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Journal of Applied Remote Sensing

Site-level evaluation of MODIS-based primary production in an old-growth forest in Northeast China
Author(s): Jiabing Wu; Jinwei Sun; Dexin Guan; Hong Yang; Guanghua Yin; Anzhi Wang; Fenghui Yuan; Changjie Jin
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Paper Abstract

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.

Paper Details

Date Published: 1 January 2011
PDF: 14 pages
J. Appl. Remote Sens. 5(1) 053551 doi: 10.1117/1.3624519
Published in: Journal of Applied Remote Sensing Volume 5, Issue 1
Show Author Affiliations
Jiabing Wu, Institute of Applied Ecology (China)
Jinwei Sun, Institute of Applied Ecology (China)
Dexin Guan, Institute of Applied Ecology (China)
Hong Yang, Institute of Applied Ecology (China)
Guanghua Yin, Institute of Applied Ecology (China)
Anzhi Wang, Institute of Applied Ecology (China)
Fenghui Yuan, Institute of Applied Ecology (China)
Changjie Jin, Institute of Applied Ecology (China)

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