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Abstract
In recent years significant effort has gone into collecting, processing, and analysing normalized difference vegetation index (NDVI) data derived from the National Oceanic and Atmospheric Administration's (NOAA) 1-km advanced very high resolution radiometer (AVHRR) for environmental applications. The ISODATA clustering procedure has been employed using time-series AVHRR maximum NDVI composites to produce a land cover characteristics data base. This study examines the sensitivity of the ISODATA clustering results to changes in sampling procedures and processing parameters when applied to NOAA NDVI time-series data. The effects of varying the sampling strategy, sampling intensity, clustering parameters, and number of iterations have been evaluated. The ISODATA clustering procedure was most sensitive to variations in sampling intensity and clustering parameters.
