Peer-reviewed journal articles (74)
  1. 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
  2. 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
  3. 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
  4. 4. Morlighem, C., Chaiban, C., Georganos, S., Brousse, O., Van de Walle, J., Van Lipzig, N. P. M., Wolff, E., Dujardin, S., & Linard, C. (2022). The Multi-Satellite Environmental and Socioeconomic Predictors of Vector-Borne Diseases in African Cities: Malaria as an Example. Remote Sensing, 14(21), 5381. doi:10.3390/rs14215381
  5. 5. Demissie, B., Nyssen, J., Annys, S., Negash, E., Gebrehiwet, T., Abay, F., & Wolff, E. (2022). Geospatial solutions for evaluating the impact of the Tigray conflict on farming. Acta Geophysica. doi:10.1007/s11600-022-00779-7
  6. 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
  7. 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
  8. 8. Depicker, A., Jacobs, L., Mboga, N. O., Smets, B., Van Rompaey, A., Lennert, M., Wolff, E., Kervyn, F., Michellier, C., Dewitte, O., & Govers, G. (2021). Author Correction: Historical dynamics of landslide risk from population and forest-cover changes in the Kivu Rift (Nature Sustainability, (2021), 10.1038/s41893-021-00757-9). Nature Sustainability, 4(10), 920. doi:10.1038/s41893-021-00788-2
  9. 9. Mboga, N. O., D’Aronco, S., Grippa, T., Pelletier, C., Georganos, S., Vanhuysse, S., Wolff, E., Smets, B., Dewitte, O., Lennert, M., & Wegner, J. D. (2021). Domain Adaptation for Semantic Segmentation of Historical Panchromatic Orthomosaics in Central Africa. ISPRS International Journal of Geo-Information, 10(8), 523. doi:10.3390/ijgi10080523
  10. 10. Muhindo Syavulisembo, A., Kervyn, F., Lennert, M., Wolff, E., & Michellier, C. (2021). Spatio-temporal location of population: Strengthening the capacities of sudden hazards risk management in Goma, DRC. International journal of disaster risk reduction, 66.
  11. 11. Georganos, S., Grippa, T., Niang Gadiaga, A., Linard, C., Lennert, M., Vanhuysse, S., Mboga, N. O., Wolff, E., & Kalogirou, S. (2021). Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling. Geocarto international, 36(2), 121-136. doi:doi.org/10.1080/101106049.2019.1595177
  12. 12. Depicker, A., Jacobs, L., Mboga, N. O., Smets, B., Van Rompaey, A., Lennert, M., Wolff, E., Kervyn, F., Michellier, C., Dewitte, O., & Govers, G. (2021). Historical dynamics of landslide risk from population and forest-cover changes in the Kivu Rift. Nature Sustainability, 4(11), 965-974. doi:10.1038/s41893-021-00757-9
  13. 13. Bassine, C., Radoux, J., Beaumont, B., Grippa, T., Lennert, M., Champagne, C., De Vroey, M., Martinet, A., Bouchez, O., Deffense, N., Hallot, E., Wolff, E., & Defourny, P. (2020). First 1-M Resolution Land Cover Map Labeling the Overlap in the 3rd Dimension: The 2018 Map for Wallonia. Data, 5(4), 117. doi:10.3390/data5040117
  14. 14. Mboga, N. O., Grippa, T., Georganos, S., Vanhuysse, S., Smets, B., Dewitte, O., Wolff, E., & Lennert, M. (2020). Fully convolutional networks for land cover classification from historical panchromatic aerial photographs. ISPRS journal of photogrammetry and remote sensing, 167, 385-395. doi:10.1016/j.isprsjprs.2020.07.005
  15. 15. Michellier, C., Kervyn, M., Barette, F., Muhindo Syavulisembo, A., Kimanuka, C., Kulimushi Mataboro, S., Hage, F., Wolff, E., & Kervyn, F. (2020). Evaluating population vulnerability to volcanic risk in a data scarcity context: The case of Goma city, Virunga volcanic province (DRCongo). International journal of disaster risk reduction, 45, 101460. doi:10.1016/j.ijdrr.2019.101460
  16. 16. Georganos, S., Gadiaga, A., Linard, C., Grippa, T., Vanhuysse, S., Mboga, N. O., Wolff, E., Dujardin, S., & Lennert, M. (2019). Modelling the Wealth Index of Demographic and Health Surveys within Cities Using Very High-Resolution Remotely Sensed Information. Remote Sensing, 11(21), 2543. doi:10.3390/rs11212543
  17. 17. Lennert, M., Grippa, T., Radoux, J., Bassine, C., Beaumont, B., Defourny, P., & Wolff, E. (2019). Creating Wallonia's New Very High Resolution Land Cover Maps: Combining GRASS GIS OBIA and OTB Pixel-Based Results. The international archives of the photogrammetry, remote sensing and spatial information sciences, 42(4/W14), 151-157. doi:10.5194/isprs-archives-XLII-4-W14-151-2019
  18. 18. Thomson, D., Linard, C., Vanhuysse, S., Steele, J., Shimoni, M., Siri, J., Caiaffa, W. T., Rosenberg, M., Wolff, E., Grippa, T., Georganos, S., & Elsey, H. (2019). Extending Data for Urban Health Decision-Making: a Menu of New and Potential Neighborhood-Level Health Determinants Datasets in LMICs. Journal of urban health, 96(4), 514-536. doi:10.1007/s11524-019-00363-3
  19. 19. Georganos, S., Grippa, T., Gadiaga, A., Linard, C., Lennert, M., Vanhuysse, S., Wolff, E., & Kalogirou, S. (2019). Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling. Geocarto international. doi:10.1080/10106049.2019.1595177
  20. 20. Hallo, E., Close, O., Grippa, T., Beaumont, B., Stephenne, N., & Wolff, E. (2019). Cartographie détaillée de la densité de population: comparaison de méthodes dasymétriques. Dynamiques régionales,(9).
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