Land Use Land Cover Change Detection and Vulnerability to Forest Degradation Using Remote Sensing And Gis: a Case Of Borena District in North Centeral Ethiopia

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Addis Ababa Universty


Land use/ land cover change has become a central component in current strategies for managing natural resources and monitoring environmental changes. Hence, information about it is essential for the selection, planning and implementation of land use schemes. The aim of this study is to detect the magnitude and rate of land use land cover change for the last 31 years from three different time satellite images of 1972, 1985, and 2003, and generating susceptibility to forest degradation map using GIS techniques in Borena district. NDVI image comparison and post-classification change detection methods were employed, hence the result of multi_temporal imagery has depicted that the study area has undergone a series of land us land cover dynamics, shrub and grass lands had decreased whereas, cultivated and bare lands had increased. In addition to this, susceptibility to forest degradation was done by considering factors such as cultivated land, settlement, road, slope and elevation value. And then, four levels of susceptibility to forest degradation map was generated. Based on the forest cover map of the year 2003 (6087 ha) of Borena district, about (20%), (28%) and (32%) of forest cover land are categorized under less, moderately, and highly susceptible to degradation respectively and the remaining (20%) of forest cover is very highly susceptible to degradation. The problem of forest cover change is directly linked with the activity of man such as expansion of agricultural land, demand of fuel wood and constructional materials as well as using this resource as income generating means’s. Besides, due to the problem of forest cover change; land degradation in the form of soil erosion, as well as declining of biodiversity seems to have reached a critical stage. In order to hold back the problem of forest cover change and its impact, corrective measures had been suggested which can be implemented both in the short term and long term phase. Key words: Land use/Land cover change, Forest degradation Susceptibility, GIS and remote sensing,



Land use/Land cover change, Forest degradation Susceptibility, GIS and remote sensing,