Peer-reviewed journal articles (13)
1.
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/s41893-021-00788-22.
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/ijgi100805233.
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/10.1080/101106049.2019.15951774.
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/s41893-021-00757-95.
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/s12942-020-00232-26.
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.2020.07.0057.
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/SOCSCI90500808.
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/rs112125439.
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.v110.
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/rs1105059711.
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/data401001312.
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 Papers published in national and international conferences or symposium proceedings (4)
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Grippa, T., Lennert, M., Georganos, S., Mboga, N. O., Vanhuysse, S., & Wolff, E. (2019). Mapping slums and model population density using earth observation data and open source solutions. In Proceedings of JURSE 2019 conference IEEE. doi:10.1109/JURSE.2019.88089342.
Mboga, N. O., Georganos, S., Grippa, T., Lennert, M., Vanhuysse, S., & Wolff, E. (2019). Weakly supervised fully convolutional networks using OBIA classification output. In Proceedings of the 2019 Joint Urban Remote Sensing Event (JURSE) conference IEEE. doi:10.1109/JURSE.2019.88090003.
Mboga, N. O., Georganos, S., Grippa, T., Lennert, M., Vanhuysse, S., & Wolff, E. (2018). Fully convolutional networks for the classification of historical panchromatic aerial photographs. Proceedings of the GEOBIA 2018 conference GEOBIA(2018: June 18-22, 2018: Montpellier) Active participation in international conferences and symposiums (5)
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Vanhuysse, S., Grippa, T., Kuffer, M. M., Georganos, S., Mboga, N. O., Wolff, E., & Lennert, M. (2021). Assessing the Capabilities of Sentinel-1 and 2 for Citywide Slum Mapping with Machine Learning. Paper session presented at EARSeL Joint Workshop - Earth Observation for Sustainable Cities and Communities (Liège, Belgium).2.
Mboga, N. O., Grippa, T., Georganos, S., Vanhuysse, S., Smets, B., Dewitte, O., Wolff, E., & Lennert, M. (2021). Fully Convolutional Networks For Landcover Classification From Historical Black And White Aerial Photographs Of Central Africa. Paper session presented at EARSeL Joint Workshop - Earth Observation for Sustainable Cities and Communities (Liège, Belgium).3.
Georganos, S., Gadiaga, A., Linard, C., Grippa, T., Vanhuysse, S., Mboga, N. O., Wolff, E., Dujardin, S., & Lennert, M. (2021). Household Wealth in HD: Mapping the Demographic and Health Surveys Wealth Index in Sub-Saharan African Cities with Very-High-Resolution Satellite Data. Paper session presented at EARSeL Joint Workshop - Earth Observation for Sustainable Cities and Communities (Liège, Belgium).