Based on thermal infrared and multispectral remote sensing data,this study analyzed the thermal spring-related structures interpreted from remote sensing images.Thermal springs crop out at the intersections of asterisk-and lambda-shaped structures,with asterisk-shaped structures exhibiting more favorable conditions.By delving into remote sensing characteristics related to thermal springs,this study presented remote sensing factors like surface temperature,hydroxyl anomaly,soil moisture,hydrographic net,and elevation.Using mathematical geostatistics and prediction methods based on geographical information system(GIS),including the weight of evidence,prospecting information content method,and feature factor method,this study analyzed the geological,remote sensing,and geophysical factors related to thermal springs for mathematical geostatistics and prediction.The comprehensive analysis reveals 57 favorable geothermal areas,including 8 in category A,18 in category B,and 31 in category C.All the category-A favorable geothermal areas include known geothermal sites,and one category-B favorable area reveals a 51.6℃thermal spring,suggesting reliable prediction results.The methodology of this study provides a new approach for geothermal resource prediction.
维普
万方数据