In order to monitor the wetland of the Poyang Lake national nature reserve zone, we selected three different seasons TM
image data which were achieved individually in April 23th in 1988, Nov 2nd in 1994, and Jan 1st in 2000. Based on the
band 5, band 4 and band 3of TM image, we divided the land coverage of Poyang Lake national nature reserve zone into
three classes--water field, meadow field and the other land use by rule of maximum likelihood. Using the outcome data
to make the statistical analysis, combining with the GIS overlay function operation, the land coverage changes of the
Poyang Lake national nature reserve zone can be achieved. Clipped by the Poyang Lake national nature reserve zone
boundary, the land coverage changes of Poyang Lake national nature reserve zone in three different years can be
attained. Compared with the different wetland coverage data in year of 1988, 1994, 2000, the Poyang Lake national
nature reserve zone eco-environment can be inferred from it. After analyzing the land coverage changes data, we draw
the conclusion that the effort of Poyang Lake national nature reserve administration bureaucracy has worked well in
certain sense.
KEYWORDS: Data modeling, Geographic information systems, Databases, Geoinformatics, Lead, Data storage, Associative arrays, Computing systems, Remote sensing, Information science
Driving by a happened event, entities vary from one state to another. Based on the rule, this paper analyzed the relations between events of entities and its states, and made an improvement on base state with amendments model. The improved model is named as multi base state with amendments model. The key idea of this method is to build more than one historical base state according to the frequency of event happens and the amount of data updates. And for the state between every historical base state, we merely stored the changed part but did not re-store the unchanged part. It overcomes the weakness of snapshot method which leads a great deal of redundant data, and also overcomes the drawback of base state with amendments method which will need a great amount of complex computation when historical state is rebuild. This model has been successfully applied to organize the spatio-temporal data of GIS in campus real estate information system. It is very convenient to rebuild house historical state.
In the paper, 3S (GIS, GPS, RS) technique is the mainly tools, especial Remote Sensing. In order to get the land use
status, Jian city land use is monitored in the year of 1996, 1999 and 2002. Land use type and attribute data in the year of
1996, 1999 and 2002 are compared to analyze the land use change in two different city zones. Combined by Jian city
socio-economic data, such as population, finance revenue and payout, the classified land use data is constructed a
correlation model on the base of village administration boundary. Land use in 2005 is forecasted by the model. All of
these will support a scientific taking point for proper land use planning and paddy protection. It also offers some worthy
techniques for developing dynamic land use monitoring in more domains.
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