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Proceedings Paper

Development of a spatio-temporal data model based on events and objects in land reclamation information system
Author(s): Jinshan Hu; Zongyi He; Jianrong Kang; Pengcheng Liu; Xiuqin Wei
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Paper Abstract

The land resource in the mining area has been destroyed badly, therefore to establish a land reclamation information system of mining area based on GIS is of great significance. However, mining land reclamation is a complex systemic project, there are a lot of spatial data and spatial information during the whole reclamation procedure. The spatial information database of land reclamation is a temporal one due to the change of the land resource within the coal mining area. The damaged land is always above the corresponding underground working face of the mine, there are many pieces of destroyed land in the mining area. A piece of reclaiming land area can be acted as one object, On the basis of the analysis of the changing course of the land object in the subsidence region and the advantage of event-based spatio-temporal data model, a spatio-temporal data model based on objects and events was proposed in this paper, this model can be applied to administer land information in the mining area. Meanwhile, the spatial information query and the analytic method were also studied in this paper. The advantage of this model is to connect surface event and underground mining event which cause the land information change in the mining area.

Paper Details

Date Published: 15 October 2009
PDF: 8 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 749231 (15 October 2009); doi: 10.1117/12.838306
Show Author Affiliations
Jinshan Hu, Wuhan Univ. (China)
Xuzhou Normal Univ. (China)
Zongyi He, Wuhan Univ. (China)
Jianrong Kang, Xuzhou Normal Univ. (China)
Pengcheng Liu, Wuhan Univ. (China)
Xiuqin Wei, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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