Abstract
Urban growth / urban sprawl are the extension of a residential region into the surrounding area. The negative face of urban development is urban sprawl, criticizing the cause of environmental deterioration, growing inequality and diminishing the viability of aesthetic and urban areas. An effective and efficient planning of urban development and changes in land use and its effects on the environment needs, among other important details, details on development trends and patterns. Over the years, several models of urban growth have been developed and used to predict trends of growth. SLEUTH models are used to simulate and predict urban growth and land use transition for 2020-2050 in the City of Dilla (Ethiopia) in the analysis of Geographic Information System (GIS). The word SLEUTH was derived from the model's input image specifications: slope, land cover, exclusion, urban, transport, and Hill shade. Input data preparation used a cumulative time series dataset of 30 years, i.e. 1989, 1999, 2009 and 2019, such as historical topographical maps and satellite imagery. The SLEUTH model uses the parameters of the best fit growth rule by narrowing coefficients in the calibration mode and passing them down to forecast potential urban growth trends, creating different probability maps and LULC maps. The models generated future urban growth pattern predicted in the 31 years' from 2019, there will be nearly 41.14% urban rise in 2020, 52.95% in 2030, 59.91% in 2040 and 64.30% in 2050. In general, the extension of the urban growth trend introduces new spreading centers that are indicative of urban growth.
Improving Forecasts of Land Use with regionalized maps in the SLEUTH model