Opto-Electronic Engineering, Volume. 51, Issue 3, 240003-1(2024)
Multiple environmental elements laser remote sensing method based on direct scattering spectrum
Fig. 2. Brioullin scattering spectrum in different scattering regions
Fig. 3. Typical Rayleigh-Brillouin scattering spectrum: (a) In the ocean; (b) In the atmosphere
Fig. 4. Schematic diagram of approximation Gaussian fitting for Rayleigh-Brillouin in the atmosphere
Fig. 6. Experimental diagram of scanning F-P interferometer for measuring Brillouin scattering in water
Fig. 7. Brillouin scattering spectrum plot obtained using scanning F-P interferometer in water
Fig. 8. Experimental diagram of atmospheric LiDAR system with scanning F-P interferometer
Fig. 9. Comparison of experimental and theoretical Brillouin scattering spectrum using scanning F-P interferometer in the atmosphere. (a) The final Rayleigh-Brillouin scattering profile;(b) Residuals between experimental measurements and Tenti S6 model
Fig. 10. Ubachs experimental results map[54]. (a) Correlation between volume viscosity
Fig. 11. Schematic diagram of spectrum detection using F-P etalon combined with ICCD
Fig. 12. Brillouin scattering spectra obtained in seawater using F-P etalon combined with ICCD[56]
Fig. 13. Experimental raw spectra and processed results. (a) Interference spectrogram collected by ICCD with actual temperature of 20 ℃ and actual salinity of 35‰; (b) Two-dimensional spectra and processing of scattering signals
Fig. 14. Error distribution graphs[57]. (a) Measurement errors of frequency shift and line width; (b) Inversion errors of temperature and salinity
Fig. 16. Principle and measurement results of multi-edge detection technique for wind measurement[69]. (a) Wind measurement principle based on F–P etalon quad-edge and dual-frequency technique; (b) Radial wind speed measurement error; (c) Backscatter ratio measurement error vs. backscatter ratio
Fig. 18. Temperature and salinity retrieval using double edge technique in DSSL[60]. (a) Variation of temperature retrieval error with integration iterations (Error is less than 0.1 °C at 5000 iterations); (b) Variation of salinity retrieval error with integration iterations (Error is less than 0.5% at 5000 iterations)
Fig. 19. Schematic diagram of spectrum detection using the Fizeau interferometer combined with PMT array
Fig. 21. Rayleigh Brillouin scattering spectroscopy and temperature measurement results at DLR[62]. (a) Measurement results of Raman Brillouin scattering spectroscopy at different altitudes; (b) Comparison of measured temperature (red line) with radiosonde measured temperature
Fig. 22. Temperature and pressure retrieval results based on DSSL[50]. (a) Comparison of retrieved temperature (red line) with radiosonde measured temperature; (b) Comparison of retrieved pressure (red line) with radiosonde measured pressure
Fig. 23. Results of wind velocity and aerosol detection potential[50]. (a) Retrieval results of wind speed variation within the altitude range of 4~9 km; (b) Retrieval results of aerosol extinction coefficient
Fig. 24. Schematic diagram of spectrum detection using VIPA. (a) Illustration of the VIPA spectral dispersing geometry; (b) A close-up illustration of the interference geometry of the VIPA
Fig. 25. Experimental setup diagram combining the VIPA interferometer with a CCD camera[65]. (a) The schematics of the optical setup for the Brillouin spectroscopy and microscopy; (b) The VIPA spectrometer in greater details
Fig. 26. Illustration of the Brillouin spectra acquired during a spontaneous cooling process of hot water[65]. (a) The acquired Brillouin spectra at different times; (b, c) The retrieved Brillouin shift and linewidth with and without consideration of the molecular iodine absorption; (d–f) Comparison between the Brillouin shift based on the Stokes and anti-Stokes peaks
Fig. 27. Rayleigh brillouin spectroscopy measurement results[66]. (a) Spectra measured from 50~400 kPa; (b) Spectral profile image on the CCD camera at gas pressure of 400 kPa
Fig. 28. Temperature results measured by rayleigh brillouin scattering spectrum[66]. (a) Retrieved temperature values (red triangle) and PT100 measured values (black star); (b) Error result
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Yuanxin Guo, Kun Liang, Yangrui Xu, Yanpeng Zhao, Yuanqing Wang, Bei Wang. Multiple environmental elements laser remote sensing method based on direct scattering spectrum[J]. Opto-Electronic Engineering, 2024, 51(3): 240003-1
Category: Article
Received: Jan. 3, 2024
Accepted: Mar. 6, 2024
Published Online: Jul. 8, 2024
The Author Email: Liang Kun (梁琨)