Winter crops classification using satellite data

A technique for winter crops classification using satellite data is suggested. The technique is based on textural measures computed using the gray level difference vector approach (GLDV). The present study compares classification results derived by visual analyses of an area from a low-flying plane and from the GLDV approach using satellite data. It was found that the GLDV approach produces an accuracy equivalent to those obtained from visual interpretation