COMPUTERIZED CLASSIFICATION OF MEDITERRANEAN VEGETATION USING PANCHROMATIC AERIAL PHOTOGRAPHS

Historical aerial photographs are an important source for data on medi um- to long-term (10 - 50 yr) vegetation changes. Older photographs ar e panchromatic, and manual interpretation has traditionally been used to derive vegetation data from such photographs. We present a method f or computerized analysis of panchromatic aerial photographs, which ena bles one to create high resolution, accurate vegetation maps. Our appr oach is exemplified using two aerial photographs (from 1964 and 1992) of a test area on Mt. Meron, Israel. Spatial resolution (pixel size) o f the gee-rectified photos was 0.30 m and spatial accuracy (RMS error) ca. 1 m. An illumination adjustment prior to classification was found to be essential in reducing misclassification error rates. Two classi fication approaches were employed: a standard maximum-likelihood super vised classifier, and a modification of a supervised classification, w hich takes into account spectral properties of individual pixels as we ll as their neighbourhood characteristics. Accuracy of the maximum lik elihood classification was 81 % in the 1992 image and 54 % in the 1964 image. The neighbour classifier increased accuracy to 89 % and 82 % r espectively. The overall results suggest that computerized analysis of sequences of panchromatic aerial photographs may serve as a valuable tool for the quantification of medium-term vegetation changes.