Article Title :
Analysis of Urban Expansion and Modeling of LULC Changes Using Geospatial Techniques: The Case of Adama City
4 (2020)
40-58
Cellular Automata , GIS , Image Classification , LULC , Markov Chain , Modeling , Remote Sensing
In the last decades, Adama city has experienced drastic changes in its shape, not just in its vast geographical expansion, but also by internal transformations. Subsequently, understanding and evaluating the spatiotemporal variability of urban land use and land cover (LULC) shifts, and it is important to bring forth the right strategies and processes to track population development in decision-making. The goal of this analysis was therefore to examine LULC changes that have taken place over 37 years, forecast the long-term urban development in Adama City using geospatial techniques. To attain this, satellite data of Landsat 1973, 2000 and 2010 was downloaded from USGS Earth Explorer and processed using Arc GIS 10.5, Erdas 9.2, and Idrisi 32. A supervised classification technique has been used to prepare the base maps with six land cover classes that are accustomed to generate LULC maps. The maps are cross-tabulated to measure LULC changes, to look at land-use transfers between the land cover classes, to spot increases and declines in built-up areas in comparison to other land cover classes, and to determine the spatial changes in built-up areas. Finally, Markov Chain and CA-Markov techniques were used to model the LULC changes in the Adama district and to forecast possible changes in urban land use. The model was verified by the Kappa statistics and also by the application of other validation techniques. The growth of built-up areas in the last 37 years has risen from 2% in 1973, 10% in 2000 and 23% in 2010 and estimated about 60% over the next 30 years (2040).
The study focused on examination of spatial changes in urban areas using geospatial technology.
Markov Chain and CA-Markov techniques were used to model the LULC changes in the Adama district.
The model was verified by the Kappa statistics and also by the application of other validation techniques.
The growth of built-up areas in the last 37 years has risen from 2% in 1973, 10% in 2000 and 23% in 2010.
The identified changes in urban patterns will be useful for successful land use regulations and planning.
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