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Landsat 5 images from 1984 were used to derive the land cover data using object-oriented image classification. 
This data was created to support the “Natural Resources Conservation and Development Activities”. It targets the conservation and sustainable use of the forest-related resources within the Hawassa-Zeway Watersheds. These resources are of the highest importance for this part of the rift valley lakes basin. It is an important area from economic, social and environmental points of view. These watersheds require integrated forest-related resources management in order to conserve and sustainably use the land and water resources of the watersheds.
The Land Cover Classification system consists of ten land cover categories (forest, woodland, degraded forest, shrub, grass, irrigation, lake, swamp, wet grass, and built-up). Landsat 8 image analysts at Hawassa University (Wondo Genet College of Forestry and Natural Resources) created the Land Cover data by manually outlining and coding areas on air high-resolution images that appeared to have a homogeneous land cover that corresponded to one of the land cover classes.
The smallest forest features encoded in the land cover data are 0.81 hectares (nine pixels) in size. The land cover data were compiled for the use at 1:100,000 scale. Analysts edited the land cover polygons using the high-resolution images as a source of data and ground control points.</gco:CharacterString>
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   </gmd:distributionInfo>
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