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Personal profile

Personal profile

Monika Kuffer 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). She is working as Assistant Professor at the Faculty of Geo-Information Science and Earth Observation (ITC, University of Twente). Her main research foci are urban remotes sensing, monitoring deprived areas (e.g., slums) and analyzing urban form and dynamics with remote sensing, spatial statistics and spatial metrics. Her research is driven by providing spatial information to support planning and decision-making processes in complex cities, towards inclusive, livable and sustainable cities.

Keywords

  • G Geography (General)
  • urban planning
  • urban remote sensing
  • slums
  • informal areas
  • deprivation
  • poverty
  • machine learning
  • urban modelling
  • spatial statistics

Fingerprint Dive into the research topics where Monika Kuffer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 25 Similar Profiles
slum Social Sciences
imagery Earth & Environmental Sciences
remote sensing Earth & Environmental Sciences
image analysis Earth & Environmental Sciences
pixel Earth & Environmental Sciences
image resolution Earth & Environmental Sciences
urban population Earth & Environmental Sciences
city Earth & Environmental Sciences

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Research Output 2004 2019

1 Citation (Scopus)
18 Downloads (Pure)

Because space matters: conceptual framework to help distinguish slum from non-slum urban areas

Lilford, R., Kyobutungi, C., Ndugwa, R., Sartori, J., Watson, S. I., Sliuzas, R., Kuffer, M., Hofer, T., Porto de Albuquerque, J. & Ezeh, A., 11 Apr 2019, In : Annals of Global Health. 4, 2, p. 1-7 7 p., e001267.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Poverty Areas
Health Surveys
Research

Challenges of Mapping the Missing Spaces

Gevaert, C. M., Kohli, D. & Kuffer, M., 2019, IEEE - Joint Urban Remote Sensing Event, 2019. Vannes: IEEE, 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

image processing
remote sensing
informal settlement
spatial data
nongovernmental organization

Do we underestimate the global slum population?

Kuffer, M., Persello, C., Pfeffer, K., Sliuzas, R. & Rao, V., 1 May 2019, 2019 Joint Urban Remote Sensing Event, JURSE 2019. IEEE, p. 1-4 4 p. 8809066. (2019 Joint Urban Remote Sensing Event, JURSE 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

slum
Remote sensing
estimates
Unmanned aerial vehicles (UAV)
remote sensing
8 Downloads (Pure)

Identifying a Slums’ Degree of Deprivation from VHR Images Using Convolutional Neural Networks

Ajami, A., Kuffer, M., Persello, C. & Pfeffer, K., 29 May 2019, In : Remote sensing. 11, 11, p. 1-24 24 p., 1282.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
image resolution
learning
multiple use
correspondence analysis
integrated approach

Object-based image analysis to map local climate zones: The case of Bandung, Indonesia

Simanjuntak, R. M., Kuffer, M. & Reckien, D., May 2019, In : Applied geography. 106, p. 108 - 121 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

image analysis
Indonesia
imagery
climate
Landsat