Manoj Kumar|Rashmi Singh|Ram Pravesh|Pankaj Kumar|Dinesh Kumar Tripathi|Netrananda Sahu
Urban Growth Dynamics and Modelling Using Remote Sensing Data and Multivariate Statistical Techniques
University of Delhi|University of Delhi|Kumaun University|University of Delhi|University of Delhi
article sprawl area impervious surfaces spatial temporal variability studied pune city period 19 years ie 19922011statistical techniques image classification approach adopted quantify urban sprawl spatial temporal characteristicsfor purpose satellite images obtained various sensors vizlandsat thematic mapper landsat enhanced thematic mapper plusto establish relationship urban sprawl causative factors multivariate statistical technique usedthe determinants causal factors urban sprawl population population density population density workforce engaged secondary tertiary sectors road density gender gap literacy collectively explain 9309 variation urban growththe result also depicts incessant growth builtup area pune city surpassed rate population growthfrom 1992 2011 population region grew 7540 amount builtup land grew 2273 ie three times rate population growthto understand future urban growth pune city foresight approach developed allows longterm projectionsthis depicts year 2051 builtup area municipal limits would rise 21227 sqkm may nearly 500more 2011 14150 sqkmthe vegetative areas open spaces areas around highways expected become major targets urban sprawl due increase pressure land