Characterizing leaf-scale fluorescence with spectral invariants

Lu, Wendi; Zeng, Yelu; Vilfan, Nastassia; Huang, Jianxi; Van Wittenberghe, Shari; He, Yachang; Gao, Yongyuan; Junker-Frohn, Laura Verena; Johnson, Jennifer E.; Su, Wei; Liu, Qinhuo; Siegmann, Bastian; Hao, Dalei

doi:10.1016/j.rse.2025.114704

Title: Characterizing leaf-scale fluorescence with spectral invariants

Journal Article · 12 March 2025 · Remote Sensing of Environment

DOI: https://doi.org/10.1016/j.rse.2025.114704 · OSTI ID:2536728

Lu, Wendi ^[1]; Zeng, Yelu ^[1]; Vilfan, Nastassia ^[2]; Huang, Jianxi ^[3]; Van Wittenberghe, Shari ^[4]; He, Yachang ^[1]; Gao, Yongyuan ^[1];

^[5];

^[6]; Su, Wei ^[1]; Liu, Qinhuo ^[7]; Siegmann, Bastian ^[5]; Hao, Dalei ^[8]

China Agricultural University, Beijing (China); Ministry of Agriculture and Rural Affairs, Beijing (China)
Univ. of Twente, Enschede (Netherlands)
Southwest Jiaotong University, Chengdu (China)
Universitat de València (Spain)
Forschungszentrum Juelich (Germany). Institute of Bio- and Geosciences (IBG)
Univ. of Kansas, Lawrence, KS (United States)
Chinese Academy of Sciences (CAS), Beijing (China). Aerospace Information Research Institute
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); China Agricultural University, Beijing (China)

Sun-induced chlorophyll fluorescence (SIF) is increasingly recognized as a non-destructive probe for tracking terrestrial photosynthesis. Emerging developments in spectral invariants theory provide an innovative and efficient approach for representing SIF radiative transfer processes at the canopy scale. However, modeling leaf-scale fluorescence based on the spectral invariants properties (SIP) remains underexplored. In this study, the spectral invariants theory is employed for the first time to model the leaf-scale total, backward and forward fluorescence (leaf-SIP SIF). The leaf-SIP SIF model separates the leaf-scale radiative transfer process into two distinct components: the wavelength-dependent one associated with leaf biochemical properties, and the wavelength-independent component linked to leaf structural characteristics. The leaf structure-related effects are characterized by two spectrally invariant parameters: the photon recollision probability (p) and the scattering asymmetry parameter (q), which are parameterized using the directly measurable leaf dry matter. Evaluation against field measurements shows that the proposed leaf-SIP SIF model has a good performance, with coefficient of determination (R²) of 0.89, 0.89, 0.90 and root mean squared errors (RMSE) of 1.28, 0.69, 0.74 Wm^-2µm^-1sr^-1, respectively for the total, backward, and forward fluorescence (660–800 nm). The leaf-SIP SIF model with a more concise formulation demonstrates comparable performance with the widely used Fluspect model. Further, the leaf-SIP SIF model provides a simple and efficient approach for simulating leaf-scale fluorescence, with the potential to be integrated into a unified SIP-based model framework for simulating the radiative transfer processes across the soil-leaf-canopy-atmosphere continuum.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: National Natural Science Foundation of China (NSFC); USDOE

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 2536728

Report Number(s):: PNNL-SA--197850

Journal Information:: Remote Sensing of Environment, Journal Name: Remote Sensing of Environment Vol. 322; ISSN 0034-4257

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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