Characterization of the scattering properties of tropospheric aerosols as a function of altitude using multiangle remote sensing data

Robert P. Gauthier

doi:10.1117/12.198595

4 January 1995 Characterization of the scattering properties of tropospheric aerosols as a function of altitude using multiangle remote sensing data

Robert P. Gauthier

Author Affiliations +

Proceedings Volume 2311, Atmospheric Sensing and Modelling; (1995) https://doi.org/10.1117/12.198595
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

The accuracy of atmospheric corrections for VIS-NIR remote sensing data depends on how closely the actual state of the atmosphere matches the assumptions made about aerosol scattering in whatever radiative transfer model is being used to compute the atmospheric transmittance. An experiment was performed to measure the scattering properties of actual atmospheres so that an assessment could be made on the impact of using pre-calculated phase functions for the aerosol scattering in radiative transfer models rather than empirically obtained ones. High resolution spectra data (10 nm) were obtained with an airborne platform of the atmospheric radiance over a large low reflectance target (a lake) as a function of view angle, view azimuth and altitude on several different days (and atmospheric states). The observations were made over a viewing range of -60 to +60 degrees at nine angles in several azimuth planes. This resulted in a wide range of scatter angles over which the atmospheric volume scattering could be examined. The atmospheric states ranged from very clear to very hazy all within a period of a month. A comparison of the angular dependence of the volume scattering with standard phase functions used in radiative transfer models is made. The angular behavior of the volume scattering is found to be sensitive to altitude as well as the aerosol optical depth.

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Robert P. Gauthier "Characterization of the scattering properties of tropospheric aerosols as a function of altitude using multiangle remote sensing data", Proc. SPIE 2311, Atmospheric Sensing and Modelling, (4 January 1995); https://doi.org/10.1117/12.198595

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