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Spatial metrics and Landsat data for urban landuse change detection: case of Addis Ababa, Ethiopia.
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| 3.44 MB | Adobe PDF |
Autores
Resumo(s)
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.
Descrição
Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.
Palavras-chave
Image classification Landuse/landcover map Remote sensing Spatial metrics