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

Abstract

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.