Articles dans des revues avec comité de lecture (35)
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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/data504011714.
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/s12942-020-00232-215.
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.2020.07.00516.
Thomson, D., Kuffer, M. M., Boo, G., Hati, B., Grippa, T., Elsey, H., Linard, C., Mahabir, R., Kyobutungi, C., Maviti, J., Mwaniki, D., Ndugwa, R., Makau, J., Sliuzas, R., Cheruiyot, S., Nyambuga, K., Mboga, N. O., Kimani, N. W., de Albuquerque, J. P., & Kabaria, C. C. (2020). Need for an integrated deprived area "slum" mapping system (IDEAMAPS) in low-and middle-income countries (LMICS). Social Sciences, 9(5), 80. doi:10.3390/SOCSCI905008017.
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/rs1206098218.
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/rs1121254319.
Thomson, D., Kuffer, M. M., Boo, G., Hati, B., Grippa, T., Elsey, H., Linard, C., Mahabir, R., Kyobutungi, C., Mulandi, J., Mwaniki, D., Ndugwa, R., Makau, J., Sliuzas, R., Cheruiyot, S., Nyambuga, K., Mboga, N. O., Wanjiru, N., De Albuquerque, J. P., & Kabaria, C. (2019). Critical Commentary: Need for an Integrated Deprived Area "Slum" Mapping System (IDeAMapS) in LMICs. Preprints. doi:10.20944/preprints201910.0242.v120.
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-W14-151-201921.
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/s11524-019-00363-322.
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:10.1080/10106049.2019.159517723.
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).