Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
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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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 |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100525 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100525 |
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 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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 |
_version_ |
1752126522269892608 |