Spatio-Temporal Modelling of Urban Land Cover Growth Dynamics

 

Spatio-Temporal Modelling of Urban Land Cover Growth Dynamics Using Remote Sensing Techniques: A Case Study of City of Calgary

Introduction

All over the world, the number of urban population is increasing and as a consequence, the urban areas are expanding at a rapid growth as well. For the past few years, the population of the city of Calgary has been growing steadily and is expected to grow by additional 1.3 million people over the next 50-60 years (Statistics Canada, n.d. and City of Calgary, n.d.). Due to this anticipated growth of urban population in Calgary city, there has been a growing concern over the land use changes and the growth of the Calgary
city (Derworiz, 2014). This project aims to look into the land cover changes of the city of Calgary over the period and aims to predict the future urban growth of the city of Calgary. Land cover change detection and predicting future urban growth of the city will help the city planners, politicians and policy makers to become more strategic regarding better land use management. This kind of research is also expected to help the city planners and service providers in providing services more strategically to future communities and formulate their future urban development plans accordingly.

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