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Spotlight on Optics

Spotlight on Optics


  • December 2013

Optics InfoBase > Spotlight on Optics > Multi sky-view 3D aerosol distribution recovery

Multi sky-view 3D aerosol distribution recovery

Published in Optics Express, Vol. 21 Issue 22, pp.25820-25833 (2013)
by Amit Aides, Yoav Y. Schechner, Vadim Holodovsky, Michael J. Garay, and Anthony B. Davis

Source article Abstract | Full Text: XHTML | Full Text: PDF

Spotlight summary: In their article entitled "Multi sky-view 3D aerosol distribution recovery", Aides et al propose a novel approach for the important problem of three-dimensional atmospheric aerosol recovery or retrieval. The method proposed by the authors is simple and effective in comparison to other techniques such as lidar networks. Of course, the proposed technique requires sunlight, posing a fundamental problem for nighttime measurements, in which case a lidar can be used to retrieve the aerosol scattering and extinction information.

The article provides both theoretical and experimental results of 3D radiative transfer, perhaps unique to this method. The network of ground-based cameras can measure the aerosol’s optical properties in wavelengths ranging from UV to the near infrared, in contrast with lidar, which can only measure on one or a few wavelengths. This is an important advantage of the proposed method.

I would like to point out that the novel approach proposed here is very interesting and potentially quite important for the ocean color remote sensing and atmosphere lidar communities. Scanning aerosol lidar can measure the atmosphere’s back-scattering and extinction coefficients along different directions and detection distances. A comparison of lidar measurement data with the results of the camera measurement techniques proposed in this paper could provide further validation to the effectiveness of the new approach. Perhaps the authors of this paper should collaborate with scientists working in ocean color remote sensing or on lidar networks in order to explore the potential of their technique in these areas.

--Zhishen Liu

Technical Division: Information Acquisition, Processing, and Display
ToC Category: Remote Sensing
OCIS Codes: (100.3190) Image processing : Inverse problems
(280.1100) Remote sensing and sensors : Aerosol detection
(280.1310) Remote sensing and sensors : Atmospheric scattering
(280.4991) Remote sensing and sensors : Passive remote sensing
(100.3200) Image processing : Inverse scattering

Posted on December 03, 2013

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