Research Papers
Application of Satellite Remote Sensing Data in an Investigation of Land Along a Freeway
Authors:
Liu Xianbin ,
Tianjin University of Science and Technology, Tianjin TEDA, China, 300457
Li Xiumei,
Tianjin University of Science and Technology, Tianjin TEDA, China, 300457
Zhao Xinggui,
Tianjin University of Science and Technology, Tianjin TEDA, China, 300457
Yi Long
Tianjin University of Science and Technology, Tianjin TEDA, China, 300457
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.
How to Cite:
Xianbin, L., Xiumei, L., Xinggui, Z. and Long, Y., 2007. Application of Satellite Remote Sensing Data in an Investigation of Land Along a Freeway. Data Science Journal, 6, pp.S548–S552. DOI: http://doi.org/10.2481/dsj.6.S548
Published on
20 Sep 2007.
Peer Reviewed
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