Assessment of impact factors for landslides based on rough sets theory:A case study on the Qingganhe River of the Three Gorges area
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摘要: 运用地理信息系统和遥感技术,从LandsatTM遥感图像获取了一系列滑坡及其影响因子数据。结合粗糙集理论,对三峡库区秭归县青干河流域滑坡发生的影响因子进行了分析,提取了一组基本的滑坡影响条件属性因子,并导出了基于该因子集合的判断滑坡与非滑坡的规则集。研究结果表明,所选择的坡度、高程、斜坡类型、植被指数和岩石地层单元等5个条件属性因子对滑坡是重要的影响因素(核);由粗糙集生成的对预测滑坡相对较有价值的11条决策规则中,3条主要决策规则可作为滑坡影响因子的评价规则。Abstract: Landslides can be affected by a series of environmental factors.The present study aimed to analyze landslide susceptibility in the Qingganhe River of Three Gorges area in China.Spatial information techniques,including RS and GIS with an innovative data mining approach,namely,the rough sets theory,are incorporated to the study for landslide factors analysis.In a case study,the cores(i.e.,slope,elevation,slope type,vegetation index,and rock type) and reductions of the data attributes were obtained...
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Key words:
- landslides /
- data mining /
- rough sets theory /
- spatial information
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