ABSTRACT
Land use/cover studies have been a key area to know the changes in the balance of urban and natural resources. Urbanization is directly related to land use/cover in terms of land use pattern, urban space distribution, and social and economic pressure (Aljoufie et al. 2013). Remote sensing and GIS data are useful to study the urban dynamic change and expansion implementation of natural resources management (Boori et al. 2015). Remote sensing and Geographic Information System (GIS) technologies are used to achieve results from large landscape analysis (Shu et al. 2014), urban space structure and fractal shape (Dong et. al. 2007), analysis of urban expansion models and driving forces (Boori et al. 2014), land use survey (Aljoufie et al. 2013), land cover change (Ye et al. 2013), analysis of urban dynamic models (Henriquez et al. 2006), and analysis of farmland change and classification. As population is related to land use and built-up area, earlier studies have shown their correlation analysis. These studies performed by urban
geoscience, human geoscience and economic geoscience scientists are based on subjects such as shape and direction of urban expansion, spatial evolution processes, dynamic mechanisms of urban expansion, transformation of farmland to urban land, and internal differentiation of urban land (Fan et al. 2008, Boori & Amaro 2010). However, no study has reported on the multi-temporal and long timeseries expansion of the built-up area in Samara city.
