Drought monitoring using normalized different vegetation index North Darfur State 1999-2008
Dissertant
Muhammad, Khidr Abd al-Rahim Ali
Thesis advisor
al-Sinari, Adil Muhammad Ahmad
University
Omdurman Islamic University
Faculty
Faculty of Sciences and Technology
Department
Department of Information Systems
University Country
Sudan
Degree
Master
Degree Date
2010
English Abstract
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.
Main Subjects
Topics
No. of Pages
32
Table of Contents
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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Language
English
Data Type
Arab Theses
Record ID
BIM-393303
