A quantitative analysis of photometric data from aerial photographs for vegetation survey

This paper describes the application of quantitative density analysis to black and white aerial photographs for vegetation survey using a Quantimet 720 image analyser. The photometric data are analysed using both a supervised and an unsupervised classification strategy. Floristic data collected from an independent ground survey, are used to categorise those vegetation classes of interest against which the photometric data classifications are assessed. The preliminary results obtained suggest that broad classes of vegetation types may be distinguished automatically from their grey scale distribution patterns.