Systematic assessment of retrieval methods for canopy rar-red solar-induced chlorophyll fluorescence using high-frequency automated field spectroscopy

Remote sensing of solar-induced chlorophyll fluorescence (SIF) offers potential to infer photosynthesis across scales and biomes. Many retrieval methods have been developed to estimate top-of-canopy SIF using ground-based spectroscopy. However, inconsistencies among methods may confound interpretati...

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Bibliographic Details
Main Authors: Chang, Christine (Author) , Großmann, Katja (Author)
Format: Article (Journal)
Language:English
Published: 25 Apr 2020
In: Journal of geophysical research. Biogeosciences
Year: 2020, Volume: 125, Issue: 7
ISSN:2169-8961
DOI:10.1029/2019JG005533
Online Access:Verlag, Volltext: https://doi.org/10.1029/2019JG005533
Verlag, Volltext: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JG005533
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Author Notes:Christine Y. Chang, Luis Guanter, Christian Frankenberg, Philipp Köhler, Lianhong Gu, Troy S. Magney, Katja Grossmann, and Ying Sun
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Summary:Remote sensing of solar-induced chlorophyll fluorescence (SIF) offers potential to infer photosynthesis across scales and biomes. Many retrieval methods have been developed to estimate top-of-canopy SIF using ground-based spectroscopy. However, inconsistencies among methods may confound interpretation of SIF dynamics, eco-physiological/environmental drivers, and its relationship with photosynthesis. Using high temporal- and spectral resolution ground-based spectroscopy, we aimed to (1) evaluate performance of SIF retrieval methods under diverse sky conditions using continuous field measurements; (2) assess method sensitivity to fluctuating light, reflectance, and fluorescence emission spectra; and (3) inform users for optimal ground-based SIF retrieval. Analysis included field measurements from bi-hemispherical and hemispherical-conical systems and synthetic upwelling radiance constructed from measured downwelling radiance, simulated reflectance, and simulated fluorescence for benchmarking. Fraunhofer-based differential optical absorption spectroscopy (DOAS) and singular vector decomposition (SVD) retrievals exhibit convergent SIF-PAR relationships and diurnal consistency across different sky conditions, while O2A-based spectral fitting method (SFM), SVD, and modified Fraunhofer line discrimination (3FLD) exhibit divergent SIF-PAR relationships across sky conditions. Such behavior holds across system configurations, though hemispherical-conical systems diverge less across sky conditions. O2A retrieval accuracy, influenced by atmospheric distortion, improves with a narrower fitting window and when training SVD with temporally local spectra. This may impact SIF-photosynthesis relationships interpreted by previous studies using O2A-based retrievals with standard (759-767.76 nm) fitting windows. Fraunhofer-based retrievals resist atmospheric impacts but are noisier and more sensitive to assumed SIF spectral shape than O2A-based retrievals. We recommend SVD or SFM using reduced fitting window (759.5-761.5 nm) for robust far-red SIF retrievals across sky conditions.
Item Description:Gesehen am 26.10.2020
Physical Description:Online Resource
ISSN:2169-8961
DOI:10.1029/2019JG005533