Remote Sensing and Geographic Information System Based Suitability Analysis of Urban Green Space Development in Addis Ababa: A case Study of Bole Sub-city
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Date
2016-06
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Addis Ababa University
Abstract
Land suitability analysis has growing importance in identifying suitable land resource for some specific uses. There is a growing demand for land for residential use, commercial, infrastructures, market and industrial purposes. Due to the dynamic urban growth trends, city administrators and planners are faced with difficulties in supplying facilities like green space. Improper urban development can bring adverse impact on urban agriculture, urban green space and environmental condition. This study aimed at identifying suitable sites for urban green space development in Addis Ababa by taking the Bole sub-city as a case study. The rate of land use/land cover change with respect to urban green space for the period between 1986 and 2015 was assessed using GIS tools and remote sensing techniques. The suitability analysis was done using GIS-based multi-criteria analysis steps. The analysis reveals that since 1986 the green spaces, represented by plantations, forestland, grassland and cultivated land have been transformed into other land uses at annual rates of 5.9%, 3.3%, 5.4% and 3.7 % respectively. This has resulted in the shrinking of plantations, forestland, grassland and cultivated land by 82.1%, 62.1%, 78.8 and 65.8 % respectively. In contrary, built-up and transport areas have been highly expanded with an annual rate of 5.7% and 1.3% and with a total area increase of 419% and 47% respectively. Moreover, based on GIS-based multi-criteria analysis, 4.2 % and 24 % of the study area was identified as highly suitable and moderately suitable for green space development respectively.
Keywords: Urban Green Space, Land Use / Land Cover, Remote Sensing, Geographic Information Systems, Multi-Criteria Analysis
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Keywords
Urban Green Space, Land Use / Land Cover, Remote Sensing, Geographic Information Systems, Multi-Criteria Analysis