dr. J. Wang (Jon)

Assistant Professor

About Me

My overarching research interests involve understanding the dynamics and interactions of geographic processes, with special focus on urban development and interventions to adapt to extreme events. In operationalizing my research, I primarily rely on earth observation-based techniques to measure variables, and geospatial analysis along with artificial intelligence to explore patterns in space and time.

In the department of PGM, my major focuses are: (1) mapping urban morphology, and (2) understanding environmental risk of deprived groups.


Engineering & Materials Science
Earth (Planet)
Land Surface Temperature
Earth & Environmental Sciences
Earth Observation
Land Surface
Surface Temperature
Urban Area
Social Sciences


Strategic themes / Focus areas
  • Urban remote sensing
  • Urban climate
  • Spatiotemporal analysis
  • Applied data science
  • Remote sensing
  • Image analysis
  • GIS
  • Machine learning


Wu, C. , Wang, J. , & Kraak, M. J. (2023). Urban spatial structure from a street network perspective: mapping street patterns with random forest classification. In S. Sangiambut (Ed.), The 18th International Conference on Computational Urban Planning and Urban Management Centre for Open Science. https://osf.io/j3n8x
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
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
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
Madhuanand, L., Philippart, C. J. M. , Wang, J., Nijland, W., de Jong, S. M., Bijleveld, A. I., & Addink, E. A. (2023). Enhancing the predictive performance of remote sensing for ecological variables of tidal flats using encoded features from a deep learning model. GIScience and Remote Sensing, 60(1), Article 2163048. https://doi.org/10.1080/15481603.2022.2163048
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/
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

UT Research Information System


Ph.D.,Research Center of Digital City, Wuhan University, China; Collaborative Innovation Center of Geospatial Technology, Wuhan, China.

Master of Urban Planning,The University of Utah, Salt Lake City, UT, U.S.System dynamic modeling of urban sustainable development.

B.S. in Resource, Environment and Planning, Chengdu University of Technology, Chengdu, China

Affiliated Study Programmes


Courses Academic Year  2023/2024

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.

Contact Details

Visiting Address

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

Mailing Address

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