Profiling lidars. Marine lidar survey results and future directions for scientific and applied implementation
https://doi.org/10.59887/2073-6673.2025.19(1)-9
EDN: vabzxs
Abstract
This paper reviews the principal results of recent studies conducted in Russian marine waters utilizing marine profiling lidars developed at the P.P. Shirshov Institute of Oceanology, Russian Academy of Sciences (IO RAS) and its Saint Petersburg branch. Field experiments with IO RAS shipborne and airborne lidars were carried out in the coastal zones of the Barents, Kara, Okhotsk, and Black Seas, as well as in Avacha Bay in the Pacific Ocean, and focused on addressing contemporary problems of lidar remote sensing.
The use of marine lidars for the assessment of hydrooptical characteristics of the near-surface layer, the detection and parameterization of internal waves, and the investigation of the effect of survey-track length on bathymetric lidar mapping in remote high-relief coastal areas are examined. A distinctive feature of the IO RAS systems (shipborne PLD‑1 and airborne APL‑3) — is their two-channel receiving subsystem, which enables separate recording of the polarized components of lidar signals. The implementation of the developed digital signal-processing modules has permitted automation of the lidar-surveying workflow.
The scientific relevance and practical importance of these issues underline the need to advance domestic remote-sensing technologies, in particular for lidar surveys conducted from autonomous, unmanned underwater, surface, and aerial vehicles.
Keywords
About the Authors
V. A. GlukhovRussian Federation
Vladimir A. GLUKHOV, Cand.Sc. (Phys.-Math.), Researcher, Head of the Laboratory
36 Nakhimovsky Prosp., Moscow, 117997
A. A. Rodionov
Russian Federation
Anatoly A. RODIONOV, Corresponding Member of RAS, Professor, Head of the scientific direction ‘Fundamental and Applied Hydrophysics’
36 Nakhimovsky Prosp., Moscow, 117997
O. V. Glitko
Russian Federation
Oleg V. GLITKO
36 Nakhimovsky Prosp., Moscow, 117997
References
1. Collister BL, Zimmerman RC, Hill VJ, et al. Polarized lidar and ocean particles: insights from a mesoscale coccolithophore bloom. Applied Optics. 2020;59(15):4650–4662. https://doi.org/10.1364/AO.389845
2. Kokhanenko GP, Balin YS, Penner IE, Shamanaev VS. Lidar and in situ measurements of the optical parameters of water surface layers in Lake Baikal. Atmospheric and Oceanic Optics. 2011;24(5):478–486. https://doi.org/10.1134/S1024856011050083
3. Glukhov V.A, Goldin YuA, Glitko OV, et al. Investigation of the Relationships between the Parameters of Lidar Echo Signals and Hydrooptical Characteristics in the Western Kara Sea. Oceanology. 2023;63(Suppl 1): S119–S130. https://doi.org/10.1134/S0001437023070044
4. Peituo Xu, Dong Liu, Yibing Shen, et al. Design and validation of a shipborne multiple-field-of-view lidar for upper ocean remote sensing. Journal of Quantitative Spectroscopy and Radiative Transfer. 2020;254/:107201. https://doi.org/10.1016/j.jqsrt.2020.107201
5. Hoge F, Wright C, Krabill W, et al. Airborne lidar detection of subsurface oceanic scattering layers. Applied Optics. 1988;27:3969–3977. https://doi.org/10.1364/AO.27.003969
6. Churnside JH, Donaghay PL. Thin scattering layers observed by airborne lidar. ICES Journal of Marine Science. 2009;66(4):778–789. https://doi.org/10.1093/icesjms/fsp029
7. Vasilkov AP, Goldin YuA, Gureev BA, et al. Airborne polarized lidar detection of scattering layers in the ocean. Applied Optics. 2001;40(24):4353–4364. https://doi.org/10.1364/AO.40.004353
8. Chen P, Jamet C, Zhang Z, He Y, et al. Vertical distribution of subsurface phytoplankton layer in South China Sea using airborne lidar. Remote Sensing of Environment. 2021;263: 112567. https://doi.org/10.1016/j.rse.2021.112567
9. Churnside JH, Wilson JJ, Tatarskii VV. Airborne lidar for fisheries applications. Optical Engineering. 2001;40:406–414. https://doi.org/10.1117/1.1348000
10. Chernook VI, Goldin YuA, Vasilyev AN, et al. Oceanological monitoring of fishing areas using lidars. Proceedings 2014 International Conference Laser Optics. IEEE Xplore. 2014;137–141. https://doi.org/10.1109/LO.2014.6886388
11. Vannoy TC, Belford J, Aist JN, Rust KR, et al. Machine learning-based region of interest detection in airborne lidar fisheries surveys. Journal of Applied Remote Sensing. 2021;15(3):038503. https://doi.org/10.1117/1.JRS.15.038503
12. Bukin OA, Major AY, Pavlov AN, et al. Measurement of the lightscattering layers structure and detection of the dynamic processes in the upper ocean layer by shipborne lidar. International Journal of Remote Sensing. 1998;19(4):707–715. https://doi.org/10.1080/014311698215946
13. Churnside JH, Marchbanks RD, Le JH, et al. Airborne lidar detection and characterization of internal waves in a shallow fjord. Journal of Applied Remote Sensing. 2012;6(1): 063611–063611. https://doi.org/10.1117/1.JRS.6.063611
14. Glukhov VA, Goldin YuA, Rodionov MA. Method of Internal Waves Registration by Lidar Sounding in Case of Waters with Two-Layer Sratification of Hydrooptical Characteristics. Fundamental and Applied Hydrophysics. 2021;14(3):86– 97. (In Russ.). https://doi.org/10.7868/S2073667321030084
15. Philpot W. Airborne Laser Hydrography II. 2019. https://doi.org/10.7298/JXM9-G971
16. Szafarczyk A, Toś C. The use of green laser in LiDAR bathymetry: State of the art and recent advancements. Sensors. 2022;23(1):292. https://doi.org/10.3390/s23010292
17. Mandlburger G. A review of active and passive optical methods in hydrography. The International Hydrographic Review. 2022;28:8–52. https://doi.org/10.58440/ihr‑28-a15
18. Churnside JH. Review of profiling oceanographic lidar. Optical Engineering. 2014;53(5): 051405–051405. https://doi.org/10.1117/1.OE.53.5.051405
19. Reineman BD, et al. A portable airborne scanning lidar system for ocean and coastal applications. Journal of Atmospheric and oceanic technology. 2009;26(12):2626–2641. https://doi.org/10.1175/2009JTECHO703.1
20. Zhou Y, Chen Y, Zhao H, et al. Shipborne oceanic high-spectral-resolution lidar for accurate estimation of seawater depth-resolved optical properties. Light: Science & Applications. 2022;11(261). https://doi.org/10.1038/s41377-022-00951-0
21. Churnside JH. Review of profiling oceanographic lidar. Optical Engineering. 2014;53(5): 051405–051405. https://doi.org/10.1117/1.OE.53.5.051405
22. Chen W, Chen P, Zhang H, et al. Review of airborne oceanic lidar remote sensing. Intelligent Marine Technology Systems. 2023;1(10). https://doi.org/10.1007/s44295-023-00007-y
23. Glukhov VA, Goldin Yu A. Marine profiling lidars and their application for oceanological problems. Fundamental and Applied Hydrophysics. 2024;17(1):104–128. https://doi.org/10.59887/2073-6673.2024.17(1)-9
24. Glukhov VA, Goldin YuA, Rodionov MA. Experimental estimation of the capabilities of the lidar PLD-1 for the registration of various hydro-optical irregularities of the sea water column. Fundamental and Applied Hydrophysics. 2017;10(2):41–48. (In Russ.) https://doi.org/10.7868/S207366731702006X
25. Glukhov VA, Goldin YuA, Rodionov MA, Gureev BA, Glitko OV. Airborne lidar bathymetry of coastal areas at hight flight altitude. Fundamental and Applied Hydrophysics. 2019;12(4):85–93. (In Russ.). https://doi.org/10.7868/S2073667319040105
26. Glukhov VA, Goldin YuA, Glitko OV, Aglova EA, Glukhovets DI, Rodionov MA. Lidar Research during the First Stage of the 89th Cruise of the R/V “Academic Mstislav Keldysh”. Fundamental and Applied Hydrophysics. 2023;16(4):107– 115. https://doi.org/10.59887/2073-6673.2023.16(4)-9
27. Panicheva ED, Glukhov VA, Goldin YuA, Glitko OV. Utilization of airborne polarized lidar for detection of light-scattering layers in the coastal areas of the sea of Okhotsk. Proceedings of the XIII All-Russian Conference with international participation «Current problems in optics of natural waters»: St. Peterburg, October 8–10, 2025. St. Petersburg State University of Economics Publishing house. 163–171. (In Russ.).
28. Glukhov VA, Svergun EI, Goldin YuA, Glitko OV. Registration of internal waves in Bechovinskaya bay using airborne lidar and photography. Proceedings of the XIII All-Russian Conference with international participation «Current problems in optics of natural waters»: St. Peterburg, October 8–10, 2025. St. Petersburg State University of Economics Publishing house. 120–124. (In Russ.).
29. Quadros NND. Unlocking the characteristics of bathymetric LiDAR sensors. LiDAR Magazine. 2013;3(6):62–67.
30. Krekov GM, Krekova MM, Shamanaev VS. Laser sensing of a subsurface oceanic layer. II. Polarization characteristics of signals. Applied Optics. 1998;37:1596–1601. https://doi.org/10.1364/AO.37.001596
31. Churnside JH. Polarization effects on oceanographic lidar. Optic Express. 2008;16:1196–1207. https://doi.org/10.1364/OE.16.001196
32. Glukhov VA, Goldin YuA, Glitko OV, Glukhovets DI, Rodionov MA. A comparison of the Information Content of Orthogonally Polarized Components of Lidar Echo Signal for Evaluating Hydrooptical Characteristics of the Near-Surface Layer. Fundamental and Applied Hydrophysics. 2024;17(3):32–43. https://doi.org/10.59887/2073-6673.2024.17(3)-3
33. Gordon HR. Interpretation of airborne oceanic lidar: effects of multiple scattering. Applied Optics. 1982;21(16):2996–3001.
34. Dolin LS, Savelev VA. Characteristics of the backscattering signal during pulsed irradiation of a turbid medium by a narrow directed light beam. Izvestiya AS USSR, Atmospheric and ocean physics. 1971;7:505–510. (In Russ.).
35. Ernst A. Multiple-scattering theory. New developments and applications. Halle-Wittenberg University. 2007. P. 65.
36. Goldin YuA, Glukhovets DI, Gureev BA, et al. Shipboard flow-through complex for measuring biooptical and hydrological seawater characteristics. Oceanology. 2020;60(5):713–720. https://doi.org/10.1134/S0001437020040104
37. Glukhovets DI, Goldin YA. Surface desalinated layer distribution in the Kara Sea determined by shipboard and satellite data. Oceanologia. 2020;62(3):364–373. https://doi.org/10.1016/j.oceano.2020.04.002
38. Glukhov VA, Goldin YuA, Glitko OV, Aglova EA, Rodionov MA. The use of polarization lidar for the registration of horizontal spatial distributions of seawater beam attenuation coefficient. Atmospheric and Oceanic Optics. 2024;3(S1): S162–S168 https://doi.org/10.1134/S1024856024701446
39. Levin IM, Rodionov MA, Frantsuzov ON. Submersible device for measuring the light-attenuation index of sea water. Journal of Optical Technology. 2011;78(5):328–331. (In Russ.). https://doi.org/10.1364/JOT.78.000328
40. Levin IM, Dolin LS, Frantzuzov ON, Rodionov MA, Osadchy VYu, Savtchenko VV. Measurement of Depth Profiles of Optical and Hydrophysical Parametres in the Barents Sea: Application to Lidar Sensing Problem. Fundamental and Applied Hydrophysics. 2009;4:16–24. (In Russ.).
41. Rodionov M, Dolina I, Levin I. Correlations Between Depth Distributions of Water Attenuation Coefficient and Density in the North Seas. Fundamental and Applied Hydrophysics. 2012;5(4):39–46. (In Russ.).
42. Dolin LS, Dolina IS, Savel’ev VA. A lidar method for determining internal wave characteristics. Izvestiya, Atmospheric and Oceanic Physics. 2012;48(4):444–453. (In Russ.). https://doi.org/10.1134/S0001433812040036
43. Dolin LS, Dolina IS. Model of lidar images of nonlinear internal waves. Izvestiya, Atmospheric and Oceanic Physics. 2014;50(2):196–203. https://doi.org/10.1134/S0001433814020022
44. Rodionov MA. Simulation of Lidar Images of Internal Waves Based on the Data of Measured Hydrooptical and Hydrophysical Parameters in the Northern Seas. Fundamental and Applied Hydrophysics. 2011;4(4):80–87. (In Russ.).
45. Glukhov VA, Goldin YuA, Zhegulin GV, Rodionov MA. Complex processing of lidar survey data of marine areas. Fundamental and Applied Hydrophysics. 2022;15(3):27–42. https://doi.org/10.59887/fpg/26nu-3hte-3n48
46. Feygels VI, Park JY, Wozencraft J, et al. CZMIL (coastal zone mapping and imaging lidar): from first flights to first mission through system validation. Proc. SPIE8724, Ocean Sensing and Monitoring. 2012;87240A. https://doi.org/10.1117/12.2017935
47. Mandlburger G, Hauer C, Wieser M, Pfeifer N. Topo-bathymetric LiDAR for monitoring river morphodynamics and instream habitats — A case study at the Pielach River. Remote Sensing. 2015;7:6160–6195. https://doi.org/10.3390/rs70506160
48. Kim M, Kopilevich Y, Feygels V, et al. Modeling of airborne bathymetric lidar waveforms. Advances in Topobathymetric Mapping, Models, and Applications. Journal of Coastal Research, Special Issue. 2016;76:18–30. https://doi.org/10.2112/SI76-003
49. Kim M. Airborne Waveform Lidar Simulator Using the Radiative Transfer of a Laser Pulse. Applied Sciences. 2019;9(12):2452. https://doi.org/10.3390/app9122452
50. Glukhov VA, Goldin YuA, Glitko OV. Investigation of the Dependence of Lidar Echo Signal Characteristics on the Length of the Sounding Path. Fundamental and Applied Hydrophysics. 2025;18(2):151–161. https://doi.org/10.59887/2073-6673.2025.18(2)-11
51. Dolin LS. Theoretical model of a lidar signal scattered by a water column with depth-dependent optical properties Proceedings of the XIII All-Russian Conference with international participation «Current problems in optics of natural waters»: St. Peterburg, October 8–10, 2025. St. Petersburg State University of Economics Publishing house. 26–31. (In Russ.).
Review
For citations:
Glukhov V.A., Rodionov A.A., Glitko O.V. Profiling lidars. Marine lidar survey results and future directions for scientific and applied implementation. Fundamental and Applied Hydrophysics. 2026;19(1):115-137. https://doi.org/10.59887/2073-6673.2025.19(1)-9. EDN: vabzxs
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