Abstract
Abstract A goodness-of-fit solution method for spectral mixture modelling is applied to Landsat Multi-Spectral Scanner (MSS) data. The modelled pixel proportions are compared against independent validation data obtained by aerial photographic interpretation. A goodness-of-fit parameter is found to provide an objective means of investigating the impact of both the number of ground-cover components and spatial averaging on the mixture solution.
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