Assessment of Land Use Land Cover Dynamics at Bale Mountains National Park Using Gis and Remote Sensing
| dc.contributor.advisor | Murthy, K.S.R. (PhD) | |
| dc.contributor.author | Alem, Wallelign | |
| dc.date.accessioned | 2018-07-11T12:50:54Z | |
| dc.date.accessioned | 2023-11-09T14:09:55Z | |
| dc.date.available | 2018-07-11T12:50:54Z | |
| dc.date.available | 2023-11-09T14:09:55Z | |
| dc.date.issued | 2007-07 | |
| dc.description.abstract | Effective management of natural resources, especially National Parks requires accurate and up-to-date information to guide park managers in making appropriate decision. The intension of this study is to provide such information using GIS and remote sensing technologies to guide policy development in managing protected areas in Bale Mountains National Park. By utilizing remote sensing technologies and implementing GIS mapping techniques, land use and land cover change of designated areas can be monitored and mapped for specific research and analysis. The present study was attempted to identify and quantify the major land use land cover changes over the past 33 years as well as to identify potential habitat for Mountain Nyala (one of wild life species) at BMNP. Three satellite imageries (Landsat MSS 1973, Landsat ETM+ 2000 and ASTER 2005) have been utilized for the change detection analysis. As a result, land use land cover map of 1973, 2000 and 2005 was generated. In this study post classification and image differencing methods of change detection were assessed and a suitable method among them was found to be the former one because of the merit that it provides to and from information and results in a base map that can be used for the subsequent year. More over, it identifies where and how much change has occurred. Eventually, Eight land cover classes were identified from supervised classification of both ASTER, 2005 and Landsat ETM+, 2000 images, namely, moist montane forest, dry ever green forest , wood land , alpine bush land , water body, , pasture and farm plot, barren land and mixed grass/cereals.Five factor layers (vegetation type, elevation, settlement, river and road) were employed for Nyala habitat suitability modeling, and four suitability classes (most suitable, suitable, moderately suitable and less suitable habitat) were identified after performing GIS overlay analysis. The majority of most suitable habitat lies around the northern part of the park and on the top of the harrena forest. Woodland vegetation type along with the elevation range between 2800-3200 m.a.s.l found to be the most suitable habitat for Mountain Nyala. In general, five major causes of land use/land cover changes were identified (haphazardly expanding of settlement, Exploitation of wood for fuel and construction materials, human induced fire, luck of legislation & law enforcement and uncontrolled grazing & increasing farming on higher elevation). Key Words: Land cover/ land use, habitat, GIS, suitability, RS, BMNP | en_US |
| dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/8096 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa Universty | en_US |
| dc.subject | Land cover/ land use | en_US |
| dc.subject | Habitat | en_US |
| dc.subject | GIS | en_US |
| dc.subject | Suitability | en_US |
| dc.subject | RS | en_US |
| dc.subject | BMNP | en_US |
| dc.title | Assessment of Land Use Land Cover Dynamics at Bale Mountains National Park Using Gis and Remote Sensing | en_US |
| dc.type | Thesis | en_US |