Quantifying Urban Growth Pattern Using Remote Sensing And Spatial Metrics: A Case Study In Adama, Ethiopia
Abstract
Urban growth in developing countries is characterized by rapid and unprecedented
expansion, necessitating the assessment and quantification of urban growth patterns. This
information is crucial for policymakers, resource managers, and urban planners. The city
of Adama in Ethiopia faces significant challenges due to rapid urbanization, including land
use management, infrastructure development, environmental sustainability, and socio economic equity. However, the lack of comprehensive data-driven analysis and limited
modeling efforts hinder effective urban planning and decision-making processes. This
research aims to analyze and quantify the spatial and temporal trends and patterns of urban
growth in Adama city using satellite remote sensing data and spatial metrics. Landsat
multitemporal images from 1991, 2006, and 2022 were utilized, along with land-cover maps
produced at different intervals between 1991 and 2022. The satellite images were classified,
and land-use/land-cover maps were generated using a maximum likelihood supervised
classification method. Five selected spatial metrics were employed to visually and
quantitatively evaluate and analyze urban growth. Spatial metrics were computed at class level and landscape-level scales. The findings reveal the initial state of Adama city's land
use in 1991, characterized by dominant agriculture, significant forest cover, and limited
built-up areas. Between 1991 and 2006, there was a notable increase in built-up areas,
indicating significant urban development and potential environmental impacts. From 2006
to 2022, the growth in built-up areas was limited, primarily through the conversion of
forested land, emphasizing the significance of agriculture as the dominant land use. The
research also quantifies the growth of built-up areas over time, showing a significant
increase from 1991 to 2006 and a slower growth rate from 2006 to 2022. Agricultural areas
decreased, while forested areas experienced substantial reduction, raising concerns about
urbanization impacts and loss of natural habitat. These findings underscore the need for
sustainable land management practices and informed urban planning decisions to balance
urbanization demands with environmental preservation. Additionally, the research
highlights the dynamics of built-up fragmentation and spatial patterns of urban growth,
indicating increased fragmentation in 2006 but a reduction by 2022 within specific
proximity ranges. The research findings provide a foundation for informed decision-making
in urban planning and sustainable land use strategies by enhancing the understanding of
urban growth dynamics and spatial patterns.
