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University of Nevada, Las Vegas (2021)

A Fusion of Remotely Sensed Data to Map the Impervious Surfaces of Growing Cities of Punjab, Pakistan

Binita Shrestha

Titre : A Fusion of Remotely Sensed Data to Map the Impervious Surfaces of Growing Cities of Punjab, Pakistan

Auteur : Binita Shrestha

Université de soutenance : University of Nevada, Las Vegas

Grade : Master of Science in Engineering (MSE) 2021

Résumé partiel
Urban population is expected to exceed 70% of the world’s total by the middle of the 21st century. Thus, growth in number as well as the sizes of the cities are certain in the near future. The urbanization rates will be much higher in the developing countries than the developed. Such phenomena are accompanied by conversion of land cover from its natural use to built up environment to accommodation growing population. Built up surfaces include road networks, buildings, parking lots and pathways. They are permanently impervious and hydrologically active surfaces. Large volume and discharges of runoff characterize impervious surfaces with frequently occurring flash floods in cities. Besides, proliferating impervious surface is responsible for increasing surface temperature due to Urban Heat Island effect and are the major Nonpoint Source pollutants in the receiving water bodies. At the face of climate change, the consequence of urbanization and increasing impervious surface is exacerbating. Therefore, for sustainable development, spatial and temporal expansion information of impervious surfaces is essential to the planners. Thus, the overall objective of this thesis is to map the impervious surfaces and estimate the expansion rates in the growing cities of Punjab, Pakistan in the last four years.

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Page publiée le 27 novembre 2022