热红外遥感在地热异常提取中的应用
2015-10-21翟锡丹邢立新元楠楠王晓东高志勇陈潇
翟锡丹 邢立新 元楠楠 王晓东 高志勇 陈潇


摘要 热红外遥感技术对地热的研究是一项非常重要的手段,在对地热的研究中,利用Landsat8卫星数据源的热红外波段,采用辐射传输方程算法进行地表温度反演,结果发现受地形因素的影响,温度反演的热异常点分布在接收太阳辐射较多的区域。为了减弱这一影响,该研究进行了地形校正,并以抚松县地区为研究对象分析了地表温度的热异常状况。结果表明,经过地形校正,在一定程度上显现了真实的温度异常区域,抚松县内已知的2个地热资源也在反演结果中显示出来,并且该县的北部与西南部都有地表温度异常区,可以作为地热资源的预测。
关键词 热红外遥感;地热;辐射传输方程;地形校正
中图分类号 S126;TP79 文献标识码 A 文章编号 0517-6611(2015)03-358-03
Application of Thermal Infrared Remote Sensing Technology in Extracting Heat Anomalies of Geothermal
ZHAI Xidan, XING Lixin*, YUAN Nannan et al
(College of Geoexploration Science and Technology, Jilin University, Changchun, Jilin 130026)
Abstract Thermal infrared remote sensing technology is a very important tool to the study of geothermal. The surface temperature was inversed by using radiative transfer equation algorithm and the data source is the thermal infrared band of satellite Landsat8. It was found that the abnormal thermal inversion points tend to appear in the regions where they receive more solar radiation, being affected by the topography. In order to reduce the impact of topography, a topographic correction was conducted, and the heat anomalies of the surface temperature in a case study of Fusong area were analyzed. After topographic correction, the results show the true temperature to a certain extent in the former anomaly region, and both the known geothermal resources within Fusong are obtained in the inversion results. Besides, there are heat anomalies of the surface temperature areas in the north and southwest of the county shown in the inversion results, which could predict geothermal resources.
Key words Thermal infrared remote sensing; Geothermal; Radiative transfer equation; Topographic correction
基金項目 吉林省地质勘查基金项目(2014地勘1313)。
作者简介 翟锡丹(1989- ),女,山西运城人,硕士研究生,研究方向:热红外遥感。
*通讯作者,教授,硕士生导师,从事遥感与GIS研究。
收稿日期 20141208
热红外遥感技术对研究地表温度具有重要的意义,它以信息量大、检测精度高以及受地面条件限制小等优点应用于地热资源。调查中。地球表面的温度一部分是太阳辐射的作用,另一部分是来自于地球内部的热源该研究主要探讨后者的地热能。1999年杨锋杰等采用卫星多波段遥感影像处理与解译,发现地热异常区域[1]。2003年杨波等对TM6热红外信息分析处理,结合遥感构造解译,对腾冲西南216 km2范围内进行了地热资源预测[2]。……
