Aerosol remote sensing from the integrated LEO and GEO satellite observation data by determination of atmospheric transmission and surface reflection

Abstract

<p>The earth observing satellites including the low earth orbit (LEO) and geostationary orbit (GEO) platforms have been provided the geophysical data. Spectral radiances measured by a satellite-borne sensor are sensitive to both atmospheric transmission and surface reflection. These volumetric data were used to retrieve atmospheric transmission and surface reflection which can be useful to derive surface reflectance (SR) and aerosol optical thickness (AOT). Based on the extensive radiative transfer simulations with the LEO satellite’s operational atmospheric products, it is demonstrated that the use of the combined LEO and GEO satellite measurements allows for timely retrieval of SR and AOT at a reasonable accuracy. The method for both the Geostationary Ocean Color Imager (GOCI) and the Landsat-8 Operational Land Imager (OLI) data. After the spatial and temporal collocations between two different orbit data, the atmospheric correction of both satellite’s spectral reflectances showed that the averaged changes of reflectance in 10% to 30%. Moreover, comparisons with the other operational products of SR and AOT such as the ground-based Aerosol Robotic Network (AERONET) showed retrieval error of within ±5.6% SR and ±9.8% AOT. Combining the LEO and GEO satellite data are effective method for the atmospheric correction and geophysical parameter retrieval. Further work will be applied to the next generation geostationary satellites, namely the Geostationary Earth Orbit Korea Multi-Purpose Satellite (GEO-KOMPSAT-2A and -2B) platforms.</p><p>Acknowledgement<br>This subject is supported by the Korea Aerospace Research Institute (KARI) (FR19920W05) and Korea Ministry of Environment (MOE) as "Public Technology Program based on Environmental Policy (2017000160003).</p><p> </p>