本研究提出了一種突破性的解決方案，在線上地理空間視覺化地表示氣象和災害數據。該方法基於實時數據計算，將這些數據轉化為地理空間平台和XR技術（包括HoloLens 2和WebAR）可識別的3D模型，實現視覺化。通過地理空間平台，以3D場景的形式展示天氣和災害事件，使用者可以透過網頁和XR設備進行訪問，獲得互動式和沉浸式的體驗。我們採用建模和渲染技術構建數位孿生模型，並將其呈現在Cesium虛擬環境中。Cesium是一個地理空間平台，利用數位孿生技術基於觀測數據模擬真實世界的氣象和災害情景。與傳統方法相比，我們的方法提供了更具動態性的場景，並以動態演進的方式展現了雲層、降雨模式、動態水流、土石流、颱風和鋒面等氣象和災害事件。這種3D 表示和動態演進的呈現方式有助於使用者更直觀地理解和分析氣象和災害事件。幫助人更有效地理解信息和做出決策，也能夠了解台灣自然景色，並且為聯合國永續發展目標(SDGs) 做出貢獻。;This study proposes a breakthrough solution for online geospatial visual representation of meteorological and disaster data. The method is based on real-time data calculations, transforming these data into 3D models recognizable by geospatial platforms and XR technologies (including HoloLens 2 and WebAR) for visualization. Through the geospatial platform, weather and disaster events are displayed in the form of 3D scenes, and users can access them through webpages and XR devices to obtain interactive and immersive experiences. We use modeling and rendering techniques to build a digital twin and present it in the Cesium virtual environment. Cesium is a geospatial platform that utilizes digital twins to simulate real-world meteorological and disaster scenarios based on observational data. Compared with traditional methods, our method provides a more dynamic scene, and presents meteorological and disaster events such as clouds, rainfall patterns, dynamic water flows, landslides, typhoons, and fronts in a dynamically evolving manner. This 3D presentation and dynamic evolution helps users understand and analyze meteorological and disaster events more intuitively. Help people understand information and make decisions more effectively, and also understand Taiwan′s natural scenery, and contribute to the United Nations Sustainable Development Goals (SDGs).
