Geothermal Area Detection Using Landsat Etm+ Thermal Infrared Data And Its Mechanistic Analysis-A Case Study In Tengchong, China

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Journal Article: Geothermal Area Detection Using Landsat Etm+ Thermal Infrared Data And Its Mechanistic Analysis-A Case Study In Tengchong, China

Abstract
Thermal infrared (TIR) remote sensing is an important technique in the exploration of geothermal resources. In this study, a geothermal survey is conducted in Tengchong area of Yunnan province in China using TIR data from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor. Based on radiometric calibration, atmospheric correction and emissivity calculation, a simple but efficient single channel algorithm with acceptable precision is applied to retrieve the land surface temperature (LST) of study area. The LST anomalous areas with temperature about 4-10 K higher than background area are discovered. Four geothermal areas are identified with the discussion of geothermal mechanism and the further analysis of regional geologic structure. The research reveals that the distribution of geothermal areas is consistent with the fault development in study area. Magmatism contributes abundant thermal source to study area and the faults provide thermal channels for heat transfer from interior earth to land surface and facilitate the present of geothermal anomalies. Finally, we conclude that TIR remote sensing is a cost-effective technique to detect LST anomalies. Combining TIR remote sensing with geological analysis and the understanding of geothermal mechanism is an accurate and efficient approach to geothermal area detection.

Authors 
Qiming Qin, Ning Zhang, Peng Nan and Leilei Chai








Published Journal 
International Journal of Applied Earth Observation and Geoinformation, Date Not Provided





DOI 
10.1016/j.jag.2011.02.005


 

Citation

Qiming Qin,Ning Zhang,Peng Nan,Leilei Chai. . Geothermal Area Detection Using Landsat Etm+ Thermal Infrared Data And Its Mechanistic Analysis-A Case Study In Tengchong, China. International Journal of Applied Earth Observation and Geoinformation. (!) .