| 摘要: | 都市地區快速開發，其成長逐漸擴展至鄰近區域包括農地，已衝擊國家糧食自給率及區域生態系 統，故探討土地型態變遷下之環境衝擊為一相當重要的課題。本計晝擬以三年規劃針對北台灣地區(範 圍指台北市、新北市及桃園市），發展有關土地型態變遷下區域環境(地文、水文、熱環境與能量消耗 四個層面)衝擊之系統性評估方法，使用航太科技與遙測技術，導入台灣地球觀測系統之空間資訊、理 論分析與策略管理，建立評估模式與環境指標，提供決策者據以作業化，以提升決策支援系統效率。 第一年主軸擬為觀測與分析，利用連續且大範圍之多時期航空與衛星影像，蒐集與整理相關資料進行 特性分析，以呈現不同時期土地型態變遷之趨勢。第二年主軸擬為評估模式發展，利用資料反演與資 料探勘技術，以進行模擬模式之開發，並根據測站資料進行模式參數檢定工作，進而探討土地型態變 遷前後環境之影響。第三年主軸則擬為研擬調適策略，依據評估模式之模擬與分析結果，分別建立環 境指標；並利用空間推估方法，以模擬不同土地型態之環境指標，進而研析土地型態變遷下區域環境 衝擊之程度。最後擬綜整三年研究成果，研擬土地型態變遷影響下環境調適策略與建議，可作為未來 相關單位決策時之參據。 ;The rapid developments of urbanized areas, which are being gradually sprawled to their neighboring regions including farmlands, have jeopardized our national food self-sufficiency rate and regional ecosystems. Therefore, it is a crucial issue to assess the impacts of land use and land cover (LULC) change on the environment. This research proposes a three-year plan, with aim to develop a systematic evaluation methodology, in order to assess the environmental impacts (including physiographic, hydrologic, thermal environment, and energy consumption) with aerospace science and technology and remote sensing technology for the Northern part of Taiwan (including Taoyuan, Taipei, and New Taipei cities). The first-year objective is to implement temporal and spatial observations and geographic information analysis for the LULC change by means of continuous, large-scale, and multi-period aerial and satellite imageries as well as technologies of spatial information, theory analysis, and strategy management of Taiwan Global Earth Observation System of Systems (TGEOSS). Regarding the second-year objective, it is proposed to continue with an evaluation model developed by retrieval algorithm and data mining technique and calibrated by in-situ data, for the purpose of evaluating the impact of LULC change on environment. The third-year objective is then to establish environmental indices for the study area, based on the simulation and analyzed results. The mentioned regional environmental indices will be used to quantify the degree of environmental impact by the spatial estimation method of data processing and statistical computing. At the end of this research project, it is to propose: (1) strategies regarding environmental adaptation for the study area; (2) standardizing procedures of environmental assessments and improving the support system of decision-making processes, in order to provide relevant agencies with a practical reference for future operations. |
