5 January 2017 Optimal contrast elastic lidar sensing of clear and aerosol-loaded atmosphere
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Proceedings Volume 10226, 19th International Conference and School on Quantum Electronics: Laser Physics and Applications; 102260Z (2017) https://doi.org/10.1117/12.2261413
Event: International Conference and School on Quantum Electronics "Laser Physics and Applications" - ICSQE 2016, 2016, Sozopol, Bulgaria
Abstract
The sensing laser radiation wavelength is one of the most significant factors conditioning the elastic lidar efficiency. Nevertheless, its role in the process of lidar sensing has not been investigated systematically so far. Therefore, the main purpose of the present work is to develop and perform an initial examination of an approach to solve this problem based on modeling the profile of the lidar return signal (the lidar profile) and evaluating, in a specific way, the corresponding profile of the measurement signal-to-noise ratio (SNR). The measurement fluctuations are considered as mainly due to the Poisson shot noise that is intrinsic to the dark current and the photocurrent induced by the useful signal itself and the atmospheric background. The initial results obtained show for instance that for ground-based lidar facilities the maximum Rayleigh return signal is obtainable at wavelengths about 350nm. The roles are changed when sensing clouds using wavelength from 400nm to 1000-2000nm. Then, the longer wavelengths provide higher return power from clouds, and the effect is magnified in aerosol-loaded (and especially hazy) atmosphere. The results of such investigations are useful when selecting optimal lidar-design characteristics ensuring maximum brightness and contrast of the lidar-acquired images of specific aerosol strata and objects in the atmosphere.
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Tsvetina T. Evgenieva, Tsvetina T. Evgenieva, Ljuan L. Gurdev, Ljuan L. Gurdev, } "Optimal contrast elastic lidar sensing of clear and aerosol-loaded atmosphere", Proc. SPIE 10226, 19th International Conference and School on Quantum Electronics: Laser Physics and Applications, 102260Z (5 January 2017); doi: 10.1117/12.2261413; https://doi.org/10.1117/12.2261413
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