Browsing by Author "Wana, Desalegn"

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    Land Use and Land Cover Change Detection Analysis using Remote Sensing Techniques : The Case of Hawassa Town, Southern Ethiopia
    (Addis Ababa University, 2017-06) Abebe, Ayele; Wana, Desalegn
    This project examines the use of GIS and RS in mapping land use land cover change in Hawassa town between 1995 and 2016 so as to detect and analyze the change that has taken in the town between these periods. in order to achieve these the Satellite of land sat TM for 1995, Landsat ETM for 2002, ASTER image for 2009 and Land sat 8 for 2016 have been obtained and preprocessing using EARDAS IMAGINE . The maximum likelhood algorism of supervised Image classification has been used to generate land use land cover maps.Land use land classification, change map, accuracy assessment and confusion matrix by using Arc GIS. For the accuracy of the classified LULCC maps the confusion matrix was used to drive. The overall accuracy and kappa coefficient results were above the minimum and acceptable threshold level. Aggregate rate of changes of Land use and land cover of Hawassa town resulted that considerable change has occurred within twenty one (21) years from 1995 to 2016. Though the period of 1995 from 2016 there dramatic change in several LULC categories including that is , only bare land has decreased in (-40.6%), while the rest classes namely Settlement in +460.1%, wetland +66.6%, Agricultural land 14.4% and Vegetation coverage also increased by 6.4 %. . Accordingly more land brought under Settlement and Vegetation. The project output stated that increase in settlement and vegetation coverage of the town resulted population pressure on land and there is awareness of society for reforestation programme the town
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    Plant Communities and Diversity along Altitudinal Gradients from Lake Abaya to Chencha Higlands
    (Addis Ababa University, 2002-06) Wana, Desalegn; Woldu, Zerihun (PhD)
    Vegetation-environment relationships have been investigated in the study. Community transition and species diversity are affected among others by environmental heterogeneity. Multivariate numerical techniques were adopted to identify communities. The resemblance function for the identification of communities was similarity ratio, while correlation coefficient was used to identify species groups. Shannon-Wiener diversity index and Jaccard’s community coefficient were computed to measure species diversity in a community and community transitions respectively. One-way analysis of Variance (ANOVA) was used to test the differentiation of communities due to environmental factors such as soil properties, slope and aspect. The results helped to identify five plant communities and seven species groups. Statistical analysis indicates that the differentiation of communities might partly be explained by the variation of soil properties and topographic features at p<0.05 level of significance, excepting Cation exchange capacity. Community’s grade gradually along altitudinal gradients as indicated by the high community coefficients 0.52, 0.53 and 0.16 (Table 1 and 2) in between adjacent communities. Shannon- Wiener diversity index revealed that species diversity and richness is high in communities 1, 2 and 3 at 1250-1800m altitudinal ranges. The high species diversity and richness could be due to environmental heterogeneity, which are associated with the effect of altitude. These communities are found in steep slopes and in areas of human settlement nearby where disturbance of the vegetation is observed. Therefore, conservation of these vegetation types should be given priority concern for the conservation of biodiversity in the study area