Parties d'ouvrages collectifs (3)
  1. 1. Vanhuysse, S., Wolff, E., Kuffer, M., Georganos, S., Wang, J., Grippa, T., & Abascal, A. (2024). Putting the Invisible on the Map: Low-Cost Earth Observation for Mapping and Characterizing Deprived Urban Areas (Slums). In Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 119-137). Springer. doi:10.1007/978-3-031-49183-2_7
  2. 2. Abascal, A., Georganos, S., Kuffer, M. M., Vanhuysse, S., Thomson, D., Wang, J., Manyasi, L., Otunga, D. M., Ochieng, B., Ochieng, T., Klinnert, J., & Wolff, E. (2024). Making Urban Slum Population Visible: Citizens and Satellites to Reinforce Slum Censuses. In Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 287-302). Springer International Publishing. doi:10.1007/978-3-031-49183-2_14
  3. 3. Kuffer, M. M., Abascal, A., Vanhuysse, S., Georganos, S., Wang, J., Thomson, D. R., Boanada, A., & Roca, P. (2023). Data and Urban Poverty: Detecting and Characterising Slums and Deprived Urban Areas in Low- and Middle-Income Countries. In Advanced Remote Sensing for Urban and Landscape Ecology (pp. 1-22). Springer Nature Singapore. doi:10.1007/978-981-99-3006-7_1
    4.   Articles dans des revues avec comité de lecture (39)
  4. 1. Sampson, S. A., Wang, J., Abascal, A., Kuffer, M., Rodriguez, I., Georganos, S., Wolff, E., & Vanhuysse, S. (2026). Toward transferable EO-based modelling of intra-slum air temperature using citizen-science data: evidence from Nairobi and Lagos. Urban climate, 69, 103118. doi:10.1016/j.uclim.2026.103118
  5. 2. Sampson, S. A., Abascal, A., Wang, J., Vanhuysse, S., Rodriguez-Carreño, I., Garcia Ruiz, I., & Kuffer, M. (2025). Using Low-Cost Sensors and Citizen Science: Assessing Thermal Inequality in African Slums. The international archives of the photogrammetry, remote sensing and spatial information sciences, XLVIII-M-7-2025, 229-236. doi:10.5194/isprs-archives-XLVIII-M-7-2025-229-2025
  6. 3. Abascal, A., Vanhuysse, S., Grippa, T., Rodriguez-Carreño, I., Georganos, S., Wang, J., Kuffer, M. M., Martinez-Diez, P., Santamaria-Varas, M., & Wolff, E. (2024). AI perceives like a local: predicting citizen deprivation perception using satellite imagery. npj urban sustainability, 4(1). doi:10.1038/s42949-024-00156-x
  7. 4. Demissie, B., Vanhuysse, S., Grippa, T., Flasse, C., & Wolff, E. (2023). Using Sentinel-1 and Google Earth Engine cloud computing for detecting historical flood hazards in tropical urban regions: a case of Dar es Salaam. Geomatics, Natural Hazards and Risk, 14(1). doi:10.1080/19475705.2023.2202296
  8. 5. Vanhuysse, S., Diédhiou, S. M., Grippa, T., Georganos, S., Konaté, L., Niang, E. H. A., & Wolff, E. (2023). Fine-scale mapping of urban malaria exposure under data scarcity: an approach centred on vector ecology. Malaria journal, 22(1). doi:10.1186/s12936-023-04527-0
  9. 6. Kabiru, P., Kuffer, M. M., Sliuzas, R., & Vanhuysse, S. (2023). The relationship between multiple hazards and deprivation using open geospatial data and machine learning. Natural hazards. doi:10.1007/s11069-023-05897-z
  10. 7. Wang, J., Georganos, S., Kuffer, M. M., Abascal, A., & Vanhuysse, S. (2022). On the knowledge gain of urban morphology from space. Computers, environment and urban systems, 95, 101831. doi:10.1016/j.compenvurbsys.2022.101831
  11. 8. Abascal, A., Rodríguez-Carreño, I., Vanhuysse, S., Georganos, S., Sliuzas, R., Wolff, E., & Kuffer, M. M. (2022). Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas. Computers, environment and urban systems, 95, 101820. doi:10.1016/j.compenvurbsys.2022.101820
  12. 9. Georganos, S., Abascal, A., Kuffer, M. M., Wang, J., Owusu, M., Wolff, E., & Vanhuysse, S. (2021). Is it all the same? Mapping and characterizing deprived urban areas using worldview-3 superspectral imagery. a case study in nairobi, kenya. Remote Sensing, 13(24), 4986. doi:10.3390/rs13244986
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