A Model for Desertification Evolution Employing GIS with Cellular Automata

被引：9
|
作者：
Ding Huo-ping [1 ]
Chen Jian-ping [1 ]
Wang Gong-wen [1 ]
机构：
[1] China Univ Geosci Beijing, Key Lab Res & Explorat Informat Land Resources, Beijing, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON COMPUTER MODELING AND SIMULATION, PROCEEDINGS | 2009年
关键词：
Desertification; GIS; remote sensing; cellular automata; dynamic simuulation model;
D O I：
10.1109/ICCMS.2009.39
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Desertification causes extensive concern of international academia for its development speed and serious calamity. Based on dynamic analysis of remote sensing data in different time and relationships between desertification and drive factors, a method how to build up desertification simulation model based on cellular automata with the help of GIS(Geographic Information System), RS(Remote Sensing) and GPS(Global Positioning System) technologies was put forward. The simulation model was developed with AML (Arc Macro Language) based on ArcGIS software. Then the model was applied to predict spatial-temporal desertification expansion in Basbang and its neighboring areas in Hebei province. Results show that the simulation and prediction of spatial-temporal evolution of desertification tally with the factual situation, which reflect the desertification development situation in the areas.
引用
收藏
页码：324 / 328
页数：5
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