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Proceedings Paper

Urban land intensified utilization assessment based on artificial neural networks: a case of Lanzhou City
Author(s): Pei-ji Shi; Ji-ping Gong
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Paper Abstract

Land intensified utilization is an important part of land utilization research. Using the artificial neural network model (ANN) to evaluate a city's level of land utilization intensity, it will eliminate the negative impact of subjective factor which is used to assess and complex calculate. As a result, the assessment results would be more scientific and objectively. Based on intensity of land investment, land utilization intensity and land utilization efficiency, an intensive land conservation evaluation system is established with application of status of Lanzhou City's urban land. After training by testing data, BP artificial neural network was applied to evaluate the level of intensified utilization form 1988-2008 in Lanzhou. The results shown that the urban land utilization of Lanzhou is on the upward trend and that can be divided into three categories: low, moderate and intensive.

Paper Details

Date Published: 28 October 2011
PDF: 5 pages
Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051V (28 October 2011); doi: 10.1117/12.905837
Show Author Affiliations
Pei-ji Shi, Northwest Normal Univ. (China)
Ji-ping Gong, Northwest Normal Univ. (China)


Published in SPIE Proceedings Vol. 8205:
2011 International Conference on Photonics, 3D-Imaging, and Visualization
Egui Zhu, Editor(s)

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