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
Link To Document