Articles dans des revues avec comité de lecture (35)
  1. 9. Brousse, O., Georganos, S., Demuzere, M., Dujardin, S., Lennert, M., Linard, C., Snow, R. R., Thiery, W., & Van Lipzig, N. P. M. (2020). Can we use Local Climate Zones for predicting malaria prevalence across sub-Saharan African cities? Environmental Research Letters, 15(12), 124051. doi:10.1088/1748-9326/abc996
  2. 10. 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
  3. 11. 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
  4. 12. 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
  5. 13. 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
  6. 14. 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
  7. 15. Beaumont, B., Grippa, T., Lennert, M., Stephenne, N., Zarougui, S., Jasselette, J.-C., Van de Vyvere, L., & Wolff, E. (2019). Vers une méthodologie opérationnelle de cartographie de l'occupation et de l'utilisation du sol en Wallonie. Dynamiques régionales,(9).
  8. 16. 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
  9. 17. Grippa, T., Linard, C., Lennert, M., Georganos, S., Mboga, N. O., Vanhuysse, S., Gadiaga, A., & Wolff, E. (2019). Improving Urban Population Distribution Models with Very-High Resolution Satellite Information. Data., 4(1), 13. doi:10.3390/data4010013
  10. 18. Georganos, S., Grippa, T., Lennert, M., Vanhuysse, S., Johnson, B. A., & Wolff, E. (2018). Scale matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for large and heterogeneous satellite images. Remote Sensing, 10(9), 1440. doi:10.3390/rs10091440
  11. 19. Grippa, T., Georganos, S., Zarougui, S., Bognounou, P., Diboulo, E., Forget, Y., Lennert, M., Vanhuysse, S., Mboga, N. O., & Wolff, E. (2018). Mapping Urban Land Use at Street Block Level Using OpenStreetMap, Remote Sensing Data, and Spatial Metrics. ISPRS International Journal of Geo-Information, 7(7). doi:10.3390/ijgi7070246
  12. 20. Georganos, S., Grippa, T., Vanhuysse, S., Lennert, M., Shimoni, M., & Wolff, E. (2018). Very-High-Resolution Object-Based Land Use-Land Cover Urban Classification using Extreme Gradient Boosting. IEEE geoscience and remote sensing letters, 15(4), 607-611. doi:10.1109/LGRS.2018.2803259
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