The Hazard Study of Landslide Potential Using Satellite Image and Geographic Information System for the Hsin Shan Village in Nantou , Taiwan

• Main Authors: Jia-ming Lin, 林家名
• Other Authors: Tzyy-shiou Chang
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/38179217855455477235

碩士 === 朝陽科技大學 === 營建工程系碩士班 === 98 === The research was conducted to study the natural hazards of regional landslide potential in Hsin-shan village in Nantou, Taiwan, using the SPOT-5 satellite images produced at selected time periods before and after several floods resulted from storm/ typhone in recent years. These tropical cyclones include Toraji, Mindulle, and Morakot which caused catastrophic damages in many areas near the central mountain ridge in Taiwan including the study area. In the study, the satellite images were combined with the data from Digital Elevation Model (DEM), Geographic Information System (GIS), Normalized Difference Vegetation Index (NDVI), and the unsupervised image classification to evaluate the landslide potential of the study area which was divided into a 20m x 20m grid system. Results of the landslide potential evaluation were then super-positioned and analyzed with the maps representing 5 selected factors related to geographic and site conditions to reveal the weight and % area of landslide due to these studied factors. Based on the results of the study, the target area was then categorized into a 5 landslide potential level system from which a landslide potential map was developed as final product of the research. The developed hazard potential map can be used for future reference and use in preparedness/rescue plans in the event of severe floods from storms or typhones in region. The results of the study revealed that the areas on or near mountain slope along the major rivers have the highest landslide potential in the study area, which include Chen Yu-Lan river, Pen-Kang (DF170), and south Peng-Kang (DF169), where landslide has been a long term threat for several decades. In addition, site factors such as surface coverage, slope orientation and geological condition also proven to be significantly affecting landslide potential in the study area.