Impacts of Urbanization Rate and Land Cover Change on Urban Farm Land: A Case of Wolayta Zone Sodo Zuria Woreda

Abstract

The effect of human intervention on the agricultural system has shown food insecurity with an increase in the cost of crop production in the local market due to the expansion of urbanization in the study area with 2.66% in 9 years for the demand of residential land. and also beyond this simulation result, the impact of deforestation on urban Agricultural and livelihoods was not scientifically studied in most of the southern Ethiopia high lands and their surrounding in particularly for Wolayta zone sodo zuria woreda has shown 0.295 % per year of forestland declined by 0.09 % for residential land and it has used for public service during the selected study period. This study has focused on the impact of urbanization rate and land use land cover change detection analysis using Primate and secondary data source with integration (GIS) Geographic Information System and Remote sensing Method for managing the negative impact on the geospatial environment in the context of Ethiopian Agricultural Transformation (ATP) goal of sustainable development. And evaluation of image classification accuracy can be defined as the process of comparing the classified image with geographic data considered to be accurate and referential typically, the data which is classified image is compared to are ground-truth based on supervised classification with (CR) Consistency Ratio 0.016 % of the pixel has resulted for accuracy assessment of 30m Land Sat 7 satellite image. In general, a set of reference shapefile has been overlaid as 7 major landuse class which are generated over the classified image by the AHP method of Computing Eigenvector Matrixes, which is an output of the pairwise comparison matrix to produce the best fit set based on the pixel value landuse area listed