dr. M. Kuffer (Monika)

Monika Kuffer is working as Associated Professor at the Faculty of Geo-Information Science and Earth Observation (ITC, University of Twente). Her main research interests are urban remote sensing, SDG monitoring, mapping deprived areas (e.g., slums), and analyzing urban form and dynamics with remote sensing and spatial statistics/metrics. She is co-chairing an international network on deprivation area mapping IDEAMAPS (https://ideamapsnetwork.org), and is presently working on two research projects related to deprivation area mapping SLUMAP (http://slumap.ulb.be) and ACCOUNT (https://slummap.net). She received her PhD from the University of Twente (NL) and one MSc in Human Geographer (TU Munich) and a second MSc in Geographic Information Science (University of London).

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)

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), [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), [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. 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, [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), [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), [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, [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. [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, [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), [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, [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, [104033]. https://doi.org/10.1016/j.scs.2022.104033

Kuffer, M. , Owusu, M., Oliveira, L. , Sliuzas, R., & Rijn, F. V. (2022). The missing millions in maps: Exploring causes of uncertainties in global gridded population datasets. ISPRS international journal of geo-information, 11(7), 1-18. [403]. https://doi.org/10.3390/ijgi11070403

Porta, S., Venerandi, A., Feliciotti, A., Raman, S., Romice, O. , Wang, J. , & Kuffer, M. (2022). Urban MorphoMetrics + Earth Observation: An integrated approach to rich/extra-large-scale taxonomies of urban form. Projections, 16. https://projections.pubpub.org/pub/vfwe0fdj

Abascal, A., Rodríguez-Carreño, I., Vanhuysse, S., Georganos, S. , Sliuzas, R., Wolff, E. , & Kuffer, M. (2022). Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas. Computers, environment and urban systems, 95, 1-20. [101820]. https://doi.org/10.1016/j.compenvurbsys.2022.101820

Ying, Y. , Koeva, M. , Kuffer, M., Asiama, K. O., Li, X. , & Zevenbergen, J. (2022). The perception of the vertical dimension (3D) through the lens of different stakeholders in the property market of China. Land, 11(2), 1-29. [312]. https://doi.org/10.3390/land11020312

Abascal, A., Rothwell, N., Shonowo, A. , Thomson, D. R., Elias, P., Elsey, H., Yeboah, G. , & Kuffer, M. (2022). “Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy: A scoping review. Computers, environment and urban systems, 93, [101770]. https://doi.org/10.1016/j.compenvurbsys.2022.101770

Kuffer, M., Grippa, T. , Persello, C., Taubenböck, H. , Pfeffer, K. , & Sliuzas, R. (2022). Mapping the morphology of urban deprivation. In X. Yang (Ed.), Urban Remote Sensing: Monitoring, Synthesis, and Modeling in the Urban Environment (pp. 305-323). Wiley. https://doi.org/10.1002/9781119625865.ch14

Georganos, S. , Abascal, A. , Kuffer, M. , Wang, J. , Owusu, M., Wolff, E., & Vanhuysse, S. (2021). Is it all the same? Mapping and characterizing deprived urban areas using WorldView-3 superspectral imagery: A case study in Nairobi, Kenya. Remote sensing, 13(24), [4986]. https://doi.org/10.3390/rs13244986

Merodio Gómez, P., Juarez Carrillo, O. J. , Kuffer, M. , Thomson, D. R., Olarte Quiroz, J. L., Villaseñor García, E., Vanhuysse, S. , Abascal, A., Oluoch, I. , Nagenborg, M. , Persello, C., & Brito, P. L. (2021). Earth observations and statistics: Unlocking sociodemographic knowledge through the power of satellite images. Sustainability (Switzerland), 13(22), 1-21. [12640]. https://doi.org/10.3390/su132212640

Vanhuysse, S., Georganos, S. , Kuffer, M., Grippa, T., Lennert, M., & Wolff, E. (2021). Gridded urban deprivation probability from open optical imagery and dual-pol SAR data. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 2110-2113). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9554231

Owusu, M. , Kuffer, M. , Belgiu, M., Grippa, T., Lennert, M., Georganos, S., & Vanhuysse, S. (2021). Geo-ethics in slum mapping. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 5700-5703). IEEE. https://doi.org/10.1109/IGARSS47720.2021.9553570

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Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Ongoing research projects on Earth Observation and mapping deprived urban areas:

The IDEAMAPS Network is developing and maintaining an Integrated DEprived Area MAPping System (IDEAMAPS) that leverages the strengths of our current silo-ed approaches to “slum” area mapping.
More info: https://ideamapsnetwork.org/

ACCOUNT (Accounting for the unaccounted) is developing a machine-learning based framework for estimating the population of invisible spaces in support of the SDG Slum Indicator.
More info: https://slummap.net/index.php/account/

The SLUMAP project (Remote Sensing for Slum Mapping and Characterization in sub-Saharan African Cities) is a two-year research project (2019-2021) funded by the STEREO-III programme of the Belgian Science Policy (BELSPO).
More info: http://slumap.ulb.be/

IDEAMAPSUDAN (Integrated Deprivation Area Mapping System for Displacement Durable Solutions and socioeconomic reconstruction in Khartoum, Sudan) is implementing a training project in Sudan on Capacity strengthening for gender-responsive and sustainable urban development.
More info: https://slummap.net/index.php/projects-overview/

+31534874301

+31534874532 (if no answer)

m.kuffer@utwente.nl

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1301
Hallenweg 8
7522NH Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds 1301
P.O. Box 217
7500 AE Enschede
The Netherlands

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Urban and Regional Planning and Geo-Information Management (PGM)

http://www.itc.nl/resumes/kuffer

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University of Twente Drienerlolaan 5
7522 NB Enschede

+31 (0)53 489 9111
info@utwente.nl
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