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Register a new userUsing Remote Sensing in Drought Monitoring Case Study: The Eastern Region in Syria
استخدام تقنيات الاستشعار عن بعد في مراقبة الجفاف - حالة المنطقة الشرقية في سورية
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Tishreen University رسالة ماجستير
Publication date
2013
fields
Agricultural Engineering
and research's language is
العربية
Created by
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هدف هذا البحث دراسة الجفاف في المنطقة الشرقية في سورية باستخدام مؤشر SPI و NDVI. تم استخدام بيانات الأمطار الشهرية للفترة ١٩٧٥ إلى ٢٠١٠ من أجل حساب مؤشر الهطل المطري القياسي SPI وسلسلة مؤلفة من صور MODIS السنوية لشهر نيسان في الفترة ٢٠٠٠ إلى ٢٠١٠ من أجل حساب مؤشر الاختلاف النباتي الطبيعي NDVI.
In this study, drought in the eastern region of Syria (Hasake, Rakka, DerAzzor, Bokmal & Kameshli) has been investigated using SPI, NDVI indices. We used a set of data containing precipitation data for period from 1975 to 2010 to calculate Standardized Precipitation Index SPI, and MODIS time series images in April for period from 2000 to 2010 to calculate the Normalized Difference Vegetation Index NDVI.
References used
Kawabata, A.; Ichii, K.; Yamaguchi, Y. (2001). Global Monitoring Of The Interannual Changes In Vegetation Activities Using NDVI And Its Relationships To Temperature And Precipitation. International Journal Of Remote Sensing. (22), 1377–1382.
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Climate change is the major global challenge facing water resources managers
because of its impacts on many life fields beginning with agriculture activities to economic
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en investigated
(Hasake, Rakka, DerAzzor, Bokmal, Kameshli) using a set of data containing precipitation
data for period from 2000 to 2010, and MODIS time series images for the same period.
This study assure that 2008/2009 described as drought period in the study area, and the
NDVI maps ,which we have, give us an idea about the vegetation status and patterns in the
study area. The study clearly show that NDVI and rainfall was found to be highly
correlated in Rakka with P- Value= 0.003; and medium correlated in the other stations with
P- Value > 0.05.
Results of this study verify needing to use this index (NDVI), along with
precipitation data, in drought monitoring in the eastern north region of Syria. So that,. It
would help managers in making decisions to face drought in this area.
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