| 摘要: | 計畫目標:傳統森林及農作物面積及產量的測量方法不但耗費頗大且不具時效,已不敷使用,尤其是台灣地區面積狹小、地形和地物復雜,傳統測量方法更是困難重重.因此,本計畫之主要工作重點即在於研究發展適用於台灣地區森林面積估算及其變化監測之遙測技術,以解決傳統測量方法所遭遇之困難.此外,亦將評估應用衛星資料在森林分類及農作物面積估算之可行性及實用性.另一方面,在全球重視森林資源與二氧化碳排放問題的同時,如能即時地發展遙測技術應用於我國的森林面積之即時計算,不但可掌握二氧化碳的排放權,甚至還有利可圖,對國內森林資源的開發與應用更有莫大的幫助.計畫架構: 為達成計畫之目標,本年度主要的工作項目則包括觀測範圍廣大之AVHRR、SPOT-4 VI以及高地面解析之SPOT HRV等衛星觀測資料的收集,衛星觀測幾何對植被指數之影響及其校正,森林面積計算結果之評估與模式之改進,以及遙測資料在森林分類及農作物面積估算之測試與分析,期能建立適用於台灣地區之估算模式.預期效益: 預期年度計畫執行完成後除可建立台灣地區各月份、各季節公里級的植被指數資料庫,供其他相關研究之應用參考外,並將建立台灣地區森林面積估算及變異監測模式.此外,亦將提供地形效應對衛星遙測植被指數之影響,以及衛星資料在森林分類及農作物面積估算之評估結果,作為後續或相關研究之參考。 Project objectives: Conventional means of estimating the area and growth of forestlands and farmlands in Taiwan has not only been expensive, but also time-consuming. This has been especially difficult as the area of Taiwan is narrowly shaped, and the terrain and land cover is both considered complex. Therefore, the main goal of this project is to develop methods that are suitable in the estimation and monitoring of the forests around Taiwan through the utilization of remote sensing technology. The project hopes to assess the applicability of using satellite data in forest classifications and crop yield estimations, and if possible, develop the technology into a real-time basis. As more attention is being paid on the global emission of CO2, new rules have been implemented regarding the amount each country can release, which depends primarily on the area of forestland a country owns. If we can keep a close eye on the changes of our forests, we can be in accordance with the emission protocols, and perhaps even obtain some profit. This would be of tremendous help to the development and application of Taiwan's forest resources. Project structure: In order to obtain the goals mentioned above, the primary task for this year will include the collection of satellite data that provide extensive coverage from AVHRR and SPOT-4 VI, and also high-resolution images from SPOT HRV. With the acquired data, there are three aspects to achieve: (1) Determination and correction of the influence on the vegetation index from different satellite observational angles. (2) Assessment of the forest land calculations, and conducting improvements of the models used. (3) Testing and analysis of satellite data in forestland classification and crop land estimation. Anticipated results: (1) The completion of a vegetation index database for each respective month and season of Taiwan. (2) The development and improvement of models in forest land estimation and changes. (3) Understanding how the terrain affects remote sensing retrievals of the vegetation index. In addition, obtaining analytical results made on forestland classifications and cropland assessments, which can be used for future researches. 研究期間：9101 ~ 9112 |
