2003-01-012024-05-14https://scholars.lib.ntu.edu.tw/handle/123456789/661626摘要：數值地形模型（DTM）在環境經營管理上有廣泛的用途，相關政府單位經常委託生產DTM。然而DTM資料生產方式及資料種類非常多元，不同方法所生產的DTM品質參差不齊，影響資料應用的效益及可信度。本研究針對DTM的品質問題加以研究，希望結合學術研究和實務工作經驗，發展一套檢核及提升DTM資料品質的作法。研究工作重要項目包括：資料收集、研發誤差偵測方法、誤差來源分析、誤差減少與消除之建議、撰寫報告等。本研究將順利完成上列項目，針對現有DTM資料之品質加以分析，並提供一套分析方法供水保局參考。後續研究工作建議針對DTM資料的本質及適用性加以探討。<br> Abstract: DTM (digital terrain model) serves broad functions on environmental management. Government departments usually entrust DTM production projects. There are, however, various kinds of DTM data and various ways to produce them. The quality of DTM data varies depending on the way it is produced. The efficiency and credibility of applying the data is thus influenced. In this research, we focus on the quality of the data. We try to integrate academic research and practical working experiences, hoping to develop a set of methods to examine and enhance the quality of DTM data. Our main tasks include: collecting data, researching and developing a way to detect errors, analyzing the causes of errors, suggesting ways on how to reduce and eliminate errors, writing the report. We will finish the tasks listed above and further analyze the quality of DTM data, providing a set of analytical methods for the Soil and Water Conservation Bureau. We suggest that follow- up research will be focused on exploring the essence of DTM data and its applicability.數值高程模型數值地物模型資料品質誤差檢核Digital Elevation ModelDigital Surface ModelData QualityError Investigation