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Proceedings Paper

Two-component wind fields from single scanning aerosol lidar
Author(s): Shane D. Mayor; Pierre Derian; Christopher F. Mauzey; Masaki Hamada
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Paper Abstract

An overview of recent research results on the performance of two motion estimation algorithms used to deduce two-component horizontal wind fields from ground-based scanning elastic backscatter lidar is presented. One motion estimation algorithm is a traditional cross-correlation method optimized for atmospheric lidar data. The second algorithm is a recently-developed wavelet-based optical flow. An intercomparison of experimental results with measurements from an independent Doppler lidar over an agricultural area in Chico, California, during daytime convective conditions in 2013-14 are presented. Finally, early results from application of the algorithms to data collected over the ocean from a compact and portable aerosol lidar that was deployed on the northern California coast in March of 2015 are presented.

Paper Details

Date Published: 1 September 2015
PDF: 8 pages
Proc. SPIE 9612, Lidar Remote Sensing for Environmental Monitoring XV, 96120D (1 September 2015); doi: 10.1117/12.2187502
Show Author Affiliations
Shane D. Mayor, California State Univ., Chico (United States)
Pierre Derian, California State Univ., Chico (United States)
Christopher F. Mauzey, California State Univ., Chico (United States)
Masaki Hamada, California State Univ., Chico (United States)

Published in SPIE Proceedings Vol. 9612:
Lidar Remote Sensing for Environmental Monitoring XV
Upendra N. Singh, Editor(s)

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