摘要

   GLASS FAPAR近似为一减去PAR在整个树冠中的透射率，这可以从GLASS LAI产品和其他信息计算得出(Xiao等人，2015a)。该算法可以有效地估计与LAI乘积在物理上一致的FAPAR值。来自MODIS数据的GLASS FAPAR乘积是当地时间上午10:30的瞬时值，非常接近每日平均PAPAR。

Part1数据介绍

原始数据：马里兰大学GLASS网站

范围：全球

空间分辨率：0.05deg

时间分辨率：8d

时间范围：1981-2018

数据来源：http://www.glass.umd.edu/

Part2参考文献

[1]Yuan, W.P., Liu, S., Zhou, G.S., Zhou, G.Y., Tieszen, L.L., Baldocchi, D., Bernhofer, C., Gholz, H., Goldstein, A.H., Goulden, M.L., Hollinger, D.Y., Hu, Y., Law, B.E., Stoy, P.C., Vesala, T., Wofsy, S.C., & AmeriFlux, C. (2007). Deriving a light use efficiency model from eddy covariance flux data for predicting dailygross primary production across biomes. Agricultural and Forest Meteorology, 143, 189-207

[2]Yuan, W.P., Liu, S.G., Yu, G.R., Bonnefond, J.M., Chen, J.Q., Davis, K., Desai, A.R., Goldstein, A.H., Gianelle, D., Rossi, F., Suyker, A.E., & Verma, S.B. (2010). Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data. Remote Sensing of Environment, 114, 1416-1431

[3]Li, X., Liang, S., Yu, G., Yuan, W., Cheng, X., Xia, J., Zhao, T., Feng, J., Ma, Z., Ma, M., Liu, S., Chen, J., Shao, C., Li, S., Zhang, X., Zhang, Z., Chen, S., Ohta, T., Varlagin, A., Miyata, A., Takagi, K., Saiqusa, N., & Kato, T. (2013). Estimation of gross primary production over the terrestrial ecosystems in China. Ecological Modelling, 261–262, 80-92

[4]Yuan, W., Cai, W., Xia, J., Chen, J., Liu, S., Dong, W., Merbold, L., Law, B., Arain, A., & Beringer, J. (2014). Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database. Agricultural and Forest Meteorology, 192, 108-120

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