Articles | Volume 11, issue 22
https://doi.org/10.5194/bg-11-6277-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-11-6277-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Nov 2014
Research article |
| 21 Nov 2014
Retrieval of the photochemical reflectance index for assessing xanthophyll cycle activity: a comparison of near-surface optical sensors
Geography, School of Environment, Education and Development, University of Manchester, Manchester, M13 9PL, UK
J. A. Gamon
Departments of Earth & Atmospheric Sciences and Biological Sciences, University of Alberta, Edmonton, AB T6G 2E3, Canada
G. Z. Pastorello
Computational Research Division, Lawrence Berkeley National Laboratory, CA 94720, USA
C. Y. S. Wong
Departments of Earth & Atmospheric Sciences and Biological Sciences, University of Alberta, Edmonton, AB T6G 2E3, Canada
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Cited
26 citations as recorded by crossref.
- Zeaxanthin-independent energy quenching and alternative electron sinks cause a decoupling of the relationship between the photochemical reflectance index (PRI) and photosynthesis in an evergreen conifer during spring E. Fréchette et al. 10.1093/jxb/erv427
- High‐throughput drone‐based remote sensing reliably tracks phenology in thousands of conifer seedlings P. D'Odorico et al. 10.1111/nph.16488
- Reviews and Syntheses: optical sampling of the flux tower footprint J. Gamon 10.5194/bg-12-4509-2015
- The response of boreal peatland community composition and NDVI to hydrologic change, warming, and elevated carbon dioxide M. McPartland et al. 10.1111/gcb.14465
- Spectral library of crops and discrimination of major vegetables grown in the eastern Himalayan ecosystem: A proximal hyperspectral remote sensing approach B. Choudhury et al. 10.1016/j.ecoinf.2023.102263
- The Response of Spectral Vegetation Indices and Solar‐Induced Fluorescence to Changes in Illumination Intensity and Geometry in the Days Surrounding the 2017 North American Solar Eclipse C. Rogers et al. 10.1029/2020JG005774
- A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures R. Handcock et al. 10.5194/bg-13-4673-2016
- Potential for using remote sensing to estimate carbon fluxes across northern peatlands – A review K. Lees et al. 10.1016/j.scitotenv.2017.09.103
- Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors J. Gamon et al. 10.5194/bg-12-4149-2015
- Extending Fluspect to simulate xanthophyll driven leaf reflectance dynamics N. Vilfan et al. 10.1016/j.rse.2018.04.012
- Characterizing Boreal Peatland Plant Composition and Species Diversity with Hyperspectral Remote Sensing M. McPartland et al. 10.3390/rs11141685
- Testing of Automated Photochemical Reflectance Index Sensors as Proxy Measurements of Light Use Efficiency in an Aspen Forest S. Castro & A. Sanchez-Azofeifa 10.3390/s18103302
- Variation in ecosystem carbon dynamics of saltwater marshes in the northern Gulf of Mexico G. Starr et al. 10.1007/s11273-018-9593-z
- Remote sensing of variation of light use efficiency in two age classes of Douglas-fir W. Jia et al. 10.1016/j.rse.2018.10.017
- Tracking Diurnal Variation in Photosynthetic Down-Regulation Using Low Cost Spectroscopic Instrumentation M. Van Leeuwen et al. 10.3390/s150510616
- Affecting Factors and Recent Improvements of the Photochemical Reflectance Index (PRI) for Remotely Sensing Foliar, Canopy and Ecosystemic Radiation-Use Efficiencies C. Zhang et al. 10.3390/rs8090677
- Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data S. Paul et al. 10.1109/JSTARS.2020.2983000
- Artificial neural network based on multilayer perceptron algorithm as a tool for tomato stress identification in soilless cultivation A. Elvanidi & N. Katsoulas 10.17660/ActaHortic.2023.1377.54
- Spectral determination of concentrations of functionally diverse pigments in increasingly complex arctic tundra canopies N. Boelman et al. 10.1007/s00442-016-3646-x
- Carotenoid based vegetation indices for accurate monitoring of the phenology of photosynthesis at the leaf-scale in deciduous and evergreen trees C. Wong et al. 10.1016/j.rse.2019.111407
- Leaf reflectance can surrogate foliar economics better than physiological traits across macrophyte species P. Villa et al. 10.1186/s13007-021-00816-4
- EUROSPEC: at the interface between remote-sensing and ecosystem CO<sub>2</sub> flux measurements in Europe A. Porcar-Castell et al. 10.5194/bg-12-6103-2015
- Machine Learning-Based Crop Stress Detection in Greenhouses A. Elvanidi & N. Katsoulas 10.3390/plants12010052
- The Impact of Sunlight Conditions on the Consistency of Vegetation Indices in Croplands—Effective Usage of Vegetation Indices from Continuous Ground-Based Spectral Measurements M. Ishihara et al. 10.3390/rs71014079
- Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data S. Bandopadhyay et al. 10.3390/rs13132545
- Response of high frequency Photochemical Reflectance Index (PRI) measurements to environmental conditions in wheat T. Magney et al. 10.1016/j.rse.2015.11.013
25 citations as recorded by crossref.
- Zeaxanthin-independent energy quenching and alternative electron sinks cause a decoupling of the relationship between the photochemical reflectance index (PRI) and photosynthesis in an evergreen conifer during spring E. Fréchette et al. 10.1093/jxb/erv427
- High‐throughput drone‐based remote sensing reliably tracks phenology in thousands of conifer seedlings P. D'Odorico et al. 10.1111/nph.16488
- Reviews and Syntheses: optical sampling of the flux tower footprint J. Gamon 10.5194/bg-12-4509-2015
- The response of boreal peatland community composition and NDVI to hydrologic change, warming, and elevated carbon dioxide M. McPartland et al. 10.1111/gcb.14465
- Spectral library of crops and discrimination of major vegetables grown in the eastern Himalayan ecosystem: A proximal hyperspectral remote sensing approach B. Choudhury et al. 10.1016/j.ecoinf.2023.102263
- The Response of Spectral Vegetation Indices and Solar‐Induced Fluorescence to Changes in Illumination Intensity and Geometry in the Days Surrounding the 2017 North American Solar Eclipse C. Rogers et al. 10.1029/2020JG005774
- A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures R. Handcock et al. 10.5194/bg-13-4673-2016
- Potential for using remote sensing to estimate carbon fluxes across northern peatlands – A review K. Lees et al. 10.1016/j.scitotenv.2017.09.103
- Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors J. Gamon et al. 10.5194/bg-12-4149-2015
- Extending Fluspect to simulate xanthophyll driven leaf reflectance dynamics N. Vilfan et al. 10.1016/j.rse.2018.04.012
- Characterizing Boreal Peatland Plant Composition and Species Diversity with Hyperspectral Remote Sensing M. McPartland et al. 10.3390/rs11141685
- Testing of Automated Photochemical Reflectance Index Sensors as Proxy Measurements of Light Use Efficiency in an Aspen Forest S. Castro & A. Sanchez-Azofeifa 10.3390/s18103302
- Variation in ecosystem carbon dynamics of saltwater marshes in the northern Gulf of Mexico G. Starr et al. 10.1007/s11273-018-9593-z
- Remote sensing of variation of light use efficiency in two age classes of Douglas-fir W. Jia et al. 10.1016/j.rse.2018.10.017
- Tracking Diurnal Variation in Photosynthetic Down-Regulation Using Low Cost Spectroscopic Instrumentation M. Van Leeuwen et al. 10.3390/s150510616
- Affecting Factors and Recent Improvements of the Photochemical Reflectance Index (PRI) for Remotely Sensing Foliar, Canopy and Ecosystemic Radiation-Use Efficiencies C. Zhang et al. 10.3390/rs8090677
- Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data S. Paul et al. 10.1109/JSTARS.2020.2983000
- Artificial neural network based on multilayer perceptron algorithm as a tool for tomato stress identification in soilless cultivation A. Elvanidi & N. Katsoulas 10.17660/ActaHortic.2023.1377.54
- Spectral determination of concentrations of functionally diverse pigments in increasingly complex arctic tundra canopies N. Boelman et al. 10.1007/s00442-016-3646-x
- Carotenoid based vegetation indices for accurate monitoring of the phenology of photosynthesis at the leaf-scale in deciduous and evergreen trees C. Wong et al. 10.1016/j.rse.2019.111407
- Leaf reflectance can surrogate foliar economics better than physiological traits across macrophyte species P. Villa et al. 10.1186/s13007-021-00816-4
- EUROSPEC: at the interface between remote-sensing and ecosystem CO<sub>2</sub> flux measurements in Europe A. Porcar-Castell et al. 10.5194/bg-12-6103-2015
- Machine Learning-Based Crop Stress Detection in Greenhouses A. Elvanidi & N. Katsoulas 10.3390/plants12010052
- The Impact of Sunlight Conditions on the Consistency of Vegetation Indices in Croplands—Effective Usage of Vegetation Indices from Continuous Ground-Based Spectral Measurements M. Ishihara et al. 10.3390/rs71014079
- Can Vegetation Indices Serve as Proxies for Potential Sun-Induced Fluorescence (SIF)? A Fuzzy Simulation Approach on Airborne Imaging Spectroscopy Data S. Bandopadhyay et al. 10.3390/rs13132545
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
Lower-cost optical sensors, which can be left outdoors, are often used to provide information regarding plant photosynthetic activity. A lower-cost sensor was compared with an expensive instrument to see if the data collected were comparable. Both instruments were able to track changes in photosynthetic activity, but the values recorded by each were different. This can cause difficulties when comparing data across space and time. We provide advice on how best to use these sensors in the field.
Lower-cost optical sensors, which can be left outdoors, are often used to provide information...
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