Articles dans des revues avec comité de lecture (74)
  1. 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
  2. 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
  3. 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
  4. 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.
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
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