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Drone-Based 3D Thermal Mapping of Urban Buildings for Climate-Responsive Planning

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  • Haowen Yan

    (School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
    Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhunag 050000, China
    China Meteorological Administration Xiong’an Atmospheric Boundary Layer Key Laboratory, Xiong’an New Area, Baoding 071800, China
    These authors contributed equally to this work.)

  • Bo Zhao

    (School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
    China Meteorological Administration Xiong’an Atmospheric Boundary Layer Key Laboratory, Xiong’an New Area, Baoding 071800, China
    These authors contributed equally to this work.)

  • Yaxing Du

    (School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
    Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhunag 050000, China
    China Meteorological Administration Xiong’an Atmospheric Boundary Layer Key Laboratory, Xiong’an New Area, Baoding 071800, China)

  • Jiajia Hua

    (China Meteorological Administration Xiong’an Atmospheric Boundary Layer Key Laboratory, Xiong’an New Area, Baoding 071800, China)

Abstract

Urban thermal environment is directly linked to the health and comfort of local residents, as well as energy consumption. Drone-based thermal infrared image acquirement provides an efficient and flexible way of assessing urban heat distribution, thereby supporting climate-resilient and sustainable urban development. Here, we present an advanced approach that utilizes the thermal infrared camera mounted on the drone for high-resolution building wall temperature measurement and achieves centimeter accuracy. According to the binocular vision theory, the three-dimensional (3D) reconstruction of thermal infrared images is first conducted, and then the two-dimensional building wall temperature is extracted. Real-world validation shows that our approach can measure the wall temperature within a 5 °C error, which confirms the reliability of this approach. The field measurement of Yuquanting in Xiong’an New Area China during three time periods, i.e., morning (7:00–8:00), noon (13:00–14:00) and evening (18:00–19:00), was used as a case study to demonstrate our approach. The results show that during the heating season, the building wall temperature was the highest at noon time and the lowest in evening time, which were mostly caused by solar radiation. The highest wall temperature at noon time was 55 °C, which was under direct sun radiation. The maximum wall temperature differences were 39 °C, 55 °C, and 20 °C during morning, noon and evening time, respectively. The lighter wall coating color tended to have a lower temperature than the darker wall coating color. Beyond this application, this approach has potential in future autonomous thermal environment measuring systems as a foundational element.

Suggested Citation

  • Haowen Yan & Bo Zhao & Yaxing Du & Jiajia Hua, 2025. "Drone-Based 3D Thermal Mapping of Urban Buildings for Climate-Responsive Planning," Sustainability, MDPI, vol. 17(12), pages 1-20, June.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:12:p:5600-:d:1681625
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    References listed on IDEAS

    as
    1. Haichao Zheng & Xue Zhong & Junru Yan & Lihua Zhao & Xintian Wang, 2020. "A Thermal Performance Detection Method for Building Envelope Based on 3D Model Generated by UAV Thermal Imagery," Energies, MDPI, vol. 13(24), pages 1-18, December.
    2. Haolin Tian & Sarula Chen & Guoqing Zhang & Chen Hu & Weiyi Zhang & Jiapeng Feng & Tao Hong & Hao Yu, 2025. "Research on Microclimate Influencing Factors and Thermal Comfort Improvement Strategies in Old Residential Areas in the Post-Urbanization Stage," Sustainability, MDPI, vol. 17(8), pages 1-27, April.
    3. Lei Fan & Meiyue Zhao & Jiayi Huo & Yixuan Sha & Yan Zhou, 2025. "The Impact of Vegetation Layouts on Thermal Comfort in Urban Main Streets: A Case Study of Youth Street in Shenyang," Sustainability, MDPI, vol. 17(4), pages 1-24, February.
    4. Wenqi Jiang & Yuanyuan Wang & Mengmeng Zhang, 2025. "Exploring the Industrial Heat Island Effects and Key Influencing Factors in the Guangzhou–Foshan Metropolitan Area," Sustainability, MDPI, vol. 17(8), pages 1-22, April.
    5. Hao Yang & Hao Zeng, 2025. "Impact of Changes in Blue and Green Spaces on the Spatiotemporal Evolution of the Urban Heat Island Effect in Ningbo and Its Implications for Sustainable Development," Sustainability, MDPI, vol. 17(9), pages 1-20, May.
    6. Yaoyun Zhang & Ge Shi & Ziying Feng & Entao Zheng & Chuang Chen & Xinyu Li & Difan Yu & Yunpeng Zhang, 2025. "Study on the Relationship Between 3D Landscape Patterns and Residents’ Comfort in Urban Multi-Unit High-Rise Residential Areas: A Case Study of High-Density Inland City," Sustainability, MDPI, vol. 17(10), pages 1-32, May.
    7. Maria Inês Conceição & Eusébio Conceição & António Grilo & Meysam Basiri & Hazim Awbi, 2023. "The Application of UAVs in the Evaluation of Thermal Comfort Levels in Buildings Equipped with Internal Greenhouses," Clean Technol., MDPI, vol. 5(3), pages 1-35, September.
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