2021
DOI: 10.24057/2071-9388-2020-215
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Spatio-Temporal Analysis Of Urban Expansion And Future Growth Patterns Of Lahore, Pakistan

Abstract: Lahore, a metropolis and 2nd largest city of Pakistan, has been experiencing rapid urban expansion over the past five decades. The socio-economic development and growth of the urban population have caused the rapid increase of urban expansion. The increase in the built-up area of Lahore has seen remarkable growth during the past five decades. This study is aimed at detecting the Spatio-temporal changes in land use land cover and evaluating the urban expansion of Lahore since 1973. The conversion of land to oth… Show more

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Cited by 19 publications
(4 citation statements)
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“…Second, whether certain dimensions and indicators can measure urban sprawl remains controversial. In some studies, some indicators are the basis for measuring urban sprawl, yet in other studies, they are the drivers of urban sprawl [50,51]. In future research, we will compare and combine different dimensions and indicators to form a model for measuring urban expansion and evaluate the performance of the model through model identification accuracy to select more appropriate dimensions and indicators.…”
Section: Implications For Urban Sprawl Control In the Yrd Regionmentioning
confidence: 99%
“…Second, whether certain dimensions and indicators can measure urban sprawl remains controversial. In some studies, some indicators are the basis for measuring urban sprawl, yet in other studies, they are the drivers of urban sprawl [50,51]. In future research, we will compare and combine different dimensions and indicators to form a model for measuring urban expansion and evaluate the performance of the model through model identification accuracy to select more appropriate dimensions and indicators.…”
Section: Implications For Urban Sprawl Control In the Yrd Regionmentioning
confidence: 99%
“…The average NDVI spectral index was calculated to identify vegetated patches in Shahdara town. The resulting NDVI layer was classified based on a cut-off value of 0.1, to distinguish between vegetated areas and built-up or flooded places, as this cut-off value has already proven to be effective in distinguishing between vegetated and non-vegetated areas according to previous literature [22][23][24].…”
Section: Green Spaces Geographical Analysismentioning
confidence: 99%
“…Land use mapping on satellite-based data provides up-to-date information on Earth surface changes. Accordingly, multi-temporal analysis of land use changes can be monitored in land surface dynamics (Hansen et al 2013;Nasar-u-Minallah et al 2021) and urban growth (Taubenböck et al 2012;Minallah et al 2016). LULC change predictions are a process through which we can estimate the future scenario of any area for future planning to avoid its adverse consequences.…”
Section: Introductionmentioning
confidence: 99%