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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/52330


    Title: 多時序三維空間資訊於地層下陷監測及分析---子計畫:以空載光達技術進行地層下陷監測之研究(II)
    Other Titles: Land Subsidence Monitoring Using Airborne Lidar Surveying Technique (II)
    Authors: 邱式鴻
    Contributors: 行政院國家科學委員會
    國立政治大學地政學系
    Keywords: 地層下陷;監測;空載光達;數值地型模型
    Land subsidence;Monitoring;Lidar;DEM
    Date: 2008
    Issue Date: 2012-01-02 10:00:55 (UTC+8)
    Abstract: 地層下陷是台灣西南部地區一個很嚴重的問題,受地層持續下陷影響,每當颱風侵襲期間,持續性的大雨或豪雨之後常導致排水不良,造成相當嚴重的災情。因此,為求有效了解地層下陷量並進行地層下陷監控,已有傳統的精密水準測量,以及GPS高程測量方法實際應用於地層下陷量的監測。然這兩種監測方式均需藉到現地觀測,且觀測資訊均屬點或線的分佈型態,除較無法獲取全面性的監測資料之外,所需要的時間成本也較多。因此,96年度國科會永續會防災科技研究三年期整合型計劃在總計劃「多時序三維空間資訊於地層下陷監測及分析」之下,提出以空載光達測量技術,利用其能在短時間自動獲取大區域且具高精度高密度的特性進行地層下陷監測可行性的探討與評估,本計劃即為總計畫中的子計畫二。本計劃執行的第一年已著手規劃實驗區光達資料之掃瞄,且已建立好以空載光達資料進行地層下陷量分析的模式。接下來第二年的計畫,將繼續蒐集實驗區第二年的空載光達資料並進行第一年所發展以空載光達資料進行地層下陷量分析的模式探討,並從原始點雲資料中改善DSM資料、DEM資料生產程序,產製第二年期的DSM資料、DEM資料及其他三維空間資訊,供其他子計畫使用。第三年的計畫除確立地層下陷空載光達掃描的作業方式和監測模式之外,並將比較光達DEM資料與傳統航測DEM資料之差異性,分析歷年來之地層下陷量。以目前蒐集的文獻分析,空載光達測量技術已可達到約5cm高程精度,且可提供甚多之細節。本年度若以第一年和第二年所蒐集之空載光達資料證實所建置以空載光達資料進行地層下陷量分析模式的可行性,將來結合各個子計劃的研究成果將更有助於未來地層下陷監測工作之進行和後續地層下陷成因之分析。
    Land subsidence along the southwestern area in Taiwan is a serious problem. The continuous land subsidence leads to the poor drainage, causing serious flood during the heavy rainfall. Therefore, traditional precise leveling surveying and GPS height surveying techniques have been implemented for effective land subsidence monitoring. However, these two surveying techniques are time-consuming and not cost-effective because they need to collect the height data by setting up the instruments on site. In addition, those collected point-scattering or profile-scattering data cannot provide the global data for whole area to conduct comprehensive analysis and evaluation for land subsidence. Therefore, this study will evaluate and investigate the feasibility of airborne LIDAR data for land subsidence. Airborne LIDAR data is acquired by airborne LIDAR surveying technique. This whole new surveying technique can collect 3-D point clouds with high height accuracy and high point density in short time. By using the above-mentioned characteristics, airborne LIDAR data is highly potential to provide global data for land subsidence without time-consuming and with cost-effective. This study is one sub-project of three-year integrated research project, titiled “Monitoring and Analyses for Land Subsidence Using Multi-temporal 3D Geoinformation”. In the first year, the plan for collecting airborne LIDAR data has been mapped out after the collected relevant references have been analyzed. More importantly, the model for land subsidence monitoring using airborne LIDAR surveying technique also has been decided. The next year therefore will investigate the developed model after the airborne LIDAR data in the second year are collected. The DEM and DSM data for other sub-projects in the integrated research project will be generated in the next year. The last year will analyze the land subsidence and compare the differences of data generated from aerial photogrammetry and airborne LIDAR surveying technique. If the land subsidence monitoring by using airborne LIDAR data is feasible, the research results combined with other sub-projects in the integrated research project will be useful for future land subsidence monitoring and analysis
    Relation: 應用研究
    學術補助
    研究期間:9708~ 9807
    研究經費:543仟元
    Source URI: http://grbsearch.stpi.narl.org.tw/GRB/result.jsp?id=1381601&plan_no=NSC97-2625-M004-001&plan_year=97&projkey=PB9709-0258&target=plan&highStr=*&check=0&pnchDesc=%E5%A4%9A%E6%99%82%E5%BA%8F%E4%B8%89%E7%B6%AD%E7%A9%BA%E9%96%93%E8%B3%87%E8%A8%8A%E6%96%BC%E5%9C%B0%E5%B1%A4%E4%B8%8B%E9%99%B7%E7%9B%A3%E6%B8%AC%E5%8F%8A%E5%88%86%E6%9E%90---%E5%AD%90%E8%A8%88%E7%95%AB%EF%BC%9A%E4%BB%A5%E7%A9%BA%E8%BC%89%E5%85%89%E9%81%94%E6%8A%80%E8%A1%93%E9%80%B2%E8%A1%8C%E5%9C%B0%E5%B1%A4%E4%B8%8B%E9%99%B7%E7%9B%A3%E6%B8%AC%E4%B9%8B%E7%A0%94%E7%A9%B6%28II%29
    Data Type: report
    Appears in Collections:[地政學系] 國科會研究計畫

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