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A platform for research: civil engineering, architecture and urbanism
Monitoring Urban Sprawl Using Geo-Spatial Technology: A Case Study of Kanpur City, India
In India, cities have been experiencing rapid urbanization from the last decade. Rapid land transformation activities have been taking place in and around the city areas. This type of anthropogenic activity disrupts the ecological equilibrium. The present study has used remotely sensed data Landsat 5 TM and Landsat 8 OLI for the land use and land cover (LULC) classification and to analyze urban expansions that are the result of the dynamic processes related to landscape modification. The main objective of this work was analysis and identification of urban sprawl in Kanpur city, India. The built-up classification has been the quantification using satellite imageries of 2004, 2011 and 2021 data over a period of 17 years. To evaluate the trend and extent of urban growth, multi-ring buffer (MRB) method has been applied, and Shannon’s entropy estimation has been performed with MRB. The spatial analysis has been done by dividing study region into nine concentric circles of 2 km each, with increasing order of outward. The Shannon’s entropy values for the three-time period data of 2004, 2011 and 2021 are found to be 1.70, 1.80 and 1.84, respectively. High coalesced settlement core with sparse growth extent to outskirts has been replicating by the higher values of entropy index. This study is depicting built-up area and vegetation increased up to 33.7 km2 and 10.5 km2, respectively. To evaluate the density of urban growth for the present work, the density index was calculated. The results of the study depicting the first three zones are from compact to moderately compact, and further consecutive zones built-up area expansion has been highly dispersing in nature.
Monitoring Urban Sprawl Using Geo-Spatial Technology: A Case Study of Kanpur City, India
In India, cities have been experiencing rapid urbanization from the last decade. Rapid land transformation activities have been taking place in and around the city areas. This type of anthropogenic activity disrupts the ecological equilibrium. The present study has used remotely sensed data Landsat 5 TM and Landsat 8 OLI for the land use and land cover (LULC) classification and to analyze urban expansions that are the result of the dynamic processes related to landscape modification. The main objective of this work was analysis and identification of urban sprawl in Kanpur city, India. The built-up classification has been the quantification using satellite imageries of 2004, 2011 and 2021 data over a period of 17 years. To evaluate the trend and extent of urban growth, multi-ring buffer (MRB) method has been applied, and Shannon’s entropy estimation has been performed with MRB. The spatial analysis has been done by dividing study region into nine concentric circles of 2 km each, with increasing order of outward. The Shannon’s entropy values for the three-time period data of 2004, 2011 and 2021 are found to be 1.70, 1.80 and 1.84, respectively. High coalesced settlement core with sparse growth extent to outskirts has been replicating by the higher values of entropy index. This study is depicting built-up area and vegetation increased up to 33.7 km2 and 10.5 km2, respectively. To evaluate the density of urban growth for the present work, the density index was calculated. The results of the study depicting the first three zones are from compact to moderately compact, and further consecutive zones built-up area expansion has been highly dispersing in nature.
Monitoring Urban Sprawl Using Geo-Spatial Technology: A Case Study of Kanpur City, India
GIScience & Geo-environmental Modelling
Rahman, Atiqur (editor) / Sen Roy, Shouraseni (editor) / Talukdar, Swapan (editor) / Shahfahad (editor) / Paarcha, Aruna (author) / Maithani, Sandeep (author) / Husain, Mujahid (author) / Suhanee, Nisa (author) / Azad, Rohit Kumar (author)
2023-03-04
13 pages
Article/Chapter (Book)
Electronic Resource
English
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