Skip navigation
 

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/11002
Title: Application of Remote Sensing And GIS for Geological Investigation and Groundwater Potential Zone Identification, Southeastern Ethiopian Plateau, Bale Mountains and the Surrounding Areas
???metadata.dc.contributor.*???: Dr. Tesfaye Korme
Tewodros, Rango
Keywords: Dykes;Lithology;Groundwater potential zone prediction;GIS;Remote Sensing
Issue Date: Jun-2005
Publisher: Addis Ababa University
Abstract: The application of remote sensing and GIS has found to be a quick and inexpensive technique in order to obtain the desired output efficiently. For the present study an attempt was made to map dykes, lithology and other thematic maps such as of drainage density, slope, elevation, lineament, rainfall, landcover and burrowing of rodents and then to integrate them in a GIS environment to get information about the occurrence of groundwater and used to select promising areas for further groundwater exploration. The present study was conducted on southeastern part of Ethiopia plateau, the Bale Mountains and the surrounding areas. Satellite image of Landsat ETM+ of all bands except the thermal bands were utilized for lithologic and geologic structures mapping. Topographic map at the scale of 1:50,000 were used to generate elevation contour at the interval of 20m. Slope map were derived from TIN (Triangulated Irregular Network), which is derived from elevation contour map. Spatial distribution of drainage density was derived by using three softwares AutoCAD map 2000 engineering software, Arcview3.2 and MapInfo professional 6.0. The burrowing of Rodents were mapped from field Knowledge and using 742(RGB) that shows areas of rodent burrowing activities. Secondary data of landcover, soil were also utilized. Groundwater potentiality in the area has been assessed through the integration of the different thematic layers that contributes for the natural recharging of aquifer. The predicted groundwater potential zones were divided into 5 classes from very good up to poor. Color composite, ratio and PCA (Principal Component analysis) were made to interpret the lithology of the area. Due to vegetation cover and similarities of reflectance of different rock units it was difficult to separate them. The field knowledge and some petrographic analysis support the identification of the lithology.
URI: http://hdl.handle.net/123456789/11002
Appears in Collections:Thesis - Earth Sciences

Files in This Item:
File Description SizeFormat 
Tewodros Rango Godebo.pdf15.11 MBAdobe PDFView/Open
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.