<p>In the preparation of landslide susceptibility maps, particular attention is paid to selecting parameters that best represent the characteristics of the study area. The aspect parameter is among the most practical parameters to produce and apply. In this study, differences among the results of aspect maps automatically classified using the ArcGIS software for 64 landslide sites were examined. Although these automatically generated maps are often preferred due to their visually appealing presentation and classification based on the main directions, researchers frequently modify the default classification scheme. The automatic classification typically produces ten subclasses, yet many researchers prefer to use the “reclassify” option to merge the two north-oriented subclasses into a single north class, resulting in nine subclasses.This study analyzed the distribution of landslides within the subclasses generated by the “reclassify” option. Based on the landslide ratios, success rate percentages were calculated. Four different groups were created using automatic classification and applied to 64 maps to examine the variations in landslide frequency.The results indicated that four of the generated groups performed significantly better than the others.</p>

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Optimizing landslide susceptibility maps with aspect

  • Seda Çellek

摘要

In the preparation of landslide susceptibility maps, particular attention is paid to selecting parameters that best represent the characteristics of the study area. The aspect parameter is among the most practical parameters to produce and apply. In this study, differences among the results of aspect maps automatically classified using the ArcGIS software for 64 landslide sites were examined. Although these automatically generated maps are often preferred due to their visually appealing presentation and classification based on the main directions, researchers frequently modify the default classification scheme. The automatic classification typically produces ten subclasses, yet many researchers prefer to use the “reclassify” option to merge the two north-oriented subclasses into a single north class, resulting in nine subclasses.This study analyzed the distribution of landslides within the subclasses generated by the “reclassify” option. Based on the landslide ratios, success rate percentages were calculated. Four different groups were created using automatic classification and applied to 64 maps to examine the variations in landslide frequency.The results indicated that four of the generated groups performed significantly better than the others.