Title :
Study on LUCC Based on Vector Date Source Using the CA_Markov Model: A Case Study of Changping District, Beijing, China
Author :
Wang, Lin ; Hu, Haifeng ; Zheng, Xinqi ; Deng, Jing ; Ning, Gan
Author_Institution :
Coll. of Min. Eng., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
In the process of land use change modeling with CA-Markov model, data source is a crucial factor for the accuracy of the model. The existing research of CA_Markov usually utilized the remote sensing image as data source, and modeling outcome has been affected by many factors such as the remote-sensing imagery interpretation errors. Therefore, this article adopted the land use vector data of Changping District in 2001 and 2005, simulated land use pattern of Changping District in 2020 with CA-Markov model. Results showed that, the credibility was up to 95% by using vector data as data source.
Keywords :
Markov processes; cellular automata; geophysical image processing; land use planning; remote sensing; CA_Markov model; Changping District; cellular automata; land use change modeling; remote-sensing imagery interpretation errors; vector date source; Accuracy; Automata; Data models; Markov processes; Predictive models; Remote sensing; Support vector machine classification;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5631213
