气候变化领域集成服务门户(CCPortal): Detecting Geothermal Anomalies Using Multi-Temporal Thermal Infrared Remote Sensing Data in the Damxung-Yangbajain Basin, Qinghai-Tibet Plateau

CCPortal

DOI	10.3390/rs15184473
	Detecting Geothermal Anomalies Using Multi-Temporal Thermal Infrared Remote Sensing Data in the Damxung-Yangbajain Basin, Qinghai-Tibet Plateau
	Li, Xiao; Jiang, Guangzheng; Tang, Xiaoyin; Zuo, Yinhui; Hu, Shengbiao; Zhang, Chao; Wang, Yaqi; Wang, Yibo; Zheng, Libo
发表日期	2023
EISSN	2072-4292
卷号	15 期号:18
英文摘要	Geothermal energy is an eco-friendly, renewable source of underground thermal energy that exists in the interior of the earth. By tapping into these formations, fluids can be channeled to heat the rock formations above, resulting in a significantly higher land surface temperature (LST). However, LST readings are influenced by various factors such as sun radiation, cyclical variations, and precipitation, which can mask the temperature anomalies caused by geothermal heat. To address these issues and highlight the LST anomalies caused by geothermal heat, this paper proposes a methodology to efficiently and quickly calculate the multi-temporal LST leveraging of the Google Earth Engine (GEE) in the Damxung-Yangbajain basin, Qinghai-Tibet Plateau. This method incorporates terrain correction, altitude correction, and multi-temporal series comparison to extract thermal anomaly signals. The existing geothermal manifestations are used as a benchmark to further refine the methodology. The results indicate that the annual mean winter LST is a sensitive indicator of geothermal anomaly signals. The annual mean winter LST between 2015 and 2020 varied from -14.7 degrees C to 26.7 degrees C, with an average of 8.6 degrees C in the study area. After altitude correction and water body removal, the annual mean winter LST varied from -22.1 degrees C to 23.3 degrees C, with an average of 6.2 degrees C. When combining the distribution of faults with the results of the annual mean winter LST, this study delineated the geothermal potential areas that are located predominantly around the fault zone at the southern foot of the Nyainqentanglha Mountains. Geothermal potential areas exhibited a higher LST, ranging from 12.6 degrees C to 23.3 degrees C. These potential areas extend to the northeast, and the thermal anomaly range reaches as high as 19.6%. The geothermal potential area makes up 8.2% of the entire study area. The results demonstrate that the approach successfully identified parts of known geothermal fields and indicates sweet spots for future research. This study highlights that utilizing the multi-temporal winter LST is an efficient and cost-effective method for prospecting geothermal resources in plateau environments.
关键词	land surface temperature (LST)geothermal resource multi-temporal thermal infrared remote sensing Google Earth Engine (GEE)Qinghai-Tibet Plateau
英文关键词	LAND-SURFACE TEMPERATURE; SATELLITE IMAGERY; HEAT-FLOW; AREA; TENGCHONG; VOLCANO; ENERGY; FIELD; PARK
WOS研究方向	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001075179100001
来源期刊	REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/282992
作者单位	Chengdu University of Technology; Chengdu University of Technology; China Geological Survey; Institute of Geomechanics, Chinese Academy of Geological Sciences; Chinese Academy of Geological Sciences; Chinese Academy of Sciences; Institute of Geology & Geophysics, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
推荐引用方式 GB/T 7714	Li, Xiao,Jiang, Guangzheng,Tang, Xiaoyin,et al. Detecting Geothermal Anomalies Using Multi-Temporal Thermal Infrared Remote Sensing Data in the Damxung-Yangbajain Basin, Qinghai-Tibet Plateau[J],2023,15(18).
APA	Li, Xiao.,Jiang, Guangzheng.,Tang, Xiaoyin.,Zuo, Yinhui.,Hu, Shengbiao.,...&Zheng, Libo.(2023).Detecting Geothermal Anomalies Using Multi-Temporal Thermal Infrared Remote Sensing Data in the Damxung-Yangbajain Basin, Qinghai-Tibet Plateau.REMOTE SENSING,15(18).
MLA	Li, Xiao,et al."Detecting Geothermal Anomalies Using Multi-Temporal Thermal Infrared Remote Sensing Data in the Damxung-Yangbajain Basin, Qinghai-Tibet Plateau".REMOTE SENSING 15.18(2023).