District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
This provides urban planners and researchers with detailed thermal data for tropical areas, though it is incremental as it extends existing methods to a new scale and location.
The paper tackled the lack of high-resolution thermal data at the district scale by deploying a rooftop infrared thermography observatory in Singapore, resulting in a dataset of 1,365,921 thermal images collected at 10-second intervals over ten months to analyze temperature trends of urban features.
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.