Search results for " Landslide Susceptibility Mapping"

showing 3 items of 3 documents

Strategies investigation in using artificial neural network for landslide susceptibility mapping: application to a Sicilian catchment

2013

Susceptibility assessment of areas prone to landsliding remains one of the most useful approaches in landslide hazard analysis. The key point of such analysis is the correlation between the physical phenomenon and its triggering factors based on past observations. Many methods have been developed in the scientific literature to capture and model this correlation, usually within a geographic information system (GIS) framework. Among these, the use of neural networks, in particular the multi-layer perceptron (MLP) networks, has provided successful results. A successful application of the MLP method to a basin area requires the definition of different model strategies, such as the sample selec…

HydrologyArtificial Neural NetworkAtmospheric Sciencegeographygeography.geographical_feature_categoryGeographic information systemArtificial neural networkComputer sciencebusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaDrainage basinLandslideScientific literatureHazard analysisStructural basinGeotechnical Engineering and Engineering GeologyPerceptronGISArtificial Neural Network; GIS; Landslide Susceptibility MappingbusinessCartographyCivil and Structural EngineeringWater Science and TechnologyLandslide Susceptibility Mapping
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Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping

2016

The choice of the proper resolution in landslide susceptibility mapping is a worth considering issue. If, on the one hand, a coarse spatial resolution may describe the terrain morphologic properties with low accuracy, on the other hand, at very fine resolutions, some of the DEM-derived morphometric factors may hold an excess of details. Moreover, the landslide inventory maps are represented throughout geospatial vector data structure, therefore a conversion procedure vector-to-raster is required.This work investigates the effects of raster resolution on the susceptibility mapping in conjunction with the use of different algorithms of vector-raster conversion. The Artificial Neural Network t…

Artificial neural networkResamplingEnvironmental EngineeringGeospatial analysis010504 meteorology & atmospheric sciencesComputer scienceArtificial neural network; Grid-cell size; Landslide susceptibility mapping; Resampling; Vector-to-raster conversion; Ecological Modeling; Environmental Engineering; Software0208 environmental biotechnologyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTerrain02 engineering and technologycomputer.software_genre01 natural sciencesArray data structureGrid-cell sizeImage resolutionLandslide susceptibility mapping0105 earth and related environmental sciencesArtificial neural networkEcological ModelingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaVector-to-raster conversionLandslidecomputer.file_format020801 environmental engineeringPolygonRaster graphicscomputerAlgorithmSoftwareEnvironmental Modelling & Software
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Landslide susceptibility mapping: a comparison of logistic regression and neural networks methods in a small sicilian catchment

2012

Artificial Neural Network Landslide Susceptibility MappingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia
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