Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery

Detalhes bibliográficos
Autor(a) principal: Siqueira Junior,Paulo
Data de Publicação: 2019
Outros Autores: Silva,Marx Leandro Naves, Cândido,Bernardo Moreira, Avalos,Fabio Arnaldo Pomar, Batista,Pedro Velloso Gomes, Curi,Nilton, Lima,Wellington de, Quinton,John Norman
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Ciência do Solo (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100525
Resumo: ABSTRACT The use of Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) techniques can contribute to increase the accessibility, accuracy, and resolution of Digital Elevation Models (DEMs) used for soil erosion monitoring. This study aimed to evaluate the use of four DEMs obtained over a year to monitor erosion processes in an erosion-degraded area, with occurrence of rill and gully erosions, and its correlation with accumulated rainfall during the studied period. The DEMs of Geomorphic Change Detection (GCD) of horizontal and vertical resolutions of 0.10 and 0.06 m were obtained. It was possible to detect events of erosion and deposition volumes of the order of 2 m3, with a volumetric error of ∼50 %, in rills and gullies in the initial stage denominated R and GS-I, respectively. Events of the order of 100 m3, with a volumetric error around 14 % were found for advanced gullies, a segment denominated GS-II. In the three studied erosion situations, the deposition volume increased with the accumulated rainfall. The segments R and GS-I presented an inverse relationship between erosion volume and accumulated rainfall during the studied period. This behaviour can be explained by the dynamics of the deposition and erosion volumes during the erosion process. In the GS-II segment, erosion and deposition volumes were proportional and a direct relation with the cumulative rainfall over the studied period and a low percentage of volumetric error were found.
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spelling Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle ImageryGullyUAVdigital elevation modelstructure-from-motionABSTRACT The use of Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) techniques can contribute to increase the accessibility, accuracy, and resolution of Digital Elevation Models (DEMs) used for soil erosion monitoring. This study aimed to evaluate the use of four DEMs obtained over a year to monitor erosion processes in an erosion-degraded area, with occurrence of rill and gully erosions, and its correlation with accumulated rainfall during the studied period. The DEMs of Geomorphic Change Detection (GCD) of horizontal and vertical resolutions of 0.10 and 0.06 m were obtained. It was possible to detect events of erosion and deposition volumes of the order of 2 m3, with a volumetric error of ∼50 %, in rills and gullies in the initial stage denominated R and GS-I, respectively. Events of the order of 100 m3, with a volumetric error around 14 % were found for advanced gullies, a segment denominated GS-II. In the three studied erosion situations, the deposition volume increased with the accumulated rainfall. The segments R and GS-I presented an inverse relationship between erosion volume and accumulated rainfall during the studied period. This behaviour can be explained by the dynamics of the deposition and erosion volumes during the erosion process. In the GS-II segment, erosion and deposition volumes were proportional and a direct relation with the cumulative rainfall over the studied period and a low percentage of volumetric error were found.Sociedade Brasileira de Ciência do Solo2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100525Revista Brasileira de Ciência do Solo v.43 2019reponame:Revista Brasileira de Ciência do Solo (Online)instname:Sociedade Brasileira de Ciência do Solo (SBCS)instacron:SBCS10.1590/18069657rbcs20190051info:eu-repo/semantics/openAccessSiqueira Junior,PauloSilva,Marx Leandro NavesCândido,Bernardo MoreiraAvalos,Fabio Arnaldo PomarBatista,Pedro Velloso GomesCuri,NiltonLima,Wellington deQuinton,John Normaneng2019-10-09T00:00:00Zoai:scielo:S0100-06832019000100525Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=0100-0683&lng=es&nrm=isohttps://old.scielo.br/oai/scielo-oai.php||sbcs@ufv.br1806-96570100-0683opendoar:2019-10-09T00:00Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)false
dc.title.none.fl_str_mv Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
title Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
spellingShingle Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
Siqueira Junior,Paulo
Gully
UAV
digital elevation model
structure-from-motion
title_short Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
title_full Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
title_fullStr Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
title_full_unstemmed Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
title_sort Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
author Siqueira Junior,Paulo
author_facet Siqueira Junior,Paulo
Silva,Marx Leandro Naves
Cândido,Bernardo Moreira
Avalos,Fabio Arnaldo Pomar
Batista,Pedro Velloso Gomes
Curi,Nilton
Lima,Wellington de
Quinton,John Norman
author_role author
author2 Silva,Marx Leandro Naves
Cândido,Bernardo Moreira
Avalos,Fabio Arnaldo Pomar
Batista,Pedro Velloso Gomes
Curi,Nilton
Lima,Wellington de
Quinton,John Norman
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Siqueira Junior,Paulo
Silva,Marx Leandro Naves
Cândido,Bernardo Moreira
Avalos,Fabio Arnaldo Pomar
Batista,Pedro Velloso Gomes
Curi,Nilton
Lima,Wellington de
Quinton,John Norman
dc.subject.por.fl_str_mv Gully
UAV
digital elevation model
structure-from-motion
topic Gully
UAV
digital elevation model
structure-from-motion
description ABSTRACT The use of Unmanned Aerial Vehicles (UAVs) and Structure from Motion (SfM) techniques can contribute to increase the accessibility, accuracy, and resolution of Digital Elevation Models (DEMs) used for soil erosion monitoring. This study aimed to evaluate the use of four DEMs obtained over a year to monitor erosion processes in an erosion-degraded area, with occurrence of rill and gully erosions, and its correlation with accumulated rainfall during the studied period. The DEMs of Geomorphic Change Detection (GCD) of horizontal and vertical resolutions of 0.10 and 0.06 m were obtained. It was possible to detect events of erosion and deposition volumes of the order of 2 m3, with a volumetric error of ∼50 %, in rills and gullies in the initial stage denominated R and GS-I, respectively. Events of the order of 100 m3, with a volumetric error around 14 % were found for advanced gullies, a segment denominated GS-II. In the three studied erosion situations, the deposition volume increased with the accumulated rainfall. The segments R and GS-I presented an inverse relationship between erosion volume and accumulated rainfall during the studied period. This behaviour can be explained by the dynamics of the deposition and erosion volumes during the erosion process. In the GS-II segment, erosion and deposition volumes were proportional and a direct relation with the cumulative rainfall over the studied period and a low percentage of volumetric error were found.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100525
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/18069657rbcs20190051
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
dc.source.none.fl_str_mv Revista Brasileira de Ciência do Solo v.43 2019
reponame:Revista Brasileira de Ciência do Solo (Online)
instname:Sociedade Brasileira de Ciência do Solo (SBCS)
instacron:SBCS
instname_str Sociedade Brasileira de Ciência do Solo (SBCS)
instacron_str SBCS
institution SBCS
reponame_str Revista Brasileira de Ciência do Solo (Online)
collection Revista Brasileira de Ciência do Solo (Online)
repository.name.fl_str_mv Revista Brasileira de Ciência do Solo (Online) - Sociedade Brasileira de Ciência do Solo (SBCS)
repository.mail.fl_str_mv ||sbcs@ufv.br
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