Share Email Print
cover

Proceedings Paper

MODIS aerosol retrieval over urban areas
Author(s): Barry Gross; Oluwatosin Ogunwuyi; Fred Moshary; Samir Ahmed; Brian Cairns
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Determination of aerosol optical depth from satellite remote sensing measurements is extremely complex due to the large variability of aerosol optical properties. Significant simplification occurs when measurements are taken over water since the ocean reflection signal can be taken as negligible in the NIR.. Unfortunately, over land, most of the signal can be attributed to ground reflectance. While conventional approaches look for "dark" pixels in an image to isolate aerosols, these pixels are subjected to increased noise. In this paper, we focus on the feasibility of the MODIS sensor to determine aerosol optical depth. In particular, an intercomparison between MODIS and CIMEL shows a significant trend for MODIS to overestimate optical depth. We show that this may be explained through an inaccurate assumption on the correlation between the VIS and NIR surface albedos. In particular, we show through an analysis of hyperspectral high resolution Hyperion data that the correlation coefficient assumption underestimates ground albedo resulting in an overestimate of the VIS optical depth. Preliminary radiative transfer calculations show that this mechanism can help explain the observed overestimation.

Paper Details

Date Published: 29 August 2005
PDF: 10 pages
Proc. SPIE 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring, 589016 (29 August 2005); doi: 10.1117/12.616939
Show Author Affiliations
Barry Gross, City College of New York (United States)
Oluwatosin Ogunwuyi, City College of New York (United States)
Fred Moshary, City College of New York (United States)
Samir Ahmed, City College of New York (United States)
Brian Cairns, Columbia Univ. (United States)


Published in SPIE Proceedings Vol. 5890:
Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring
Hung-Lung Allen Huang; Hal J. Bloom; Xiaofeng Xu; Gerald J. Dittberner, Editor(s)

© SPIE. Terms of Use
Back to Top