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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. |
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... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Gully; UAV; Digital elevation model; Structure-from-motion. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100525 |
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Batista,Pedro Velloso Gomes; Silva,Marx Leandro Naves; Avalos,Fabio Arnaldo Pomar; Oliveira,Marcelo Silva de; Menezes,Michele Duarte de; Curi,Nilton. |
ABSTRACT Terrain models that represent riverbed topography are used for analyzing geomorphologic changes, calculating water storage capacity, and making hydrologic simulations. These models are generated by interpolating bathymetry points. River bathymetry is usually surveyed through cross-sections, which may lead to a sparse sampling pattern. Hybrid kriging methods, such as regression kriging (RK) and co-kriging (CK) employ the correlation with auxiliary predictors, as well as inter-variable correlation, to improve the predictions of the target variable. In this study, we use the orthogonal distance of a (x, y) point to the river centerline as a covariate for RK and CK. Given that riverbed elevation variability is abrupt transversely to the flow... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Geostatistics; Spatial prediction; Regression kriging; Riverbed morphology. |
Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000400402 |
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