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
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Summary:	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 technique is used to carry out such analyses on two Sicilian basins. Seven resolutions and three conversion algorithms are investigated. Results indicate that the finest resolutions do not lead to the highest model performances, whereas the algorithm of conversion data may significantly affect the ANN training procedure at coarse resolutions. •Landslide susceptibility maps using ANN.•Effects of raster resolution and vector-to-raster conversion algorithms.•The finest resolutions do not necessarily lead to the highest model performances.•The algorithm of conversion data may significantly affect the ANN training.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1364-8152
DOI:	10.1016/j.envsoft.2016.07.016