Journal of Jilin University(Information Science Ed ›› 2018, Vol. 36 ›› Issue (1): 62-68.

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Land Surface Temperature Retrieval in Eastern Liaoning Geothermal Area Based on Thermal Infrared Remote Sensing Data

HE Jinxin, SUN Huanzhao, LI Wenqing, ZHENG Bofu, JIANG Tian   

  1. College of Earth Sciences, Jilin University, Changchun 130021, China
  • Received:2017-09-24 Online:2018-01-25 Published:2018-03-14

Abstract:  In order to solve the problem of geothermal resources exploration and development, the retrieval of
land surface temperature based on thermal infrared remote sensing data has become a new technology to find
geothermal resources. We used multiple months Landsat-8 data with the atmospheric correction method (RTE:
Radiative Transfer Equation) to perform land surface temperature retrieval. Through the comparison of
temperature inversion results and the verification of the point coordinates of the hot springs, the accuracy of
August and September were relatively high and reliable. By comparison the spatial distribution of the high
temperature regions and the fracture tectonic we conclude that they have a very high degree of similarity.
Therefore, it is possible to infer the existence of geothermal resources through the high temperature regions and
geological structures of inversion results.

Key words:  geothermal resources, land surface temperature retrieval, atmospheric correction approach, thermal inferred remote sensing, Landsat-8

CLC Number: 

  • TP701