Spectroscopy and Spectral Analysis, Volume. 44, Issue 11, 3287(2024)

Quantitative Prediction and Spatial Distribution of Soil Heavy Metal Zn Based on Spectral Indices

LI Zhi-yuan1 and TIAN An-hong1,2、*
Author Affiliations
  • 1Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, China
  • 2Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
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    References(6)

    [4] [4] Wang F, Gao J, Zha Y. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 136: 73.

    [6] [6] Yi Yunchen, Yao Yinliu, Guo Fengwu, et al. Journal of Hazardous Materials, 2014, 265: 166.

    [13] [13] Rajbanshi J, Bhattacharya S. Journal of Hydrology, 2020, 587: 124935.

    [14] [14] Sun W, Liu S, Zhang X, et al. Science of The Total Environment, 2022, 824: 153766.

    [15] [15] Yin F, Wu M, Liu L, et al. International Journal of Applied Earth Observation and Geoinformation, 2021, 102: 102420.

    [16] [16] Zhang B, Guo B, Zou B, et al. Environmental Pollution, 2022, 300: 118981.

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    LI Zhi-yuan, TIAN An-hong. Quantitative Prediction and Spatial Distribution of Soil Heavy Metal Zn Based on Spectral Indices[J]. Spectroscopy and Spectral Analysis, 2024, 44(11): 3287

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    Paper Information

    Received: Jan. 30, 2024

    Accepted: Jan. 16, 2025

    Published Online: Jan. 16, 2025

    The Author Email: An-hong TIAN (tah@kust.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2024)11-3287-07

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