Hometop nav spacerAbout ARStop nav spacerHelptop nav spacerContact Ustop nav spacerEn Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
United States Department of Agriculture Agricultural Research Service
Search
 
 
 
National Programs
International Programs
Find Research Projects
The Research Enterprise
Office of Scientific Quality Review
Research Initiatives
 

Title: LAND COVER ANALYSIS AND CHANGE DETECTION OF WYOMING RANGELANDS

Authors
item Hunt, Earle
item Miyake, Brian - UNIVERSITY OF WYOMING

Submitted to: Society for Range Management
Publication Type: Abstract Only
Publication Acceptance Date: February 13, 2000
Publication Date: February 13, 2000

Technical Abstract: The Landsat Multi-spectral Scanner (MSS) acquired data from Landsat 1 in 1972 and ended in the mid 1990's with data from Landsat 5. Images from the 1970's, 1980's and 1990's are available from the USGS EROS Data Center as the North American Land Characterization Dataset. Standard change detection techniques in remote sensing can not be used for semi-arid regions because of the high year-to-year variability in precipitation. We developed a technique using the Advanced Very High Resolution Radiometer (AVHRR) in which the Normalized Difference Vegetation Index (NDVI) is adjusted for grassland and sagebrush rangelands based on the amount and timing of rainfall. This technique was applied to 15 MSS scenes covering most of Wyoming. We found the vast majority of rangelands had either improved or remained the same over the twenty-year period. Areas that decreased were usually associated with wildfires. Furthermore, we found riparian zones (defined as a swath 10 pixels around rivers and creeks from a vector GIS coverage) had to be separated from the above analyses; NDVI of most riparian areas either increased or remained the same over the twenty-year period. Since NDVI is related to the amount of vegetation and not the species present, these data can not be used for assessment of condition and trend. However, these data can be used to prioritize field checks and serve as a baseline for more detailed studies with current and future sensors.

   
 
 
Last Modified: 05/23/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House