Abstract
Because remote sensing data can offer information on the geographical landscape of the earth's surface, these data can be widely used in researching types of land and monitoring vegetation. In this paper, we discuss how to extract land types and vegetation from remote sensing data using the method of Non-Supervised Classification. These data provide the means to study types of soil and vegetation along a freeway.