Paper
5 November 2008 Study on the spatial extension and distribution of industrial land in Tangshan based on RS and GIS
Mingxin Men, Hongyi Pan, Hao Xu, Fen Liu
Author Affiliations +
Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71441I (2008) https://doi.org/10.1117/12.812758
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
The great changes in quantity and distribution of industry land of Tangshan city have taken place with the industrial boosting and shifting of Beijing-Tianjin district, especially the industry transferring toward coastal areas in Hebei Province. Study on the industrial land distribution, spatial pattern and expanding mode will help to establish rational land use planning and control the industrial land scale. RS and GIS were integrated to detect land use change and reveal the increase origin of industry land between 1993 and 2003. The indicators of barycenters transformation and landscape index were computed to present the spatial extension of industrial land in Tangshan city. The result shows that the scale of industrial land increased continuously from 6954.6 hm2 to 8177.6 hm2 by cultivated land transformation. The structure barycenter of industrial land moved 0.68 km westward and 0.24 km northward respectively. With industrial land patch increasing from 108 to 131, fractal dimensions and broken degree increased from 1.049 to 1.058 in ten years, and average patch area decreased from 62.82 hm2 to 55.61 hm2. Finally an industrial land spatial distribution mode was put forward based on the development stage and industrialization levels in Tangshan city.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mingxin Men, Hongyi Pan, Hao Xu, and Fen Liu "Study on the spatial extension and distribution of industrial land in Tangshan based on RS and GIS", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71441I (5 November 2008); https://doi.org/10.1117/12.812758
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KEYWORDS
Fractal analysis

Geographic information systems

Remote sensing

Cements

Data processing

Earth observing sensors

Image processing

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