| Development of a cellular automata model using open source technologies for monitoring urbanisation in the global south: The case of Maputo, Mozambique JJ Arsanjani, CS Fibæk, E Vaz Habitat International 71, 38-48, 2018 | 30 | 2018 |
| A multi-sensor approach for characterising human-made structures by estimating area, volume and population based on sentinel data and deep learning CS Fibæk, C Keßler, JJ Arsanjani International Journal of Applied Earth Observation and Geoinformation 105 …, 2021 | 12* | 2021 |
| A deep learning method for creating globally applicable population estimates from sentinel data CS Fibæk, C Keßler, JJ Arsanjani, ML Trillo Transactions in GIS 26 (8), 3147-3175, 2022 | 4 | 2022 |
| Machine learning for automatic detection of historic stone walls using LiDAR data EFL Trotter, ACM Fernandes, CS Fibæk, C Keßler International Journal of Remote Sensing 43 (6), 2185-2211, 2022 | 3 | 2022 |
| Geospatial Analysis of Safe Delivery App Events Based on Geographically Weighted Regression Tool M Mahboubi, A Grønbæk, A Fernandes, C Fibæk, P Dabove AGILE: GIScience Series 3, 47, 2022 | | 2022 |
| Earth Observation and Deep Learning for Sustainable Development: New Approaches To Facilitate Data-Informed Decision-Making CS Fibæk | | 2022 |
| Østerbro–Et naturligt sted at bo E Miljøplanlægning, CS Fibæk, N Firouzi, J Jensen, JK Mogensen, ... | | |
