中文摘要：

摘要遥感大数据分析与应用正成为地球信息科学领域重要的研究内容。利用热红外遥感技术进行地热异常信息的提取可以为地热资源勘查评价提供重要的依据。Landsat系列卫星数据拥有长时间的数据积累和较高的空间分辨率，是地表热环境时空序列大数据分析的重要数据。最新一代的Landsat8卫星热红外数据在延续了较高分辨率的同时，敏感性更强，更加适合于对地表热环境空间分布进行精确分析。本文以安徽黄山汤口一寨西工作区为研究区，分别选用2016年12月9EtLandsat8的热红外遥感数据和2009年12月6日Landsat5TM数据，采用大气校正方法进行地表温度的反演和对比分析，通过密度分割分析提取地热异常信息，并综合遥感地质解译信息、气象、地形等数据，对工作区地热资源有利区进行了预测。结果表明：两个时相地表温度反演结果的空间分布基本一致，利用Landsat8热红外数据的地表温度反演结果可以有效地获取地热异常信息，所圈定的地热异常较为合理，与工作区内主要的断裂构造分布一致，且和物探勘查和钻孔实验结果相对应，可以为地热资源勘查大数据分析提供重要的数据源。

英文摘要：

The analysis and application of remote sensing bigdata has become the important research content of the geo-information science field. Using thermal infrared remote sensing technology to extract geothermal anomaly information can provide an important basis for geothermal resources exploration and evaluation. Landsat series of satellite data with a long time of data accumulation and high spatial resolution, is an important big data of the spatial and temporal sequence analysis of thermal environment. The latest generation of Landsat8 satellite thermal infrared data in the continuation of a higher resolution and more sensitive, is more suitable for the analyzing the spatial distribution of land surface thermal environment accurately. In this paper Tangkou-Zhaixi work area of Huangshan City in Anhui Province was taken as the study area, the Landsat8 thermal infrared remote sensing data on December 9th in 2016 and the Landsat5 TM data on December 6th in 2009 were selected for the land surface temperature inversion using atmospheric correction method, and the geothermal anomaly information was extracted through the density segmentation analysis. Then combined with remote sensing geological interpretation in formation, weather, terrain data and so on, the favorable areas of the geothermal resources in work area are predicted. The results show that the spatial distribution of the land surface temperature inferred from two phase images is basically the same. The land surface temperature inversion using Landsat8 thermal infrared data can effectively obtain the geothermal anomaly, geothermal anomalies delineated in the work area are more reasonable, which is consistent with the main fracture distribution in the work area, as well as geophysical exploration and drilling results. Therefore, it can provide an important data source for large data analysis for geothermal resources exploration in the future.