Land Cover Type Characterisation and Change from AVIRIS Data


Georgia Silvera


My initial work compared results of two spectral analyses- a spectral angle mapping (SAM) and a linear spectral unmixing algorithm (SMA)-applied to an Airborne Visible/ Infrared Imaging Spectrometer (AVIRIS) image for the purpose of identifying the spatial pattern in an urban landscape in the Santa Monica Mountains area.

My work at the CEO is an expansion of this work and will include:

  1. developing an urban AVIRIS imagery data-set
  2. developing an urban spectral library
  3. applying SAM and SMA techniques to urban development issues, particularly land cover classification and land cover/use change detection.

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18 January 2002