Multi temporal satellite images for growth detection and urban sprawl analysis; Dubai City, UAE

Diena Aldogom, Nour Aburaed, Mina Al-Saad, Saeed Al Mansoori, Meera Rashid Al Shamsi, Alya Ahmed Al Maazmi

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Abstract

Urbanization is a spatiotemporal process that has significant role in economic, social, and environmental structures. Spatiotemporal analysis for urban growth is vital for city management planning. With highly recognized financial and social developing trends, Dubai City, UAE appears as one of most challenging cities in terms of research and preparation toward a smart city aspect. Integrated technologies of remote sensing and geographic information system (GIS) facilitate urban growth detection and its relation to population distribution. In this study Multi-temporal, medium-resolution Landsat images were used to detect and analyze the urbanization trend in Dubai over the last three decades(1986-2019). Moreover, the influence of urbanization on the aspects of smart city tendency was investigated. The study methodology consisted of three parts. First, classification algorithms along with change detection, segmentation, and extraction of urban areas were used to obtain land Use/land Cover (LULC) maps. Second, Shannon's entropy was used to investigate Dubai's growth toward compact or sprawl city based on two city centers and a major highway. Finally, CA-Markov, associated with the digital elevation model and road map of Dubai, was used to simulate the urban change for 2030, 2050, and 2100. With more than 90% overall accuracy, the statistical analysis for LULC percentages and Shannons entropy values indicated that Dubai experienced a considerable increase in urban fabric while maintaining a compact growth. CA-Markov model estimated 3% urban growth by 2030, which would result in potential loss of green areas and open spaces. This study could be used in improving planning and management methods to achieve sustainable urban growth.

Original languageEnglish
Title of host publicationRemote Sensing Technologies and Applications in Urban Environments IV
EditorsThilo Erbertseder, Nektarios Chrysoulakis, Ying Zhang, Frank Baier
Place of PublicationBellingham, Washington
Number of pages10
Volume11157
ISBN (Electronic)9781510630185
DOIs
Publication statusPublished - 2 Oct 2019
EventRemote Sensing Technologies and Applications in Urban Environments IV 2019 - Strasbourg, France
Duration: 9 Sep 201910 Sep 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11157
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceRemote Sensing Technologies and Applications in Urban Environments IV 2019
CountryFrance
CityStrasbourg
Period9/09/1910/09/19

Keywords

  • image classification
  • land use/land cover
  • Landsat
  • Shannons entropy
  • cpatiotemporal analysis
  • sprawl analysis

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