Urban Growth Analyses Using Spatial and Temporal Data

Urban growth identification, quantification, and the knowledge of rate and trends of growth would help in regional planning with better infrastructure in environmentally sound way. This requires analyses of spatial and temporal data, which can be done with the help of spatial and temporal technologies such as Remote Sensing, Geographic Information System (GIS) and Global Positioning System (GPS). This paper focuses on urban growth pattern analyses being carried out for the radial and linear sprawl considering Bangalore – Mysore highway. Various GIS layers such as built-up theme along the highway, road network, city boundary etc. were generated using collateral data such as the Survey of India toposheet, etc. Spatial changes in built-up area and the pattern of sprawl were studied using GIS. Further this analysis was complemented with the computation of Shannon’s entropy that helped in identifying prevalent sprawl zones and rate of growth, which also helped in delineating potential sprawl locations. This study revealed that the Bangalore North and South taluks contributed mainly to the sprawl with 559% increase in built-up area and high degree of dispersion. The Mysore and Srirangapatna region showed 128% change in built-up area and a high potential for sprawl with slightly high dispersion. The degree of sprawl was found to be directly proportional to the distances from the cities.