Progress of the Wyoming Hyperspectral Imagery Pilot Project: analysis of AVIRIS data for rangeland assessment

E. Raymond Hunt Jr.; M. M. Barlow; C. L. Mahelona; W. A. Laycock; Steven J. Heising; R. Peter Smith; J. Foreman

doi:10.1117/12.257181

6 November 1996 Progress of the Wyoming Hyperspectral Imagery Pilot Project: analysis of AVIRIS data for rangeland assessment

E. Raymond Hunt Jr., M. M. Barlow, C. L. Mahelona, W. A. Laycock, Steven J. Heising, R. Peter Smith, J. Foreman

Author Affiliations +

Proceedings Volume 2821, Hyperspectral Remote Sensing and Applications; (1996) https://doi.org/10.1117/12.257181
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Management of semi-arid rangelands in the western United States for sustainability requires objective methods for monitoring large areas; the goal of the Wyoming Hyperspectral Imagery Pilot Project was to determine if hyperspectral remote sensing can provide the capability for rangeland assessment. Airborne Visible-Infrared Imaging Spectrometer (AVIRIS) data obtained during the Geology Group Shoot over the Nature Conservancy's Red Canyon Ranch near Lander, WY, were compared with Landsat Thematic Mapper data for classification of vegetation communities. Using the same training areas, supervised classification from the two sensors were significantly different. The amount of vegetation cover from unconstrained linear spectral unmixing was highly correlated to normalized difference vegetation index. The flight lines were east-west, vegetation on the north side of the image had significantly higher reflectances compared to similar vegetation on the south side of the image, possibly due to differences in the bidirectional reflectance distribution function. These results indicate hyperspectral imagery can provide better data on community composition, but equivalent information on the amount of vegetation. Thus, infrequent collection of AVIRIS data combined with other sensors provides an optimal solution for monitoring rangelands.

Citation Download Citation

E. Raymond Hunt Jr., M. M. Barlow, C. L. Mahelona, W. A. Laycock, Steven J. Heising, R. Peter Smith, and J. Foreman "Progress of the Wyoming Hyperspectral Imagery Pilot Project: analysis of AVIRIS data for rangeland assessment", Proc. SPIE 2821, Hyperspectral Remote Sensing and Applications, (6 November 1996); https://doi.org/10.1117/12.257181

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Vegetation

Hyperspectral imaging

Sensors

Bidirectional reflectance transmission function

Earth observing sensors

Image analysis

Landsat

Show All Keywords

Keywords/Phrases

Search In:

Publication Years