International Journal of Science, Engineering and Computer Technology

Jitendra Kumar ¹

Affiliations
1 Department of Geography, Maharshi Dayanand University, Rohtak, IN

Abstract

Indian metropolitan cities are experiencing an accelerated pace of growth since independence. 42.6 percent of the urban dwellers are residing in 53 million plus cities. This has created opportunities for the urban planners, professionals and technologists to develop and guide the planned development and management. The increasing demand in urban planning and management has required the correct spatial information which is important for the implementation of planning and developmental activities. The present study demonstrates the role of remote sensing and GIS in generating geo-database for the city analysis at micro level. Kanpur city is selected as study area, which is one of the largest urban agglomerations of Uttar Pradesh million cities. High resolution of Cartosat-1 (PAN image), LISS-IV (MX) satellite, Census Data, Toposheets at scale of 1:50,000, Municipal Corporation map of Kanpur city 2005-06 and Kanpur City Development Plan, 2006 and online Google Earth have been used for meaningful analysis.

Keywords

Geospatial technology, Urban planning, Satellite data, NUIS

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Jitendra Kumar ¹

Affiliations
1 Department of Geography, Maharshi Dayanand University, Rohtak, IN

Abstract

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.

Keywords

Geoinformatics, Slum, Visual Interpretation, Kanpur city

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