Using Landsat-8 images in the estimation of the surface radiation balance

The variation of the biophysical parameters is fundamental for the understanding of the dynamics of the land use and coverage in the estimation of the  surface radiation balance.In this context, the objective is to evaluate and validate the surface radiation balance for the Mogi Guacu River Basin (MGRB) using Landsat-8 images and the Surface Energy Balance Algorithm for Land (SEBAL) algorithm.For the study used a Landsat-8 image orbits 220 and point 75 for the day 15/06/2015 and data from automatic stations Pradopolis and Sao Carlos (SP).The image processing was performed in the Qgis 2.18 software, where it performed the atmospheric correction (reflectance and radiance), then the albedo, temperature, emissivity, vegetation index, short wave and incident finally the radiation balance.The results showed that the dynamics of soil use and cover changes the final radiation balance, once the lowest values of albedo and temperature presented higher values of Normalized Difference Vegetation Index (NDVI) and Radiation balance, whereas higher values of albedo and temperature were noticed lower values of NDVI and Radiation Balance.The relative error obtained by the comparison of the measured and estimated radiation balance was around 4.35% showing the good accuracy of the Landsat-8 images for the estimation.