Laser & Optoelectronics Progress, Volume. 55, Issue 1, 13001(2018)

Inversion of Soil Moisture Content Based on Hyperspectral Multi-Scale Decomposition

Cai Lianghong1,2 and Ding Jianli1,2、*
Author Affiliations
  • 1Xinjiang Common University Key Laboratory of Smart City and Environmental Stimulation, College of Resource and Environment Sciences, Xinjiang University, Urumqi, Xinjiang 830046, China
  • 2Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University, Urumqi, Xinjiang 830046, China
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    References(36)

    [4] Muller E, Décamps H. Modeling soil moisture-reflectance[J]. Remote Sensing of Environment, 76, 173-180(2001).

    [20] Shie Q. Introduction to time-frequency and wavelet transforms[M]. London: Prentice Hall(2001).

    [34] Liu P J, Zhang L, Alishir K et al. A method for monitoring soil water contents using satellite remote sensing[J]. Journal of Remote Sensing, 1, 135-138(1997).

    [36] Liu W D, Baret F, Zhang B et al. Extraction of soil moisture information by hyperspectral remote sensing[J]. Acta Pedologica Sinica, 41, 700-706(2004).

    CLP Journals

    [1] Zheng Mandi, Xiong Heigang, Qiao Juanfeng, Liu Jingchao. Remote Sensing Inversion of Soil Organic Matter Based on Broad Band and Narrow Band Comprehensive Spectral Index[J]. Laser & Optoelectronics Progress, 2018, 55(7): 72801

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    Cai Lianghong, Ding Jianli. Inversion of Soil Moisture Content Based on Hyperspectral Multi-Scale Decomposition[J]. Laser & Optoelectronics Progress, 2018, 55(1): 13001

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    Paper Information

    Category: Spectroscopy

    Received: Jul. 18, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Ding Jianli (2187736938@qq.com)

    DOI:10.3788/LOP55.013001

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