Machine Learning Based Land Use Land Change Classification

Abstract

Urban sprawl is a worldwide phenomenon but the rate of urbanization is very fast in developing country like India. It is mainly driven by unorganized growth, increased immigration, rapidly increasing population. The implementation of capitalistic economy has resulted in the internal reformation of agricultural land use from crop production to industries and commercial avenues. Urban expansion and pattern could be depicted by spatial and temporal remote sensing satellite data. In the present study, an attempt has been made to investigate the effect of Urban Sprawl on Land use / Land cover change of the year 1995, 2000, 2006 and 2010 for Jaipur city, one of the planned cities in India. The task comprises of steps: delineation of urban area for consecutive years, comparison between urban areas, identification of the urban sprawl pattern, recognition of magnitude and direction of changing sprawl and its effect on land use / land cover. The pattern of urban sprawl is identified using Remote Sensing technique. The investigation resembles noteworthy change in the spatio-temporal urban sprawl pattern, direction, magnitude and effects on Land use/ Land cover.