Land Use Change of China Based on Fuzzy Classification and Markov Model

Author

Xu, Chen ; Yaping, Zhang

Author_Institution

Comput. & Inf. Sci. Dept., Southwest Forestry Univ., Kunming, China

fYear

2011

fDate

8-9 Oct. 2011

Firstpage

426

Lastpage

430

Abstract

Land use change plays vital roles in regional, social and economic development. Based on three phases of NDVI and climate images acquired in 1982, 1990 and 1998, and fuzzy rule-based classification, this paper took China as a case study to analyze spatial change of land use by Markov model and transformation matrix. The research results indicate that the change of land use in China is getting bigger, and the change tendency will keep relatively stable in the future. Especially, maximum change of land use comes from grassland and unable land, and only forestland and grassland keep a decreasing tendency.

Keywords

vegetation; vegetation mapping; AD 1982; AD 1990; AD 1998; China; Markov model; climate images; economic development; fuzzy rule-based classification; land use change; normalized difference vegetation index; regional development; social development; transformation matrix; Accuracy; Biological system modeling; Educational institutions; Humans; Markov processes; Probability; Remote sensing; Markov model; fuzzy classification; land use;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on

Conference_Location

Sanya

Print_ISBN

978-1-4577-1788-8

Type

conf

DOI

10.1109/KAM.2011.117

Filename

6137672