Paper
13 December 2024 Aerosol detection experiment of Lidar system based on Scheimpflug imaging principle
Author Affiliations +
Proceedings Volume 13504, AOPC 2024: Atmospheric and Environmental Optics; 1350404 (2024) https://doi.org/10.1117/12.3045533
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China
Abstract
Atmospheric lidar is one of the important tools for environmental monitoring. However, the conventional backscattering lidar has a blind detection zone, which limits the effective monitoring of aerosol concentrations near the ground. A lidar system based on the Scheimpflug imaging condition captures the echo signals and obtains the spatial and temporal evolution of aerosols in the underlying atmosphere by optical imaging principles and geometric calculations. The system uses a simple continuous diode laser and an industrial camera for signal transmission and reception, which is stable and cost-effective. In this paper, from the basic principle of Scheimpflug imaging lidar, the detection capability of Scheimpflug imaging lidar system for near-range aerosols under single-channel and dual-channel conditions is explored through numerical simulation; and a prototype Scheimpflug imaging lidar is developed for single-channel and dual-channel pollution source detection experiments. By comparing the results of single-channel and dual-channel aerosol detection experiments, the advantages and feasibility of dual-channel and multi-channel Scheimpflug imaging lidar systems for high-precision detection in short detection blind zones are verified.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Juan Zhu, Zhenzhu Wang, Xuanhao Zhu, Zhisheng Zhang, and Dong Liu "Aerosol detection experiment of Lidar system based on Scheimpflug imaging principle", Proc. SPIE 13504, AOPC 2024: Atmospheric and Environmental Optics, 1350404 (13 December 2024); https://doi.org/10.1117/12.3045533
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KEYWORDS
LIDAR

Aerosols

Atmospheric monitoring

Atmospheric particles

Atmospheric sensing

Environmental monitoring

Image sensors

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