Application of Satellite Remote Sensing Data in an Investigation of Land Along a Freeway

Xianbin Liu, Xiumei Li, Xinggui Zhao, Long Yi
2007 Data Science Journal  
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.
doi:10.2481/dsj.6.s548 fatcat:kra4a7goejdcziqglrms5br7ca