Cellular Automata and Markov Chain Based Urban Growth Prediction

Remote sensing and Geographic Information System (GIS); plays a vital role for studying Land Use Cover (LULC) identifying the main factors useful outcomes. Assessment of urban growth pattern is extremely essential as sprawl seen one potential threats planning. The project has been carried out classification Gandhinagar district Gujarat state. city experienced wide change in LULC last few decades. It located at 23.2156° N & 72.6369° E Gujarat. mapping was using LANDSAT Multispectral, TM, ETM+, OLI/TIRS images years 1972, 1977, 1987, 1994, 2000, 2008, 2015 2019. Landsat data covers Gandhinagar’s vegetation, Water Bodies, Open Area, Agriculture, Settlement. area interest generated from digitized boundary district. objective this to generate different method remotely sensed LANDSAT. In study Supervised used level 1 classification. done on ERDAS Imagine 2014 semi-automatic which includes several classes like Settlement, Vegetation, etc. Moreover, after new thing i.e. accuracy assessment necessary do accurate result. result reveals an increasing decreasing trend use cover respectively.