Surface polarized reflectance analysis for aerosol remote sensing

Date

2019-10-09

Department

Program

Citation of Original Publication

Sergey Korkin, Alexei Lyapustin, "Surface polarized reflectance analysis for aerosol remote sensing," Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 111520I (9 October 2019); doi: 10.1117/12.2531426

Rights

This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
Public Domain Mark 1.0

Subjects

Abstract

We study the Earth surface polarized reflectance using data collected by a space-based lidar. Accurate modelling of the surface reflectance supports retrieval algorithm development for the current and future Earth Science missions. Strong polarization of the laser light from Cloud-Aerosol Transport System (CATS) instrument, operated in 2015-2017, and nighttime measurements yield higher signal-to-noise ratio for polarization compared to the previous analysis of reflected, initially unpolarized, solar light.