Urban sprawl analysis and modeling in Asmara, Eritreia: Application of Geospatial Tools

摘要: Urbanization pattern of Greater Asmara Area for the last two decades (1989 to 2009) and a prediction coming ten years was studied. Satellite images geospatial tools were employed quantify analyze spatiotemporal urban land use changes during study periods. The principal objective this thesis utilize satellite data, with application modeling studying change. In order achieve this, data three periods (1989, 2000 have been obtained from USGS. Object-Based Image Analysis (OBIA); image classification Nearest Neighbor algorithm in eCognition Developer 8 accomplished. assess validation classified LULC maps, Kappa measure agreement has used; results above minimum acceptable level. ArcGIS IDRISI Andes LUCC quantification; analysis classes; examine transitions classes identify gains losses relation built up area; characterize impacts changes. Since, major concern expansion, reclassified non-built further analysis. Urban sprawl measured using Shannon Entropy approach; indicated area undergone considerable sprawl. Finally, LCM used develop model, asses capacity developed model predict future change GAA. Multi-layer perceptron Neural Network transition potential successful make ‘actual’ Markov Chain Analyst. Despite GAA is center development its regional economic social importance, trend growth remains factor diminishing productive other valuable natural resources. findings that, twenty tripled size impacted surrounding environment. Thus, might support decision making sustainable