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Proceedings Paper

Investigation of surface ecological environment by remote sensing in semi-arid and arid regions in the north of Shaanxi province
Author(s): Anlin Liu; Dengke Li; Fengdong Deng; Jinghong Zhang; Jin Dai; Jing Zhuo
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Paper Abstract

In the semi-arid and arid region in northern Shaanxi Province, 11 TM images were selected as information source. On the platform of ERDAS IMAGINE, based on the classification signatures established according to the training fields by in situ surface investigations and with the support of various information from GIS, the computer-supervised classification was used to extensively investigate the surface eco-environmental factors, such as the vegetation, land use type and vegetation coverage. The total area covers 84000 Km2. The average precision of classification is 83.78%, Kappa coefficient 0.819. Thematic maps have been compiled at the scale of 1:100,000. The features of surface eco-environment in this area are briefly analyzed on the basis of the remote sensing investigation results.

Paper Details

Date Published: 14 July 2003
PDF: 9 pages
Proc. SPIE 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, (14 July 2003); doi: 10.1117/12.466613
Show Author Affiliations
Anlin Liu, Shaanxi Remote Sensing Information Ctr. for Agriculture (China)
Dengke Li, Shaanxi Remote Sensing Information Ctr. for Agriculture (China)
Fengdong Deng, Shaanxi Remote Sensing Information Ctr. for Agriculture (China)
Jinghong Zhang, Shaanxi Remote Sensing Information Ctr. for Agriculture (China)
Jin Dai, Shaanxi Remote Sensing Information Ctr. for Agriculture (China)
Jing Zhuo, Shaanxi Remote Sensing Information Ctr. for Agriculture (China)


Published in SPIE Proceedings Vol. 4890:
Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land
Xiaoling Pan; Wei Gao; Michael H. Glantz; Yoshiaki Honda, Editor(s)

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