prof.dr. M. Kuffer (Monika)

Universitair hoofddocent
ITC-PGM
BMS-TPS-CSTM
Langezijds 1301
m.kuffer@utwente.nl
+31534874301
Visitekaartje

Publicaties

2024
AI perceives like a local: predicting citizen deprivation perception using satellite imagery, 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.https://doi.org/10.1038/s42949-024-00156-xDo informal settlements contribute to sprawl in Sub-Saharan African cities?, 105663 (E-pub ahead of print/First online). Kolowa, T. J., Daams, M. N. & Kuffer, M.https://doi.org/10.1016/j.scs.2024.105663Feature-guided deep learning model for mapping deprived areasIn 2024 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing, MIGARS 2024. IEEE. Filho, P. S., Tareke, B., Persello, C., Kuffer, M., Maretto, R., Abascal, A., Wang, J. & MacHado, R.https://doi.org/10.1109/MIGARS61408.2024.10544988Monitoring, trends and impacts of light pollution, 417-430. Linares Arroyo, H., Abascal, A., Degen, T., Aubé, M., Espey, B. R., Gyuk, G., Hölker, F., Jechow, A., Kuffer, M., Sánchez de Miguel, A., Simoneau, A., Walczak, K. & Kyba, C. C. M.https://doi.org/10.1038/s43017-024-00555-9Making 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.https://doi.org/10.1007/978-3-031-49183-2_14Detection 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.https://doi.org/10.1007/978-3-031-49183-2_9Putting 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.https://doi.org/10.1007/978-3-031-49183-2_7Urban 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.https://doi.org/10.1007/978-3-031-49183-2_5Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning, Article 102075, 102075. Owusu, M., Nair, A., Jafari, A., Thomson, D., Kuffer, M. & Engstrom, R.https://doi.org/10.1016/j.compenvurbsys.2024.102075A Global Estimate of the Size and Location of Informal Settlements, Article 18, 1-17. Boanada-Fuchs, A., Kuffer, M. & Samper, J.https://doi.org/10.3390/urbansci8010018The 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.https://doi.org/10.1007/978-3-031-49183-2_8IntroductionIn Urban Inequalities from Space: Earth Observation Applications in the Majority World (pp. 1-9). Springer International Publishing. Georganos, S. & Kuffer, M.https://doi.org/10.1007/978-3-031-49183-2_1Urban Inequalities from Space: Earth Observation Applications in the Majority World. Springer Nature. Kuffer, M. & Georganos, S.https://doi.org/10.1007/978-3-031-49183-2
2023
Capturing deprived areas using unsupervised machine learning and open data: a case study in SĆ£o Paulo, Brazil, Article 2214690. Trento Oliveira, L., Kuffer, M., Schwarz, N. & Pedrassoli, J. C.https://doi.org/10.1080/22797254.2023.2214690Mapping Deprived Urban Areas Using Open Geospatial Data and Machine Learning in Africa, Article 116. Owusu, M., Engstrom, R., Thomson, D., Kuffer, M. & Mann, M. L.https://doi.org/10.3390/urbansci7040116The relationship between multiple hazards and deprivation using open geospatial data and machine learning, 907-941. Kabiru, P., Kuffer, M., Sliuzas, R. & Vanhuysse, S.https://doi.org/10.1007/s11069-023-05897-zMapping 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., Linares Arroyo, H., Walczak, K., De Miguel, A. S., Degen, T. & Roman, M. O.https://doi.org/10.1109/JURSE57346.2023.10144207IDeaMapSudan: 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.https://doi.org/10.1109/JURSE57346.2023.10144211Monitoring 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.https://doi.org/10.2760/325575%20(online)Three-dimensional modelling of past and present Shahjahanabad through multi-temporal remotely sensed data, Article 2924. Rajan, V., Koeva, M. N., Kuffer, M., Da Silva Mano, A. & Mishra, S.https://doi.org/10.3390/rs15112924EO + Morphometrics: Understanding cities through urban morphology at large scale, Article 104691. Wang, J., Fleischmann, M., Venerandi, A., Romice, O., Kuffer, M. & Porta, S.https://doi.org/10.1016/j.landurbplan.2023.104691Planning walkable cities: Generative design approach towards digital twin implementation, Article 1088. Kumalasari, D., Koeva, M., Vahdatikhaki, F., Petrova Antonova, D. & Kuffer, M.https://doi.org/10.3390/rs15041088Bringing economic complexity to the intra-urban scale: The role of services in the urban economy of Belo Horizonte, Brazil, Article 102837. Magalhães, L., Kuffer, M., Schwarz, N. & Haddad, M.https://doi.org/10.1016/j.apgeog.2022.102837Toward 3D Property Valuationā€”A Review of Urban 3D Modelling Methods for Digital Twin Creation, Article 2. Ying, Y., Koeva, M., Kuffer, M. & Zevenbergen, J.https://doi.org/10.3390/ijgi12010002Data 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.https://doi.org/10.1007/978-981-99-3006-7_1

Onderzoeksprofielen

Vakken collegejaar 2023/2024

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.

Vakken collegejaar 2022/2023

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