Land Surface Temperature Retrieval Based On Thermal Infrared Remote Sensing Data And Research On The Exploring Methodology Of Geothermal Resources In Dandong-liaoyang

In recent years,with the emergence of a series of problems such as the depletion of traditional fossil fuels and the deteriorating environment,the development of new energy has become one of the long-term energy development strategies in China.Geothermal resources have attracted much attention due to their rich,clean and pollution-free advantages,and are gradually considered as alternatives to traditional energy.However,traditional geothermal exploration methods have long exploration periods,which wastes human and material resources,and sometimes it even induces geological disasters.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 to acquire surface temperature information and detect shallow geothermal resources simply and rapidly,so can delineate geothermal prospects by analyzing the geothermal signs and temperature anomaly area in different time periods has become a new technical measure to find geothermal resources.Land surface temperature,an important parameter in the ground energy balance and water balance,is also a significant indicator for monitoring the dynamic changes of the earth's resources and environment and plays an irreplaceable role in the energy exchange between the surface and the atmosphere.Usually,we can use the technique of land surface temperature inversion based on thermal infrared remote sensing data to conduct research on geological exploration,meteorological prediction,agricultural production,disaster monitoring and other related fields.The two kinds of thermal infrared remote sensing images MODIS and Landsat8 used in this paper are obtained at NASA and USGS free of charge.Landsat8 data was selected because the TIRS thermal infrared sensor carried by Landsat8 is more advanced with higher spatial resolution and temperature resolution,which is more conducive to the separation of surface temperature from atmospheric temperature and monitoring of small temperature changes.Therefore,it is suitable for the inversion of the surface temperature;MODIS data is one of the most commonly used remote sensing data for land surface temperature retrieval owing to its wide spectral range,high update frequency and mature algorithm.According to the different characteristics of the two data,the research and analysis were conducted to find out the most accurate and practical inversion algorithm.ENVI software is used to process the image to obtain the temperature inversion results.This paper takes the Dandong-Liaoyang area as the research object.The area is rich in geothermal resources including many geothermal fields and geothermal hot spots,which provide favorable background conditions for ground temperature inversion research.After the previous data were collected,the spatial distribution of the high temperature regions in the inversion results was compared with local hot springs,fracture tectonic,local historical temperatures and MODIS surface temperature products to verify the correlation of the spatial distribution of local geothermal resources and fault structures.Therefore,we can deduce the general distribution of geothermal resources and provide a reliable scientific reference for the application of thermal infrared remote sensing technology in the search for geothermal resources.