Thermal remote sensing is a useful and economic method for geothermal exploration. Thermal remote sensing data used to map and quantify temperature anomalies associated with surface geothermal features such as hot springs, fumaroles, and heated ground. Solar, lapse rate and evapotranspiration effects has been modeled to reduce the non-geothermal effects on land surface temperature. A least square methodology has been applied to calculate the model coefficients for Landsat satellite images. The final thermal anomaly map was compared exist thermal anomaly features. The results show 63% of calculated anomaly regions were consistent with real anomaly features.