Urban Growth and Land Use Simulation Using SLEUTH Model for Adama City, Ethiopia Yanit Mekonnen 1(B ) and S. K. Ghosh 2 1 Department of Architecture, Dilla University, SNNPR, Dilla, Ethiopia tinayeth@gmail.com 2 Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India Abstract. Urban Growth Model has been adapted to study the urban growth and its impact on the surrounding environment. Here a cellular automaton model known as SLEUTH has been standardize using multi historical digital maps of areas to forecast the future coverage of an urban and land use. The model will use the best fit growth rule parameters by narrowing coefficients throughout calibration mode and passed down to predict future urban growth pattern, generate various probability map and LULC map. As per SLEUTH modelling, the generated future urban growth pattern prediction of Adama city shows that nearly 42.89% urban rise in 2020, 46.85% in 2030, 49.15% in 2040 and 50.49% in 2050. Generally, the expansion of the urban growth pattern is exhibiting new spreading centre which are indication of a city to expand also the result present useful information for future urban planning and improvement. Keywords: Urban growth · GIS and remote sensing · SLEUTH 1 Introduction Modelling urban growth is a significant information for analysis and evaluation towards the sustainable improvement of a city. The ecological effects and degree of urban issues have been developing and producing solid imbalance between the city and its environ- ment. The need to address this intricacy in evaluating and checking the urban arranging and the executive’s procedures and practices is unequivocally felt in the recent years (Lavalle 2002). The international contributors are progressively connected with the critical ecological errands for the feasible improvement of their urban areas, the planning difficulties looked by the nearby authorities, and the significance of remote sensing data and GIS techniques in the investigation of urban growth to address these difficulties. Deciding the rate of urban spatial arrangement and urban growth, from remote sensing data, is a pervasive approach in contemporary urban geographic studies. Characterized urban structure, map of growth from remotely sensed data can help planners to visualize the directions of the urban, basic frameworks, functions, and structures (Bhatta et al. 2010). However, despite the fast improvement of remote sensing technologies, there is no end phases of intriguing © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020 Published by Springer Nature Switzerland AG 2020. All Rights Reserved N. G. Habtu et al. (Eds.): ICAST 2019, LNICST 308, pp. 279–293, 2020. https://doi.org/10.1007/978-3-030-43690-2_19