Analysis of aerosols in cloudy scene with satellite GCOM-C
In this work, characterization of biomass burning aerosols generated by large-scale wild fire events is dealt with the advantages of multi-channel measurements including near-UV and/or significance of simultaneously loading polarized and non-polarized bands of GCOM-C/SGLI. At first, advantage of near–UV bands by SGLI is shown. The simple color composite images with the three primary colors shifted to shorter wavelengths as (R, G, B): (443, 412, 380 nm) than usual clearly demonstrate the smoke behavior caused by wild fires. Next the index AAI, which is defined as the ratio of the satellite observing reflectance R at two bands of 412 and 380 nm, indicates the presence of biomass burning aerosols (BBAs). Then the mutual use of radiance and polarization is effective in radiative transfer simulations for retrieval of severe BBAs. The obtained results seem to suggest the difficult task of simultaneous analysis of aerosols and clouds in a hazy scene.
The Kyoto College of Graduate Studies for Informatics (Japan)
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