A Model for Desertification Evolution Employing GIS with Cellular Automata

Author

Ding Huo-ping ; Chen Jian-ping ; Wang Gong-wen

Author_Institution

Key Lab. of Res. & Exploration Inf. of Land Resources, China Univ. of Geosci. (Beijing), Beijing

fYear

2009

fDate

20-22 Feb. 2009

Firstpage

324

Lastpage

328

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.

Keywords

Global Positioning System; cellular automata; digital simulation; geographic information systems; geophysical signal processing; image processing; remote sensing; AML; Arc Macro Language; ArcGIS software; GPS; cellular automata; desertification evolution; dynamic analysis; geographic information system; global positioning system; remote sensing; simulation model; Analytical models; Computational modeling; Computerized monitoring; Geographic Information Systems; Geology; Geoscience; Global Positioning System; Predictive models; Remote sensing; Statistical analysis; Desertification; GI; cellular automata; dynamic simuulation model; remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Modeling and Simulation, 2009. ICCMS '09. International Conference on

Conference_Location

Macau

Print_ISBN

978-0-7695-3562-3

Electronic_ISBN

978-1-4244-3561-6

Type

conf

DOI

10.1109/ICCMS.2009.39

Filename

4797409