Geoinformatics Based Study of Slums in an Industrial City Kanpur

Pages:56-59
Jitendra Kumar (Senior Research Fellow, Department of Geography, Maharshi Dayanand University, Rohtak)

Present study attempt to identify and mapping of slums using the Carosat-1(PAN image) and LISS-IV (MX) satellite images. The assessment of slum pockets in GIS environment supported by ground verification. The slums are identified on the basis of visual interpretation and is captured manually using on-screen digitization method. Finally, the database is created mapped with the help of Arc GIS 9.3. The area which are highly congested, small sized dwelling units with plastic/tin/mud roof usually square or rectangle temporary structure mostly located in marginal areas such as along line, drainage network, inner core areas and near industrial set-up are identified as slums. Study demonstrates the capability of high resolution satellite data to detect and delineate the slums in Kanpur city.