LI Xiao juan 1, YIN Lian wang 2, CUI Wei hong 2. Spatio-Temporal Data Model for Landuse Monitoring[J]. Journal of Remote Sensing, 2002, (5): 370-375. DOI: 10.11834/jrs.20020509.
Traditional data model takes the geometric object as the modeling target and results directly in decomposing geographic phenomena into a series of objects. Furthermore
the temporal data and spatial data are stored separately. All of those restrict the development of GIS and resources monitoring. Feature based spatio temporal data model can support the next generation of GIS effectively. In this paper
based on the landuse monitoing research project of the five year plan of our country
we propose a new spatio temporal data model based on the states of the changing feature (SCFSTDM) in order to serve for integrating geographic phenomena and geographic information as well as applying object oriented analysis method to support spatio temporal analysis
simulation and data sharing. \;Finally
we develop a prototype of the temporal landuse information system in which there is a spatio temporal database based on the feature. With this system
we can query states of the feature instance directly
for example
to query the states and to play the developing process of a feature instance