Abstract:
Currently, urban sprawl is becoming a big problem in sub-Saharan African countries as cities
are expanding without well planning. Therefore, the objective of this study is to assess spatio
temporal Urban sprawl: in the Case of Holota town, Oromia Region, Ethiopia. GIS and remote
sensing were used to analyze the phenomena of urban sprawl and its impacts. This thesis uses
Geographic Information Systems (GIS) mapping and land cover change analysis, neighborhood
statistics, community surveying, key-informant interviews with planners and developers, and
planning documents to measure urban sprawl of the study area. Having employing the
descriptive research methods, the researcher collected data based on both primary and
secondary data. Research key informants' interviews, the researcher's participatory observation,
GPS data, Satellite Image and documentary resources were tools to collect data. Data sources
were both quantitative and qualitative data collection. The change detection method has been
applied to investigate LULC Change. In order to achieve these, satellite data of Land sat TM for
1995, ETM for 2005 and 2017 have been obtained and processed using ERDAS IMAGINE 2010.
The Maximum Likelihood Algorithm of Supervised Classification has been used to generate land
use/land cover maps. For the accuracy of classified Land use/Land cover maps, a confusion
matrix was used to derive overall accuracy and results were above the minimum and maximum
threshold level. The satellite image results show that built up areas increased by (8.65%),
(17.32%) and (32.32%) respectively in the first, the second and the entire study periods. While
cultivated land, increases than all land use and land cover in the first, the second study period
but grass land, and forest land, decreased in the first entire study
