Acta Optica Sinica, Volume. 42, Issue 17, 1701001(2022)
Spaceborne Environmental Detection Lidar and Its Key Techniques
Fig. 1. Spaceborne environmental lidar. (a) Diagram of basic detection principle[50]; (b) schematic of emulator
Fig. 2. Signal simulation and retrieval of ACDL HSRL. (a) Attenuated backscatter coefficient of parallel channel B∥; (b) attenuated backscatter coefficient of perpendicular channel B⊥; (c) attenuated backscatter coefficient of molecular channel Bm; (d) layer information; (e) backscatter coefficient βa; (f) extinction coefficient αa
Fig. 3. Theoretical measurement error for ACDL HSRL at 1 km. (a) Relative error of backscatter coefficient;(b) absolute error of extinction coefficient
Fig. 4. Two-way optical depths for two wavelengths simulated by spaceborne IPDA lidar forward model
Fig. 5. Global distribution of XCO2 pseudo data simulated by spaceborne IPDA lidar inversion model
Fig. 6. Wind lidar simulation results. (a) Molecular signal distribution; (b) aerosol signal distribution; (c) signal-to-noise ratio distribution; (d) detection error ξ distribution
Fig. 7. Simulation analysis of spaceborne wind lidar. (a) Scattering signal distribution; (b) signal-to-noise ratio distribution; (c) detection error distribution
Fig. 8. Spaceborne lidar return signal simulation [50]. (a) Input attenuation coefficients; (b) simulated lidar signals
Fig. 9. Polarized lidar signal simulation[50]. (a) Input optical properties of water; (b) comparison of measured and simulated signals (data above 0 m is the atmospheric signal because the shipborne lidar has a certain distance from the water surface)
Fig. 10. Simulation analysis of spaceborne lidar in case I water [86]. (a) Lidar return signals varying with depth; (b) effective attenuation coefficients varying with depth
Fig. 11. Influence of multiple scattering of cloud on oceanic lidar detection[85]. (a) Water cloud echo signal with different scattering times (n is the scattering times); (b) relationship among effective attenuation coefficient error, cloud base height, and optical depth
Fig. 12. Atmospheric HSRL system. (a) Internal structure diagram; (b) optical path[132]
Fig. 13. Track distribution of field calibration test of CALIPSO and airborne laser radar from 2006 to 2011 carried out by NASA[93]
Fig. 15. Vertical distributions of phytoplankton of the Yellow Sea and Bohai Sea at different depths. (a) Kd; (b) bbp
Fig. 17. Demonstration of aerosol and cloud distribution obtained by active and passive fusion[197]. (a) CALIPSO profile and MODIS radiation data; (b) 3D extended results
Fig. 18. Retrieval results of shallow water depth (within 40 m) in Bahamas from ICESat-2 photon data and Sentinel-2 ocean color. Water depth inversion using the same remote sensing data source was published in[163]
Fig. 21. Schematic diagram of quantum wind lidar developed by University of Science and Technology of China[229] (TA:tunable attenuator; WDM: wavelength division multiplexer; L: collimation mirror; TDFA: thulium-doped fiber amplifier; TEC: thermo electric cooler; MCS: multi-channel sample module)
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Dong Liu, Sijie Chen, Qun Liu, Ju Ke, Nanchao Wang, Yingshan Sun, Shuaibo Wang, Yatong Chen, Weize Li, Yuting Tao, Chong Liu, Lan Wu, Yudi Zhou. Spaceborne Environmental Detection Lidar and Its Key Techniques[J]. Acta Optica Sinica, 2022, 42(17): 1701001
Category: Atmospheric Optics and Oceanic Optics
Received: Jul. 7, 2022
Accepted: Aug. 1, 2022
Published Online: Sep. 16, 2022
The Author Email: Liu Dong (liudongopt@zju.edu.cn)