REMOTE SENSING EFFICIENCY FOR URBAN ANALYSIS OF MECCA AND SURROUNDS
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 ambitio...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/905/2016/isprs-archives-XLI-B8-905-2016.pdf |
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| author | A. Imam A. Imam B. Alhaddad J. Roca |
| author_facet | A. Imam A. Imam B. Alhaddad J. Roca |
| author_sort | A. Imam |
| collection | DOAJ |
| description | 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: <i>Urban, Street, Soil</i> and <i>Vegetation</i>. In addition, DEM has been extracted and included as <i>Mountain</i>. 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: <i>Northeast, Southeast, Southwest, East</i>, and <i>Northwest</i>. 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. |
| first_indexed | 2024-12-23T14:00:46Z |
| format | Article |
| id | doaj.art-49827fcd47444a548b9593eb56928152 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-23T14:00:46Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-49827fcd47444a548b9593eb569281522022-12-21T17:44:19ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B890591010.5194/isprs-archives-XLI-B8-905-2016REMOTE SENSING EFFICIENCY FOR URBAN ANALYSIS OF MECCA AND SURROUNDSA. Imam0A. Imam1B. Alhaddad2J. Roca3CPSV, Centre of Land Policy and Valuations, Polytechnic University of Catalonia (UPC), 08028 Barcelona, SpainDepartment of Urban and Regional Planning, College of Environmental Design, King AbdulAziz University, Kingdom of Saudi ArabiaSpace Dept. Starlab Ltd., Building R103, Harwell Oxford, Didcot OX11 0QX, UKCPSV, Centre of Land Policy and Valuations, Polytechnic University of Catalonia (UPC), 08028 Barcelona, SpainSituated 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: <i>Urban, Street, Soil</i> and <i>Vegetation</i>. In addition, DEM has been extracted and included as <i>Mountain</i>. 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: <i>Northeast, Southeast, Southwest, East</i>, and <i>Northwest</i>. 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.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/905/2016/isprs-archives-XLI-B8-905-2016.pdf |
| spellingShingle | A. Imam A. Imam B. Alhaddad J. Roca REMOTE SENSING EFFICIENCY FOR URBAN ANALYSIS OF MECCA AND SURROUNDS The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | REMOTE SENSING EFFICIENCY FOR URBAN ANALYSIS OF MECCA AND SURROUNDS |
| title_full | REMOTE SENSING EFFICIENCY FOR URBAN ANALYSIS OF MECCA AND SURROUNDS |
| title_fullStr | REMOTE SENSING EFFICIENCY FOR URBAN ANALYSIS OF MECCA AND SURROUNDS |
| title_full_unstemmed | REMOTE SENSING EFFICIENCY FOR URBAN ANALYSIS OF MECCA AND SURROUNDS |
| title_short | REMOTE SENSING EFFICIENCY FOR URBAN ANALYSIS OF MECCA AND SURROUNDS |
| title_sort | remote sensing efficiency for urban analysis of mecca and surrounds |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/905/2016/isprs-archives-XLI-B8-905-2016.pdf |
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