The rapid development of urbanization coupled with fast demographic change and high demand for land resource requires landuse information for management and planning activities of urban regions. Remote sensing has great potential to long term monitoring and assessment of urban growth and its associated problems in surrounding landcover. This study analyzes urban landuse/landcover change of central region of Ethiopia using landsat TM and ETM+ acquired respectively in 1985, 1989, 1995, 1999, 2003 and 2010. The satellite images have been pre-processed using calibration techniques and by performing geometric and atmospheric corrections .The landcover maps with six classes were generated using the Maximum Likelihood Algorithm of Supervised Classification. Overall classification accuracy was tested by Confusion Metrics and Kappa Coefficient. It has been found that a change in landcover occurred over the study period. The results, even if characterized by a modest reliability due to misclassification issues, indicated an annual urban growth rate of an average 17.02km2/year and spread of small and isolated urban patches. Due to seasonal variations, the vegetation cover and crop land observed a high variability in evolution trends, although the barren land has shows a decreasing in some years and also increasing in other years in the landuse and land cover map .The derived Land use land cover map and change statistics report can provide general information on the overall land use land cover of the area, which could be possibly useful (when adopting more reliable classification approaches) a decision-support tool for urban and environment management.
The rapid development of urbanization coupled with fast demographic change and high demand for land resource requires landuse information for management and planning activities of urban regions. Remote sensing has great potential to long term monitoring and assessment of urban growth and its associated problems in surrounding landcover. This study analyzes urban landuse/landcover change of central region of Ethiopia using landsat TM and ETM+ acquired respectively in 1985, 1989, 1995, 1999, 2003 and 2010. The satellite images have been pre-processed using calibration techniques and by performing geometric and atmospheric corrections .The landcover maps with six classes were generated using the Maximum Likelihood Algorithm of Supervised Classification. Overall classification accuracy was tested by Confusion Metrics and Kappa Coefficient. It has been found that a change in landcover occurred over the study period. The results, even if characterized by a modest reliability due to misclassification issues, indicated an annual urban growth rate of an average 17.02km2/year and spread of small and isolated urban patches. Due to seasonal variations, the vegetation cover and crop land observed a high variability in evolution trends, although the barren land has shows a decreasing in some years and also increasing in other years in the landuse and land cover map .The derived Land use land cover map and change statistics report can provide general information on the overall land use land cover of the area, which could be possbily useful (when adopting more reliable classification approaches) a decision-support tool for urban and environment management.
Multitemporal remote sensing analysis of land cover features evolution in central Ethiopia region
FISEHA, ZERAYOHANES GIRMA
2011/2012
Abstract
The rapid development of urbanization coupled with fast demographic change and high demand for land resource requires landuse information for management and planning activities of urban regions. Remote sensing has great potential to long term monitoring and assessment of urban growth and its associated problems in surrounding landcover. This study analyzes urban landuse/landcover change of central region of Ethiopia using landsat TM and ETM+ acquired respectively in 1985, 1989, 1995, 1999, 2003 and 2010. The satellite images have been pre-processed using calibration techniques and by performing geometric and atmospheric corrections .The landcover maps with six classes were generated using the Maximum Likelihood Algorithm of Supervised Classification. Overall classification accuracy was tested by Confusion Metrics and Kappa Coefficient. It has been found that a change in landcover occurred over the study period. The results, even if characterized by a modest reliability due to misclassification issues, indicated an annual urban growth rate of an average 17.02km2/year and spread of small and isolated urban patches. Due to seasonal variations, the vegetation cover and crop land observed a high variability in evolution trends, although the barren land has shows a decreasing in some years and also increasing in other years in the landuse and land cover map .The derived Land use land cover map and change statistics report can provide general information on the overall land use land cover of the area, which could be possibly useful (when adopting more reliable classification approaches) a decision-support tool for urban and environment management.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/45164