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Error reduction methods for integrated-path differential-absorption lidar measurements |
Optics Express, Vol. 20, Issue 14, pp. 15589-15609 (2012)
http://dx.doi.org/10.1364/OE.20.015589
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Abstract
We report new modeling and error reduction methods for differential-absorption optical-depth (DAOD) measurements of atmospheric constituents using direct-detection integrated-path differential-absorption lidars. Errors from laser frequency noise are quantified in terms of the line center fluctuation and spectral line shape of the laser pulses, revealing relationships verified experimentally. A significant DAOD bias is removed by introducing a correction factor. Errors from surface height and reflectance variations can be reduced to tolerable levels by incorporating altimetry knowledge and “log after averaging”, or by pointing the laser and receiver to a fixed surface spot during each wavelength cycle to shorten the time of “averaging before log”.
© 2012 OSA
OCIS Codes
(030.6600) Coherence and statistical optics : Statistical optics
(120.0280) Instrumentation, measurement, and metrology : Remote sensing and sensors
(280.1910) Remote sensing and sensors : DIAL, differential absorption lidar
ToC Category:
Remote Sensing
History
Original Manuscript: March 14, 2012
Revised Manuscript: May 25, 2012
Manuscript Accepted: June 12, 2012
Published: June 26, 2012
Citation
Jeffrey R. Chen, Kenji Numata, and Stewart T. Wu, "Error reduction methods for integrated-path differential-absorption lidar measurements," Opt. Express 20, 15589-15609 (2012)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-20-14-15589
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