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
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;
Conference_Titel :
Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on
Print_ISBN :
0-7803-8350-8
DOI :
10.1109/WARSD.2003.1295181