• Earth and Planetary Sciences

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    • Area
    • Cartography
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AI perceives like a local: predicting citizen deprivation perception using satellite imagerynpj Urban Sustainability, 4(1), Article 20, 1-14. Abascal, A., Vanhuysse, S., Grippa, T., Rodriguez-Carreño, I., Georganos, S., Wang, J., Kuffer, M., Martinez-Diez, P., Santamaria-Varas, M. & Wolff, E. Urban Slum Population Visible: Citizens and Satellites to Reinforce Slum CensusesIn Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 287-302). Abascal, A., Georganos, S., Kuffer, M., Vanhuysse, S., Thomson, D., Wang, J., Manyasi, L., Otunga, D. M., Ochieng, B., Ochieng, T., Klinnert, J. & Wolff, E. of Unmonitored Graveyards in VHR Satellite Data Using Fully Convolutional NetworksIn Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 167-188). Debray, H., Kuffer, M., Klaufus, C., Persello, C., Wurm, M., Taubenböck, H. & Pfeffer, K. the Invisible on the Map: Low-Cost Earth Observation for Mapping and Characterizing Deprived Urban Areas (Slums)In Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 119-137). Vanhuysse, S., Kuffer, M., Georganos, S., Wang, J., Abascal, A., Grippa, T. & Wolff, E. and Peri-Urban? Investigation of the Location of Informal Settlements Using Two DatabasesIn Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 77-98). Samper, J., Kuffer, M. & Boanada-Fuchs, A. a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learningComputers, environment and urban systems, 109, Article 102075, 102075. Owusu, M., Nair, A., Jafari, A., Thomson, D., Kuffer, M. & Engstrom, R. Global Estimate of the Size and Location of Informal SettlementsUrban Science, 8(1), Article 18, 1-17. Boanada-Fuchs, A., Kuffer, M. & Samper, J. Impact of Respondentsā€™ Background Towards Slum Conceptualisations and Transferability Measurement of Remote Sensingā€“Based Slum Detections. Case Study: Jakarta, IndonesiaIn Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 139-166). Springer. Pratomo, J., Pfeffer, K. & Kuffer, M.
Capturing deprived areas using unsupervised machine learning and open data: a case study in SĆ£o Paulo, BrazilEuropean Journal of Remote Sensing , 56(1), Article 2214690. Trento Oliveira, L., Kuffer, M., Schwarz, N. & Pedrassoli, J. C. Deprived Urban Areas Using Open Geospatial Data and Machine Learning in AfricaUrban Science, 7(4), Article 116. Owusu, M., Engstrom, R., Thomson, D., Kuffer, M. & Mann, M. L. relationship between multiple hazards and deprivation using open geospatial data and machine learningNatural hazards, 119(2), 907-941. Kabiru, P., Kuffer, M., Sliuzas, R. & Vanhuysse, S. the Invisibles: Global urban inequalities through night lightsIn 2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE. Abascal, A., Kyba, C., Hölker, F., Kuffer, M., Arroyo, H. L., Walczak, K., De Miguel, A. S., Degen, T. & Roman, M. O. Geo-spatial modelling of urban povertyIn 2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE. Kuffer, M., Ali, I. M. M., Gummah, A., Da Silva Mano, A., Sakhi, W., Kushieb, I., Girgin, S., Eltiny, N., Kumi, J., Abdallah, M., Bad, M., Ahmed, F., Hamza, M., Wang, J., Elzaki, T., Gevaert, C. & Flasse, C. slums and informal settlements in Europe: Opportunities for geospatial and earth observation techniques. Publications Office of the European Union. Kuffer, M., P, P. & A, S. modelling of past and present Shahjahanabad through multi-temporal remotely sensed dataRemote sensing, 15(11), Article 2924. Rajan, V., Koeva, M. N., Kuffer, M., Da Silva Mano, A. & Mishra, S. + Morphometrics: Understanding cities through urban morphology at large scaleLandscape and urban planning, 233, Article 104691. Wang, J., Fleischmann, M., Venerandi, A., Romice, O., Kuffer, M. & Porta, S. walkable cities: Generative design approach towards digital twin implementationRemote sensing, 15(4), Article 1088. Kumalasari, D., Koeva, M., Vahdatikhaki, F., Petrova Antonova, D. & Kuffer, M. economic complexity to the intra-urban scale: The role of services in the urban economy of Belo Horizonte, BrazilApplied geography, 150, Article 102837. Magalhães, L., Kuffer, M., Schwarz, N. & Haddad, M. 3D Property Valuationā€”A Review of Urban 3D Modelling Methods for Digital Twin CreationISPRS international journal of geo-information, 12(1), Article 2. Ying, Y., Koeva, M., Kuffer, M. & Zevenbergen, J. and urban poverty: Detecting and characterising slums and deprived urban areas in low- and middle-income countriesIn Advanced Remote Sensing for Urban and Landscape Ecology. Springer Nature. Kuffer, M., Abascal, A., Vanhuysse, S., Georganos, S., Wang, J., Thomson, D. R., Boanada, A. & Roca, P. Learning: A Novel Approach for Mapping Urban Land Use/Cover of the Indian MetropolitansSustainability (Switzerland), 15(24). Barman, P., Mustak, S., Kuffer, M. & Singh, S. K. the Ability to Use Contextual Features to Map Deprived Areas 'Slums' in Multiple CitiesIn IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 3620-3623). IEEE. Engstrom, R., Owusu, M., Nair, A., Jafari, A., Thomson, D. & Kuffer, M.
Integrating remote sensing and street view imagery for mapping slumsISPRS international journal of geo-information, 11(12), Article 631, 1-19. Najmi, A., Gevaert, C. M., Kohli, D., Kuffer, M. & Pratomo, J. census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environmentsInternational Journal of Applied Earth Observation and Geoinformation, 114, Article 103013. Georganos, S., Hafner, S., Kuffer, M., Linard, C. & Ban, Y. deprivation area mapping system for displacement durable solutions and socio-economic reconstruction, Sudan (IdeaMapSudan).In Proceedings of the 10th International Conference on Appropriate Technology: Enhancing Peace and Governance through Appropriate Technology: Reimagining Sustainable Community Wellbeing in an Era of Global Climate Change (pp. 461-474). International Network on Appropriate Technology. Eltinay, N., Kuffer, M., Gevaert, C. M., Ali, I. M. M., Flasse, C., Badi, M., Gummah, A., Kumi, J., Kushieb, I., Sakhi, W., Elzaki, T., Abdallah, M., Ali, M., Hamza, M. & Ahmed, F.


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Vakken collegejaar 2022/2023


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