Spatio- Temporal Tecnology Analysis for Urban Land Use Growth in the Case of Mekelle City, Tigray, Northern Ethiopia

This study aims was to assess the urban land use growth in city using Geo special Technology data, (three satellite images 2006, 2012, and 2018) to determine the extent of urban Land use analysis. After image pre-processing, to classify the images into four land use classes using Maximum Likelihood supervised classification technique. The ground truths found from field survey also used for image classification and to evaluate the accuracy assessment. Accordingly, the overall accuracy was calculated (88.5%). The outcomes of images classifies was in period 2006–2018 the total area was covers 32160.72ha. Those areas have four Land use Classes there were, bare lands 5977ha (18.52%), 5573ha (17.33%), and 5342ha (16.61%). In receptively year (2006, 2012 and 2018), urban Land use classes was 5183.45ha (16.12%), 5952ha (18.50%) and 6789.72ha (21.11%) in year (2006, 2012 and 2018), Vegetation covers 20165.35ha (62.70%), 19873ha (61.79%) and 19389.72ha (60.29%) (2006, 2012 and 2018) and water body coverage 854.92ha (2.66%), 762.72ha (2.37%) and 639.5ha (1.99%) (2006, 2012 and 2018) respectively. Due to the urban Land use process was in 2006, 5186.45ha, in 2012 increased to 5952ha and in 2018 the urban Land Use coverages 837.72ha to rapidly growth from the total area of 32160.72ha. Finally, 2006 to 2018 year the area was covered 1606.27ha.