吉林大学学报(信息科学版) ›› 2018, Vol. 36 ›› Issue (1): 62-68.

• 论文 • 上一篇    下一篇

基于热红外遥感数据辽东地热区地表温度反演

贺金鑫, 孙焕朝, 李文庆, 郑博夫, 姜 天   

  1. 吉林大学 地球科学学院, 长春 130021
  • 收稿日期:2017-09-24 出版日期:2018-01-25 发布日期:2018-03-14
  • 作者简介:贺金鑫(1979— ), 男, 长春人, 吉林大学教授, 硕士生导师, 主要从事遥感地质的理论及应用研究, (Tel)86-13504435829(E-mail)hejx@ jlu. edu. cn。
  • 基金资助:
    中国地质调查局基金资助项目(1212011220247)

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

摘要: 为解决地热资源的勘探开发问题, 基于新型的 Landsat鄄8 热红外遥感数据, 采用大气校正法(RTE:
Radiative Transfer Equation)反演出辽东地热区在 2014 年不同月份的地表温度, 并将反演结果中的高温异常区
与研究区内已知温泉点的空间分布特征进行对比, 结果表明, 两组数据在 8、 9 月份时具有很高的空间相关性。
该方法及结果对于探明辽东地热资源的空间分布及进一步勘探开发具有重要的指示意义。

关键词: 热红外遥感, 地表温度反演, 大气校正法, Landsat-8 热红外遥感,  地热资源

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

中图分类号: 

  • TP701