Effects of Spectral Transformations on Leaf C:N Ratio Inversion with Hyperspectral Data

  • Run-he, SHI (Data Center, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences) ;
  • Da-fang, ZHUANG (Data Center, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences) ;
  • Qiao-jing, QIAN (LARSIS, Institute of Remote Sensing Applications, Chinese Academy of Sciences) ;
  • Zheng, NIU (LARSIS, Institute of Remote Sensing Applications, Chinese Academy of Sciences)
  • Published : 2003.11.03

Abstract

Leaf C:N ratio is a new factor in the field of biochemical inversion with hyperspectral data. Effects of common-used spectral transformations including log(R), log(1/R), 1/R, etc. from 400nm to 2490nm on its inversion are compared. Results show that their effects on statistical modeling are not apparent. Continuum removal is used on original reflectance in the range of 2030nm to 2220nm, in which exists an apparent absorption peak due to cellulose, lignin, protein, etc. The effect is distinctive and tends to improve the precision of C:N ratio inversion. Further, it is a robust and physically based transformation.

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