Title :
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
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;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.117
