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Landuse Change Detection Using GIS, Remote Sensing and Spatial Metrics: Case of Addis Ababa, Ethiopia - Brossura
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The rapid development of urbanization coupled with fast demographic change and high demand for land resource requires landuse information for management and planning of urban regions. The advent of geospatial tools has great potential to long term monitoring and assessment of urban growth and its associated problems in surrounding landcover. This study analyzes landuse change of Addis Ababa, Ethiopia, using GIS, Spatial Metrics and remotely sensed data of landsat TM and ETM acquired, respectively, in 1986 and 2000. The landcover maps with four classes were generated using the Maximum Likelihood Algorithm of Supervised Classification. Overall classification accuracy was tested by Confusion Metrics and Kappa Coefficient. The landcover dynamics in pattern and quantities were analyzed using selected Spatial Metrics units. It has been found that tremendous changes in landcover occurred over the study period. The results indicated that the built-up area expanded by 49% with annual growth rate around 3.5% with significant fragmentation and contagion of small isolated urban patches. Managers and planners could use this data as a decision-support tool for urban and environment management.
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L'autore
Mesfin has obtained his Msc Degree in Geospatial Technologies jointly offered by the University of Muenster, New University of Lisbon, and Jaume I University–2009. He also obtained his additional Msc in Environment and Development from the University of Edinburgh, UK-2010. He is the author of a book called Climate Change-induced Conflict.
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Landuse Change Detection Using GIS, Remote Sensing and Spatial Metrics: Case of Addis Ababa, Ethiopia
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Landuse Change Detection Using GIS, Remote Sensing and Spatial Metrics: Case of Addis Ababa, Ethiopia
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Landuse Change Detection Using GIS, Remote Sensing and Spatial Metrics: Case of Addis Ababa, Ethiopia
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Landuse Change Detection Using GIS, Remote Sensing and Spatial Metrics
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The rapid development of urbanization coupled with fast demographic change and high demand for land resource requires landuse information for management and planning of urban regions. The advent of geospatial tools has great potential to long term monitoring and assessment of urban growth and its associated problems in surrounding landcover. This study analyzes landuse change of Addis Ababa, Ethiopia, using GIS, Spatial Metrics and remotely sensed data of landsat TM and ETM acquired, respectively, in 1986 and 2000. The landcover maps with four classes were generated using the Maximum Likelihood Algorithm of Supervised Classification. Overall classification accuracy was tested by Confusion Metrics and Kappa Coefficient. The landcover dynamics in pattern and quantities were analyzed using selected Spatial Metrics units. It has been found that tremendous changes in landcover occurred over the study period. The results indicated that the built-up area expanded by 49% with annual growth rate around 3.5% with significant fragmentation and contagion of small isolated urban patches. Managers and planners could use this data as a decision-support tool for urban and environment management. 108 pp. Englisch. Codice articolo 9783847336631
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Landuse Change Detection Using GIS, Remote Sensing and Spatial Metrics : Case of Addis Ababa, Ethiopia
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid development of urbanization coupled with fast demographic change and high demand for land resource requires landuse information for management and planning of urban regions. The advent of geospatial tools has great potential to long term monitoring and assessment of urban growth and its associated problems in surrounding landcover. This study analyzes landuse change of Addis Ababa, Ethiopia, using GIS, Spatial Metrics and remotely sensed data of landsat TM and ETM acquired, respectively, in 1986 and 2000. The landcover maps with four classes were generated using the Maximum Likelihood Algorithm of Supervised Classification. Overall classification accuracy was tested by Confusion Metrics and Kappa Coefficient. The landcover dynamics in pattern and quantities were analyzed using selected Spatial Metrics units. It has been found that tremendous changes in landcover occurred over the study period. The results indicated that the built-up area expanded by 49% with annual growth rate around 3.5% with significant fragmentation and contagion of small isolated urban patches. Managers and planners could use this data as a decision-support tool for urban and environment management. Codice articolo 9783847336631
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Landuse Change Detection Using GIS, Remote Sensing and Spatial Metrics
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The rapid development of urbanization coupled with fast demographic change and high demand for land resource requires landuse information for management and planning of urban regions. The advent of geospatial tools has great potential to long term monitoring and assessment of urban growth and its associated problems in surrounding landcover. This study analyzes landuse change of Addis Ababa, Ethiopia, using GIS, Spatial Metrics and remotely sensed data of landsat TM and ETM acquired, respectively, in 1986 and 2000. The landcover maps with four classes were generated using the Maximum Likelihood Algorithm of Supervised Classification. Overall classification accuracy was tested by Confusion Metrics and Kappa Coefficient. The landcover dynamics in pattern and quantities were analyzed using selected Spatial Metrics units. It has been found that tremendous changes in landcover occurred over the study period. The results indicated that the built-up area expanded by 49% with annual growth rate around 3.5% with significant fragmentation and contagion of small isolated urban patches. Managers and planners could use this data as a decision-support tool for urban and environment management.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Codice articolo 9783847336631
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Landuse Change Detection Using GIS, Remote Sensing and Spatial Metrics | Case of Addis Ababa, Ethiopia
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Taschenbuch. Condizione: Neu. Landuse Change Detection Using GIS, Remote Sensing and Spatial Metrics | Case of Addis Ababa, Ethiopia | Mesfin Tadesse Bekalo | Taschenbuch | 108 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847336631 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Codice articolo 106649041
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