Paper
18 November 2024 Visibility inversion based on laser Lidar
Dandan Jiang, Xin Zhu, Yifan Chen, Fei Zhu, Lan Wang
Author Affiliations +
Proceedings Volume 13417, International Conference on Precision Instruments and Optical Engineering (PIOE 2024); 134170G (2024) https://doi.org/10.1117/12.3052616
Event: 4th International Conference on Precision Instruments and Optical Engineering (PIOE 2024), 2024, Kuala Lumpur, Malaysia
Abstract
With the increasing demand for visibility observations in fields such as wind power generation, meteorological observation, and civil aviation safety, the development of laser lidar for visibility monitoring based on the principle of backscattering has been realized. This paper uses the raw signal data obtained from the laser lidar as the basic data source, and, based on signal preprocessing, constructs a visibility retrieval model to achieve accurate extraction of visibility information. The laser lidar integrated with this visibility extraction method was tested in typical regions. The test results indicate that the visibility extraction method based on laser lidar achieved good results, showing a distribution consistent with the visibility measurement results of traditional visibility instruments, presenting a linear correlation with a correlation coefficient above 0.96, thereby enhancing the reliability of visibility products retrieved using laser lidar.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Dandan Jiang, Xin Zhu, Yifan Chen, Fei Zhu, and Lan Wang "Visibility inversion based on laser Lidar", Proc. SPIE 13417, International Conference on Precision Instruments and Optical Engineering (PIOE 2024), 134170G (18 November 2024); https://doi.org/10.1117/12.3052616
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KEYWORDS
Visibility

LIDAR

Visibility through fog

Atmospheric particles

Mass attenuation coefficient

Signal attenuation

Aerosols

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