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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/2182

Advisors: Dr. BEKELE ABEBE
Keywords: Drought
food insecurity,
food availability,
Drought detection,
Dekade, near real time, inclusion, exclusion, and resource liquidation.
Copyright: Dec-2009
Date Added: 3-May-2012
Abstract: Abstract Food insecurity is a matter of both limited food availability and restricted access to food. Food availability is the availability of sufficient quantities of food of appropriate quality, supplied through domestic production or imports. The main objective of this study is delineation of food insecure areas in south Gondar Administrative Zone using remote sensing and GIS from the food availability perspective. The necessary data were generated from satellite images, meteorological data, and other ancillary data. The data analysis technique evolved generation of major factors determining food security. Because there are numerous factors determining food security, the researcher selected cyclic drought and soil erosion as determinant factors from crop production (food availability) perspective. Deviations of NDVI from the long term mean and the Vegetation Condition Index (VCI) derived from SPOT-4 near real time dekadal NDVI images for eight years were used for drought detection. The results were validated using ground truth data such as crop production, food aid beneficiaries and the amount of food aid distributed including the number of stunted and under weight children and pregnant and lactating mothers. The soil loss spot areas through erosion from the study area were estimated using USLE. These two determinant factors were then weighted and overlaid in the ArcGIS environment to generate a map indicating food insecure areas. Of the total areas of the Zone 16.3% is found to be generally food secure, 42.5% moderately food insecure, 32 % highly food insecure and 9.7% is chronically food insecure. The result of the research indicated that food insecure areas can be mapped by ecological boundary, which could be very important during area targeting for food aid and solve the problem under of area targeting using administrative boundaries. In the research it is recommended that delineation of food insecure areas using Remote Sensing and GIS at local level should be encouraged. This system could be scaled up at regional and federal level after incorporating other factors determining food security. In doing so, (1) resource liquidation will be reduced to its optimum level (2) inclusion and exclusion errors for emergency response and or food for work or cash for work will be minimized.
URI: http://hdl.handle.net/123456789/2182
Appears in:Thesis - Earth Sciences

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