MODIS aerosol retrieval over urban areas

Barry Gross; Oluwatosin Ogunwuyi; Fred Moshary; Samir Ahmed; Brian Cairns

doi:10.1117/12.616939

29 August 2005 MODIS aerosol retrieval over urban areas

Barry Gross, Oluwatosin Ogunwuyi, Fred Moshary, Samir Ahmed, Brian Cairns

Proceedings Volume 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring; 589016 (2005) https://doi.org/10.1117/12.616939
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

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.

Citation Download Citation

Barry Gross, Oluwatosin Ogunwuyi, Fred Moshary, Samir Ahmed, and Brian Cairns "MODIS aerosol retrieval over urban areas", Proc. SPIE 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring, 589016 (29 August 2005); https://doi.org/10.1117/12.616939

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