Change Detection of Land Use/Land Cover of Sardar Sorovar Command Area, India, Using Arc-Gis Tools

Abstract

The accelerated advancement of urbanization in India is one of the prime alarming concerns for the country. For the better and promising urban development of the nation, this cause is taken into consideration by the town planners. The relentless advancement of the urban sector has inferred in acute variations land use/land cover. Focus on the wide use of remotely sensed data and geographical information systems (GIS) has commenced along with the initiation of land use/land cover variations. The current study examines the built-up growth and headway in Sardar Sarovar Singh Command Area, Gujarat, utilizing data from IRS satellite for the years 1992, 2000, 2008 and 2016. The four satellite images of 15 April 1992 to 1 April 2016, path row 148/44, were acquired from the USGS website. The technique applied to classify the land use/land cover was unsupervised classification method. The several layers pertaining to various land uses recognized from remotely sensed data were adopted through GIS. After the review and analysis of the data, it is resolved that there is a rigorous hike in the urban division and the green cover within the study area extent is abbreviated.