• Spectroscopy and Spectral Analysis
  • Vol. 38, Issue 1, 171 (2018)
QI Hai-jun1、2、*, Karnieli Arnon2, and LI Shao-wen1
Author Affiliations
  • 1[in Chinese]
  • 2The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boger Campus 84990, Israel
  • show less
    DOI: 10.3964/j.issn.1000-0593(2018)01-0171-05 Cite this Article
    QI Hai-jun, Karnieli Arnon, LI Shao-wen. Predicting Soil Available Nitrogen with Field Spectra Corrected by Y-Gradient General Least Square Weighting[J]. Spectroscopy and Spectral Analysis, 2018, 38(1): 171 Copy Citation Text show less
    References

    [1] Paz-Kagan T, Shachak M, Zaady E, et al. Geoderma, 2014, s230-231(7): 171.

    [3] Shao Y, He Y. Soil Research, 2011, 49(2): 166.

    [4] Ji W, Shi Z, Huang J, et al. PLoS ONE, 2014, 9(8): e105708.

    [5] Kodaira M, Shibusawa S. Geoderma, 2013, 199(4): 64.

    [6] Liu X, Guo Y, Wang Q L, et al. Proc. SPIE, 2013, 8910: 891020(doi: 10.1117/12.2035010).

    [7] Ji W, Viscarra Rossel R A, Shi Z. European Journal of Soil Science, 2015, 66(3): 555.

    [8] Wold S, Antti H, Lindgren F, et al. Chemometrics and Intelligent Laboratory Systems, 1998, 44(1): 175.

    [9] Roger J M, Chauchard F, Bellon-Maurel V. Chemometrics and Intelligent Laboratory Systems, 2003, 66(2): 191.

    [10] Martens H, Hy M, Wise B M, et al. Journal of Chemometrics, 2003, 17(3): 153.

    [11] Liu Y, Jiang Q, Shi T, et al. Acta Agriculturae Scandinavica Section B-Soil and Plant Science, 2014, 64(3): 267.

    [12] Jiang Q, Chen Y, Guo L, et al. Remote Sensing, 2016, 8(9): 755.

    [13] Paz-Kagan T, Zaady E, Salbach C, et al. Remote Sensing, 2015, 7(11): 15748.

    [14] Zorzetti B M, Shaver J M, Harynuk J J. Analytica Chimica Acta, 2011, 694(1): 31.

    [15] Zhong P, Xu Y, Zhao Y. Neural Computing and Applications, 2012, 21(2): 399.

    QI Hai-jun, Karnieli Arnon, LI Shao-wen. Predicting Soil Available Nitrogen with Field Spectra Corrected by Y-Gradient General Least Square Weighting[J]. Spectroscopy and Spectral Analysis, 2018, 38(1): 171
    Download Citation