Abstract
Earth observation (EO) capabilities to produce up-to-date geographical information on slums over large areas supporting urban planning and evidence-based policymaking are largely acknowledged. Most EO studies typically use a data-driven approach without an understanding of end-user requirements. This study addresses this gap by aligning EO methods with societal needs and concerns using a user-driven approach in Accra, Ghana. By carrying out in-situ observations and slum experts interviews, we produced a user-driven slum map that meets potential users' expectations. To do so, we used a random forest classifier, SPOT 6 imagery, and ancillary geospatial data such as OpenStreetMap information. The overall classification accuracy for the user-driven approach reached 84%. The results show that the addition of local context-knowledge, end-user requirements, and geo-ethics, help to better contextualise and conceptualise slums. Our research demonstrates an approach of slum mapping that is reflective and open to societal needs and concerns.
Original language | English |
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Article number | 101681 |
Pages (from-to) | 101681 |
Number of pages | 1 |
Journal | Computers, environment and urban systems |
Volume | 89 |
Early online date | 20 Jul 2021 |
DOIs | |
Publication status | Published - 1 Sept 2021 |
Keywords
- Slums
- Local context-knowledge
- End-user requirement
- Geo-ethics
- Urban remote sensing
- Geoinformation
- Accra
- UT-Hybrid-D
- ITC-ISI-JOURNAL-ARTICLE
- ITC-HYBRID