都市3D熱環境模型的建立—以無人機傾斜攝影測量法建構

對於都市規劃來說，如何迅速且動態地評估環境以最小化熱衝擊及都市內部的能源消耗量，在近年來變得尤為重要。本研究通過運用傾斜攝影及無人駕駛飛行器這兩種遙感技術來構建三維熱模型，該模型可實現多角度觀察，並通過使用實景建模軟件ContextCapture，可透過模型參考實際環境。本研究選取台北市一處校園作為實驗場地，並使用大疆無人飛行器（DJI Mavic 2 ENTERPRISE DUAL）收集數據。採用高效方法以生成分辨率與高精確度的中小型熱模型。該模型可為基於熱特徵的基礎科學數據提供視覺參照、多角度可視化高解析度的研究數據並且對於打造更具可持續性與適應能力的社區來說有很大幫助。  It is important for urban planners to be able to quickly and dynamically assess an environment to minimize the thermal impact and amount of energy consumed in an urban area. We used two state-of-the-art remote sensing (RS) techniques: oblique photography and unmanned aerial vehicles (UAVs), to produce a three-dimensional thermal model that can be observed from multiple angles and can easily refer to the real conditions using the ContextCapture reality modeling software. We use da campus in Taipei as our experimental space and data was collected using the most recent DJI UAV (DJI Mavic 2 Enterprise, dual camera version). We developed a more effective way to generate small to mid-scale thermal models with acceptable resolution and precision. Our model can provide a visual for essential scientific data on thermal features and Multi-angle visualization of high-resolution research data, which is necessary for designing more sustainable and resilient communities.