台灣地勢陡峭，每當天然災害發生時，土石流或土石崩落等造成人民生命財產安全的重大損失，在各防災與救災單位的努力下，落實災前主動預警及預防，災時管控及災後落實救災與重建，為最重要的目標，以八八水災為例，2009 年8 月8 日莫拉克颱風重創南台灣，防災及救災單位均在第一時間欲獲取及時且正確的資訊，救災初期由於天候不佳，災區地貌變化快速，以人為進行勘災及救災十分不易，利用衛星快速且大範圍的優勢，拍攝獲取災區為最佳方案，但由於颱風豪雨過境時，地表上空多為雲層覆蓋，因此光學衛星影像用以勘災及救災，常常緩不濟急，而雷達衛星影像正好補足此缺點，透過多顆衛星聯合觀測，縮短拍攝時距，可清晰顯示地表狀況，經由比對以獲得救災及後續災區重建的重要情資。有鑑於此，本計畫以整合遙測資訊為概念，建立全天候遙測資訊平台，主要囊括光學及雷達遙測資訊，以兩大種類遙測系統，交互配合監測，以時效性而言，可快速提供預警機制，對防災、救災及減災的決策支援上有著實的意義，並藉由服務導向架構（Service Oriented Architecture, SOA）的制定，透過分散式架構及網際網路地理資訊系統（WebGIS）平台的發佈，協助提供遙測影像資料庫，輔助災情通報現場勘災人員取得最新及回報資訊，透過多元化資訊的回傳及整合，提供快速且準確的調查分析。 The prevailing complex geological and ecological conditions of Taiwan, particularly under the global warming, have drawn considerable attention from various geo-ecological communities because of their vulnerability to produce various natural hazards at different scales. Located in the tropical/subtropical zone of the Pacific Rim, its ecological and rugged mountainous properties are environmentally sensitive making monitoring and observations especially difficult because of the high population density. For example, in terms of natural hazard mitigation tectonically active regions are used for analyzing the cause of abundant risk events, such as earthquakes, landslides and land subsidence. In fact Taiwan is well suited as a test site for studying those geologically disastrous processes. Satellite remote sensing by SAR and optical sensors, aided by ground tidal data, bathymetric maps, and aerial-photo, provides an effective and efficient tool for understanding coastal processes over large areas of coverage and long time spans. Implementing novel techniques of space remote sensing has proved to be an effective means in recent years for greatly improving our understanding of these phenomena. To this end, in this project, we proposed to design and to implement an all weather platform that integrates all available resources of remote sensing data for purposes of supporting basic academic research on earth environments in relation to natural disaster and building pre-disaster base data sets, and of supporting decision making during and post-disaster events. The platform is constructed under the framework of SOA (service oriented architecture) and a Web-GIS based data distribution scheme is adopted to timely distribute the remote sensing in regular and emergency basis. It is expected that the operational platform will be consequently or even significantly in providing timely information, from image database to survey and analysis, for natural disasters that may occur. 研究期間：10008 ~ 10107
