Predicting Land Changes in River Margin and Urban Areas by Remote Sensing and GIS
Subject Areas : Journal of Radar and Optical Remote Sensing and GIS
ehsan izadi
1
,
Ali Akbar Jamali
2
1 - MSc graduated, Department of RS and GIS, Yazd Branch, Islamic Azad University, Yazd, Iran
2 - Associate Professor, Department of GIS-RS and Watershed Management, Maybod Branch, Islamic Azad University, Yazd, Iran ,
Keywords: Modeling, forecasting, Trend, Changes, Markov,
Abstract :
Today, the rapid growth of the world's urban population, especially in developing countries, hascreated many problems in various fields. Among these, land-use change is of great importance.Modeling and predicting future land-use changes has become increasingly important for urban andenvironmental management and other relevant authorities and researchers. The main purpose of thisstudy is to apply cellular automata (CA) Markov models based on spatial information system tosimulate and predict land-use change. Landsat satellite imagery was prepared during the three periodsof late June 1986, 2001, and 2016. Then land use maps of the study area were obtained by classifyingthe maps. The model derived from the CA Markov was implemented to predict and process and toanalyze land-use changes by 2031. Forecast results showed that from 2016 to 2031, green space, urbanresidential land use increased and the agricultural and open land use declined. This study will generallyshow the decline in open land and agriculture and the expansion of residential and urban areas in 2031,which was caused by the loss of agricultural land and vegetation. The region's economy, based onagricultural and livestock production will face the current productivity situation in 2031.
