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Proceedings Paper

Improved methodology for the retrieval of the particulate extinction coefficient and the lidar ratio from the lidar multiangle measurement
Author(s): Vladimir Kovalev; Cyle Wold; Wei Min Hao; Bryce Nordgren
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Paper Abstract

An improved methodology for processing scanning lidar data is considered. We demonstrate a new principle of determining vertical profiles of the particulate extinction coefficient and the lidar ratio with the Kano-Hamilton multiangle solution. This technique, which is also applicable to combined elastic/inelastic lidar measurements, computes the extinction coefficient from the backscatter term rather than from optical depth, thus avoiding numerical differentiation. The inversion is based on determining the stepwise column-integrated lidar ratios that provide the best matching of the initial profile of the optical depth to that obtained after the inversion. We explore two approaches concerning the division of the column-integrated lidar ratio into different ranges: in the first case, divisions between ranges are uniformly distributed; in the second case, divisions are located using estimated uncertainty boundaries in the inverted optical depth. The inversion method was used to process the experimental data obtained in the vicinity of large wildfires with the Fire Sciences Laboratory lidar. Examples of the simulated and experimental data are presented, which illustrate the specifics and prospects of this data-processing methodology.

Paper Details

Date Published: 17 October 2007
PDF: 9 pages
Proc. SPIE 6750, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing III, 67501B (17 October 2007); doi: 10.1117/12.737858
Show Author Affiliations
Vladimir Kovalev, USDA Forest Service (United States)
Cyle Wold, USDA Forest Service (United States)
Wei Min Hao, USDA Forest Service (United States)
Bryce Nordgren, USDA Forest Service (United States)


Published in SPIE Proceedings Vol. 6750:
Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing III
Upendra N. Singh; Gelsomina Pappalardo, Editor(s)

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