The paper describes a dataset that was collected by infrared thermography, which is a non-contact, non-intrusive technique to collect data and analyze the built environment in various aspects. While most studies focus on the city and building scales, the rooftop observatory provides high temporal and spatial resolution observations with dynamic interactions on the district scale. The rooftop infrared thermography observatory with a multi-modal platform that is capable of assessing a wide range of dynamic processes in urban systems was deployed in Singapore. It was placed on the top of two buildings that overlook the outdoor context of the campus of the National University of Singapore. The platform collects remote sensing data from tropical areas on a temporal scale, allowing users to determine the temperature trend of individual features such as buildings, roads, and vegetation. The dataset includes 1,365,921 thermal images collected on average at approximately 10 seconds intervals from two locations during ten months.

翻译：本文介绍了一套通过红外热成像技术采集的数据集。该技术作为一种非接触、非侵入式手段，可多维度采集数据并分析建成环境。现有研究多聚焦城市与建筑尺度，而屋顶观测站则能提供高时空分辨率观测，并捕捉街区尺度的动态交互作用。本研究在新加坡部署了集成多模态平台的红外热成像观测站，能够评估城市系统中广泛的动态过程。该观测站架设在两栋建筑顶部，俯瞰新加坡国立大学校园的室外环境，以时间序列方式采集热带地区的遥感数据，可分析建筑物、道路、植被等独立地物的温度变化趋势。该数据集包含十个月期间从两个观测点采集的1,365,921张热红外影像，平均采集间隔约为10秒。