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: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100214
Resumo: ABSTRACT 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 IndexSoil conservationwater erosionmodelingRUSLEABSTRACT 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.Editora da UFLA2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100214Ciência e Agrotecnologia v.44 2020reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-7054202044031419info:eu-repo/semantics/openAccessLense,Guilherme Henrique ExpeditoMoreira,Rodrigo SantosBócoli,Fernanda AlmeidaAvanzi,Junior CesarTeodoro,Alexandre Elias de MirandaMincato,Ronaldo Luizeng2020-06-04T00:00:00Zoai:scielo:S1413-70542020000100214Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:41.409003Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index
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
modeling
RUSLE
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
modeling
RUSLE
topic Soil conservation
water erosion
modeling
RUSLE
description ABSTRACT 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 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100214
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100214
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-7054202044031419
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.44 2020
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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