Spectroscopy and Spectral Analysis, Volume. 40, Issue 3, 898(2020)
Prediction of Continuous Time Series Leaf Area Index Based on Long Short-Term Memory Network: a Case Study of Winter Wheat
References(10)
[2] [2] Campos-Taberner M, García-Haro F J, Camps-Valls G, et al. Remote Sensing of Environment, 2016, 187: 102.
[3] [3] Rembold F, Atzberger C, Savin I, et al. Remote Sensing, 2013, 5(4): 1704.
[4] [4] Dong T, Liu J, Qian B, et al. International Journal of Applied Earth Observation and Geoinformation, 2016, 49: 63.
[5] [5] Marletto V, Ventura F, Fontana G, et al. Agricultural and Forest Meteorology, 2007, 147(1-2): 71.
[6] [6] Xiao Z, Liang S, Wang J, et al. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 209.
[7] [7] Chen B, Wu Z, Wang J, et al. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 102: 148.
[8] [8] Kim Y, Roh J H, Kim H Y. Sustainability, 2017, 10(1): 34.
[9] [9] Ruwurm M, Krner M. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017, 42: 551.
[10] [10] Ma G, Huang J, Wu W, et al. Mathematical and Computer Modelling, 2013, 58(3-4): 634.
[11] [11] Huang J, Tian L, Liang S, et al. Agricultural and Forest Meteorology, 2015, 204: 106.
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LONG Ze-hao, QIN Qi-ming, ZHANG Tian-yuan, XU Wei. Prediction of Continuous Time Series Leaf Area Index Based on Long Short-Term Memory Network: a Case Study of Winter Wheat[J]. Spectroscopy and Spectral Analysis, 2020, 40(3): 898
Paper Information
Received: Jan. 6, 2019
Accepted: --
Published Online: Mar. 25, 2020
The Author Email: Ze-hao LONG (longzehao@pku.edu.cn)
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