Comparing Atmospheric Correction Performance for Sentinel-2 and Landsat-8 Data

Most remote sensing applications require atmospheric correction of satellite images and an increasing part exploits multi-temporal data. Sentinel-2 satellites and Landsat-8 provide almost equivalent satellite images and a joint use of both data sources gives the advantage of a denser time series if the quality of atmospheric correction is consistent. The present study investigates the performance of atmospheric correction processor ATCOR and shows, that it gives consistent results for Sentinel-2 and Landsat-8 data enabling a combined use of both satellites. Both satellite sensors provide the same correct shape of surface reflection spectra.