Gis and Remote Sensing Based Analysis on Industrial Site Selection in Hawassa Town, Ethiopia
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Date
2019-06
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Addis Ababa University
Abstract
The significance of GIS and Remote Sensing techniques and technologies currently in every
aspect of human beings day to day activities initiated the researcher to conduct this study.
Industry is important to enhance the economic level of a given country and GIS and remote
sensing technologies would provide a variety of options during site selection process. The
overall objective of the study is to identify suitable industrial site location by using Geographic
Information System and Remote Sensing based analysis in Southern Nations, Nationalities and
Peoples Regional State, Hawassa town. In order to conduct this study, multi criteria evaluation
system to identify factors influence during site selection by pair-wise comparison matrix was
employed. Nine determining factors/parameters identified in this study to identify suitable site
for the industrial establishment. These factors were slope, land use land cover, soil types,
distance from geological faults, proximity to main road, distance from residential area, distance
from water bodies (lake, river and swamp), The findings revealed that land use land cover
factors and distance from geological faults highly determines the selection for industrial sites;
and elevation and slope determines minimum compared with other factors. Majority of the study
area (47.5%) is suitable to establish industries and a small portion (0.2%) are less suitable.
Conducting environmental impact assessment prior to establishing industries in the study area
was not fully covered by the concerned government organization. Application of GIS and Remote
Sensing technologies in the study area is not fully employed. In order to select suitable sites for
the industry, the town administrators should focus on those important parameters by using
Geographic Information System and Remote Sensing technologies.
Keywords: GIS, Remote Sensing, Industry, Site Selection, Suitability Analysis
Description
Keywords
GIS, Remote Sensing, Industry, Site Selection, Suitability Analysis