The obtaining of models of surface temperature by means of Shallow Surface Temperature - SST, shows a first approach to surface temperature anomalies in the exploration stage of a geothermal area of interest in a fast, portable and economic way. In the Colombian Geological Service - SGC, the SST materializes at depths between 20 cm and 150 cm deep, taking into account the normalization of data to eliminate the influence of solar radiation, thermal diffusivity, albedo, slopes, relief, the effect of climatic seasons. As a method parallel to the estimation of models of temperature of the terrestrial surface, the Remote Sensing - RS are integrated that have satellite images of terrestrial observation in the thermal infrared. Based on the ground truth established by the SST, the degree of positive or negative correlation is calculated with the temperature models estimated by RS, reaching a method of validation between remote sensing techniques and ground truth. Within the proposed methodology, the processing of a temperature model from RS images is proposed, specifically the processing of images with bands in the thermal infrared (such as Landsat 8 TIRS) of the geothermal area. The validation of the model achieved through the DIP - Digital Image Processing, is performed against the ground truth (SST) through qualitative and quantitative analysis with variables such as vegetation indexes or anomalies of elements such as Uranium - U, Thorium - Th and Potassium - K by gamma ray spectrometry, according to the availability of information in each geothermal area. In order to establish a positive or negative correlation between the temperature anomalies estimated from different techniques (SST vs RS), parametric correlation tests were performed pixel by pixel (Pearson coefficient).