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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/158015


    Title: 整合自動化監測、資料判釋、數值模擬以及水工試驗進行整體流域複合型災害整治分析與衝擊評估—應用多元航遙測技術監測河川集水區全環境長時序地表形變(子計畫一)(I)
    Application and Evaluation of Multiple Insar Techniques for Watershed Monitoring
    Authors: 林士淵;林玉菁
    Contributors: 地政系
    Keywords: 差分雷達干涉;多時序雷達差分干涉;深度學習
    DInSAR;Multi-temporal InSAR;Deep learning
    Date: 2021-10
    Issue Date: 2025-07-14 11:10:48 (UTC+8)
    Abstract: 河川是一個動態變動的生態系統，系統中的每一個元素在時間上具有變異性、在空間上具有異質性，而每一個自然因素或人為因素的改變都可能會誘發整個系統的變動，並反映在下一個時刻裡河川系統呈現的樣貌。地形為河川生態系統中的一環，當地形在某個時間點的某個位置發生改變，自然會隨著時間推移而引起整個動態生態系統的變動，倘若發生的變動過大，便容易造成人民生命財產損失及河川生態破壞。為了避免這樣的災害發生，本計畫應用多元航遙測技術，以大安溪集水區的地形為研究對象，利用多元衛載雷達影像，執行能快速處理的雷達強度變遷偵測、次像素偏移偵測，也執行差分雷達干涉、多時序雷達干涉，此外，並進階發展深度學習自動辨識干涉環、萃取形變活躍區等方法，監測河川集水區全環境、長時序之地表形變。預期成果能掌握這些土砂量隨著時間的推移在空間上呈現的消長情形，能對集水區安全監測與調查有所助益。
    A river is a dynamically changing ecosystem. Each element in the system is variable in time and heterogeneous in space. Changes in each natural or human factor may induce changes in the entire system. Furthermore, the changes are going to reflect what the river system will look like in the next moment. Topography is a part of the river ecosystem. When the topography changes at a certain point in time, it will naturally cause changes in the entire dynamic ecosystem over time. If serious changes occur, it will easily cause loss of people's lives and property, and also the damage to the river ecological system. In order to avoid such disasters, this project applies multiple photogrammetry and remote sensing techniques to monitor the topography change over Daan River catchment area. Spaceborne SAR data is the core source for the project, while multiple InSAR-related techniques are applied and evaluated for watershed monitoring. SAR intensity change detection and sub-pixel offset tracking are firstly applied. DInSAR and multi-temporal InSAR (MTInSAR) techniques are following employed. Based on the products derived from DInSAR and MTInSAR, we further develop automatic detection of interferogram fringes through deep learning algorithm and Active Deformation Area (ADA) extraction respectively. With all the monitoring results, it is expected to identify the spatial change of these soil and sand quantities over time, and can be helpful for watershed safety monitoring and investigation.
    Relation: 科技部, MOST109-2625-M004-002, 109.08-110.07
    Data Type: report
    Appears in Collections:[地政學系] 國科會研究計畫

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