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Nocturnal Light Emitting Diode Induced Fluorescence (LEDIF): A new technique to measure the chlorophyll a fluorescence emission spectral distribution of plant canopies in situ

Remote Sensing of Environment · 1 Sept 2019 · 10.1016/j.rse.2019.03.030

Abstract

-Solar-induced chlorophyll a Fluorescence (SIF), which is distributed over a relatively broad (~200 nm) spectral range, is a signal intricately connected to the efficiency of photosynthesis and is now observable from space. Variants of the Fraunhofer Line Depth/Discriminator (FLD) method are used as the basis of retrieval algorithms for estimating SIF from space. Although typically unobserved directly, recent advances in FLD-based algorithms now facilitate the prediction (by model inversion) of the canopy emitted fluorescence spectrum from the discrete-feature FLD retrievals.-Here we present first canopy scale measurements of chlorophyll a fluorescence spectra emitted from Scots pine at two times of year, and also from a lingonberry dominated understory. We used a high power multispectral Light Emitting Diode (LED) array to illuminate the respective canopies at night and measured under standardised conditions using a field spectrometer mounted in the nadir position above the canopy. We refer to the technique, which facilitates the in situ upscaling of a commonly measured leaf scale quantity to the canopy, as nocturnal LED-Induced chlorophyll a Fluorescence (LEDIF).-The shape of the LEDIF spectra was dependant on the colour of the excitation light and also on the dominant species. Because we measured pine at two different times of year we were also able to show an increase in the canopy scale apparent quantum yield of fluorescence which was consistent with leaf-level increase in fluorescence yield recorded with a monitoring PAM fluorometer.-The automation of the LEDIF technique could be used to estimate seasonal changes in canopy fluorescence spectra and yield from fixed or mobile platforms and provide a window into functional traits across species and architectures. LEDIF could also be used to evaluate FLD and inversion-based retrievals of canopy spectra, as well as different irradiance normalisation schemes typically applied to SIF data to account for the dependence of SIF on ambient light conditions.

Plant phenotyping relevance

植物キャノピーのクロロフィル蛍光スペクトルと見かけの量子収率を測定する新規LEDIF手法を開発・実証しており、植物の生理形質取得が研究の中心である。

abstractHere we present first canopy scale measurements of chlorophyll a fluorescence spectra emitted from Scots pine at two times of year, and also from a lingonberry dominated understory.
abstractWe refer to the technique, which facilitates the in situ upscaling of a commonly measured leaf scale quantity to the canopy, as nocturnal LED-Induced chlorophyll a Fluorescence (LEDIF).
abstractThe automation of the LEDIF technique could be used to estimate seasonal changes in canopy fluorescence spectra and yield from fixed or mobile platforms and provide a window into functional traits across species and architectures.

Code and data availability

The paper's LEDIF fluorescence spectra and analysis code are not stated to be publicly available. The only qualifying public asset is the SMARTSMEAR database, from which the authors downloaded the site PAR and temperature measurements used in the study; it is a public, paper-relevant data source with an explicit URL,但它

Datasetpublic

Across Space and Time (FAST2017) campaign, at the Station for Measuring Atmosphere-Ecosystem Relations II (SMEARII), Hyytiälä, Finland (61°51N, 24°17E). Site measurements of above canopy photosynthetically active radiation (PAR) and in canopy (16.8 m) temperature were downloaded from the publicly accessible SMARTSMEAR database (https://avaa.tdata.fi/web/smart).2.2. Canopy spectral measurements Canopy scale steady state chlorophyll a fluorescence spectra were excited at night using a multispectral LED light source (BPP210 Beamz Professional, distributed by Tronios BV, Twente, Netherlands) from a scaffold tower at a height of approximately 0.5 m above a mature 15 m tall Scots pine tree

Open resource ↗SMARTSMEAR · pdf-raw-page:2 lines:72-128

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