Estimation of the surface temperature in the Huaytapallana mountain in Junín, Perú

Global climate change is one of the main problems that humanity faces in this century [1]. The amount of carbon dioxide and water vapor in the air is increasing which increases humidity, average rainfall and temperature and directly affect the speed of melting glaciers. In the present work, a method of calculating surface temperatures from satellite images of Landsat TM and Landsat OLI (band 6 and band 10 respectively) for the Huaytapallana Mountain at the Mantaro valley is validated. Initially, the radiance of the upper part of the atmosphere (TOA) is extracted from the digital number (DN) values. The TOA radiance is then converted into surface radiance applying the Reference Channel Emissivity (RCE) method considering that the emissivity of the study area is constant (0.97, the glacial ice emissivity). The surface temperature is extracted after the surface radiance. Based on this data, the correlation was made from data from Google Earth Engine (EEFlux), showing a high correlation between 0.97 to 0.98.