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Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield
Earth Resources Technology, Inc., Laurel, MD 20707, USA
Biospheric Sciences Laboratory, Goddard Space Flight Center, National Aeronautics and Space Administration, Greenbelt, MD 20771, USA
Universities Space Research Association, Columbia, MD 21044, USA
Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD 21250, USA
Sigma Space Corporation, Lanham, MD 20706, USA
Hydrology and Remote Sensing Laboratory, USDA Agricultural Research Service, Beltsville, MD 20705, USA
USDA is an equal opportunity provider and employer.
* Author to whom correspondence should be addressed.
Received: 29 September 2013; in revised form: 26 November 2013 / Accepted: 27 November 2013 / Published: 9 December 2013
Abstract: The utilization of remotely sensed observations for light use efficiency (LUE) and tower-based gross primary production (GPP) estimates was studied in a USDA cornfield. Nadir hyperspectral reflectance measurements were acquired at canopy level during a collaborative field campaign conducted in four growing seasons. The Photochemical Reflectance Index (PRI) and solar induced chlorophyll fluorescence (SIF), were derived. SIF retrievals were accomplished in the two telluric atmospheric oxygen absorption features centered at 688 nm (O2-B) and 760 nm (O2-A). The PRI and SIF were examined in conjunction with GPP and LUE determined by flux tower-based measurements. All of these fluxes, environmental variables, and the PRI and SIF exhibited diurnal as well as day-to-day dynamics across the four growing seasons. Consistent with previous studies, the PRI was shown to be related to LUE (r2 = 0.54 with a logarithm fit), but the relationship varied each year. By combining the PRI and SIF in a linear regression model, stronger performances for GPP estimation were obtained. The strongest relationship (r2 = 0.80, RMSE = 0.186 mg CO2/m2/s) was achieved when using the PRI and SIF retrievals at 688 nm. Cross-validation approaches were utilized to demonstrate the robustness and consistency of the performance. This study highlights a GPP retrieval method based entirely on hyperspectral remote sensing observations.
Keywords: gross primary production; light use efficiency; photochemical reflectance index; solar induced fluorescence; cornfield
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MDPI and ACS Style
Cheng, Y.-B.; Middleton, E.M.; Zhang, Q.; Huemmrich, K.F.; Campbell, P.K.E.; Corp, L.A.; Cook, B.D.; Kustas, W.P.; Daughtry, C.S. Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield. Remote Sens. 2013, 5, 6857-6879.
Cheng Y-B, Middleton EM, Zhang Q, Huemmrich KF, Campbell PKE, Corp LA, Cook BD, Kustas WP, Daughtry CS. Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield. Remote Sensing. 2013; 5(12):6857-6879.
Cheng, Yen-Ben; Middleton, Elizabeth M.; Zhang, Qingyuan; Huemmrich, Karl F.; Campbell, Petya K.E.; Corp, Lawrence A.; Cook, Bruce D.; Kustas, William P.; Daughtry, Craig S. 2013. "Integrating Solar Induced Fluorescence and the Photochemical Reflectance Index for Estimating Gross Primary Production in a Cornfield." Remote Sens. 5, no. 12: 6857-6879.