How dynamic are slums? EO-based assessment of Kibera’s morphologic transformation

  title={How dynamic are slums? EO-based assessment of Kibera’s morphologic transformation},
  author={N. J. Kraff and H. Taubenb{\"o}ck and M. Wurm},
  journal={2019 Joint Urban Remote Sensing Event (JURSE)},
  • N. J. Kraff, H. Taubenböck, M. Wurm
  • Published 2019
  • Geography, Computer Science
  • 2019 Joint Urban Remote Sensing Event (JURSE)
  • Urban morphologies change over time. The dynamics and nature of morphological changes in informal settlements or slums have largely not been scientifically investigated. Consequently, it is necessary to fill the gap of the international demand for timeline analysis. In this work, earth observation (EO) is used to discover morphologic changes within eight years (2006-2014) in Nairobi’s major slum Kibera. Research mostly handles automated detection but in this study the classical visual image… CONTINUE READING
    4 Citations

    Figures and Topics from this paper.

    Slums, Space, and State of Health—A Link between Settlement Morphology and Health Data
    • 6
    • PDF
    Satellite-Based Mapping of Urban Poverty With Transfer-Learned Slum Morphologies
    Uncertainties of Human Perception in Visual Image Interpretation in Complex Urban Environments


    The physical face of slums: a structural comparison of slums in Mumbai, India, based on remotely sensed data
    • 110
    Slums from Space - 15 Years of Slum Mapping Using Remote Sensing
    • 148
    • PDF
    The similar size of slums
    • 35
    • PDF
    An ontology of slums for image-based classification
    • 184
    • Highly Influential
    • PDF
    Monitoring and modelling of informal settlements - A review on recent developments and challenges
    • 27
    Determining the Relationship Between Census Data and Spatial Features Derived From High-Resolution Imagery in Accra, Ghana
    • Avery Sandborn, R. Engstrom
    • Computer Science
    • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • 2016
    • 28