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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.

  • 63 Similar Profiles
imagery Earth & Environmental Sciences
image analysis Earth & Environmental Sciences
pixel Earth & Environmental Sciences
remote sensing Earth & Environmental Sciences
image resolution Earth & Environmental Sciences
city Earth & Environmental Sciences
urban population Earth & Environmental Sciences
risk perception Earth & Environmental Sciences

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Research Output 2004 2019

1 Citation (Scopus)
11 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
5 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
4 Downloads (Pure)

Post-Disaster Recovery Assessment with Machine Learning-Derived Land Cover and Land Use Information

Sheykhmousa, M., Kerle, N., Kuffer, M. & Ghaffarian, S., 17 May 2019, In : Remote sensing. 11, 10, p. 1-20 20 p., 1174.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
disaster
land cover
land use
land use change
machine learning