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Spatial metrics and Landsat data for urban landuse change detection: case of Addis Ababa, Ethiopia.

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Resumo: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. 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 urban landuse/landcover change of Addis Ababa, Ethiopia, using 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 to 49% with annual growth rate around 3.5% with significant fragmentation and contagion of small and isolated urban patches. Managers and planners could use this data as a decision-support tool for urban and environment management.
Autores principais:Bekalo, Mesfin Tadesse
Assunto:Image classification Landuse/landcover map Remote sensing Spatial metrics
Ano:2009
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL

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