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應用數值地形及光學影像於潛在大規模崩塌地形特徵判釋

Topographic Characteristics Interpretation of Potential Deep-Seated Landslides from Digital Elevation and Remote Sensing Images

摘要


民國98年8月莫拉克颱風重創臺灣南部地區,造成許多大規模崩塌,尤以高雄市小林里(原小林村)發生最嚴重災情。為避免類似重大災害出現,判釋潛在大規模崩塌區位是一重要工作,其提供未來防災及減災工作之重要資訊。在大規模崩塌發育過程中,地形上常有一些特徵出現,如主崩崖、次崩崖、反向坡等。本文分別使用40米、5米及1米不同解析度之數值地形資料,以其坡度圖進行判釋,並佐以8米、2米及0.25米不同解析度影像輔助判釋,結果顯示解析度1米之空載光達高精度數值地形提供更多細微地形特徵資料,並搭配解析度0.25米之航空照片以協助判釋,大大提高判釋潛在大規模崩塌特徵的能力,且再透過野外查核,以確定崩塌特徵正確判釋。

並列摘要


The typhoon Morakot in 2009 August caused lots of deep-seated landslides in southern Taiwan, especially the most serious ones in Hsiaolin village. In order to prevent this kind of serious disaster, interpretation of potential deep-seated landslides is an important work that leads to disaster prevention and mitigation of future important information. During the develop of deep-seated landslides movement process, some characteristics often can be found from terrain data. We use different resolutions of the digital terrain data and images to interpret the sites of potential deep-seated landslides, the results show that high precision digital terrain data from airborne LiDAR (Light Detection And Ranging) can provide more subtle topographic characteristics, greatly improving the capability to interpret the potential deep-seated landslides, with aerial photos during the interpretation. Results of the interpretation are validated through field work to ensure the accuracy.

被引用紀錄


夏國強(2016)。蘭台地區坡地崩塌演化與破壞機制分析〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201602999
嚴文彬(2016)。應用邊坡單元預測大規模崩塌〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU201602783

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