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Register a new userArea Estimation of Wheat, Barley and Chickpeas Crops in Sweida Governorate Using Remote Sensing (RS) Technique
تقدير مساحة محاصيل القمح و الشعير و الحمّص في محافظة السّويداء باستخدام تقانة الاستشعار عن بعد
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المجلة السورية للبحوث الزراعية ورقة بحثية
Publication date
2017
fields
Agricultural Engineering
and research's language is
العربية
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يُعدّ الاستشعار عن بعد أحد أهمّ التقانات التي تؤمّن المعلومات على مساحاتٍ واسعة، و بزمنٍ قصيرٍ. نُفّذت الدّراسة في محافظة السّويداء، بهدف حساب مساحة المحاصيل الاستراتيجية في المحافظة، و مناطق انتشارها و توزّعها للموسم الزراعي 2015/2014، و ذلك من خلال تصنيف الصور الفضائية من نوع (BKA)، و المستقبَلة من محطة الاستقبال في الهيئة العامة للاستشعار عن بعد في دمشق بسورية، من التابع الصنعي BELARUSIAN SPACECRAFT، بقدرة تمييز مكاني 10.2 متر. أظهرت النتائج أنّ انتشار المحاصيل الثلاثة (القمح، و الشعير، و الحمّص) كان بشكلٍ عام على أطراف المحافظة من الجهات الأربعة، و لاسيما محصول الشعير، و أنّ القمح و الحمّص تركّزا بمساحات يعتد بها في غرب المحافظة، و قد لُوحظ مساحات صغيرة متناثرة لمحصول الحمّص في وسط المحافظة. بلغت المساحة الناتجة و المعبّرة عن مساحة محصول القمح في المحافظة 30494 هكتاراً ما نسبته 8.97 % من مساحة منطقة الدراسة (محافظة السويداء باستثناء البادية السورية)، و قد قاربت نتائج وزارة الزراعة بنسبة و قدرها 95.19%. كما بلغت مساحة محصول الشعير الناتجة عن عملية التصنيف 16705 هكتاراً، التي تشكّل ما نسبته 4.92 % من مساحة منطقة الدراسة. في حين قُدّرت مساحة محصول الشعير وفقاً لإحصائيات وزارة الزراعة حوالي 15933 هكتاراً. بلغت مساحة محصول الحمّص الناتجة عن عملية التصنيف 26063 هكتاراً، حيث شكلت 7.67% من مساحة منطقة الدّراسة، في حين وصلت مساحة محصول الحمّص في إحصائيات وزارة الزراعة حوالي 30266 هكتاراً. كما أظهرت النتائج أنّ دقة التصنيف الكلية قد بلغت 82.4 % مما يسمح بإمكانية استخدام صور الأقمار الصناعية في حساب مساحة المحاصيل الاستراتيجية و تحديد مواقع انتشارها و توزّعها.
Remote sensing is one of most important technology that provides information on large areas in a short time. The study was carried out in Sweida governorate with the aim of calculating the area of strategic crops and its distribution for the agricultural season 2014/2015 by classifying satellite images-type (BKA). The images were 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.
References used
Ahmed, R.; and H. Sajjad (2015). Crop acreage estimation of Boro Paddy using remote sensing and GIS techniques: A Case from Nagaon district, Assam, India. Advances in Applied Agricultural Science. 3(3): 16-25
Al-khaled, E.A. (2005). Spectral reflectance of some field crops in relation to growth and yield. Ph.D. Thesis. Ain Shams University, Cairo. Egypt
Abo-Shetaia, A.M.; M.A. Ashoub.; M. Ismail and E.A. Al-khaled (2005). Estimation of some summer crops area and yield prediction using remote sensing techniques. Annals Agric. Sci., Ain Shams Univ., Cairo. 50(2): 481-498
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(K) then calculating the distance between each cluster
center and the elements of images to join each element
to the closest cluster depending on threshold distance.
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