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 (37)
  4. 1. 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
  5. 2. 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
  6. 3. 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
  7. 4. 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
  8. 5. 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
  9. 6. 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
  10. 7. 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
  11. 8. Merodio Gómez, P., Juarez Carrillo, O. J., Kuffer, M. M., Thomson, D., Olarte Quiroz, J. L., Villaseñor García, E., Vanhuysse, S., Abascal, A., Oluoch, I., Nagenborg, M., Persello, C., & Brito, P. L. (2021). Earth Observations and Statistics: Unlocking Sociodemographic Knowledge through the Power of Satellite Images. Sustainability, 13(22), 12640. doi:10.3390/su132212640
  12. 9. Kuffer, M. M., Wang, J., Thomson, D. R., Georganos, S., Abascal, A., Owusu, M., & Vanhuysse, S. (2021). Spatial Information Gaps on Deprived Urban Areas (Slums) in Low-and-Middle-Income-Countries: A User-Centered Approach. Urban Science, 5(4), 72. doi:10.3390/urbansci5040072
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