{"id":1244,"date":"2025-05-09T11:38:49","date_gmt":"2025-05-09T11:38:49","guid":{"rendered":"https:\/\/sola.kau.se\/deprimap\/?p=1244"},"modified":"2025-07-21T08:38:02","modified_gmt":"2025-07-21T08:38:02","slug":"deprimap-jurse2025","status":"publish","type":"post","link":"https:\/\/sola.kau.se\/deprimap\/2025\/05\/09\/deprimap-jurse2025\/","title":{"rendered":"DEPRIMAP presents new insights on Urban Deprivation at JURSE 2025"},"content":{"rendered":"

DEPRIMAP Presents New Insights on Urban Deprivation at JURSE 2025<\/h3>\n\n\n

From May 4-7, 2025, the city of Tunis, Tunisia, hosted the Joint Urban Remote Sensing (JURSE)<\/a><\/strong>, a key conference that brings together experts working at the intersection of remote sensing, urban studies, and spatial analysis. Representing DEPRIMAP, Dr. Stefanos Georganos presented our latest research titled ‘Towards a Spatial Measure of SDG 11.1.1: Open Data for Urban Deprivation Mapping<\/em>‘.<\/p>\n\n\n\n

Authors: S.G. Veeravalli<\/strong>, F. Campomanes, S. Hafner, S. Georganos<\/strong>, M. Kuffer, J. Friesen, D. R Thomson, R. Ndugwa, D. Mwaniki, A. Abascal, P. Elias, T. E. Morakinyo, J. Pedrassoli, G. de Oliveria, A. Boanada-Fuchs, B. Zerjav, J. M. D\u2019Attoli<\/em><\/p>\n\n\n\n

This work builds on collaborative efforts initiated during the October 2024 Workshop in St. Gallen, Switzerland<\/a>, which focused on scalable approaches to identify and monitor deprived urban areas (DUAs) across the Global South. The JURSE platform offered a valuable opportunity to present our approach to a wider audience and to share new findings that advance the spatial monitoring of SDG 11.1.1, which targets access to adequate, safe, and affordable housing for all.<\/p>\n\n\n\n

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\ud83d\udef0\ufe0f <\/strong>Mapping Deprivation with Open Data: Key Insights from the Study<\/h3>\n\n\n\n
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At the heart of the study is a geospatial framework designed to assess urban deprivation by operationalising a set of indicators tied to ‘unplanned urbanization’, and ‘infrastruture’ domains of the domains of deprivation framework<\/a>. Using open and globally available datasets including Google Open Buildings 2.5D dataset<\/a>, Google Open Buildings V3 dataset<\/a>, ESA WorldCover v200<\/a>, and OpenStreetMap roads<\/a>, the framework computes a composite derivation score across standardised city segments. Each segment is evaluated on six indicators:<\/p>\n\n\n\n