par Owusu, Maxwell;Kuffer, Monika MK;Belgiu, Mariana;Grippa, Taïs 
;Lennert, Moritz ;Georganos, Stefanos ;Vanhuysse, Sabine
Référence Computers, environment and urban systems, 89, page (101681)
Publication Publié, 2021-08-01
;Lennert, Moritz ;Georganos, Stefanos ;Vanhuysse, Sabine Référence Computers, environment and urban systems, 89, page (101681)
Publication Publié, 2021-08-01
Article révisé par les pairs
| Résumé : | 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. |
