Geospatial Based Suitability Analysis of Urban Green Area Development in Tepi Town South West, Ethiopia Using GIs and RS Techniques
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Date
2025-01-25
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Mekelle University
Abstract
The main target of this research was to identify suitable locations for events related to urban
green area developments in Tepi town, South, Ethiopia using GIs and RS techniques between
2003 and 2023. In order to achieve these, satellite data of Landsat7 for 2003, landsat8 for
2013and landsat9 for 2023 have been obtained and preprocessed using ERDAS Imagine. The
Maximum Likelihood Algorithm of Supervised Classification has been used to generate LULC
maps. Post classification comparison change detection was employed to determine the gains
and losses in LULC between two classified maps. Additionally, socio-economic data
assessment was performed by using selected individual’s interview and focused group
discussion to identify the driving forces of LULC change in the study area. The study area
covers a total area of 2223.23ha. 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 and industrial purposes. Improper urban
development can bring adverse impact on urban agriculture, urban green area and
environmental condition. Due to the dynamic urban growth trends, city administrators and
planners are faced with difficulties in amenities like green area. The rate of LULC change with
respect to urban green area for the period between 2003 and 2023 was assessed using GIs and
RS techniques. The suitability analysis was done using GIS-based multi-criteria analysis steps.
The result reveals that since 2003 the green areas, represented by plantations, grassland and
cultivated from this plantations and grasslands have been mostly converted into other land uses
classes at annual rates of 3.5%, 4.8%, respectively. This has resulted in the reductions of
plantations and grassland by 50.7%, 61.7% of the study area total area coverage respectively.
In contrary, built-up and cultivated land have been highly expanded with an annual rate of 3.0%
and 7.9% and with a total area increase of 80.9% and 38.6% respectively. Based up on GIs
based multi-criteria analysis, 1.2 % and 70.4 % of the study area was identified as highly
suitable and moderately suitable for green area development respectively. Finally, the sites
suitable for certain uses, such as green area development were identified and planned using
land suitability studies.
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Keywords
Urban green area, land use/land cover change, remote sensing, geographic Information system, multi-criteria analysis, land suitability analyses and Analytical hierarchy process.