Estimation of sediments produced in a subbasin using the normalized difference vegetation Index
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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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) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1815439145539993600 |