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Proceedings Paper

A hierarchical spatio-temporal data model for dynamic monitoring of land use
Author(s): Hao Wang; Yaolin Liu
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Paper Abstract

Dynamic monitoring of land use is a perennial and persistent process now in Shanghai. Therefore, the cumulated amount of monitoring data will be very large. It is an exigent problem how to manage and use this data effectively. The key issue is finding a suitable spatio-temporal data model that must take into account space, time and attribute factor adequately. In dynamic monitoring of land use, it is change that is of direct interest. With analyzing the feature of land use dynamic monitoring and the shortage of some spatio-temporal data models when they are used in the field, this paper proposes a Hierarchical Spatio-Temporal Data Model (HSDM) that stores elements of change and makes these available for direct query and analysis.

Paper Details

Date Published: 26 July 2007
PDF: 10 pages
Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 675313 (26 July 2007); doi: 10.1117/12.761768
Show Author Affiliations
Hao Wang, Wuhan Univ. (China)
Shanghai Municipal Housing, Land and Resource Administration Information Ctr. (China)
Yaolin Liu, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6753:
Geoinformatics 2007: Geospatial Information Science
Jingming Chen; Yingxia Pu, Editor(s)

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