E reflectance by the LEDAPS was performed using the radioactive transfer code six s (Second Simulation of a Satellite Signal in the Solar Spectrum) , integrating (i) meteorological data in the NCEP; (ii) digital elevation models in the GCM (Worldwide Climate Model); (iii) internal aerosol optical thickness (AOT); and (iv) ozone data collected by NASA [42,43,45]. LEDAPS also utilizes the digital elevation model to correct the parallax error resulting from the regional topographic relief, too as systematic geometric and precision corrections applying surface handle chips [42,43,45]. The MOD09A1 surface reflectance item with the MODIS sensor is composed of 7 bands of surface reflectance images with IQP-0528 In Vivo spatial resolution of 500 m, temporal resolution of 8 days, and radiometric resolution of 16 bits. The composition from the pictures permits the observation of your earth’s surface each 8 days as a result of higher spatial coverage, low view angle, the absence or shadow of cloud, as well as the presence of aerosols . The MOD09A1 product is equivalent to measurements at ground level with no scattering or atmospheric absorption. The item algorithm MOD09A1 corrects the effects of dispersion and absorption of gases and aerosols (atmospheric correction), at the same time as the adjacency effects brought on by the variation of land cover, bidirectional reflectance distribution function (BRDF), as well as the effects of atmosphere coupling and cloud contamination. The atmospheric Guretolimod supplier correction of this product was also performed by the six s algorithm, in which data of ozone concentration, water vapor, and aerosols were obtained from other MODIS products and auxiliary products have been obtained from NASA’s Information Assimilation Workplace . The reflectance pictures with the MOD09A1 item surface made use of in this study were obtained around the identical days, or in the most days than these obtained by Landsat 8, offered there was no precipitation. two.4. Surface Albedo Models two.four.1. sup Utilizing Landsat 8 (OLI) A surface albedo (sup ) model for the OLI Landsat eight was developed within this study employing a multiple linear regression of surface reflectance bands (Figure two). The sup model was depending on combining MOD09A1 surface albedo ( MODIS ) with OLI Landsat 8 surface reflectance more than different land surface cover sorts. The MODIS was made use of as the dependent variable and surface reflectance information from the OLI Landsat eight were utilized as independent variables inside the multiple linear regression equation.two.4.1.Making use of Landsat eight (OLI)Sensors 2021, 21,A surface albedo model for the OLI Landsat eight was developed within this study model making use of a a number of linear regression of surface reflectance bands (Figure 2). The was determined by combining MOD09A1 surface albedo with OLI Landsat 8 surface was utilised as the dependreflectance more than diverse land surface cover sorts. The six of 24 ent variable and surface reflectance data from the OLI Landsat 8 had been employed as independent variables inside the multiple linear regression equation.Figure 2. Chart flow of surface albedo model improvement methods from surface reflectance of your Figure 2. Chart flow of surface albedo model development actions from surface reflectance from the Landsat OLI. Landsat 88OLI.The The MODIS within this study was estimated following the approach of Liang et al. , as within this study was estimated following the method of Liang et al. , explained in Equation (1): (1): as explained in Equation= 0.160 0.290 0.243 4 0.112 0.112 – 0.0015 (1) MODIS = 0.1601 0.2902 0.2433 0.1160.116 5 0.08170.081 (1) – 0.