p (sparse vegetation), with observation heights of 1.5 121 m and 3 m, respectively. For this study, we used six sets of clear-sky observations 122 conducted on April 7, 16, and 25, 2018, in Italy, and on November 5, 7, and 18, 2020, 123 in Germany. These spectral datasets are already available on the shared online platform 124 (https://zenodo.org/records/7040578). For a more detailed description, please refer to 125 the work by Naethe, Julitta [17]. 126 Figure 1 illustrates the diurnal measurements of upwelling radiance and apparent 127 reflectance recorded over the course of six days. The Italian measurements (upper two 128 rows) depict the vigorous growth period of the target vegetat
Open resource ↗zenodo · 7040578 · pdf-raw-page:6 lines:1-53Unverified paper record
FSM: A Reflectance Reconstruction Method to Retrieve Full-Spectrum Sun-Induced Chlorophyll Fluorescence From Canopy Measurements
IEEE Transactions on Geoscience and Remote Sensing · 1 Jan 2024 · 10.1109/tgrs.2024.3485576
Abstract
Full-spectrum Sun-induced chlorophyll fluorescence (SIF) offers profound physiological insights into plant functional status compared to single-band SIF. We propose a Fourier series-based method (FSM) for retrieving full-spectrum SIF, aiming to address the limitations of existing methods, such as reliance on reflectance training datasets and the limited spectral range of retrieved SIF spectrum. The core principle of the FSM involves modeling reflectance as a wavelength-dependent function, which can be approximated by successive summations using high-order expansions of the Fourier series. The performance of the FSM was thoroughly evaluated through a combination of simulations and field measurements. The findings illustrate FSM’s capability to achieve high-precision full-spectrum SIF retrieval, with an average relative root-mean-square error (RRMSE) of 2.468% based on synthetic data. Moreover, the corresponding RRMSE values in the O2-A and O2-B bands, at 1.1% and 3.724%, respectively, indicate accuracy comparable to the spectral fitting method (SFM) and advanced FSR (aFSR) methods and superior to the SpecFit method. In the field full-spectrum SIF retrieval, FSM exhibited improved reflectance reconstruction and produced more reasonable results for the diurnal variation of full-spectrum SIF. The diurnal comparison of single-band SIF at both Italian and German sites further highlights the close alignment between FSM-retrieved SIF and the SFM SIF, with$R^{2}$values exceeding 0.96 and a maximum RMSE of 0.118 mW/m2/sr/nm. Conversely, the aFSR method encountered challenges stemming from an under-representation of the training dataset, resulting in the maximum RMSE at the Italian site reaching 0.506 mW/m2/sr/nm, along with a minimum$R^{2}$of 0.809. The FSM demonstrates the promising potential for full-spectrum SIF retrieval, accompanied by fewer limitations.
Plant phenotyping relevance
植物キャノピー計測から葉緑素蛍光を抽出する新規手法を開発し、シミュレーションと圃場計測で精度検証・既存法比較を行っており、植物生理状態のフェノタイピング手法が中心である。
abstractWe propose a Fourier series-based method (FSM) for retrieving full-spectrum SIF
abstractThe performance of the FSM was thoroughly evaluated through a combination of simulations and field measurements.
abstractThe FSM demonstrates the promising potential for full-spectrum SIF retrieval, accompanied by fewer limitations.
Code and data availability
The paper's FloX field spectral measurements (canopy upwelling radiance and apparent reflectance from Grosseto, Italy and Julich, Germany) are explicitly stated to be publicly available on Zenodo, matching the allowed URL. No author analysis code or trained model deposit is mentioned.
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