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Drought monitoring using normalized different vegetation index North Darfur State 1999-2008
مقدم أطروحة جامعية
Muhammad, Khidr Abd al-Rahim Ali
مشرف أطروحة جامعية
al-Sinari, Adil Muhammad Ahmad
الجامعة
جامعة أم درمان الإسلامية
الكلية
كلية العلوم و التقانة
القسم الأكاديمي
قسم نظم المعلومات
دولة الجامعة
السودان
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2010
الملخص الإنجليزي
Drought is an insidious hazard of nature which is considered by many to be the most complex but least understood of all natural hazards.
Large historical datasets are required in order to study drought which involves complex inter – relationship between climatological and meteorological data.
Extraction of valuable information such data archives demands an automated and efficient way.
Normalized Different Vegetation Index (NDVI) is answer to above problem as it has the potential to search for hidden pattern and identify the relationship between the data.
The foundation for using NDVI data in drought monitoring in arid and semi-arid was based on a large body of research in 1980s in a wide range of arid land regions, which demonstrated a close relationship between NDVI and rainfall variations on seasonal to inter-annual time scales (Tucker and Nicholson, 1999).
This relationship between NDVI and rainfall provided the basis for using time series NDVI data for drought monitoring and development of famine early warning systems in regions with sparse terrestrial rainfall networks (Hutchinson, 1991).
This project employed Geographic Information System (GIS) and Remote Sensing (RS) spatial methods to carry out with the aim of investigating the variability of NDVI and the value of NDVI as tool for drought monitoring over Darfur region, using SPOT time series data during the ten years period from 1999 to 2008.
In this project the NDVI for the region was derived using dekadal (every ten days) SPOT data downloaded from satellite active archives.
Within North Darfur state, five sites were selected to carry out with the analysis.
The analysis in this project only focuses on NDVI patterns during the rainy season (May to October).
The values of NDVI for each dekadal image over the ten years were recorded.
Then a temporal profile was created, in which NDVI time series dekadal images over the ten years create the site profile.
Final output of this project was graphs depict the variations in NDVI values in five sites been selected.
التخصصات الرئيسية
الموضوعات
عدد الصفحات
32
قائمة المحتويات
Table of contents.
Abstract.
Chapter One : Problem statement and objectives.
Chapter Two : Background.
Chapter Three : Methodology.
Chapter Four : Results and findings.
Chapter Five : Discussion and recommendations.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Muhammad, Khidr Abd al-Rahim Ali. (2010). Drought monitoring using normalized different vegetation index North Darfur State 1999-2008. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-393303
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Muhammad, Khidr Abd al-Rahim Ali. Drought monitoring using normalized different vegetation index North Darfur State 1999-2008. (Master's theses Theses and Dissertations Master). Omdurman Islamic University. (2010).
https://search.emarefa.net/detail/BIM-393303
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Muhammad, Khidr Abd al-Rahim Ali. (2010). Drought monitoring using normalized different vegetation index North Darfur State 1999-2008. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-393303
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-393303
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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