Mapping Canadian boreal forest vegetation using pigment and water absorption features derived from the AVIRIS sensor

  title={Mapping Canadian boreal forest vegetation using pigment and water absorption features derived from the AVIRIS sensor},
  author={David A. Fuentes and John A. Gamon and Hong-lie Qiu and Daniel A. Sims and Dar A. Roberts},
  journal={Journal of Geophysical Research},
Using imagery of the Canadian boreal forest, we explored the ability of the Airborne Visible Infrared Imaging Spectrometer (AVIRIS) to map vegetation type by taking advantage of pigment and water absorption features. Two techniques were exploited. In the first classification routine, laboratory-acquired leaf spectra representing different "pigment classes" were used in a spectral unmixing procedure to map the relative abundance of pigments in the landscape. The resulting images were then used… 

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