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.
Zhao Ping Yang Cizhong Yuan Feng Chen Guoxu Zhou Zifan . Application of Landsat8 satellite data for geothermal resources survey in Tangkou-Zhaixi area, Huangshan City, Anhui Province[J]. Chinese Journal of Geology, 2017, 52(3): 771-782.