The application of Satellite remote sensing data in The land Investigationg along the Freeway

Liu Xianbin, Li Xiumei, Zhao Xinggui, Tianjin University of Science and Technology

As the remote sensing data can offer the information on the geographical landscape information of the earth’s surface in time, they would be widely used in the researching on the types of the land and the monitoring of the vegetation. In this paper, we discuss how to extract the type of land and the vegetation from the remote sensing data by the method of the Non-Supervised Classification. They provide the scientific gist with the studying of the type of the soil and the vegetation along the freeway.

Key words: remote sensing; Non-Supervised Classification; interpretation