  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.
