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

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.

The use of remote sensing in light use efficiency based models of gross primary production: A review of current status and future requirements

“…involved, include near surface observations using transect measurements , permanently established tower based observations of forest canopies (Leuning et al, 2006;Hilker et al, 2007), and airborne measurements (Nichol et al, 2000;Chen and Vierling, 2006;Rahman et al, 2001). A first spaceborne assessment of was introduced by Drolet et al (2005), successfully using backscatter reflectance data from MODIS Aqua over the Canadian boreal forest with a spatial resolution of 1 km 2 .…”

“…GPP can be determined from EC data by adding estimates of ecosystem respiration (R) to measured NEP values, and can be obtained from additional measurements of f PAR and PAR using radiation sensors above and below the canopy (Humphreys et al, 2006). Remotely sensed estimates of stand level GPP have been correlated with EC flux data from ground based (Cheng et al, 2006;Sims et al, 2006), tower based (Filella et al, 1996;Stylinski et al, 2002), airborne (Nichol et al, 2000; and spaceborne platforms Drolet et al, 2005;Coops et al, 2007). Also, to bridge the spatial gap existing between near surface and airborne remote sensing platforms, Chen and Vierling (2006) tested a tethered balloon mounted platform to evaluate canopy reflectance of a grassland conifer forest ecotone.…”

Connection of the Photochemical Reflectance Index (PRI) with the Photosystem II Quantum Yield and Nonphotochemical Quenching Can Be Dependent on Variations of Photosynthetic Parameters among Investigated Plants: A Meta-Analysis

“…Connections between PRI and other photosynthetic parameters, including a quantum yield of photosystem II (∆F/F m ') [38,41,42,[45][46][47][48][49], photosynthetic light use efficiency (LUE) [3,48,[50][51][52][53][54][55], and net CO 2 uptake [47,[56][57][58][59], are actively being investigated. However, the results of these different works vary considerably, e.g., the linear correlation coefficients between PRI and NPQ can range from −0.90 [38,49,60] to +0.86 [41] in different investigations.…”

An approach for the analysis of vegetation spectra using non-linear mixed modeling of truncated power spectra

“…For vegetated surfaces the ability to link a variety of reflectance indices [1,10,11,19,37,39,40,46,58] to, for example, chlorophyll and other pigment concentrations, light use efficiency, leaf water content, and leaf area index ensures the continued pursuit of improved sensors and signal extraction methods [5,20,26,30,55].…”

“…Extracted relationships often rely on 'signature' bands of reflectance, first-or second-order derivatives of reflectance and higher moments [19,37,39,45,46,55,58,60,64]. Endmember classification [33] and factor spectra [11] also assist in identifying relationships.…”