A Model for Desertification Evolution Employing GIS with Cellular Automata

Huoping Ding, Jian-ping Chen, Gong-wen Wang
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引用次数: 11

Abstract

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 Bashang 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.
基于元胞自动机的GIS沙漠化演变模型
沙漠化以其发展速度之快、灾害之严重引起了国际学术界的广泛关注。在对不同时间遥感数据进行动态分析的基础上,结合地理信息系统(GIS)、遥感(RS)和全球定位系统(GPS)技术,提出了一种基于元胞自动机的沙漠化模拟模型构建方法。基于ArcGIS软件,利用AML (Arc Macro Language)开发了仿真模型。并将该模型应用于坝上及其邻区沙漠化的时空扩展预测。结果表明,沙漠化时空演变的模拟与预测与实际情况相符,反映了该地区沙漠化的发展状况。
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