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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
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Li Xiumei,

Tianjin University of Science and Technology, Tianjin TEDA, China, 300457
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Zhao Xinggui,

Tianjin University of Science and Technology, Tianjin TEDA, China, 300457
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Yi Long

Tianjin University of Science and Technology, Tianjin TEDA, China, 300457
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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.
DOI: https://doi.org/10.2481/dsj.6.S548
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
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Published on 20 Sep 2007.
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