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Register a new userDetermine the Area and Distribution urban in the western part of the AL sweeda, using remote sensing techniques
تحديد مساحة و انتشار السمة العمرانيّة في الجزء الغربي من السويداء باستخدام تقنيات الاستشعار عن بعد
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Tishreen University ورقة بحثية
Publication date
2017
fields
Geography
and research's language is
العربية
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Shamra Editor
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تمَّ دمج عملية التحليل الإحصائي لتقنية عامل الدليل الأمثل (OIF) مع طريقة تصنيف شجرة القرار (DTC) في استخدام العتبات الحدية الطيفية المعايرة لفصل السمات عن بعضها في برامج معالجة الصورة الفضائيّة ضمن مقاربة ممنهجة و ذلك لاستخلاص السمة العمرانيّة و تحديد مساحتها و انتشارها من الصور الفضائية. تم اختبار دقة هذه المقاربة الممنهجة بمقارنة النتائج المتحصل عليها مع نتائج التصنيف المراقب لهذه السمة من الصور الفضائية وفق قنواتها الأصلية و أخرى وفق قنواتها المركبة حسب عامل الدليل الأمثل. أعطت المقاربة المقترحة و المطبقة بشكل موجه على الجزء الغربي لمدينة السويداء من صور التابع الصنعي Quick Bird دقة تصنيف بلغت 98% مقارنة مع 93% بالتصنيف المراقب للصورة المركبة بقنوات/أدلة محددة بعامل الدليل الأمثل بينما كانت 82% مع التصنيف المراقب لقنوات الصورة الأساسية و يعود ذلك الى دقة هذه المقاربة في فصل السمة العمرانية عن تلك المشابهة لها طيفياً في الصورة الفضائية من تكشفات بازلتية و طرق مواصلات و التي يصعب فصلها بطرق المعالجة و التصنيف الأخرى.
Optimum Index Factor (OIF) technique of statical analysis is fusion with Decision Tree Classification (DTC) method in determine the spectral critical value for separation the features in the image processing programs, and the architecture of this approach is designed for accuracy extracting the area and distribution urban from space image. Accuracy assessment of that approach is tested by comparing the supervised classification results for these feature from both the original bands of image and synthetical bands/indices of the image upon OIF value. Applied results of the approach on certain district represent the north Swaidaa city by Quick Bird image are: 98% for the suggested approach opposite 93% for supervised classification method of the synthetical bands image and 82% for original bands image. Accuracy of the approach is derived from exact separation the urban feature than similar spectrally objects in the image as basalt exposures and roads, where achievement of the other processing methods are less.
References used
Chavez, P.S., Berlin, G.L. and Sowers, L.B. Statistical Method for Selecting Landsat MSS Ratios. Journal of Applied Photographic Engineering. 1982. 8; 23-30
Chavez, P.S., Guptill, S.C. and Bowell J.A. Image Processing Techniques for Thematic Mapper Data. Proc. ASPRS-ACSM Tech. Paper. 1984. 2; 728-742
Ehsani, A . H . Quiel, F.Efficiency of Landsat ETM+ Thermal Band for Land Cover Classification of the Biosphere Reserve “Eastern Carpathians” (Central Europe) Using SMAP and ML Algorithms. Int.J. Environ. Res., 4(4):741-750 , 2010. P743
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Remote sensing is one of most important technology that provides information on
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ltural
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received by the station at General Organization for Remote Sensing in Damascus,
Syria. The spatial resolution of the satellite BELARUSIAN SPACECRAFT is 10.2
meters. The results showed that the spread of the three crops (wheat, barley and
chickpea) was generally on the four sides of the governorate, especially barley
crop. Chickpeas and wheat concentrated in the west and center but in scattered
areas. The area of wheat crop according to image classification was 30494 ha which
accounted 8.97% of the studied area (Sweida governorate without Badia). The
degree of approach to the proportion of the Ministry of Agriculture was 95.19%.
The area of barley crop resulting from the classification process was 16705 ha,
which accounted 4.92% of the study area. While the area of barley according to the
statistics of Ministry of Agriculture was about 15933 ha. The area of chickpea crop
resulting from the classification process was 26063 ha which represented 7.67% of
the studied area. The results showed that the accuracy of the total classification was
82.4%, which allows satellite image to be used in calculating the area of strategic
crops and determine its locations and distribution.
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dates automatically, and then to calculate the area of each land use/land cover, during the
years studied (1990 -2000- 2010) and comparison areas to identify the most important
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This study concentrates the use of remote sensing and geographic
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nd the
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intersections between different layers were procedure in order to
apply the criteria that are used in these studies to determine
optimal and typical sites for the establishment of preparation water
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The result of this study shows the efficiency of using the remote
sensing techniques and the geographic information system in the
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and its surrounding areas in Al-Sowaida Governorate based on GIA and RS.
The water erosion risk map was obtained by applying GIS model developed on
the basis of ten factors i
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