Land cover change detection of Baghdad city using multi-spectral remote sensing imagery
العناوين الأخرى
كشف التغيرات بالغطاء الأرضي لمدينة بغداد باستخدام صور الاستشعار عن بعد
المؤلفون المشاركون
Bakhit, Yasir Chasab
al-Abbudi, Bushra Qasim
Mahdi, Muhammad Sahib
المصدر
العدد
المجلد 57، العدد (sA) (31 ديسمبر/كانون الأول 2016)، ص ص. 195-214، 20ص.
الناشر
تاريخ النشر
2016-12-31
دولة النشر
العراق
عدد الصفحات
20
التخصصات الرئيسية
الموضوعات
الملخص EN
The main goal of this work is study the land cover changes for "Baghdad city" over a period of (30) years using multi-temporal Landsat satellite images (TM, ETM+ and OLI) acquired in 1984, 2000, and 2015 respectively.
In this work, the methodology adopted took into consideration different image pre-processing techniques including, geometric correction, radiometric correction, atmospheric correction and satellite image clipping.
The principal components analysis transform has been utilized as multi operators, (i.e.
enhancement, compressor, and temporal change detector).
Since most of the image band's information are presented in the first PCs image.
Then, the PC1 image for all three years is partitioned into variable sized blocks using quad tree technique.
Several different methods of classification have been used to classify Landsat satellite images; these are, proposed method (ant colony system) using proposed system and supervised method (Maximum likelihood Classifier Technique) using ENVI 5.1 software are utilized in order to get the most accurate results and then compare the results of each method and calculate the land cover changes that have been taken place in years 2000 and 2015 comparing with 1984.
The image classification of the study area resulted into five land cover types: Water bodies, vegetation, open land (Barren land), urban area "Residential I" and urban area "Residential II".
The results from classification process indicated that water bodies, vegetation, open land and the urban area "Residential I" were increased, while the second type from urban area "Residential II" in decrease to year 2015 comparable with 1984.
Despite use of many methods of classification, results of the proposed method proved its efficiency, where the classification accuracies for the ACS algorithm are 83%, 58% and 84% for years 1984, 2000 and 2015 respectively.-
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bakhit, Yasir Chasab& al-Abbudi, Bushra Qasim& Mahdi, Muhammad Sahib. 2016. Land cover change detection of Baghdad city using multi-spectral remote sensing imagery. Iraqi Journal of Science،Vol. 57, no. (sA), pp.195-214.
https://search.emarefa.net/detail/BIM-759765
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Abbudi, Bushra Qasim…[et al.]. Land cover change detection of Baghdad city using multi-spectral remote sensing imagery. Iraqi Journal of Science Vol. 57, no. (sA) (2016), pp.195-214.
https://search.emarefa.net/detail/BIM-759765
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bakhit, Yasir Chasab& al-Abbudi, Bushra Qasim& Mahdi, Muhammad Sahib. Land cover change detection of Baghdad city using multi-spectral remote sensing imagery. Iraqi Journal of Science. 2016. Vol. 57, no. (sA), pp.195-214.
https://search.emarefa.net/detail/BIM-759765
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 213-214
رقم السجل
BIM-759765
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر