Rayleigh-fit approach applied to improve the removal of background noise from lidar data

Ivan Grigorov; Georgi Kolarov

doi:10.1117/12.2012998

15 March 2013 Rayleigh-fit approach applied to improve the removal of background noise from lidar data

Ivan Grigorov, Georgi Kolarov

Proceedings Volume 8770, 17th International School on Quantum Electronics: Laser Physics and Applications; 877010 (2013) https://doi.org/10.1117/12.2012998
Event: Seventeenth International School on Quantum Electronics: Laser Physics and Applications, 2012, Nessebar, Bulgaria

Abstract

A procedure to approach synthesized profile of lidar returns from hypothetical Rayleigh atmosphere to real lidar data is described in this work. The procedure is used in preprocessing of lidar data to determine the magnitude of background noise which should be removed before starting inversion processing (by Klett, or Fernald algorithm) to retrieve atmospheric backscatter or extinction profiles. Some applications of Rayleigh-fit procedure on real lidar data are discussed. After removing background noise from the lidar data, atmospheric backscatter profiles at two nearby laser wavelengths 510.6 nm and 578.2 nm (CuBr-vapor laser) are calculated. The ratio of these two backscatter profiles is used as justification of the results of Rayleigh-fit procedure for background noise removal.

Citation Download Citation

Ivan Grigorov and Georgi Kolarov "Rayleigh-fit approach applied to improve the removal of background noise from lidar data", Proc. SPIE 8770, 17th International School on Quantum Electronics: Laser Physics and Applications, 877010 (15 March 2013); https://doi.org/10.1117/12.2012998

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