Time Series Remote Sensing of Landscape-Vegetation Interactions in the Southern Great Plains

tion. An index of interannual variability for natural and manThe southern Great Plains may be one of the first areas in the aged LULC types was developed using phase components United States to show significant and detectable changes in derived from harmonic analysis of a nine-year (1989–1997) vegetation cover as a result of global climate change. The Advanced Very High Resolution Radiometer (AVHRR) normalobjective of this project was to examine interactions between ized difference vegetation index (NDVI) time-series dataset. landscape environmental factors and interannual variability Landscape characteristics used include land-cover type, soil of land-cover types in this region. Harmonic analysis of a nine- texture, and available water capacity. year time series (1989–1997) of NOAA Advanced Very High

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