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dc.contributor.authorAli, Atif-
dc.contributor.authorKhalid, Anam-
dc.contributor.authorButt, Muhammad-
dc.contributor.authorMehmood, Rashid-
dc.contributor.authorMahmood, Syed Amer-
dc.contributor.authorSami, Javed-
dc.contributor.authorQureshi, Jahanzeb-
dc.contributor.authorShafique, Kashif-
dc.contributor.authorKhan, Asdullah-
dc.contributor.authorWaheed, Rizwan-
dc.contributor.authorAli, Farhan-
dc.contributor.authorMukhtar, Rais-
dc.contributor.authorAzhar, Muhammad-
dc.date.accessioned2021-03-30T09:05:27Z-
dc.date.available2021-03-30T09:05:27Z-
dc.date.issued2018-01-
dc.identifier.citationTY - JOUR AU - Ali, Atif AU - Khalid, Anam AU - Butt, Muhammad AU - Mehmood, Rashid AU - Mahmood, Syed Amer AU - Sami, Javed AU - Qureshi, Jahanzeb AU - Shafique, Kashif AU - Khan, Asdullah AU - Waheed, Rizwan AU - Ali, Farhan AU - Mukhtar, Rais AU - Azhar, Muhammad PY - 2018/01/01 SP - 245 EP - 258 T1 - Towards a Remote Sensing and GIS-Based Technique to Study Population and Urban Growth: A Case Study of Multan VL - 07 DO - 10.4236/ars.2018.73017 JO - Advances in Remote Sensing ER -en_US
dc.identifier.otherDOI: 10.4236/ars.2018.73017-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/1162-
dc.descriptionhttps://www.researchgate.net/publication/327933640_Towards_a_Remote_Sensing_and_GIS-Based_Technique_to_Study_Population_and_Urban_Growth_A_Case_Study_of_Multanen_US
dc.description.abstractIn recent decades, the migration rates of the large cities of Punjab have been risen up to a considerable level due to the lack of employment opportunities as well as lack of facilities in the rural areas of the province. It has caused an unprecedented and unplanned urbanization across the urban areas of the province. This study has been undertaken to perform fractal analysis about the sprawl in rapidly growing city. GIS and remote sensing data have been used in this study as an emerging technology which is cost effective as well as accurate at the same time. Landsat images have been taken for the study and the sprawl has been calcu lated with the analysis of the data of each decade for past more than 40 years. It has been observed that the built up area is 47.8 to 141.12 Sq. Km whereas the pattern of urban settlement has been classified as clustered and linear, following the roads network. The temporal population growth also seconded these re sults. The population growth rate and population density increase, are based on the pixel based extraction of the data from satellite imagery for the period of 2000 to 2014, which is taken as a decision support tool. In 2000, the population of the district increased from 2,071,694 (1981 census) to 2,939,907 and then in 2013, it became 4,384,191 at a rate to 2.93% upturn per annum. Moreover, the study also reveals the extent of the growth of other land uses as well which may be taken as a reference that in an agricultural country like Pakistan, the natural re sources are being wasted (by urbanization of the fertile land). There must be some master planning to avoid such things in the other cities as well.en_US
dc.language.isoenen_US
dc.publisherscientific research publishingen_US
dc.relation.ispartofseriesJanuary 2018Advances in Remote Sensing 07(03):245-258;-
dc.subjectPakistanen_US
dc.subjectUrban Sprawlen_US
dc.subject, Population Growthen_US
dc.subject, Spatio-Temporal,en_US
dc.subjectRemote Sensingen_US
dc.subject, Land Use,en_US
dc.titleTowards a Remote Sensing and GIS-Based Technique to Study Population and Urban Growth: A Case Study of Multanen_US
dc.typeArticleen_US
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