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Provedor de dados:  Rev. Bras. Ciênc. Solo
País:  Brazil
Título:  Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery
Autores:  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
Data:  2019-01-01
Ano:  2019
Palavras-chave:  Gully
UAV
Digital elevation model
Structure-from-motion
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.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100525
Editor:  Sociedade Brasileira de Ciência do Solo
Relação:  10.1590/18069657rbcs20190051
Formato:  text/html
Fonte:  Revista Brasileira de Ciência do Solo v.43 2019
Direitos:  info:eu-repo/semantics/openAccess
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