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WAFER: A new method to retrieve sun-induced fluorescence based on spectral wavelet decompositions

arXiv · 15 Sept 2025 · 10.48550/arxiv.2509.11829

Abstract

Sun-induced fluorescence (SIF) as a close remote sensing based proxy for photosynthesis is accepted as a useful measure to remotely monitor vegetation health and gross primary productivity. In this work we present the new retrieval method WAFER (WAvelet decomposition FluorEscence Retrieval) based on wavelet decompositions of the measured spectra of reflected radiance as well as a reference radiance not containing fluorescence. By comparing absolute absorption line depths by means of the corresponding wavelet coefficients, a relative reflectance is retrieved independently of the fluorescence, i.e. without introducing a coupling between reflectance and fluorescence. The fluorescence can then be derived as the remaining offset. This method can be applied to arbitrary chosen wavelength windows in the whole spectral range, such that all the spectral data available is exploited, including the separation into several frequency (i.e. width of absorption lines) levels and without the need of extensive training datasets. At the same time, the assumptions about the reflectance shape are minimal and no spectral shape assumptions are imposed on the fluorescence, which not only avoids biases arising from wrong or differing fluorescence models across different spatial scales and retrieval methods but also allows for the exploration of this spectral shape for different measurement setups. WAFER is tested on a synthetic dataset as well as several diurnal datasets acquired with a field spectrometer (FloX) over an agricultural site. We compare the WAFER method to two established retrieval methods, namely the improved Fraunhofer line discrimination (iFLD) method and spectral fitting method (SFM) and find a good agreement with the added possibility of exploring the true spectral shape of the offset signal and free choice of the retrieval window. (abbreviated)

Plant phenotyping relevance

植物の光合成状態に関連するSIFを分光データから抽出する新手法を開発し、合成・実測データで既存手法と比較検証しており、表現型取得手法が中心である。

abstractIn this work we present the new retrieval method WAFER (WAvelet decomposition FluorEscence Retrieval)
abstractWAFER is tested on a synthetic dataset as well as several diurnal datasets acquired with a field spectrometer (FloX) over an agricultural site.
abstractWe compare the WAFER method to two established retrieval methods, namely the improved Fraunhofer line discrimination (iFLD) method and spectral fitting method (SFM)

Code and data availability

The paper's FloX field spectral data and WAFER analysis code are not publicly deposited; the authors state data are available only on request. The only GitHub URL cited is a third-party tool (FieldSpectroscopyDP by Julitta) used for iFLD retrievals, not the authors' own paper-specific asset.

No evidence-backed public reproduction asset is currently recorded.

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