GIS and Remote Sensing in Land Use Land Cover Change Detection in Finchaa Valley Area, East Wollega

dc.contributor.advisorKorme, Tesfaye (PhD)
dc.contributor.authorKebebew, Zeleleke
dc.date.accessioned2018-07-12T06:33:10Z
dc.date.accessioned2023-11-09T14:10:06Z
dc.date.available2018-07-12T06:33:10Z
dc.date.available2023-11-09T14:10:06Z
dc.date.issued2005-06
dc.description.abstractThis study assessed land use/ land cover change of Finchaa valley area by integrating GIS and Remote sensing techniques in Finchaa valley area in between 1973 and 2003.The study compared four different techniques: image differencing, rationing NDVI image comparisons and post classification Comparisons. Image differencing and rationing proved not suitable for the study area. NDVI is found better for visual comparisons with its mean values. Post classification comparison is proved the best method for the study area. The result of the analysis indicates that generally vegetation cove is decreasing attribute to increase in crop land with accelerated rate of change, the development of mechanized state farm in between 1972 and 1986 and agroindusrial development since1991at accelerated rate of change with its related infrastructures but collapse of state farm in the valley. The change is directly related to socio-economic activities, fire and poor environmental management and inseparably connected to one another. From observation the change has negative implications on the environments particularly on land, vegetation and animal diversities. Therefore the ill environmental management strategy should be re evaluated to protect to protect vegetation cover and to keep the development sustainable.en_US
dc.identifier.urihttp://10.90.10.223:4000/handle/123456789/8166
dc.language.isoenen_US
dc.publisherAddis Ababa Universtyen_US
dc.subjectGIS and Remote sensingen_US
dc.titleGIS and Remote Sensing in Land Use Land Cover Change Detection in Finchaa Valley Area, East Wollegaen_US
dc.typeThesisen_US

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