Evaluation of Spatiotemporal Dynamics of Simulated Land Use/Cover in China Using a Probabilistic Cellular Automata-Markov Model

被引：18
|
作者：
Chen Xu [1 ,2 ,3 ]
Yu Shi-Xiao [1 ,2 ]
Zhang Ya-Ping [4 ]
机构：
[1] Sun Yat Sen Univ, Dept Ecol, Sch Life Sci, Guangzhou 510275, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, State Key Lab Biocontrol, Guangzhou 510275, Guangdong, Peoples R China
[3] Southwest Forestry Univ, Dept Comp & Informat Sci, Kunming 650224, Peoples R China
[4] Yunnan Normal Univ, Fac Comp Sci & Informat Technol, Kunming 650032, Peoples R China
来源：
PEDOSPHERE | 2013年 / 23卷 / 02期
基金：
中国国家自然科学基金;
关键词：
classification image; fuzzy rule-based classification; normalized difference vegetation index; remote sensing; DIFFERENCE VEGETATION INDEX; SPATIAL-PATTERN; AVHRR DATA; CLASSIFICATION; COVER; NDVI;
D O I：
10.1016/S1002-0160(13)60013-2
中图分类号：
S15 [土壤学];
学科分类号：
0903 ; 090301 ;
摘要：
Using the fuzzy rule-based classification method, normalized difference vegetation index (NDVI) images acquired from 1982 to 1998 were classified into seventeen phases. Based on these classification images, a probabilistic cellular automata-Markov Chain model was developed and used to simulate a land cover scenario of China for the year 2014. Spatiotemporal dynamics of land use/cover in China from 1982 to 2014 were then analyzed and evaluated. The results showed that the change trends of land cover type from 1998 to 2014 would be contrary to those from 1982 to 1998. In particular, forestland and grassland areas decreased by 1.56% and 1.46%, respectively, from 1982 to 1998, and should increase by 1.5% and 2.3% from 1998 to 2014, respectively.
引用
收藏
页码：243 / 255
页数：13
相关论文
共 50 条
  • [11] Model of Land Cover Change Prediction in West Java']Java Using Cellular Automata-Markov Chain (CA-MC)
    Virtriana, Riantini
    Sumarto, Irawan
    Deliar, Albertus
    Pasaribu, Udjianna S.
    Taufik, Moh.
    4TH INTERNATIONAL SYMPOSIUM ON EARTHQUAKE AND DISASTER MITIGATION 2014 (ISEDM 2014), 2015, 1658
  • [12] Land Use and Land Cover Change Monitoring and Prediction of a UNESCO World Heritage Site: Kaziranga Eco-Sensitive Zone Using Cellular Automata-Markov Model
    Nath, Nityaranjan
    Sahariah, Dhrubajyoti
    Meraj, Gowhar
    Debnath, Jatan
    Kumar, Pankaj
    Lahon, Durlov
    Chand, Kesar
    Farooq, Majid
    Chandan, Pankaj
    Singh, Suraj Kumar
    Kanga, Shruti
    LAND, 2023, 12 (01)
  • [13] Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model
    Gharaibeh, Anne
    Shaamala, Abdulrazzaq
    Obeidat, Rasha
    Al-Kofahi, Salman
    HELIYON, 2020, 6 (09)
  • [14] Monitoring and Modeling of Spatiotemporal Urban Expansion and Land-Use/Land-Cover Change Using Integrated Markov Chain Cellular Automata Model
    Rimal, Bhagawat
    Zhang, Lifu
    Keshtkar, Hamidreza
    Wang, Nan
    Lin, Yi
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 6 (09):
  • [15] Scenario-Based Land Use and Land Cover Change Detection and Prediction Using the Cellular Automata-Markov Model in the Gumara Watershed, Upper Blue Nile Basin, Ethiopia
    Belay, Haile
    Melesse, Assefa M.
    Tegegne, Getachew
    LAND, 2024, 13 (03)
  • [16] Scenario-based simulation of land use in Yingtan (Jiangxi Province, China) using an integrated genetic algorithm-cellular automata-Markov model
    Ying-cong Ye
    Li-hua Kuang
    Xiao-min Zhao
    Xi Guo
    Environmental Science and Pollution Research, 2020, 27 : 30390 - 30404
  • [17] Scenario-based simulation of land use in Yingtan (Jiangxi Province, China) using an integrated genetic algorithm-cellular automata-Markov model
    Ye, Ying-cong
    Kuang, Li-hua
    Zhao, Xiao-min
    Guo, Xi
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (24) : 30390 - 30404
  • [18] Land Use/Land Cover Dynamics and Modeling of Urban Land Expansion by the Integration of Cellular Automata and Markov Chain
    Rimal, Bhagawat
    Zhang, Lifu
    Keshtkar, Hamidreza
    Haack, Barry N.
    Rijal, Sushila
    Zhang, Peng
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2018, 7 (04):
  • [19] Spatio-temporal prediction of land use and land cover change in Bahi (Manyoni) Catchment, Tanzania, using multilayer perceptron neural network and cellular automata-Markov chain model
    Hersi, Naima A. M.
    Mulungu, Deogratias M. M.
    Nobert, Joel
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (01)
  • [20] Spatio-temporal prediction of land use and land cover change in Bahi (Manyoni) Catchment, Tanzania, using multilayer perceptron neural network and cellular automata-Markov chain model
    Naima A. M. Hersi
    Deogratias M. M. Mulungu
    Joel Nobert
    Environmental Monitoring and Assessment, 2024, 196
12345