The Generic Slum Ontology: Can a Global Slum Repository be created?

D. Kohli*, M. Kuffer, C.M. Gevaert

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
25 Downloads (Pure)


Slums are home to approximately one quarter of the world’s urban population, in most cities of the Global South the majority of the urban population lives in such areas. In support of global slum eradication and transformation policies, such as the SDG goal 11 which aims to reduce slums by ensuring inclusiveness of urban areas and developments, consistent global information about the amount and spatial distribution of slums across cities in the Global South is needed. We explore the generic slum ontology (GSO) and available spatial data to seek for robust and transferable indicators for global slum mapping. The initial results of our analysis demonstrate that indicators such as building density and road characteristics in an image are potentially useful to describe differences between slum and non-slum built-up areas. In conclusion, this study highlights the opportunities of the GSO for the development of a global slum repository but also show the need of local adaptations and hence, the importance of the conceptualization of real-world features into image domain features.
Original languageEnglish
Title of host publicationIEEE - Joint Urban Remote Sensing Event, 2019
Place of PublicationVannes
Number of pages4
ISBN (Electronic)9781728100098
ISBN (Print)978-1-7281-0009-8
Publication statusPublished - Jun 2019
EventJoint Urban Remote Sensing Event, JURSE 2019 - Vannes, France
Duration: 22 May 201924 May 2019


ConferenceJoint Urban Remote Sensing Event, JURSE 2019
Abbreviated titleJURSE 2019
Internet address


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