Atmospheric correction of high-resolution satellite imagery for quantitative retrieval of biophysical parameters

Abstract

There is an increased trend to acquire high-resolution satellite imagery for a variety of applications. To estimate land surface biophysical variables accurately, atmospheric correction is a necessary step. The heterogeneous distributions of surface cover types and aerosols in the atmosphere require three-dimensional (3D) radiative transfer modeling, which is computationally prohibitive for a quick correction of satellite imagery. In this study, we developed the procedures and simplified formulae for estimating the aerosol optical depth, calculating the surface and atmospheric adjacency effects, and inverting surface reflectance.