A Study of Applying Remote Sensing Techniques on Landslide Changes

• Main Authors: Jia-Hung Liu, 劉家宏
• Other Authors: 馮正一
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/21260494169344562674

碩士 === 國立中興大學 === 水土保持學系所 === 96 === This study applies three remote sensing techniques, include satellite image analysis, three-dimensional laser scanning and electrical resistivity imagine profile (RIP) method to analyze and discuss the following topics: (1) using various vegetation indices to interpret a landslide, (2) using 3-D laser scanning on the barren slope and the vegetation recovery area of the landslide, (3) using RIP method to estimate the location of groundwater surface, (4) to analyze the stability of the landslide, (5) using various vegetation indices to investigate the area of vegetative restoration. With DEM and the RIP results, this study adopts SLIDE program to back calculate the strength parameters of the strata and to analyze the stability of the landslide. Satellite images of SPOT and FORMOSA2 were input into IDRISI program to calculate vegetation indices to compare the effectiveness of various vegetation indices on interpretation of the landslide. Three-dimensional laser scanning results at three different times were used to roughly evaluate vegetative restoration of the studied area. It is concluded that the distance-based indices are generally better than slope-based indices. However, the parameters of distance-base index analysis require spectra of barren surface. There may not be enough barren surfaces in a large area. Therefore, the parameters of distance-base index analysis are sometime difficult to obtain. For applying the electrical resistivity imagine profile method, this study shows that RIP results can be used to roughly estimate the distribution of the strata and location of groundwater surface. This is very helpful on later detailed stability analysis of the landslide.