Share Email Print

Proceedings Paper

The development and assessment of a flexible inversion algorithm for aerosol property retrieval combining passive multiangle multispectral intensity and polarization measurements
Author(s): Alexandra Tsekeri; Barry Gross; Fred Moshary; Samir Ahmed
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Quantifying aerosols on a global scale is extremely important due to their strong but anomalous impact on the global climate. Traditionally, the aerosols retrievals use only the intensity measurements of the scattered light. However, these measurements are less sensitive to aerosol type and also suffer contamination from ground surfaces. It is with these limitations in mind that we plan to improve the quality and scope of aerosol retrieval by making use of soon to be available polarimetric sensors such as the Aerosol Polarimetry Sensor (APS) on the GLORY satellite and combine them with other available datasets such as lidar data from the CALIPSO satellite for vertical profiling, and high-spatialcoverage intensity measurements from MODIS. To handle these extremely large sensor data sets, we will explore the capabilities of various statistical methods and even combine them to create inversion algorithms that will work best. Up to now, we worked with the simplest case, the single-scattering approximation and built a retrieval algorithm using multi-angular, multi-wavelength simulated measurements of intensity and polarization. The inversion techniques we used are the optimal estimator and the neural networks.

Paper Details

Date Published: 11 August 2009
PDF: 12 pages
Proc. SPIE 7461, Polarization Science and Remote Sensing IV, 74610W (11 August 2009); doi: 10.1117/12.826215
Show Author Affiliations
Alexandra Tsekeri, The City College of New York (United States)
Barry Gross, The City College of New York (United States)
Fred Moshary, The City College of New York (United States)
Samir Ahmed, The City College of New York (United States)

Published in SPIE Proceedings Vol. 7461:
Polarization Science and Remote Sensing IV
Joseph A. Shaw; J. Scott Tyo, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?