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Spatial-temporal assessment of urban growth and land use change in Islamabad using object-based classification method

By: Rabia Shabbir, Sheikh Saeed Ahmad

Key Words: Land use change, Urban growth, Islamabad, Object-based classification, Google earth

J. Bio. Env. Sci. 16(3), 125-143, March 2020.

Certification: jbes 2020 0272 [Generate Certificate]

Abstract

Rapid land use changes have taken place in Islamabad, the capital city of Pakistan, over the past decades due to accelerated urbanization and industrialization. In this study, land use changes in metropolitan area of Islamabad was observed by the combined use of GIS and satellite remote sensing for a time period of 20 years. High resolution Google Earth images were downloaded from 1995-2015 and Object-based classification method was used for accurate classification using eCognition software. The information regarding residential area, industrial area, barren land, arable land, agricultural area, vegetation, forest, water and transportation infrastructure was extracted. The results showed that the city experienced a spatial expansion, rapid urban growth, land use change and expanding transportation infrastructure. The study concluded integration of GIS and remote sensing as an effective approach for analyzing the spatial pattern of urban growth and land use change.

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Spatial-temporal assessment of urban growth and land use change in Islamabad using object-based classification method

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Rabia Shabbir, Sheikh Saeed Ahmad.
Spatial-temporal assessment of urban growth and land use change in Islamabad using object-based classification method.
J. Bio. Env. Sci. 16(3), 125-143, March 2020.
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