近年來，氣候變化問題導致城市溫度升高，根據研究表明不同的地表覆蓋會對都市熱島效應有不同貢獻量，對於建築物而言太陽光直射屋頂，其屋頂材質吸熱程度直接影響著頂樓住戶的舒適度，進而提高空調需求，而空調亦是造成熱島效應的因子之一，在此惡性循環下將會使都市溫度及能源消耗不斷增加，地表溫度增加也會造成行人尺度熱舒適度降低。但是，如何使居住在城市中的居民容易和簡單地了解何種土地覆蓋會對城市溫度產生影響，是本研究要解決的問題。

對於非專業學者的民眾來說，二維地表溫度圖和科學數據表示不直觀且難以理解。因此，在這種情況下，將城市溫度的3D可視化並整合至3D Web-GIS中是合適的解決方案。首先使用UAV搭載FLIR Duo Pro R熱紅外相機及MicaSense RedEdge-M多光譜相機獲取資料，並使用波段套合方法分別將兩種相機的影像資料轉換為相同像幾何，改善波段錯位現象，即可進行後續空三及建模工作，在這個程序裡我們會產製DSM(Digital Surface Model)、多光譜、熱紅外正射影像、三維地表溫度模型及三維仿真模型。

使用OBIA(Object-Based Image Analysis)技術結合高程資訊及多光譜影像資料進行土地覆蓋分類，將分類好的成果及模型匯入TerraExplorer軟體，軟體中可以將土地覆蓋成果內的土地覆蓋類別及溫度屬性賦予給網格模型，這樣即可查看模型上的材質及溫度，最後使用TerraExplorer提供的應用程序編程接口（API）進行二次開發，建立客製化的3D Web-GIS平台，將帶有屬性的三維地表溫度模型、仿真模型成果發佈至3D Web-GIS，提供使用者操作、分析、瀏覽都市熱環境。

In recent years, climate change has caused urban temperatures to increase. According to research, different surface coverage will contribute differently to the Urban Heat Island(UHI) effect. However, how to make residents living in cities easy to understand what kind of objects, materials and types of buildings will affect the city temperature is the problem to be solved in this research. But for the non-expert, the representation of two-dimensional surface temperature maps and scientific data is not intuitive and difficult to understand. Therefore, in this case, integrating 3D visualization of urban temperature into 3D Web-GIS is the appropriate solution. First use Unmanned Aerial Vehicle(UAV) equipped with FLIR Duo Pro R and RedEdge-M camera to obtain data, and use band co-registration method to transform each bands to the same image geometry respectively, to improve the problem of band mis-registration, then the subsequent aerotriangulation and modeling works can be performed. In this program, we will produce Digital Surface Model(DSM), thermal infrared(TIR) ortho image, multispectral ortho image, 3D Land Surface Temperature(LST) model and photo-realistic 3D Real model. Next, we use Object-Based Image Analysis (OBIA) technology to combine elevation information and multispectral data to perform land cover classification. The classification results and the model produced in the previous step are imported into TerraExplorer. TerraExplorer can classify mesh model by land cover classification data, and give the attribute information into model, so we can identify the material and temperature on the model. In the final, the application programming interface (API) provided by TerraExplorer was used for secondary development to create a customized 3D Web-GIS platform and providing users to operate, analyze, and browse urban thermal environment.

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