Statistical Estimates of Lidar Signals Reflected from the Ocean Bottom
- Authors: Shamanaev V.S.1, Potekaev A.I.2,3, Lisenko A.A.1, Krekov M.G.2
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Affiliations:
- V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences
- National Research Tomsk State University
- V. D. Kuznetsov Siberian Physical-Technical Institute at Tomsk State University
- Issue: Vol 59, No 12 (2017)
- Pages: 2034-2040
- Section: Article
- URL: https://bakhtiniada.ru/1064-8887/article/view/237676
- DOI: https://doi.org/10.1007/s11182-017-1011-0
- ID: 237676
Cite item
Abstract
The Monte Carlo method is used to solve the nonstationary equation of laser sensing of an optically dense, complex, multicomponent aqueous medium with allowance for the water–air interface, the contribution of multiple scattering of radiation by the water column, and reflection of the signal from the bottom. As a result, we have obtained dependences of the return signal of a monostatic lidar from the water column and the surface microwaves for various field-of-view angles of the receiver. The results of our calculations show that a lidar detection depth of the bottom up to 50 m is achievable for water optical thicknesses up to 3.5–4. When sensing the bottom up to the limiting depth of 50 m under conditions of very transparent water and Fresnel reflection from its surface, the dynamic range of the signal from the water column reaches 7–9 orders of magnitude.
Keywords
About the authors
V. S. Shamanaev
V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences
Author for correspondence.
Email: shvs@iao.ru
Russian Federation, Tomsk
A. I. Potekaev
National Research Tomsk State University; V. D. Kuznetsov Siberian Physical-Technical Institute at Tomsk State University
Email: shvs@iao.ru
Russian Federation, Tomsk; Tomsk
A. A. Lisenko
V. E. Zuev Institute of Atmospheric Optics of the Siberian Branch of the Russian Academy of Sciences
Email: shvs@iao.ru
Russian Federation, Tomsk
M. G. Krekov
National Research Tomsk State University
Email: shvs@iao.ru
Russian Federation, Tomsk
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