台灣地理位置與氣候因素特殊，加上造山活動使得台灣地形陡峻、地質破碎。而歷年來國內大地震使得地層受到擾動，誘發山崩之累積降雨門檻值逐漸降低，每當遇有強烈颱風、地震或是梅雨季伴隨強降雨發生時，皆會導致土石流及山崩等災害產生。
過去山崩模式分析多針對單一地震或颱風事件來進行研究，對於台灣及水庫集水區而言，兩者因空間尺度不同，因此引發山崩之影響因子也不盡相同。本研究以全台研究區及曾文水庫集水區，進行不同遙測影像尺度下，討論其山崩複合性及長、短時間觀測下，影響因子之特性與相關性，並進行山崩潛勢模擬分析與山崩災害圖建置。此外，為瞭解政府每年所進行的崩塌地整治工程中，植生變遷發展趨勢，研究中以曾文水庫集水區為例，透過不同時期衛星影像，以常態化植生指數(NDVI)與植生覆蓋因子(C) 值在崩塌地治理工程與自然復育下(未整治)進行不同時期之植生變遷狀況監測評析。
研究結果指出，全台研究區進行2011年~2013年不安定指數分析，三年影響因子排序重複性高，顯示因時間性拉長、區域範圍大，各影響因子之特質在計算過程中有可能會被消蝕或拉升至一平均值。而曾文水庫集水區進行2012年5月、7月及8月不安定指數分析，三個月因子排序重複性低，輔以當年度豪雨事件進行探討，發現於短時間小尺度空間中，當觀測時間較短及區域範圍小時，影響因子區域性特質將被突顯反應出。此外，透過2012年~2014年衛星影像，進行常態化差異植生指標與植生覆蓋C值估算，顯示曾文水庫集水區治理工程之植生變遷呈現良好趨勢。同時，輔以2012年~2014年觀測之工程變化照片，探討在不同工法下治理工程之整治績效評估。

The steep and geological sophisticated terrain in Taiwan are caused by varies factors such as earthquake, weather condition, and Orogeny. The integrity of stratum is affected by server earthquakes thus decreases the threshold of accumulated rainfall that induce the landslides. Therefore, the severe storms, earthquakes, and the rainy season could cause landslides in Taiwan.
In the past, most of landslide model analyses were focused on a single earthquake or a typhoon event. For researches of reservoirs watersheds in Taiwan area, the results of landslide model analysis that focusing on single event are affected by the dominated factors, especially the differences in spatial scale. This study analyzed the remote sensing images of varies scales in Taiwan and the Tseng-wen reservoir watershed to discuss the characteristics of factor combinations and its correlations within long-term and short-term time scale. Moreover, the landslide susceptibility analysis and maps is also established in the study as well. In order to evaluate the plant restoration efficiency that are carried by government agency every year, this study used the data in Tseng-wen reservoir watershed and analyzed via satellite images at varies time scale. The analysis methods include adopting NDVI and plant coverage factors in landslide restoration by analyze the vegetation changes in different time scale.
According to the landslide instability index analysis from 2011 to 2013, the sorted factors are highly overlapped. The case that covers longer time-span or large study areas shall affects the results for that the values of each factors were either eliminated or averaged to a mean value. The instability index analysis during May, July, and August in 2012 in the Tseng-wen reservoir watersheds shows that the sorted factors have fewer repetitions occurrence. Combining the corresponding heavy precipitation observed during the time span, the sorted factors show the localized characteristics due to short time span and small-scale study areas. Moreover, based on the satellite images from 2012 to 2014, the calculated Normalization Difference Vegetation Index and vegetation coverage indicated the recovery of vegetation change in Tseng-wen reservoir watershed. At the meantime, this study also discussed the assessments based on a variety of restoration efficiency outcomes according to the on site pictures were taken from 2012 to 2014 during the constructions.

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