DocumentCode
1520336
Title
An Environmental Normal of Vegetation Vigour for the Northern Great Plains
Author
Piwowar, Joseph M.
Author_Institution
Dept. of Geogr., Univ. of Regina, Regina, SK, Canada
Volume
4
Issue
2
fYear
2011
fDate
6/1/2011 12:00:00 AM
Firstpage
292
Lastpage
302
Abstract
Normalized difference vegetation index (NDVI) data from the Advanced Very High Resolution Radiometer (AVHRR) sensor on board the National Oceanic and Atmospheric Administration (NOAA) satellites were used to create a spatially detailed baseline of vegetation conditions in the northern Great Plains of North America. An environmental normal of vegetation vigour was created from NDVI means and standard deviations calculated over 22 years for each 10-day period during the growing season. Significant vegetation vigour anomalies - differences from the normal - were subsequently identified and associated with concurrent temperature and precipitation data. Growing season vegetation vigour anomalies were found to be most dependent on weather patterns from the previous spring, and in some cases, from the preceding summer. Regions with the densest and most diverse vegetation covers were impacted the most by temperature and precipitation. Statistically significant increases in vegetation vigour over the 22-year period were measured across the entire study area, with the exception of the vegetation communities with the sparsest ground covers. This increase was matched by a similarly significant rise in annual NDVI variability for all of the phenologies. The changes in vegetative cover leading to the increase in NDVI values may be related to warmer winter temperatures.
Keywords
climatology; remote sensing; vegetation; AVHRR sensor; Advanced Very High Resolution Radiometer; NDVI data; NOAA satellite; Northern Great Plains; environmental normal of vegetation vigour; growing season vegetation vigour anomaly; normalized difference vegetation index; time 16 day; time 22 year; weather pattern; Meteorology; Temperature distribution; Time series analysis; Vegetation; Vegetation mapping; AVHRR; NDVI; climate change; mixed-grass prairie; multi-temporal analysis;
fLanguage
English
Journal_Title
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Publisher
ieee
ISSN
1939-1404
Type
jour
DOI
10.1109/JSTARS.2010.2049988
Filename
5491030
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