Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Geoinformatics Based Study of Slums in an Industrial City Kanpur


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

   Subscribe/Renew Journal


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
Subscription Login to verify subscription
User
Notifications
Font Size


Abstract Views: 450

PDF Views: 0




  • Geoinformatics Based Study of Slums in an Industrial City Kanpur

Abstract Views: 450  |  PDF Views: 0

Authors

Jitendra Kumar
Department of Geography, Maharshi Dayanand University, Rohtak, India

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