Modeling and Predicting of MODIS Leaf Area Index Time Series Based on a Hybrid SARIMA and BP Neural Network Method

[1] Xiao Z Q, Liang S L, Wang J D, et al. Remote Sensing of Environment, 2011, 115(1): 97.

[2] Jin H A, Wang J D, Xiao Z Q, et al. Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International. IEEE, 2010.

[4] Savoy P, Mackay D S. Agricultural and Forest Meteorology, 2015, 200: 46.

[5] Dickinson R E, Tian Y H, Liu Q, et al. Journal of Geophysical Research: Atmospheres (1984—2012), 2008, 113(D16).

[6] Jiang B, Liang S L, Wang J D, et al. Remote Sensing of Environment, 2010, 114(7): 1432.

[7] Gao F, Morisette J T, Wolfe R E, et al. IEEE Geoscience and Remote Sensing Letters, 2008, 5(1): 60.

[8] Zhang G P. Neurocomputing, 2003, 50: 159.

[11] Box G E, Jenkins G M, Reinsel G C. Time Series Analysis: Forecasting and Control. John Wiley & Sons, 2011.

[12] Cheng C, Cheng X S, Dai N, et al. Computers in Biology and Medicine, 2015, 66: 103.

[13] Liu Y K, Xie F, Xie C L, et al. Annals of Nuclear Energy, 2015, 85: 566.

[14] Fu L M. Neural Networks in Computer Intelligence. Tata: McGraw-Hill Education, 2003.

[15] Khashei M, Bijari M. Applied Soft Computing, 2011, 11(2): 2664.

[16] Faruk D . Engineering Applications of Artificial Intelligence, 2010, 23(4): 586.