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Integrating chlorophyll fAPAR and nadir photochemical reflectance index from EO-1/Hyperion to predict cornfield daily gross primary production

Zhang, Qingyuan, Middleton, Elizabeth M., Cheng, Yen-Ben, Huemmrich, K. Fred, Cook, Bruce D., Corp, Lawrence A., Kustas, William P., Russ, Andrew L., Prueger, John H., Yao, Tian
Remote sensing of environment 2016 v.186 pp. 311-321
Markov chain, USDA, chlorophyll, eddy covariance, equations, image analysis, models, photosynthesis, photosynthetically active radiation, primary productivity, radiative transfer, reflectance, remote sensing, satellites, spectrometers, vegetation, Maryland
The concept of light use efficiency (ε) and the concept of fraction of photosynthetically active ration (PAR) absorbed for vegetation photosynthesis (PSN), i.e., fAPARPSN, have been widely utilized to estimate vegetation gross primary productivity (GPP). It has been demonstrated that the photochemical reflectance index (PRI) is empirically related to ε. An experimental US Department of Agriculture (USDA) cornfield in Maryland was selected as our study field. We explored the potential of integrating fAPARcₕₗ (defined as the fraction of PAR absorbed by chlorophyll) and nadir PRI (PRIₙₐdᵢᵣ) to predict cornfield daily GPP. We acquired nadir or near-nadir EO-1/Hyperion satellite images that covered the cornfield and took nadir in-situ field spectral measurements. Those data were used to derive the PRIₙₐdᵢᵣ and fAPARcₕₗ. The fAPARcₕₗ is retrieved with the advanced radiative transfer model PROSAIL2 and the Metropolis approach, a type of Markov Chain Monte Carlo (MCMC) estimation procedure. We define chlorophyll light use efficiency (εcₕₗ) as the ratio of vegetation GPP as measured by eddy covariance techniques to PAR absorbed by chlorophyll (εcₕₗ=GPP/APARcₕₗ). Daily εcₕₗ retrieved with the EO-1 Hyperion images was regressed with a linear equation of PRIₙₐdᵢᵣ (εcₕₗ=α×PRIₙₐdᵢᵣ+β). The satellite εcₕₗ-PRIₙₐdᵢᵣ linear relationship for the cornfield was implemented to develop an integrated daily GPP model [GPP=(α×PRIₙₐdᵢᵣ+β)×fAPARcₕₗ×PAR], which was evaluated with fAPARcₕₗ and PRIₙₐdᵢᵣ retrieved from field measurements. Daily GPP estimated with this fAPARcₕₗ-PRIₙₐdᵢᵣ integration model was strongly correlated with the observed tower in-situ daily GPP (R²=0.93); with a root mean square error (RMSE) of 1.71gCmol⁻¹ PPFD and coefficient of variation (CV) of 16.57%. Both seasonal εcₕₗ and PRIₙₐdᵢᵣ were strongly correlated with fAPARcₕₗ retrieved from field measurements, which indicates that chlorophyll content strongly affects seasonal εcₕₗ and PRIₙₐdᵢᵣ. We demonstrate the potential capacity to monitor GPP with space-based visible through shortwave infrared (VSWIR) imaging spectrometers such as NASA’s soon to be decommissioned EO-1/Hyperion and the future Hyperspectral Infrared Imager (HyspIRI).