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1 January 2011 Site-level evaluation of MODIS-based primary production in an old-growth forest in Northeast China
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To improve the accuracy of the moderate resolution imaging spectroradiometer (MODIS) gross primary production (GPP) algorithm, it is critical to evaluate MODIS GPP production for different land cover types using ground-based measurements. In this paper the MODIS primary production products (MOD17) is evaluated by using site-specific input parameters to the algorithm and compared to the results of eddy covariance measurements over an old-growth forest. Direct comparisons suggest that 8-day GPP predicted by the standard MODIS algorithm was highly correlated with flux tower based GPP (r2 = 0.77, P<0.001), while with an average underestimation of 39%. The difference is substantial in magnitude mainly because the inputs of underestimated MODIS biome-specific parameters, maximum light use efficiency εmax and MODIS derived fraction of photosynthetically active radiation. The modified MODIS algorithm GPP calculated with site-specific input parameters compares favorably with ground flux tower observations (r2 = 0.92, relative error = 7%). These results suggest that the MODIS GPP production is most likely underpredicted in forest sites with high primary production, and site-specific input parameters could help to improve the accuracy of MODIS GPP algorithm.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jiabing Wu, Jinwei Sun, Dexin Guan, Hong Yang, Guanghua Yin, Anzhi Wang, Fenghui Yuan, and Changjie Jin "Site-level evaluation of MODIS-based primary production in an old-growth forest in Northeast China," Journal of Applied Remote Sensing 5(1), 053551 (1 January 2011).
Published: 1 January 2011

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