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Design and Characterization of a Compact and Lightweight Dual-Wavelength Chlorophyll Fluorescence Light Detection and Ranging Sensor (ChloroFLiDAR) for Remote Plant Stress Assessment

Optica Publishing Group · 20 Nov 2025 · 10.1364/opticaopen.30661190.v1

Abstract

Chlorophyll Fluorescence (ChlF) provides valuable biophysical insights into the photosynthetic status of plants, serves as an indicator of plant stress and can be measured using simple, non-invasive methods. Therefore, it can be a powerful tool for remote sensing and large-scale vegetation monitoring. In this study, we introduce a novel, lightweight, and portable dual-wavelength Chlorophyll Fluorescence Light Detection and Ranging sensor (ChloroFLiDAR) designed for photosynthesis research and remote plant stress assessment. The sensor utilizes modulated laser light to induce ChlF and employs an I/Q lock-in amplification method to isolate the signal from background noise, thereby enhancing measurement sensitivity. This approach enables accurate ChlF measurements under varying ambient light conditions, along with measurement of the distance to the leaves. Our results demonstrate that the sensor can detect ChlF at a distance of 10 m with an integration time of 65.5 μs. Additionally, experiments on European beech (Fagus sylvatica) seedlings subjected to water stress and high light intensity demonstrated the sensor's ability to detect changes in ChlF indices due to plant stress.

Plant phenotyping relevance

植物のストレス状態を遠隔で測定するクロロフィル蛍光LiDARセンサーの開発・性能実証が研究の中心であり、植物状態の計測手法に該当する。

abstractwe introduce a novel, lightweight, and portable dual-wavelength Chlorophyll Fluorescence Light Detection and Ranging sensor (ChloroFLiDAR) designed for photosynthesis research and remote plant stress assessment.
abstractOur results demonstrate that the sensor can detect ChlF at a distance of 10 m with an integration time of 65.5 μs.

Code and data availability

The paper describes the ChloroFLiDAR sensor and plant stress experiments, but no public phenotype datasets, images, code, or models are deposited. The data availability statement says data are available only on request, and no author URLs or repositories are provided.

No evidence-backed public reproduction asset is currently recorded.

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