Mr Sebastian Hafner
- Affiliate Research Associate in Urban Analytics (School of Social & Political Sciences)
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Engstrom, R. et al. (2025) Evaluating the Ability to Map the Degree of Informality within a City using a Scalable, Machine Learning Methodology in Nairobi, Kenya. In: 2025 Joint Urban Remote Sensing Event (JURSE), Tunis, Tunisia, 4-7 May 2025, ISBN 9798350371833 (doi: 10.1109/JURSE60372.2025.11076080)
Hafner, S. et al. (2025) Mapping Indicators for Morphological Informality in Nairobi, Kenya Using Satellite Imagery. In: 2025 Joint Urban Remote Sensing Event (JURSE), Tunis, Tunisia, 4-7 May 2025, ISBN 9798350371833 (doi: 10.1109/JURSE60372.2025.11076042)
Hafner, S. et al. (2025) Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint and Road Data (Version 1). In: 44th EARSeL Symposium, Prague, Czech Republic, 26-29 May 2025, pp. 221-228. (doi: 10.5194/isprs-archives-XLVIII-M-7-2025-221-2025)
Engstrom, R. et al. (2025) Evaluating the Ability to Map the Degree of Informality within a City using a Scalable, Machine Learning Methodology in Nairobi, Kenya. In: 2025 Joint Urban Remote Sensing Event (JURSE), Tunis, Tunisia, 4-7 May 2025, ISBN 9798350371833 (doi: 10.1109/JURSE60372.2025.11076080)
Hafner, S. et al. (2025) Mapping Indicators for Morphological Informality in Nairobi, Kenya Using Satellite Imagery. In: 2025 Joint Urban Remote Sensing Event (JURSE), Tunis, Tunisia, 4-7 May 2025, ISBN 9798350371833 (doi: 10.1109/JURSE60372.2025.11076042)
Hafner, S. et al. (2025) Towards an Indicator-Based Morphological Informality Model for Sub-Saharan Africa Using Open Building Footprint and Road Data (Version 1). In: 44th EARSeL Symposium, Prague, Czech Republic, 26-29 May 2025, pp. 221-228. (doi: 10.5194/isprs-archives-XLVIII-M-7-2025-221-2025)