基于无人机热红外的山区地热资源靶区圈定

李冰川; 唐广龙; 赵恒谦; 谢吾; 陶右鹏; 韩梦云; 徐一鸣; 胡浩; 吴扬

doi:10.3799/dqkx.2025.305

Volume 51 Issue 6

Jun. 2026

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Article Navigation > Earth Science > 2026 > 51(6): 2433-2444

Li Bingchuan, Tang Guanglong, Zhao Hengqian, Xie Wu, Tao Youpeng, Han Mengyun, Xu Yiming, Hu Hao, Wu Yang, 2026. UAV Thermal Infrared Geothermal Target Area Delineation for Shallow Geothermal Resources. Earth Science, 51(6): 2433-2444. doi: 10.3799/dqkx.2025.305

Citation:

Li Bingchuan, Tang Guanglong, Zhao Hengqian, Xie Wu, Tao Youpeng, Han Mengyun, Xu Yiming, Hu Hao, Wu Yang, 2026. UAV Thermal Infrared Geothermal Target Area Delineation for Shallow Geothermal Resources. Earth Science, 51(6): 2433-2444. doi: 10.3799/dqkx.2025.305

Citation:

Li Bingchuan, Tang Guanglong, Zhao Hengqian, Xie Wu, Tao Youpeng, Han Mengyun, Xu Yiming, Hu Hao, Wu Yang, 2026. UAV Thermal Infrared Geothermal Target Area Delineation for Shallow Geothermal Resources. Earth Science, 51(6): 2433-2444. doi: 10.3799/dqkx.2025.305

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UAV Thermal Infrared Geothermal Target Area Delineation for Shallow Geothermal Resources

doi: 10.3799/dqkx.2025.305

Li Bingchuan^{1
,
,},
Tang Guanglong²,
Zhao Hengqian^{2
,
,},
Xie Wu¹,
Tao Youpeng^{2
,
,},
Han Mengyun²,
Xu Yiming³,
Hu Hao¹,
Wu Yang¹

1.
Eighth Geological Brigade of Hebei Bureau of Geology and Mineral Resources Exploration, Hebei Center of Marine Geological Resources Survey, Qinhuangdao 066000, China
2.
School of Earth Science and Surveying and Mapping Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
3.
Hebei Baodi Construction Engineering Co., Ltd., Qinhuangdao 066000, China

Received Date: 2025-09-27
Publish Date: 2026-06-25

Abstract

Abstract

In view of the low spatial resolution and strong susceptibility to solar radiation effects of satellite-based thermal infrared remote sensing in geothermal exploration, this study employs a DJI Mavic 3T unmanned aerial vehicle to acquire high-resolution true-color and thermal infrared imagery over the study area. An automated land surface temperature retrieval workflow was developed based on the DJI Thermal SDK to obtain UAV-derived surface temperature data. Validation using in situ temperature measurements demonstrates that the UAV-retrieved temperatures exhibit a high degree of consistency with the observed temperature variation trends at ground sampling points. After resampling the UAV thermal infrared imagery to 30 m, the retrieved temperatures show strong spatial agreement with those derived from Landsat-8 TIRS data. Based on the proposed "cross-shaped" and "linear" geothermal target delineation patterns, six potential geothermal targets were identified by integrating the regional structural framework with the spatial distribution characteristics of thermal anomalies. Furthermore, the geothermal genesis of the delineated targets was analyzed through the combined use of measured shallow ground temperature data and existing geological information. The results indicate that UAV-based thermal infrared technology enables high-precision identification of geothermal anomalies in complex mountainous terrains, providing effective technical support for small-scale geothermal target delineation and resource potential assessment. Future work should incorporate multi-depth ground temperature measurements and shallow heat diffusion models to strengthen the quantitative linkage between surface thermal anomalies and deep geothermal heat sources.
- UAV thermal infrared,
- geothermal anomaly,
- surface temperature inversion,
- geothermal target delineation,
- environment geology

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References(31)

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