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Spectroscopy and Spectral Analysis, Volume. 39, Issue 9, 2922(2019)

Quantitative Inversion of Water Quality Parameters in Industrial and Mining Cities from Hyperspectral Remote Sensing

PENG Ling1, MEI Jun-jun1, WANG Na1, XU Su-ning1, LIU Wen-bo1, XING Gu-lian1, and CHEN Qi-hao2
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    [3] [3] Palmer S C J, Kutser T, Hunter P D. Remote Sensing of Environment, 2015, 157: 1.

    [7] [7] Olmanson L G, Brezonik P L, Bauer M E. Remote Sensing of Environment, 2013, 130: 254.

    [8] [8] Brezonik P L, Olmanson L G, Finlay J C, et al. Remote Sensing of Environment, 2015, 157: 199.

    [9] [9] Kutser T, Paavel B, Verpoorter C, et al. Remote Sensing, 2016, 8(6): 497.

    [11] [11] Zabcic N, Rivard B, Ong C, et al. International Journal of Applied Earth Observation and Geoinformation, 2014, 32: 152.

    [12] [12] Rostom N G, Shalaby A A, Issa Y M, et al. The Egyptian Journal of Remote Sensing and Space Science, 2017, 20: S39.

    [14] [14] Van Der Meer F. International Journal of Applied Earth Observation and Geoinformation, 2004, 5(1): 55.

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    PENG Ling, MEI Jun-jun, WANG Na, XU Su-ning, LIU Wen-bo, XING Gu-lian, CHEN Qi-hao. Quantitative Inversion of Water Quality Parameters in Industrial and Mining Cities from Hyperspectral Remote Sensing[J]. Spectroscopy and Spectral Analysis, 2019, 39(9): 2922

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    Paper Information

    Received: Jul. 6, 2018

    Accepted: --

    Published Online: Sep. 28, 2019

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2019)09-2922-07

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology