Application of GeO satellite observation data for atmospheric correction of LEO satellite image

Understanding of atmospheric transfer process for atmospheric correction has been recognized as a major important issue of satellite image analysis. However, the optimal system to assess atmospheric parameter is still debated. This study proposes a possibly better method for atmospheric correction for low-earth orbit (LEO) satellite image. For estimating the characteristics of atmospheric transmission, gaseous absorption and particulate scattering have been estimated by using the geostationary orbit (GEO) satellite data with reanalysis data. The spectral aerosol optical properties from the 500 m resolution (1-hour interval) of the Geostationary Ocean Color Imager (GOCI) data and the 30 m spatial resolution of the Landsat 8 Operational Land Imager (OLI) provide a new opportunity to test the proposed algorithm. After the spatial and temporal collocations with the simple threshold tests, the atmospheric correction of OLI images from the case study showed that the averaged changes of reflectance at three visible R-G-B channels were red (10%), green (12%), blue (30%), respectively. Compared to these results with the other operational satellite products such as MODIS surface reflectance data, the mean relative error (MRE) is less than 10%. Combining the GEO and reanalysis data is more effective method for the atmospheric correction of LEO satellite.