Volume XLI-B8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 905-910, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-905-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 905-910, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-905-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  23 Jun 2016

23 Jun 2016

REMOTE SENSING EFFICIENCY FOR URBAN ANALYSIS OF MECCA AND SURROUNDS

Ayman Imam1,2, Bahaa Alhaddad3, and Josep Roca1 Ayman Imam et al.
  • 1CPSV, Centre of Land Policy and Valuations, Polytechnic University of Catalonia (UPC), 08028 Barcelona, Spain
  • 2Department of Urban and Regional Planning, College of Environmental Design, King AbdulAziz University, Kingdom of Saudi Arabia
  • 3Space Dept. Starlab Ltd., Building R103, Harwell Oxford, Didcot OX11 0QX, UK

Keywords: Mecca, Land Cover, Change Detection, Remote Sensing, Landsat, Urban Morphology

Abstract. Situated in the southwest of Saudi Arabia, Mecca is considered the spiritual capital of one and a half billion worldwide Muslims. The city is visited by millions of pilgrims every year. It has undergone significant changes in land cover (LC) since the government first embarked on a series of ambitious development projects 20 years ago to accommodate the growing number of pilgrims and citizens. The main objective of our study is to detect, identify, analyze and measure the evolving land cover and urban morphology composition from multi-temporal satellite images. To characterize the morphological change during a period of twenty years, four satellite images, acquired in 1998 by Landsat TM and in 2003, 2008 and 2013 by Landsat ETM+, were classified into five main categories: Urban, Street, Soil and Vegetation. In addition, DEM has been extracted and included as Mountain. Change detection (CD) analysis is applied using post-classification comparison and GIS. As part of the study, morphological index, such as, Entropy is included for better understanding of urban structures behaviour. Mecca and its surroundings show a noticeable increase in urban and vegetation cover. Urban cover (UC) changes were divided into five radial directions: Northeast, Southeast, Southwest, East, and Northwest. These changes are influenced by mountain ranges surrounding the city and the highways. These revelations can play a significant role towards future planning and development activities, which may further promote urban growth.