Articles dans des revues avec comité de lecture (37)
  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. 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
  5. 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
  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. 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
  9. 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
  10. 10. Owusu, M., Kuffer, M. M., Belgiu, M., Grippa, T., Lennert, M., Georganos, S., & Vanhuysse, S. (2021). Towards user-driven earth observation-based slum mapping. Computers, environment and urban systems, 89, 101681. doi:10.1016/j.compenvurbsys.2021.101681
  11. 11. 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
  12. 12. 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
  13. 13. Kuffer, M. M., Vanhuysse, S., Georganos, S., & Wang, J. (2021). Meeting user requirements for mapping and characterizing deprived urban areas in support of pro-poor policies. GI_Forum, 9(1), 85-93. doi:10.1553/GISCIENCE2021_01_S85
  14. 14. Georganos, S., Brousse, O., Dujardin, S., Linard, C., Casey, D., Milliones, M., Parmentier, B., Van Lipzig, N. P. M., Demuzere, M., Grippa, T., Vanhuysse, S., Mboga, N. O., Andreo, V., Snow, R. W. B. R., & Lennert, M. (2020). Modelling and mapping the intra-urban spatial distribution of Plasmodium falciparum parasite rate using very-high-resolution satellite derived indicators. International Journal of Health Geographics, 19(1), 38. doi:10.1186/s12942-020-00232-2
  15. 15. 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
  16. 16. Kuffer, M. M., Thomson, D., Boo, G., Mahabir, R., Grippa, T., Vanhuysse, S., Engstrom, R., Ndugwa, R., Makau, J., Darin, E., de Albuquerque, J. P., & Kabaria, C. C. (2020). The role of earth observation in an integrated deprived area mapping "system" for low-to-middle income countries. Remote Sensing, 12(6), 982. doi:10.3390/rs12060982
  17. 17. 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
  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. Mboga, N. O., Georganos, S., Grippa, T., Lennert, M., Vanhuysse, S., & Wolff, E. (2019). Fully convolutional networks and geographic object-based image analysis for the classification of VHR imagery. Remote Sensing, 11(5), 597. doi:10.3390/rs11050597
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