Analysis of Biomass Degradation as an Indicator of Environmental Challenge of Bilate Watershed Using Gis Techniques

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dc.contributor.advisorLegesse, Dagnachew (PhD)
dc.contributor.authorSendabo, Degelo
dc.date.accessioned2018-07-03T08:17:03Z
dc.date.accessioned2023-11-09T14:09:06Z
dc.date.available2018-07-03T08:17:03Z
dc.date.available2023-11-09T14:09:06Z
dc.date.issued2007-07
dc.description.abstractAdvancement in spatial data processing especially using GIS techniques has been playing an important role in different applications. Multiple source spatial and non-spatial data can be processed for the analysis of spatiotemporal conditions of a given area. Having such an approach in mind the Bilate Watershed Biomass is analysed using multi-temporal Landsat images acquired in 1973, 1986 and 2001. Such data are processesed using digital image processing techniques including NDVI and Tasselled Cap analysis. Besides, different vector data are extracted from the images as well as other topographic and thematic maps. Land use land cover of the watershed is interpreted and based on that the level of biomass degradation is analysed. Using the integrated spatial information, decision support system has been applied for the identification of priority areas to be conserved due to their sever damage. The study identified major causes and effects of biomass degradation of the watershed. Key Word: Remote Sensing, GIS, Biomass, Environment, Degradation, decision making, conservation multitemporal, multispectral, land use, land cover.en_US
dc.identifier.urihttp://10.90.10.223:4000/handle/123456789/5779
dc.language.isoenen_US
dc.publisherAddis Ababa Universtyen_US
dc.subjectRemote Sensingen_US
dc.subjectGISen_US
dc.subjectBiomassen_US
dc.subjectEnvironmenten_US
dc.subjectDegradationen_US
dc.subjectDecision makingen_US
dc.subjectConservation multitemporalen_US
dc.subjectMultispectralen_US
dc.subjectLand useen_US
dc.subjectLand cover.en_US
dc.titleAnalysis of Biomass Degradation as an Indicator of Environmental Challenge of Bilate Watershed Using Gis Techniquesen_US
dc.typeThesisen_US

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