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.