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| 題 名 | 多期無人機影像建模及光達測繪於落石型災害公路邊坡之養護與減災應用=Application on Maintenance and Hazard Mitigation of Rockfall-prone Highway Slope with Multi-temporal UAV Photogrammetry and UAV-LiDAR Surveying |
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| 作 者 | 曾廷睿; 吳宥增; 劉昱緯; 邱雅筑; | 書刊名 | 水土保持學報 |
| 卷 期 | 55:2 2025.12[民114.12] |
| 頁 次 | 頁3499-3512 |
| 分類號 | 442.17 |
| 關鍵詞 | 落石; 無人機; 公路巡查; 光達; 地形變異; Rockfall; Unmanned aerial vehicle; Highway inspection; LiDAR; Topographic variation; |
| 語 文 | 中文(Chinese) |
| 中文摘要 | 台灣多山地形使公路邊坡易受落石災害威脅。台灣公路邊坡初期仰賴視野受限的目視巡查 進行安全評估,為擴大監測範圍與提升評估能力,公路局逐步導入科技工具,其中無人機攝影 測量透過三維建模擴展檢查視野並初步識別坡面狀況及浮落石,但在植林區域仍難以穿透獲取 地表資料,形成監測盲區。本研究為克服此限制,進一步導入無人機光達(UAV LiDAR)技術, 利用其高穿透性對林下區域進行地形資料蒐集。以台 21 線 141k+415 落石型災害邊坡為案例, 運用多期無人機影像與光達數值高程模型,結合 M3C2 演算法進行變異比對。研究成果顯示, 整合無人機攝影測量與光達的綜合技術為邊坡提供量化且全坡面的評估資料。不僅有效識別並 追蹤浮落石料源、張力裂縫,更精準掌握落石的發生位置、範圍與大小,進而為短期清除與長 期養護策略提供重要參考依據。為邊坡監測和地貌變化偵測提供了更全面且精確的研究成果。 |
| 英文摘要 | Taiwan's mountainous terrain makes highway slopes highly susceptible to rockfall hazards. Initially, the safety assessment of Taiwan's highway slopes relied on visual inspections with limited visibility. To expand the monitoring range and enhance assessment capabilities, the Highway Bureau gradually introduced technological tools. Among these, UAV photogrammetry has broadened the inspection field of view and provided preliminary identification of slope conditions and unstable rockfalls through 3D modeling. However, it struggles to penetrate vegetated areas to acquire ground surface data, creating monitoring blind spots. To overcome this limitation, this study further introduced Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) technology, utilizing its high penetration capability to collect topographic data in forested areas. Taking a rockfall-prone slope at Taiwan Provincial Highway 21, 141k+415, as a case study, multi-temporal UAV photogrammetric and LiDAR-derived Digital Elevation Models (DEMs) were used in conjunction with the Multiscale Model to Model Cloud Comparison (M3C2) algorithm for change detection analysis. The research results indicate that the integrated technology of UAV photogrammetry and LiDAR provides quantitative and full-slope assessment data. This not only effectively identifies and tracks the sources of unstable rockfall material and tension cracks but also more accurately determines the location, extent, and size of rockfalls. This, in turn, offers crucial reference for short-term clearing and long-term maintenance strategies. The study provides more comprehensive and precise results for slope monitoring and geomorphological change detection. |
本系統中英文摘要資訊取自各篇刊載內容。