Expertises
Earth & Environmental Sciences
# City
# Earth Observation
# Imagery
# Informal Settlement
# Remote Sensing
# Urban Area
Social Sciences
# Deprivation
# Slum
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Urban and Regional Planning and Geo-Information Management (PGM)Publicaties
Recent
Abascal, A., Vanhuysse, S., Grippa, T., Rodriguez-Carreño, I., Georganos, S.
, Wang, J.
, Kuffer, M., Martinez-Diez, P., Santamaria-Varas, M., & Wolff, E. (2024).
AI perceives like a local: predicting citizen deprivation perception using satellite imagery.
npj Urban Sustainability,
4(1), 1-14. Article 20.
https://doi.org/10.1038/s42949-024-00156-x
Boanada-Fuchs, A.
, Kuffer, M., & Samper, J. (2024).
A Global Estimate of the Size and Location of Informal Settlements.
Urban Science,
8(1), 1-17. Article 18.
https://doi.org/10.3390/urbansci8010018
Owusu, M., Nair, A., Jafari, A.
, Thomson, D.
, Kuffer, M., & Engstrom, R. (2024).
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning.
Computers, environment and urban systems,
109, 102075. Article 102075.
https://doi.org/10.1016/j.compenvurbsys.2024.102075
Engstrom, R.
, Owusu, M., Nair, A., Jafari, A.
, Thomson, D.
, & Kuffer, M. (2023).
Evaluating the Ability to Use Contextual Features to Map Deprived Areas 'Slums' in Multiple Cities. In
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings (pp. 3620-3623). (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2023-July). IEEE.
https://doi.org/10.1109/IGARSS52108.2023.10282954
Barman, P., Mustak, S.
, Kuffer, M., & Singh, S. K. (2023).
Transfer-Ensemble Learning: A Novel Approach for Mapping Urban Land Use/Cover of the Indian Metropolitans.
Sustainability (Switzerland),
15(24).
https://doi.org/10.3390/su152416593
Owusu, M., Engstrom, R.
, Thomson, D.
, Kuffer, M., & Mann, M. L. (2023).
Mapping Deprived Urban Areas Using Open Geospatial Data and Machine Learning in Africa.
Urban Science,
7(4), Article 116.
https://doi.org/10.3390/urbansci7040116
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. (2023).
IDeaMapSudan: Geo-spatial modelling of urban poverty. In
2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE.
https://doi.org/10.1109/JURSE57346.2023.10144211
Abascal, A., Kyba, C., Hölker, F.
, Kuffer, M., Arroyo, H. L., Walczak, K., De Miguel, A. S., Degen, T., & Roman, M. O. (2023).
Mapping the Invisibles: Global urban inequalities through night lights. In
2023 Joint Urban Remote Sensing Event (JURSE) (pp. 1-4). IEEE.
https://doi.org/10.1109/JURSE57346.2023.10144207
Kuffer, M.
, Abascal, A., Vanhuysse, S., Georganos, S.
, Wang, J.
, Thomson, D. R., Boanada, A., & Roca, P. (2023).
Data and urban poverty: Detecting and characterising slums and deprived urban areas in low- and middle-income countries. In S. Mustak, D. Singh, & P. K. Srivastava (Eds.),
Advanced Remote Sensing for Urban and Landscape Ecology (Advances in Geographical and Environmental Sciences). Springer Nature.
https://doi.org/10.1007/978-981-99-3006-7_1
Kuffer, M., P, P., & A, S. (2023).
Monitoring slums and informal settlements in Europe: Opportunities for geospatial and earth observation techniques. Publications Office of the European Union.
https://doi.org/10.2760/325575 (online),
https://doi.org/10.2760/325575
Rajan, V.
, Koeva, M. N.
, Kuffer, M.
, Da Silva Mano, A., & Mishra, S. (2023).
Three-dimensional modelling of past and present Shahjahanabad through multi-temporal remotely sensed data.
Remote sensing,
15(11), Article 2924.
https://doi.org/10.3390/rs15112924
Trento Oliveira, L.
, Kuffer, M.
, Schwarz, N., & Pedrassoli, J. C. (2023).
Capturing deprived areas using unsupervised machine learning and open data: a case study in São Paulo, Brazil.
European Journal of Remote Sensing ,
56(1), Article 2214690.
https://doi.org/10.1080/22797254.2023.2214690
Kabiru, P.
, Kuffer, M.
, Sliuzas, R., & Vanhuysse, S. (2023).
The relationship between multiple hazards and deprivation using open geospatial data and machine learning.
Natural hazards,
119(2), 907-941.
https://doi.org/10.1007/s11069-023-05897-z
Wang, J., Fleischmann, M., Venerandi, A., Romice, O.
, Kuffer, M., & Porta, S. (2023).
EO + Morphometrics: Understanding cities through urban morphology at large scale.
Landscape and urban planning,
233, Article 104691.
https://doi.org/10.1016/j.landurbplan.2023.104691
Kumalasari, D.
, Koeva, M.
, Vahdatikhaki, F., Petrova Antonova, D.
, & Kuffer, M. (2023).
Planning walkable cities: Generative design approach towards digital twin implementation.
Remote sensing,
15(4), Article 1088.
https://doi.org/10.3390/rs15041088
Ying, Y.
, Koeva, M.
, Kuffer, M.
, & Zevenbergen, J. (2023).
Toward 3D Property Valuation—A Review of Urban 3D Modelling Methods for Digital Twin Creation.
ISPRS international journal of geo-information,
12(1), Article 2.
https://doi.org/10.3390/ijgi12010002
Magalhães, L.
, Kuffer, M.
, Schwarz, N., & Haddad, M. (2023).
Bringing economic complexity to the intra-urban scale: The role of services in the urban economy of Belo Horizonte, Brazil.
Applied geography,
150, Article 102837.
https://doi.org/10.1016/j.apgeog.2022.102837
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. (2022).
Integrated 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.
https://www.appropriatetech.net/index.php/10th-icat-2022
Najmi, A.
, Gevaert, C. M.
, Kohli, D.
, Kuffer, M.
, & Pratomo, J. (2022).
Integrating remote sensing and street view imagery for mapping slums.
ISPRS international journal of geo-information,
11(12), 1-19. Article 631.
https://doi.org/10.3390/ijgi11120631
Kumalasari, D.
, Koeva, M. N.
, Vahdatikhaki, F., Petrova-Antonova, D.
, & Kuffer, M. (2022).
Generative design for walkable cities: A case study of Sofia. In C. C. Wang, & S. Shirowzhan (Eds.),
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: 7th International Conference on Smart Data and Smart Cities (4/W5-2022 ed., Vol. 48, pp. 75-82). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus.
https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-75-2022
Georganos, S., Hafner, S.
, Kuffer, M., Linard, C., & Ban, Y. (2022).
A census from heaven: Unraveling the potential of deep learning and Earth Observation for intra-urban population mapping in data scarce environments.
International Journal of Applied Earth Observation and Geoinformation,
114, Article 103013.
https://doi.org/10.1016/j.jag.2022.103013
Wang, J., Fleischmann, M., Venerandi, A.
, Kuffer, M., & Porta, S. (2022).
Earth observation + morphometrics: towards a systematic understanding of cities in challenging contexts. In
Annual Conference Proceedings of the XXVIII International Seminar on Urban Form (pp. 363-370). University of Strathclyde.
https://strathprints.strath.ac.uk/80476/
Oluoch, I.
, Kuffer, M.
, & Nagenborg, M. (2022).
In-between the lines and pixels: Cartography’s transition from tool of the state to humanitarian mapping of deprived urban areas.
Digital Society,
1(1), Article 5.
https://doi.org/10.1007/s44206-022-00008-0
Wang, J., Georganos, S.
, Kuffer, M.
, Abascal, A., & Vanhuysse, S. (2022).
On the knowledge gain of urban morphology from space.
Computers, environment and urban systems,
95, Article 101831.
https://doi.org/10.1016/j.compenvurbsys.2022.101831
Luo, E.
, Kuffer, M.
, & Wang, J. (2022).
Urban poverty maps: From characterising deprivation using geo-spatial data to capturing deprivation from space.
Sustainable Cities and Society,
84, Article 104033.
https://doi.org/10.1016/j.scs.2022.104033
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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
Contactgegevens
Bezoekadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
(gebouwnr. 19), kamer 1301
Hallenweg 8
7522NH Enschede
Universiteit Twente
Faculty of Behavioural, Management and Social Sciences
Langezijds
(gebouwnr. 19), kamer 1301
Hallenweg 8
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds
1301
Postbus 217
7500 AE Enschede