A data-driven approach for landslide susceptibility mapping: a case study of Shennongjia Forestry District, China

Geomatics, Natural Hazards & Risk

Bin Huang¹  Qile Huang¹  Wei Chen¹  Xudong Fu¹  Hongxing Han¹ 

[1] Wuhan University;

关键词: Geographic information system;    shallow landslide;    susceptibility mapping;    fuzzy comprehensive evaluation;    radar chart analysis;   

DOI  :  10.1080/19475705.2018.1472144

来源: DOAJ

【 摘 要 】

The main purpose of this study was to establish a data-driven approach and assess its potential for shallow landslide susceptibility mapping of the Shennongjia Forestry District, China. For the data processing, Fisher segmenting was used for the classification of topographical factors (gradient, relief amplitude, plan curvature, and normalized difference vegetation index) and the improved Otsu method was used to determine the buffer length thresholds of the locational factors (proximity to roads, rivers and faults). The computations show that these two objective methods help to avoid the uncertainty caused by the subjective judgments and the obtained thresholds are more consistent with actual conditions. Considering the different data types, the locational and topographical factors were evaluated by fuzzy comprehensive evaluation while the geological factors were evaluated by frequency index, and then the three separate evaluations were combined using radar chart analysis. The validation result shows that the susceptibility map based on a data-driven approach has a high accuracy of prediction and this approach will be salutary for risk mitigation and land-use management in mountainous regions.

【 授权许可】

Unknown