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Validation of MODIS-GPP product at 10 flux sites in northern China

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Wang XF, Ma MG, Li X, Song Y, Tan JL, Huang GH, Zhang ZH, Zhao TB, Feng JM, Ma ZG, Wei W, Bai YF. Validation of MODIS-GPP product at 10 flux sites in northern China. International Journal of Remote Sensing, 2013, 34(2): 587-599, DOI:10.1080/01431161.2012.715774.

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Type Of Reference JOUR
Title Validation of MODIS-GPP product at 10 flux sites in northern China
Authors Wang, Xufeng| Ma, Mingguo| Li, Xin| Song, Yi| Tan, Junlei| Huang, Guanghui| Zhang, Zhihui| Zhao, Tianbao| Feng, Jinming| Ma, Zhuguo| Wei, Wei| Bai, Yanfen|
Secondary Title International Journal of Remote Sensing
Abstract Gross primary production (GPP) is an important variable in studies of the carbon cycle and climate change. The Moderate Resolution Imaging Spectroradiometer (MODIS)-GPP product (MOD17) provides global GPP data for terrestrial ecosystems; however, it is not well validated in China. In this study, an eddy covariance (EC) system observed GPP at 10 sites in northern China and was used to validate MOD17. The results indicated that MOD17 presents a strong bias in the study region due to the meteorological data, MODIS FPAR (fraction of absorbed photosynthetically active radiation) (MOD15), and the model parameters in the MODIS-GPP algorithm, Biome Parameters Look Up Table (BPLUT). Maximum light-use efficiency (ϵ0) had the strongest impact on the predicted GPP of the MODIS-GPP algorithm. After using the inputs observed in situ and improving parameters in the MODIS-GPP algorithm, the model could explain 85% of the EC-observed GPP of the sites, whereas the MODIS-GPP algorithm without in situ inputs and parameters only explained 26% of EC-observed GPP.
Date 2013///
Year 2013
DOI 10.1080/01431161.2012.715774
Database Provider Taylor and Francis+NEJM
volume 34
Issue Number 2
Start Page 587
Issn 0143-1161
Url http://www.tandfonline.com/doi/abs/10.1080/01431161.2012.715774
Access Date 2013/10/04/06:35:07
file_attachments2 http://www.tandfonline.com/doi/abs/10.1080/01431161.2012.715774
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