Modeling land use change based on Remote Sensing, GIS and Algorithm Cellular Automata decision support sys-tem for urban sustainability planning in Quy Nhon, Binh Dinh province central Vietnam

  • Tho Van PhanEmail author
  • Tu Anh Ngo
  • Huyen Thi Nguyen
  • Rute Sousa Matos
  • Trang Thuc Dang
Conference paper
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 54)


A study on the prediction of land use change and its spatial and temporal variability had been studied for Quy Nhon city for a period of 18 years via land change model with approaches based on remote sense images obtained from sensors Landsat and Markov string was used to model land use change. In order to predict land use changes, the study conducted on the creation of mapping land use classification from remote sensing image and to assess the accuracy of the classification result by the Kapa index. Validation will be essential to the prediction of land use changes and future urban expansion, until 2027 and 2035, contributing to the orientation of future land use planning.


Modeling Land use change Quy Nhon city Urban growth 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Tang, Z., et al.:’Forecasting land use change and its environmental impact at a watershed scale’. Journal of environmental management, 35-45 (2005).CrossRefGoogle Scholar
  2. 2.
    Nobre, R., et al.:’Groundwater vulnerability and risk mapping using GIS, modeling and a fuzzy logic tool’. Journal of Contaminant Hydrology, 277-292 (2007).CrossRefGoogle Scholar
  3. 3.
    Chi, V.K., et al., Coastal urban climate resilience planning in Quy Nhon, Vietnam. International Institute for Environment and Development (2015).Google Scholar
  4. 4.
    Aaviksoo, K.:’Simulating vegetation dynamics and land use in a mire landscape using a Markov model’. Landscape and Urban Planning, 129-142 (1995).CrossRefGoogle Scholar
  5. 5.
    Sui, D.Z.:’A fuzzy GIS modeling approach for urban land evaluation’. Computers, environment and urban systems, 101-115 (1992).MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Quynhon UniversityQuynhon cityVietnam
  2. 2.University of Évora - CHAIAÉvoraPortugal
  3. 3.Scene Plus Co. LtdPhu Nhuan District, HCMCVietnam

Personalised recommendations