• DocumentCode
    2936835
  • Title

    Distinguishing vegetation land covers using hyperspectral imagery

  • Author

    Cipar, John ; Cooley, Thomas ; Lockwood, Ronald

  • Author_Institution
    Space Vehicles Directorate, Air Force Res. Lab., Hanscom AFB, MA, USA
  • fYear
    2003
  • fDate
    27-28 Oct. 2003
  • Firstpage
    108
  • Lastpage
    112
  • Abstract
    We use AVIRIS data collected at Fort A. P. Hill, Virginia, to evaluate how well airborne hyperspectral imagery can be used to distinguish vegetation land covers. Fort A. P. Hill is located in east-central Virginia and is heavily forested with a mix of deciduous and coniferous species native to the mid-Atlantic region. The location and extent of the forest species is documented in a land cover database compiled by the Fort for planning and resource protection purposes. The AVIRIS data set consists of several low-altitude (3.7-m GSD) flight lines on two dates: November 1999 and September 2001. Our goal is to characterize the both the natural variability of vegetation land covers using mathematical and biophysical metrics and to assess differences between land covers for classification purposes.
  • Keywords
    forestry; geophysical signal processing; image classification; vegetation mapping; AD 1999 11; AD 2001 09; AVIRIS data; Fort A. P. Hill; USA; airborne hyperspectral imagery; biophysical metrics; east central Virginia; forest species documentation; land cover database; mid-Atlantic region; vegetation land covers; Hyperspectral imaging; Hyperspectral sensors; Infrared imaging; Infrared spectra; Laboratories; Layout; Reflectivity; Space vehicles; Spectroscopy; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-8350-8
  • Type

    conf

  • DOI
    10.1109/WARSD.2003.1295181
  • Filename
    1295181