Abstract
Landsat digital data is used to map land cover in the Willandra Lakes World Heritage Region in the semi-arid region of New South Wales. An unsupervised classification using a migrating means clustering algorithm followed by a maximum-likelihood classification procedure was found to be the most discriminating method of classifying land cover. The results of applying three change-detection routines to multitemporal data sets of selected sites within the region are presented and discussed.