衛星影像判釋技術應用於山崩潛勢分析及風險評估模式建置之研究

林洧全

doi:10.6833/CJCU.2012.00207

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衛星影像判釋技術應用於山崩潛勢分析及風險評估模式建置之研究

Application of Satellite Image Classification Technology in Landslide Potential Analysis and Construction of Risk Assessment Model

林洧全 , Masters　　Advisor：陳怡睿　　

繁體中文 DOI： 10.6833/CJCU.2012.00207

山崩災害；風險評估；基因演算法自動演化類神經網路；紋理分析；多變量不安定指數；地理資訊系統； Landslide disaster ； Risk Assessment ； Genetic Adaptive Neural Network ； Texture analysis ； Dangerous Value Method ； Geographic Information System

Abstract │ Reference (89) │ Times Cited (13) │ Altmetrics

Abstract 〈TOP〉

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In recent years due to technological and economic development the original plain area in Taiwan has been nearly fully developed, and human development has extended down to the hillside area. Human development coupled with the global impact of extreme weather, typhoons and heavy rains caused the hillside disaster. The scope and impact extent of the damage are more serious than ever before. For this reason, the establishment of a risk assessment model to assess landslide hazard event is essential to disaster prevention.
In this study, the Genetic Adaptive Neural Network was implemented in high-resolution texture analysis techniques for the interpretation of satellite images of the sub-categories and to obtain surface information and hazard log data, and multivariate instability index to build landslide disaster latent sense of pattern. Ten landslide hazard potential factors are included: slope, geology, elevation, distance from the fault, distance from water, terrain roughness, slope roughness, effective accumulated rainfall, and developing situation. The potential degree of correlation between factors was tested through the correlation test. To study satellite images before and after typhoon Morakot, the image subtraction and normalized vegetation are used to calculate index for disaster information and logarithmic normal distribution, the probability of landslide disasters. A long interview with the local residents, review of the relevant literature, and setting out the conditions for the preservation of objects of the probability of victimization were carried out to calculate the spatiotemporal impact of the study area, vulnerable area to flooding and resistance level of disaster probability of exposure of the population. The regional risk map was plotted with the help of geographic information system and the landslide hazard risk assessment model.
The results show that the landslide disaster predicted by this study is consistent with the information provided on the website of Soil and Water Conservation Bureau. From the risk map, the high-risk zone is concentrated in the junction of Taoyuan and Bora in Liouguei area. Therefore, the management authority should propose countermeasures for this area to achieve mitigation purposes.

Reference ( 89 ) 〈TOP〉

1.王宣惠(2009)，「花蓮地區土砂潛勢災害風險評估模式建置之研究」，長榮大學土地管理與開發研究所碩士論文，台南。
連結：
4.李瑞陽，莊佳文(2006)，「運用影像分塊方法於高解析衛星影像土地利用判釋準度之研究」，航測及遙測學刊，第11卷，第4期，頁403-415。
連結：
8.岡本舜山(1998)，「地震工程學」，國立台灣大學工學院地震工程研究中心翻譯。
連結：
12.林妙雀、酈芃羽(2004)，「影響消費者對零售通路商店形象因素之研究－以基因演算法最佳化類神經網路模式加以驗證」，運籌研究集刊，第6期，頁80-97。
連結：
13.林盈彬(2009)，「花蓮地區集水區土砂災害影響範圍劃定研究」，國立中興大學水土保持研究所，碩士論文，台中。
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Times Cited (13) 〈TOP〉

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