Spectroscopy and Spectral Analysis, Volume. 38, Issue 12, 3905(2018)

Hyperspectral Estimation Model of Leaf Water Content in Spring Wheat Based on Grey Relational Analysis

Umut Hasan1,2、*, Mamat Sawut1,2,3, Nijat Kasim1,2, Nigela Taxipulati1,3, WANG Jing-zhe1,2, and Irxat Ablat1,2
Author Affiliations
  • 1[in Chinese]
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  • 3[in Chinese]
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    References(6)

    [1] [1] Rodríguez-Pérez J R, Ordóez C, Gonzlez-Femndez A B, et al. Biosystems Engineering, 2018, 165: 36.

    [2] [2] Fang M, Ju W, Zhan W, et al. Remote Sensing of Environment, 2017, 196: 13.

    [6] [6] Cheng Tao, Rivard B, Sánchez-Azofeifa A. Remote Sensing of Environment, 2011, 115(2): 659.

    [12] [12] Yi Q X, WANG F M, Bao A M, et al. Int. J. Appl. Earth Obs Geoinformations, 2014, 33: 67.

    [13] [13] Vstin S L, Roberts D A, Gardner M, et al. Proc IEEE Conference on Gioscience and Remote Sensing Symposium, 2002, 2: 796.

    [14] [14] Wang L L , Hunt Jr E R, Qu J J, et al. Romote Sensing of Environment, 2011, 115(3): 836.

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    Umut Hasan, Mamat Sawut, Nijat Kasim, Nigela Taxipulati, WANG Jing-zhe, Irxat Ablat. Hyperspectral Estimation Model of Leaf Water Content in Spring Wheat Based on Grey Relational Analysis[J]. Spectroscopy and Spectral Analysis, 2018, 38(12): 3905

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    Paper Information

    Received: Nov. 26, 2017

    Accepted: --

    Published Online: Dec. 16, 2018

    The Author Email: Umut Hasan (MasterWu516@163.com)

    DOI:10.3964/j.issn.1000-0593(2018)12-3905-07

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