沙氏激光雷达植物叶绿素荧光探测与验证

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关键词：沙氏激光雷达；荧光成像；三维点云；叶绿素荧光 中图分类号：TN958.98；S127 文献标识码：A doi：10.37188/OPE.20253317.2734 CSTR：32169.14.OPE.20253317.2734

Detection and validation of plant chlorophyll fluorescence employing Scheimpflug lidar

KAN Ruoran1， ZHENG Kexin 1，2 ， YANG Shuqing 2 ，MEI Liang 1，2* （1. Dalian Uniuersity of Technology and Belarusian State University Joint Institute， Dalian University of Technology，Dalian 116ooo，China; 2.School of Optoelectronic Engineering and Instrumentation Science， Dalian University of Technology，Dalian 1l6ooo，China） * Corresponding author， E -mail： meiliang@dlut. edu. cn

Abstract： Accurate monitoring of plant chlorophyll content is essential for agricultural management and physiological research. Traditional methods typically require contact measurements，are time-consuming， and cannot readily capture three-dimensional structural information.To address these limitations，a fluo rescence LiDAR system （SLiDAR） based on the Scheimpflug principle was developed for non-contact， high-precision measurement of chlorophyllfluorescence，enabling simultaneous acquisition of fluorescence spectra and three-dimensional （3D） structure. The SLiDAR employs a continuous-wave 450nm laser and a tilted CMOS sensor architecture.Normalization of the red-channel fluorescence signal by the blue-channel elastic scattering signal was implemented to suppress environmental interference and enhance signal-tonoise ratio （SNR）. Validation against a handheld chlorophyll meter （SPAD-502PLUS） for various leaf samples demonstrated a strong linear correlation （ R2>0.98 ），confirming reliable chlorophyll fluorescence retrieval and millimeter-level spatial resolution at ranges of 5-10m . The results indicate that the fluorescence SLiDAR offers high spectral sensitivity and spatial resolution，enabling eficient，non-destructive indirect monitoring of chlorophyllcontent via fluorescence measurements. This approach provides an innovative technical solution for assessng plant physiological status，with potential for enhanced applicability in agricultural remote sensing through multi-wavelength excitation and algorithmic optimization.

Key words： Scheimpflug LiDAR； fluorescence imaging；3D point cloud; chlorophyllfluorescence

1引言

在现代农业领域，实时、精准地监测植物生长状态是实现资源高效利用、提高作物产量和保障农业可持续发展的基础[1-5]。（剩余14779字）