Extraction of Geothermal Information from Multi-Source Remote Sensing Data in the Luoning Basin
In order to explore the distribution of geothermal resources in the Luoning Basin and provide data support for future scientific and reasonable development,this work proposed a comprehensive prediction method of multi-source and multi-temporal remote sensing technology.The Landsat 8 and ASTER data were used to conduct day and night temperature inversion by atmospheric correction method and emissivity normalization method,and the temperature anomaly area was extracted.Results show that this method can eliminate the influence of solar radiation,and a negative correlation exists between day temperature and night temperature.The abnormal areas of high temperature were mainly distributed in water bodies and urban areas,extending in a linear manner.Combined with multi-temporal satellite data,alteration and structural information were extracted,temperature,alteration and structural layers were superimposed,and comprehensive analysis of existing geological data was combined to finally delineate three target areas.Among them,seven hot spring spots were discovered in the Jinjiazhuang-Guangwumiao area and Huojialing-Lingdong area through field surveys,which have verified the reliability of this method.Based on geothermal resource theory,geothermal targets can be well delineated combined with remote sensing technology and geological data,and the results show high accuracy.This method can quickly predict the distribution of geothermal resources,characterized by low cost,short cycle time and good application value.
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