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Document Type |
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Thesis |
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Document Title |
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Urban Change Detection Using Remotely Sensed Data: An Application Study on Jeddah City, Saudi Arabia, from 2005 to 2010 كشف التغير الحضري باستخدام بيانات الاستشعار عن بعد: دراسة تطبيقية على مدينة جدة خلال الفترة (2005م-2010م) |
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Subject |
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Urban Change Detection Using Remotely Sensed Data: An Application Study on Jeddah City, Saudi Arabia, from 2005 to 2010 |
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Document Language |
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Arabic |
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Abstract |
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Change detection is one of the remote sensing applications that
suits best exploring and measuring changes that occur in both physical
and human environments during specific times. Change detection is
important in showing qualitative, quantitative, and spatial change of a
feature. One main area of applying this technique is studying change in
urban environments. This is because of the dynamic nature of such
environments, and also the planning and administrating requirements
that depend on huge and varied amount of information which might be
difficult to acquire from any source other than the use of remotely sensed
data.
The advantages of using remote sensing is that it is possible to
know the change, its nature, and measuring and evaluating it. Therefore,
the main objective of this study is to explore different aspects of some
change detection methods with application on Jeddah city. This includes
recognizing change characteristics that occur in some parts of Jeddah
city during the study time from 2005 to 2010 using SPOT data. Also,
evaluating the suitability of SPOT data for change detection in the
environment of Jeddah city, as well as different methods of change
detection.
Four change detection methods were applied namely: visual
interpretation, Image Differencing, Post-Classification, and Principal
Components Analysis. The results of applying these methods varied.
Visual interpretation was generally successful but demands more time
and effort, and has its own limitations. Results of other methods were
affected mainly by data characteristics and threshold value. However,
principal component analysis and post classification produced good
results. |
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Supervisor |
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Dr.Mohammad Alamri |
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Thesis Type |
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Master Thesis |
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Publishing Year |
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1435 AH
2013 AD |
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Number Of Pages |
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108 |
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Added Date |
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Friday, July 26, 2019 |
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Researchers
| حمده حمود السلمي | Alsulmi, Hamda Homod | Researcher | Master | |
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