英文摘要
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Landslides usually resulted in the broken down of the transportation where the personnel are unreachable. From the past investigations, governing factors of influencing landslide occurrences are complicate. To resolve the aforementioned problems, this research focused on the spatial information technology to attain the information of geology data. Firstly, we collect the surface material by remote sensing for monitoring the vast scope of study area on Shei-Pa National Park. The Boolean Rough Set information classification system is used as a tool to find the threshold with respect to occurrence of landslide in each attribute based upon the knowledge database. The GIS, remote sensing and digital elevation model (DEM) is used to attain the attribute values the surface of the earth. As the landslide occurred, this study offers a systematic solution on investigating the disaster. It can not only obtain effective factors but also compute the quantification values for analysis. On the other hand, the major soil component of loam and gravel on Shei-Pa area resulted in different landslide problem. The major factors and knowledge scope are successfully analyzed. Finally, the contribution of this research renders a rule-based knowledge database to provide better understanding on the occurrence of landslide. This rule-based knowledge database provides an effective and urgent system to manage landslide. The contributions of this study are shown as: (1) NDVI (normalization difference vegetation index), VI (vegetation index), elevation, distance from the road are the major influenced factors for landslide. (2) Meanwhile, the hazard landslide potential diagrams (landslide susceptibility map) are drawn and a rational accuracy rate of landslide is calculated. Thus, an instant and on-time monitoring to manage landslide strategy can be made.
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