Gis and Remote Sensing Based Analysis of Populatin and Environmental Change: The Case of Jarmet Wetland and Its Surrounding Environments in Western Ethiopia
| dc.contributor.advisor | Legass, Asmamaw (PhD) | |
| dc.contributor.author | Kumsa, Amanuel | |
| dc.date.accessioned | 2018-06-29T07:02:09Z | |
| dc.date.accessioned | 2023-11-19T12:04:59Z | |
| dc.date.available | 2018-06-29T07:02:09Z | |
| dc.date.available | 2023-11-19T12:04:59Z | |
| dc.date.issued | 2015-06 | |
| dc.description.abstract | Wetlands are one of the crucial natural resources. They provide invaluable biodiversity resources, aid in water quality improvement, support ground water recharge, help in moderating climate change and support flood control. Environment is in the other hand, where we live and something we are very familiar with our day to day life. The change of those natural resources are a result of population growth, unwise use of natural resources, lack of conservation policy implementation and unsustainable cultivation. GIS, Remote Sensing and GPS were a useful tool for wetland and environmental change analysis and to improve on the classification accuracy. This study investigate population and environmental change of Jarmet wetland and its surrounding area change analysis over the period of 1972 to 2015. The purpose of this study was to show land use/ land cover change of Jarmet wetland and its surrounding environment over years as a response to population growth. For this purpose multi-temporal satellite imageries (Landsat MSS 1972, TM1986, ETM+ 2000, 2005 and 2015 and SRTM 2000) were obtained and used for LULC change analysis, elevation analysis and change detection analysis. ERDAS Imagine 2010, ARC GIS 9.3, Global Mapper11, ENVI 4.7, and DNR Garmin softwares were used to process the image data and accuracy assessment analysis. The result of LULC showed that there is spatial reduction in wetland, forest, Shrubland and grassland in the period of 43 years (1972-2015) by -1,722.8 ha, -296.2 ha, -1,718.7 ha and -661.9 ha respectively, due to increase in the farmland and plantation area as a response to overpopulation, lack of environmental policy implementation and irresponsible for natural resource degradation. The accuracy assessment of LULC change are done for recent satellite image showed that the overall accuracy 84.06% with Kappa index 75.19% this means this classification is accurately classified and handle greater than 75% of error. Depend on the problem of selection and generalization we can’t achieve accuracy 100%. Finally, this study suggests that create strictly natural resource conservation law, stopping illegal expansion of farmland, educating society about the value of natural resource especially wetland and create a source of income for society rather than farming. Keywords: GIS, Remote Sensing, Jarmet and others wetland change, Environmental change, population growth, LULC change, Change Detection analysis, Accuracy Assessment Analysis | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/12345678/4873 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | GIS | en_US |
| dc.subject | Remote Sensing | en_US |
| dc.subject | Jarmet and Others Wetland Change | en_US |
| dc.subject | Environmental Change | en_US |
| dc.subject | Change Detection Analysis | en_US |
| dc.subject | Accuracy Assessment Analysis | en_US |
| dc.title | Gis and Remote Sensing Based Analysis of Populatin and Environmental Change: The Case of Jarmet Wetland and Its Surrounding Environments in Western Ethiopia | en_US |
| dc.type | Thesis | en_US |