Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping

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...

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Bibliographic Details
Published in:	Environmental modelling & software : with environment data news Vol. 84; pp. 467 - 481
Main Authors:	Arnone, E., Francipane, A., Scarbaci, A., Puglisi, C., Noto, L.V.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-10-2016
Subjects:	Algorithms Artificial neural network Conversion Grid-cell size Landslide susceptibility mapping Landslides Learning theory Mapping Mathematical models Neural networks Raster Resampling Vector-to-raster conversion Grid-cell size Artificial neural network Resampling Landslide susceptibility mapping Vector-to-raster conversion
Online Access:	Get full text
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