Search results for "digital elevation models"

showing 3 items of 3 documents

Implications of terrain resolution on modeling rainfall-triggered landslides using a TIN- based model

2021

Abstract This study employs a distributed eco-hydrological-landslide model, the tRIBS-VEGGIE-Landslide, to evaluate the influence of terrain resolution on the hydro-geomorphological processes involved in slope stability analysis. The model implements a Triangulated Irregular Network (TIN) to describe the topography starting from a grid-DEM. Five grid-DEM resolutions of the case study basin, i.e., 10, 20, 30 and 70 m, are used to derive the corresponding TINs. The results show that using irregular meshes reduces the loss of accuracy with coarser resolutions in the derived slope distribution in comparison to slope distributions estimated from the original grid-based DEM. From a hydrological p…

Environmental EngineeringSlope stability analysisEcological ModelingHydrological modellingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaResolution (electron density)TerrainLandslideSoil scienceHydrologic modelingTriangulated irregular networkDigital elevation modelsSlope stabilityNumerical modelingDigital elevation models; Hydrologic modeling; Landslides; Numerical modeling; Slope stability analysisDigital elevation models Hydrologic modeling Landslides Numerical modeling Slope stability analysisDigital elevation modelSlope stability analysisLandslidesSoftwareGeologyEnvironmental Modelling & Software
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Using topographical attributes to evaluate gully erosion proneness (susceptibility) in two mediterranean basins: advantages and limitations

2015

Empirical multivariate predictive models represent an important tool to estimate gully erosion susceptibility. Topography, lithology, climate, land use and vegetation cover are commonly used as input for these approaches. In this paper, two multivariate predictive models were generated for two gully erosion processes in San Giorgio basin (Italy) and Mula River basin (Spain) using only topographical attributes as independent variables. Initially, nine models (five for San Giorgio and four for Mula) with pixel sizes ranging from 2 to 50 m were generated, and validation statistics were calculated to estimate the optimal pixel size. The best models were selected based on model performance using…

Mediterranean climategeographyTopographic Wetness IndexMultivariate statisticsTopographyAtmospheric Sciencegeography.geographical_feature_categoryLandformDrainage basinStructural basinDigital elevation models (DEMs)Topographical attributeNatural hazardEarth and Planetary Sciences (miscellaneous)Empirical multivariate modelGully erosion susceptibilityDigital elevation modelGeomorphologyGeologyWater Science and Technology
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Effects of Digital Elevation Model resolution on evaluation of landslide susceptibility with a logistic regression model.

2013

The use of statistical methods together with the GIS technologies is currently one of the most efficient tools in the assessment of landslide susceptibility. The correlation between the physical phenomenon and its triggering factors depends on several factors, including the resolution at which the elevation data are represented in a Digital Elevation Model (DEM). The resolution becomes increasingly important as the use of DEM data is extended for spatial prediction of terrain attributes such as slope, aspect, plan and profile curvature, etc., which are considered as triggering factors of the landslides. Many methods exist in scientific literature to capture and model the correlation between…

digital elevation models landslide susceptibility logistic regression models
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