| Using deep learning to count albatrosses from space: assessing results in light of ground truth uncertainty E Bowler, PT Fretwell, G French, M Mackiewicz Remote Sensing 12 (12), 2026, 2020 | 31 | 2020 |
| Whales from space dataset, an annotated satellite image dataset of whales for training machine learning models HC Cubaynes, PT Fretwell Scientific Data 9 (1), 245, 2022 | 12 | 2022 |
| Using deep learning to count albatrosses from space E Bowler, PT Fretwell, G French, M Mackiewicz IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 6 | 2019 |
| Optimising sampling designs for habitat fragmentation studies E Bowler, V Lefebvre, M Pfeifer, RM Ewers Methods in Ecology and Evolution 13 (1), 217-229, 2022 | 5 | 2022 |
| Pushing the Limits of Subseasonal-to-Seasonal Sea Ice Forecasting with Deep Generative Modelling A McDonald, J Smith, P Yatsyshin, T Andersson, E Bowler, L van Zeeland, ... EGU24, 2024 | | 2024 |
| Review of Satellite Remote Sensing and Unoccupied Aircraft Systems for Counting Wildlife on Land MRG Attard, RA Phillips, E Bowler, PJ Clarke, H Cubaynes, DW Johnston, ... Remote Sensing 16 (4), 627, 2024 | | 2024 |
| Annotated dataset of wandering albatrosses detected in Very High Resolution (VHR) satellite imagery of South Georgia, Crozet Islands and Kerguelen Islands, from 2015-2017 … V Panigada, E Bowler, PT Fretwell NERC EDS UK Polar Data Centre. https://doi.org/10.5285/276367fa-03dd-4c80 …, 2024 | | 2024 |
| Automated UAV and Satellite Image Analysis For Wildlife Monitoring. E Bowler University of East Anglia, 2023 | | 2023 |
