• Journal of Atmospheric and Environmental Optics
  • Vol. 14, Issue 3, 221 (2019)
WUShichao 1、2、*, Jinji MA1、2, Qunying ZHANG1、2, Haixiao YU1、2, and Yuan AN1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3969/j.issn.1673-6141.2019.03.007 Cite this Article
    WUShichao, MA Jinji, ZHANG Qunying, YU Haixiao, AN Yuan. Research on Haze and Fog Distinguishing Algorithm Based on Particle Polarization Characteristics[J]. Journal of Atmospheric and Environmental Optics, 2019, 14(3): 221 Copy Citation Text show less

    Abstract

    The compositions of fog and haze particles are different. The droplets have the characteristics of large particles, while the composition of haze is complex, and small particles are mostly present. Polarization observation has very great sensitivity to small particles. Based on this characteristic, the polarized radiation characteristics of fog and haze particles are calculated using the vector linearized discrete ordinate radiative transfer(VLIDORT) model. The simulation results can be used to obtain the polarization reflectance of fog and haze particles. In the range of scattering angles of 125° to 150°, the polarization reflectance of fog and haze particles varies significantly with the scattering angle distribution. By taking advantage of the radiation characteristics of fog and haze particles, fog and haze have been distinguished based on the polarization and directionality of the earth’s reflectances(POLDER)data on March 11, 2008. The distinguished results were compared with moderate-resolution imaging spectroradiometer (MODIS) images and ground station observation data to verify the effectiveness of the algorithm. It is believed that the alogorithm has great reference value and scientific significance for China’s GFof directional polarimetric camera(DPC) remote sensing data.
    WUShichao, MA Jinji, ZHANG Qunying, YU Haixiao, AN Yuan. Research on Haze and Fog Distinguishing Algorithm Based on Particle Polarization Characteristics[J]. Journal of Atmospheric and Environmental Optics, 2019, 14(3): 221
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