Spectroscopy and Spectral Analysis, Volume. 41, Issue 11, 3532(2021)

Hyperspectral Estimation of Tea Leaves Water Content Under the Influence of Dust Retention

Jing JIANG1、1; 2;, Zi-wei ZHAO1、1; 2;, Chang CAI1、1; 2;, Jin-song ZHANG3、3;, and Zhi-qing CHENG1、1; 2; *;
Author Affiliations
  • 11. College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China
  • 33. Chinese Academy of Forestry, Beijing 100091, China
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    References(5)

    [1] Frank V, Rivera J P, Verrelst J et al[D]. ISPRS Journal of Photogrammetry and Remote Sensing, 108, 260(2015).

    [2] Fang M H, Ju W M, Zhan W F[D]. Remote Sensing of Environment, 196, 13(2017).

    [3] Feng Z, Zhou G S[D]. Remote Sensing of Environment, 7, 2239(2015).

    [11] Du S Q, Li Y, Lin W P et al[D]. Ecological Indicators, 104, 41(2019).

    [13] Christopher M, Jin W, Katherine M H[D]. Remote Sensing of Environment, 231, 111(2019).

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    Jing JIANG, Zi-wei ZHAO, Chang CAI, Jin-song ZHANG, Zhi-qing CHENG. Hyperspectral Estimation of Tea Leaves Water Content Under the Influence of Dust Retention[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3532

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    Paper Information

    Category: Orginal Article

    Received: Oct. 26, 2020

    Accepted: --

    Published Online: Dec. 17, 2021

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2021)11-3532-06

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