• DocumentCode
    576733
  • Title

    Comparative study on estimation of nitrogen content in the heterogenious typical steppe using various red edge position extraction techniques

  • Author

    Wei Dandan ; Li Xiaobing ; Wang Hong ; Wang Han ; Wen Wanyu

  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6146
  • Lastpage
    6149
  • Abstract
    This study was conducted in the temperate typical steppe with relatively high species richness in Inner Mongolia. We extracted the red edge position from ground-based spectral data for canopy and leaf using 6 different methods, and analyzed the relationship between the red edge position extracted from canopy spectra and associated nitrogen concentration of canopy. The results showed that the red edge position substantially varied with the extraction methods, as well as the sampling sites (plant species). For nitrogen concentration estimation at the canopy scale, the linear extrapolation method had a relatively high correlation coefficient and the nitrogen concentration estimates at Stipa grandis-dominated sites were slightly better than those of the large sampling sites with multiple dominant plant species.
  • Keywords
    geochemistry; vegetation; Inner Mongolia; Stipa grandis-dominated sites; canopy nitrogen concentration; canopy spectra; ground-based spectral data; heterogenious typical steppe; linear extrapolation method; nitrogen concentration estimation; nitrogen content estimation; red edge position; red edge position extraction techniques; temperate typical steppe; Estimation; Extrapolation; Fitting; Interpolation; Nitrogen; Polynomials; Reflectivity; Glassland; Hyperspectral Remote Sensing; Nitrogen Concentration; Red Edge Position;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352755
  • Filename
    6352755