Mapping and assessment of informal settlements using object-based image analysis, a case study of Mamelodi, Tshwane, South Africa

dc.contributor.authorMudau, Naledzani
dc.contributor.supervisorMhangara, Paida
dc.date.accessioned2024-10-28T09:13:39Z
dc.date.available2024-10-28T09:13:39Z
dc.date.issued2024
dc.descriptionA thesis submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfillment of the requirements for the degree of Doctor of Philosophy, Johannesburg 2024
dc.description.abstractThe social and environmental challenges faced by people living in informal settlements or slums are widely recognized by development agendas including United Nations Sustainable Development Goals, Agenda 2063 and National Development Plans. The study aims to investigate informal settlement dynamics and spatial characteristics to generate an understanding of housing informality and environmental conditions for designing innovative sustainable solutions. The study assessed the use of 12 spectral indices and textural measures, and object-based image analysis (OBIA) technique to detect informal settlements from WorldView 2 images. A growth indicator that uses informal settlement extent and impervious surface was developed and used to assess informal settlement growth patterns between 2005 to 2020. Unmanned aerial vehicle image products, and landscape metrics were used to assess the spatial characteristics and patterns of backyard shacks and free-standing informal settlement structures. In addition, a settlement surface ecological index was developed and used to assess the ecological conditions of informal settlements. Lastly, the assessment of the location characteristics of informal settlements was done using ancillary data. The results show that the use of built-up index, coastal blue index and first order statistics mean textural measures and OBIA technique detected informal settlements with producer and user accuracies of 95% and 82% respectively. The developed informal settlement growth assessment indicator shows that informal settlement in 2020 had a slightly lower density of impervious surfaces than in 2005. The Euclidean Nearest-Neighbour Distance, Aggregation Index and Cohesion Index show that backyard shacks are less connected, less dense, and more isolated than freestanding informal settlement structures. Some informal settlements have better surface ecological conditions than some of the formal settlements. A higher extent of informal settlements continued to develop closer to formal settlements, rivers and railway lines between 2015 and 2020. The information demonstrated in this study can be used by local authorities to better understand and manage informal settlement developments, prioritize settlement upgrade projects and improve the environmental conditions and resilience of informal settlements
dc.description.submitterMM2024
dc.facultyFaculty of Science
dc.identifierhttps://orcid.org/ 0000-0001-8304-361x
dc.identifier.citationMudau, Naledzani. (2024). Mapping and assessment of informal settlements using object-based image analysis, a case study of Mamelodi, Tshwane, South Africa [Master’s dissertation, University of the Witwatersrand, Johannesburg]. WireDSpace.
dc.identifier.urihttps://hdl.handle.net/10539/42006
dc.language.isoen
dc.publisherUniversity of the Witwatersrand, Johannesburg
dc.rights© 2024 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg.
dc.schoolSchool of Geography, Archaeology and Environmental Sciences
dc.subjectOBIA
dc.subjectHousing informality
dc.subjectInformal settlements
dc.subjectEcological condition
dc.subjectUAV
dc.subjectUCTD
dc.subject.otherSDG-8: Decent work and economic growth
dc.titleMapping and assessment of informal settlements using object-based image analysis, a case study of Mamelodi, Tshwane, South Africa
dc.typeThesis
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Mudau_Mapping_2024.pdf
Size:
7.86 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.43 KB
Format:
Item-specific license agreed upon to submission
Description: