RUSLE subestimou as perdas do solo em 0,64 Mg ha-1 ano-1 usando Clit e 0,45 Mg ha-1 ano-1 com CNDVI, o que corresponde aos respectivos erros de 21,05% e 14,80%. Portanto, os resultados do fator CNDVI são mais precisos. Ambas as metodologias identificaram áreas com altas taxas de erosão, onde a adoção de medidas mitigadoras deve ser priorizada.Universidade Federal de Lavras2020-08-31T17:47:52Z2020-08-31T17:47:52Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfLENSE, G. H. E. et al. Estimation of sediments produced in a subbasin using the normalized difference vegetation Index. Ciência e Agrotecnologia, Lavras, v. 44, e031419, 2020. DOI: http://dx.doi.org/10.1590/1413-7054202044031419.http://repositorio.ufla.br/jspui/handle/1/42754Ciência e Agrotecnologiareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessLense, Guilherme Henrique ExpeditoMoreira, Rodrigo SantosBócoli, Fernanda AlmeidaAvanzi, Junior CesarTeodoro, Alexandre Elias de MirandaMincato, Ronaldo Luizeng2020-08-31T17:47:52Zoai:localhost:1/42754Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-08-31T17:47:52Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Estimation of sediments produced in a subbasin using the normalized difference vegetation Index
Estimativa dos sedimentos produzidos em uma sub-bacia usando o índice de vegetação por diferença normalizada
title Estimation of sediments produced in a subbasin using the normalized difference vegetation Index
spellingShingle Estimation of sediments produced in a subbasin using the normalized difference vegetation Index
Lense, Guilherme Henrique Expedito
Soil conservation
Water erosion
Revised universal soil loss equation
Conservação do solo
Erosão hídrica
Equação universal de perda de solo revisada
title_short Estimation of sediments produced in a subbasin using the normalized difference vegetation Index
title_full Estimation of sediments produced in a subbasin using the normalized difference vegetation Index
title_fullStr Estimation of sediments produced in a subbasin using the normalized difference vegetation Index
title_full_unstemmed Estimation of sediments produced in a subbasin using the normalized difference vegetation Index
title_sort Estimation of sediments produced in a subbasin using the normalized difference vegetation Index
author Lense, Guilherme Henrique Expedito
author_facet Lense, Guilherme Henrique Expedito
Moreira, Rodrigo Santos
Bócoli, Fernanda Almeida
Avanzi, Junior Cesar
Teodoro, Alexandre Elias de Miranda
Mincato, Ronaldo Luiz
author_role author
author2 Moreira, Rodrigo Santos
Bócoli, Fernanda Almeida
Avanzi, Junior Cesar
Teodoro, Alexandre Elias de Miranda
Mincato, Ronaldo Luiz
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Lense, Guilherme Henrique Expedito
Moreira, Rodrigo Santos
Bócoli, Fernanda Almeida
Avanzi, Junior Cesar
Teodoro, Alexandre Elias de Miranda
Mincato, Ronaldo Luiz
dc.subject.por.fl_str_mv Soil conservation
Water erosion
Revised universal soil loss equation
Conservação do solo
Erosão hídrica
Equação universal de perda de solo revisada
topic Soil conservation
Water erosion
Revised universal soil loss equation
Conservação do solo
Erosão hídrica
Equação universal de perda de solo revisada
description Among the parameters considered by the Revised Universal Soil Loss Equation (RUSLE), the soil cover and management factor (C) is the main human influenced factor affecting the estimation of water erosion, and one of the most sensitive to spatiotemporal variations. Consequently, this study aims to compare the efficiency of C factor estimates obtained from the literature for each land-use class (Clit) and by calculation based on the Normalized Difference Vegetation Index (CNDVI). We test the hypothesis that soil loss estimates based on CNDVI approach are more accurate than those based on Clit. Water erosion was estimated based on soil morphological, physical, and chemical properties in addition to climate, relief, management practices, and land use and cover. The modeling steps were realized with the help of the Geographic Information System. The results were validated using the data of total sediment transported with water discharge and daily runoff. RUSLE underestimated soil losses by 0.64 Mg ha-1 year-1 using Clit and 0.45 Mg ha-1 year-1 with CNDVI, which corresponds to errors of 21.05% and 14.80%, respectively. Therefore, the CNDVI factor results are more accurate. Both methodologies identified areas with high erosion rates where the adoption of mitigation measures should be prioritized.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-31T17:47:52Z
2020-08-31T17:47:52Z
2020
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 LENSE, G. H. E. et al. Estimation of sediments produced in a subbasin using the normalized difference vegetation Index. Ciência e Agrotecnologia, Lavras, v. 44, e031419, 2020. DOI: http://dx.doi.org/10.1590/1413-7054202044031419.
http://repositorio.ufla.br/jspui/handle/1/42754
identifier_str_mv LENSE, G. H. E. et al. Estimation of sediments produced in a subbasin using the normalized difference vegetation Index. Ciência e Agrotecnologia, Lavras, v. 44, e031419, 2020. DOI: http://dx.doi.org/10.1590/1413-7054202044031419.
url http://repositorio.ufla.br/jspui/handle/1/42754
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
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 de Lavras
publisher.none.fl_str_mv Universidade Federal de Lavras
dc.source.none.fl_str_mv Ciência e Agrotecnologia
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
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