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Updated: Jul 9, 2025
07:03
In Situ Surface Temperature Measurement in a Conveyor Belt Furnace via Inline Infrared Thermography
Published on: May 30, 2020
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District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
Subin Lin1, Vasantha Ramani1, Miguel Martin1
1Berkeley Education Alliance for Research in Singapore, CREATE Tower 1 Create 6 Way, 138602, Singapore, Singapore.
Scientific Data
|December 2, 2023
Summary
This study introduces a novel dataset of thermal images captured by a rooftop observatory in Singapore. The data offers high-resolution insights into urban environmental dynamics at the district scale.
Area of Science:
- Environmental Science
- Remote Sensing
- Urban Planning
Background:
- Traditional studies often focus on city or building scales.
- A gap exists in high-resolution, dynamic data at the district scale for urban environments.
Purpose of the Study:
- To introduce a unique dataset for analyzing the built environment.
- To enable detailed study of dynamic urban processes at the district scale.
- To provide high temporal and spatial resolution remote sensing data.
Main Methods:
- Deployment of a rooftop infrared thermography observatory in Singapore.
- Utilizing a multi-modal platform for data acquisition.
- Collecting thermal images at high frequency (approx. 10-second intervals) over ten months.
Main Results:
- A dataset of 1,365,921 thermal images was collected.
- The data captures temperature trends of buildings, roads, and vegetation.
- High temporal and spatial resolution observations of tropical urban environments were achieved.
Conclusions:
- The dataset provides a valuable resource for understanding urban microclimates.
- Enables analysis of dynamic interactions within urban systems.
- Supports research in urban planning and environmental management.
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