Validation of a new atmoshperic correction Software using AERONET reference data
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Atmospheric correction of satellite images based on radiative transfer calculations is a prerequisite for many applications.
The program ATCOR, developed at the German Aerospace Center (DLR),
is a rather versatile atmospheric correction software, capable of processing data acquired by different optical satellite sensors.
A Python-based version of this code is currently being developed to process L2A products of Sentinel-2, Landsat-8 and of new space-based hyper-spectral sensors such as DESIS and EnMAP.
In this contribution we will present the first validation results of this software, comparing L2A products generated from Sentinel-2 L1C images with in-situ (AERONET) data.