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Proceedings Paper

Aerosol retrieval over urban areas using spatial regression between V/NIR and MIR Hyperion channels
Author(s): Barry Gross; Oluwatosin Ogunwuyi; Fred Moshary; Samir Ahmed; Brian Cairns
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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 explore the feasibility of a regression approach utilizing correlations between the VNIR and MIR channels to extract the aerosol reflection signal over urban areas. This approach is applied to hyperspectral high resolution Hyperion data where the aerosol reflectance signal is shown to agree very well with coincident Aeronet derived reflectance spectra. Comparisons between the regression technique and dark pixel thresholding clearly exhibit the improvement using regression methods. Finally, practical spatial resolution concerns are explored and specifications of the GOES-R imager are assessed.

Paper Details

Date Published: 15 September 2004
PDF: 11 pages
Proc. SPIE 5547, Remote Sensing in Atmospheric Pollution Monitoring and Control, (15 September 2004); doi: 10.1117/12.560097
Show Author Affiliations
Barry Gross, CUNY/City College (United States)
Oluwatosin Ogunwuyi, CUNY/City College (United States)
Fred Moshary, CUNY/City College (United States)
Samir Ahmed, CUNY/City College (United States)
Brian Cairns, Columbia Univ. (United States)

Published in SPIE Proceedings Vol. 5547:
Remote Sensing in Atmospheric Pollution Monitoring and Control
Allen Chu; James Szykman, Editor(s)

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