Remote sensing of photosynthetic-light-use efficiency of boreal forest

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https://www.sciencedirect.com/science/article/pii/S0168192399001677

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https://doi.org/10.1016/S0168-1923(99)00167-7
 http://hdl.handle.net/11603/31541

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UMBC Joint Center for Earth Systems Technology (JCET)
UMBC Geography and Environmental Systems Department
UMBC GESTAR II

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https://orcid.org/0000-0003-4148-9108

Date

2000-02-28

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journal articles
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Citation of Original Publication

Nichol, Caroline J., Karl F. Huemmrich, T. Andrew Black, Paul G. Jarvis, Charles L. Walthall, John Grace, and Forrest G. Hall. “Remote Sensing of Photosynthetic-Light-Use Efficiency of Boreal Forest.” Agricultural and Forest Meteorology 101, no. 2 (March 30, 2000): 131–42. https://doi.org/10.1016/S0168-1923(99)00167-7.

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Abstract

Using a helicopter-mounted portable spectroradiometer and continuous eddy covariance data we were able to evaluate the photochemical reflectance index (PRI) as an indicator of canopy photosynthetic light-use efficiency (LUE) in four boreal forest species during the Boreal Ecosystem Atmosphere experiment (BOREAS). PRI was calculated from narrow waveband reflectance data and correlated with LUE calculated from eddy covariance data. Significant linear correlations were found between PRI and LUE when the four species were grouped together and when divided into functional type: coniferous and deciduous. Data from the helicopter-mounted spectroradiometer were then averaged to represent data generated by the Airborne Visible Infrared Imaging Spectrometer (AVIRIS). We calculated PRI from these data and relationships with canopy LUE were investigated. The relationship between PRI and LUE was weakened for deciduous species but strengthened for the coniferous species. The robust nature of this relationship suggests that relative photosynthetic rates may be derived from remotely-sensed reflectance measurements.