Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion

REMOTE SENSING OF ENVIRONMENT

卷:215

Article

Celesti, Marco¹  van der Tol, Christiaan²  Cogliati, Sergio¹  Panigada, Cinzia¹  Yang, Peiqi²  Pinto, Francisco^3,4  Rascher, Uwe⁴  Miglietta, Franco^5,6  Colombo, Roberto¹  Rossini, Micol¹ 

[1] Univ Milano Bicocca, Dept Earth & Environm Sci DISAT, Remote Sensing Environm Dynam Lab, Piazza Sci 1, I-20126 Milan, Italy

[2] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands

[3] Int Maize & Wheat Improvement Ctr CIMMYT, Global Wheat Program, Texcoco 56237, Mexico

[4] Forschungszentrum Julich, Inst Bio & Geosci, IBG Plant Sci 2, D-52428 Julich, Germany

[5] Natl Res Council IBIMET CNR, Inst Biometeorol, Via Caproni 8, I-50145 Florence, Italy

[6] Univ Aix Marseille, Inst Rech Avances, IMeRA, 2 Pl Verrier, F-13004 Marseille, France

关键词: Sun-induced chlorophyll fluorescence;    Fluorescence quantum yield;    SCOPE;    Numerical optimization;    Plant status;   

DOI  :  10.1016/j.rse.2018.05.013

来源: Elsevier

【 摘 要 】

A novel approach to characterize the physiological conditions of plants from hyperspectral remote sensing data through the numerical inversion of a light version of the SCOPE model is proposed. The combined retrieval of vegetation biochemical and biophysical parameters and Sun-induced chlorophyll fluorescence (F) was investigated exploiting high resolution spectral measurements in the visible and near-infrared spectral regions. First, the retrieval scheme was evaluated against a synthetic dataset. Then, it was applied to very high resolution (sub-nanometer) canopy level spectral measurements collected over a lawn treated with different doses of a herbicide (Chlorotoluron) known to instantaneously inhibit both Photochemical and Non-Photochemical Quenching (PQ and NPQ, respectively). For the first time the full spectrum of canopy F, the fluorescence quantum yield (Phi(F)), as well as the main vegetation parameters that control light absorption and reabsorption, were retrieved concurrently using canopy-level high resolution apparent reflectance (rho*) spectra. The effects of pigment content, leaf/canopy structural properties and physiology were effectively discriminated. Their combined observation over time led to the recognition of dynamic patterns of stress adaptation and stress recovery. As a reference, F values obtained with the model inversion were compared to those retrieved with state of the art Spectral Fitting Methods (SFM) and SpecFit retrieval algorithms applied on field data. Phi(F) retrieved from rho* was eventually compared with an independent biophysical model of photosynthesis and fluorescence. These results foster the use of repeated hyperspectral remote sensing observations together with radiative transfer and biochemical models for plant status monitoring.

【 授权许可】

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