• Title of article

    Using hyperspectral vegetation indices as a proxy to monitor soil salinity

  • Author/Authors

    Zhang، نويسنده , , Ting-ting and Zeng، نويسنده , , Sheng-Lan and Gao، نويسنده , , Yu and Ouyang، نويسنده , , Zu-Tao and Li، نويسنده , , Bo and Fang، نويسنده , , Chang-Ming and Zhao، نويسنده , , Bin، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    11
  • From page
    1552
  • To page
    1562
  • Abstract
    The spectral bands most sensitive to salt-stress across diverse plants have not yet been defined; therefore, the predictive ability of previous vegetation indices (VIs) may not be satisfied for salinization monitoring. The hyperspectra of seven typical salt-sensitive/halophyte species and their root-zone soil samples were collected to investigate the relationship between vegetation spectra and soil salinity in the Yellow River Delta (YRD) of China. Several VIs were derived from the recorded hyperspectra and their predictive power for salinity was examined. Next, a univariate linear correlogram as well as multivariate partial least square (PLS) regression was employed to investigate the sensitive bands. VIs examination and band investigation confirmed that the responses of the vegetation differed from species to species, which explained the vibrations of the VIs in many study cases. These differences were primarily between salt-sensitive and halophyte plants, with the former consistently having higher sensitivity than the latter. With the exception of soil adjusted vegetation index (SAVI), most VIs were found to have weak relationships with soil salinity (with average R2 of 0.28) and some were not sensitive to all species [e.g. photochemical reflectance index (PRI) and red edge position (REP)], which verified that most currently available VIs are not adequate indicators of salinity for various species. PLS was validated as a more useful tool than linear correlogram for identification of sensitive bands due to well dealing with multicollinear spectral variables. From PLS, wavelengths at 395–410, 483–507, 632–697, 731–762, 812–868, 884–909, and 918–930 nm were determined to be the most sensitive bands. By combining the most sensitive bands in a SAVI form, we finally proposed four soil adjusted salinity indices (SASIs) for all species. Satisfactory relationships were observed between ECe and four SASIs for all species, with largely improved R2 values ranging from 0.50 to 0.58. Our findings indicate the potential to monitor soil salinity with the hyperspectra of salt-sensitive and halophyte plants.
  • Keywords
    halophytes , Salinity stress , Salt-sensitive species , Vegetation reflectance , The Yellow River Delta , Salinity indicator
  • Journal title
    Ecological Indicators
  • Serial Year
    2011
  • Journal title
    Ecological Indicators
  • Record number

    2092174