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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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
25 Apr 2020
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| In: |
Journal of geophysical research. Biogeosciences
Year: 2020, Jahrgang: 125, Heft: 7 |
| ISSN: | 2169-8961 |
| DOI: | 10.1029/2019JG005533 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1029/2019JG005533 Verlag, Volltext: https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019JG005533 |
| Verfasserangaben: | Christine Y. Chang, Luis Guanter, Christian Frankenberg, Philipp Köhler, Lianhong Gu, Troy S. Magney, Katja Grossmann, and Ying Sun |
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| 245 | 1 | 0 | |a Systematic assessment of retrieval methods for canopy rar-red solar-induced chlorophyll fluorescence using high-frequency automated field spectroscopy |c Christine Y. Chang, Luis Guanter, Christian Frankenberg, Philipp Köhler, Lianhong Gu, Troy S. Magney, Katja Grossmann, and Ying Sun |
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| 520 | |a 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. | ||
| 650 | 4 | |a assessment of retrieval methods | |
| 650 | 4 | |a field spectroscopy | |
| 650 | 4 | |a Solar-induced chlorophyll fluorescence (SIF) | |
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