Systematic Assessment of Retrieval Methods for Canopy Far-Red Solar-Induced Chlorophyll Fluorescence Using High-Frequency Automated Field Spectroscopy
Abstract
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. We find that 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. Thismore »
- Authors:
-
[1];
[2];
[3];
[4];
[5];
[7];
[1]
- Cornell Univ., Ithaca, NY (United States)
- Univ. Politecnica de Valencia, Valencia (Spain)
- California Institute of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL); California Institute of Technology (CalTech), Pasadena, CA (United States)
- California Institute of Technology (CalTech), Pasadena, CA (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Climate Change Inst.
- Univ. of California, Davis, CA (United States)
- Univ. of Heidelberg (Germany)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1661207
- Alternate Identifier(s):
- OSTI ID: 1638778
- Grant/Contract Number:
- AC05-00OR22725; DE‐AC05‐00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research. Biogeosciences
- Additional Journal Information:
- Journal Volume: 125; Journal Issue: 7; Journal ID: ISSN 2169-8953
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Solar-induced chlorophyll fluorescence (SIF); assessment of retrieval methods; field spectroscopy
Citation Formats
Chang, Christine Y., Guanter, Luis, Frankenberg, Christian, Köhler, Philipp, Gu, Lianhong, Magney, Troy S., Grossmann, Katja, and Sun, Ying. Systematic Assessment of Retrieval Methods for Canopy Far-Red Solar-Induced Chlorophyll Fluorescence Using High-Frequency Automated Field Spectroscopy. United States: N. p., 2020.
Web. doi:10.1029/2019jg005533.
Chang, Christine Y., Guanter, Luis, Frankenberg, Christian, Köhler, Philipp, Gu, Lianhong, Magney, Troy S., Grossmann, Katja, & Sun, Ying. Systematic Assessment of Retrieval Methods for Canopy Far-Red Solar-Induced Chlorophyll Fluorescence Using High-Frequency Automated Field Spectroscopy. United States. https://doi.org/10.1029/2019jg005533
Chang, Christine Y., Guanter, Luis, Frankenberg, Christian, Köhler, Philipp, Gu, Lianhong, Magney, Troy S., Grossmann, Katja, and Sun, Ying. Thu .
"Systematic Assessment of Retrieval Methods for Canopy Far-Red Solar-Induced Chlorophyll Fluorescence Using High-Frequency Automated Field Spectroscopy". United States. https://doi.org/10.1029/2019jg005533. https://www.osti.gov/servlets/purl/1661207.
@article{osti_1661207,
title = {Systematic Assessment of Retrieval Methods for Canopy Far-Red Solar-Induced Chlorophyll Fluorescence Using High-Frequency Automated Field Spectroscopy},
author = {Chang, Christine Y. and Guanter, Luis and Frankenberg, Christian and Köhler, Philipp and Gu, Lianhong and Magney, Troy S. and Grossmann, Katja and Sun, Ying},
abstractNote = {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. We find that 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.},
doi = {10.1029/2019jg005533},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 7,
volume = 125,
place = {United States},
year = {Thu Jul 16 00:00:00 EDT 2020},
month = {Thu Jul 16 00:00:00 EDT 2020}
}
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