Duporge, I., Kholiavchenko, M., Harel, R. et al. BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos. International Journal of Computer Vision (2025). https://link.springer.com/article/10.1007/s11263-025-02493-5
Duporge, I., Pereira, T., de Obeso, S.C. et al. The utility of animal models to inform the next generation of human space exploration. Nature Microgravity 11, 7 (2025) https://www.nature.com/articles/s41526-025-00460-5
Duporge, I., Lee, R., Eweida, A., Mackelworth, P., Ten, S., Alghamdi, A., Alkhamis, R., Cochran, J., Lee, S., & Klinck, H. (2024). Passive Acoustic Monitoring and Visual Sighting Survey of Cetacean Occurrence Patterns in the Kingdom of Saudi Arabia. Marine Mammal Science, 40(3), e13113. https://doi.org/10.1111/mms.13113
Xiao Zhu, Tiejun Wang, Andrew K. Skidmore, Stephen J. Lee, Isla Duporge (2024). Mitigating terrain shadows in very high-resolution satellite imagery for accurate evergreen conifer detection using bi-temporal image fusion. International Journal of Applied Earth Observation and Geoinformation, 134: 104244.
https://doi.org/10.1016/j.jag.2024.104244
Abel Chemura, Shaoqing Lu, Andrew K Skidmore, Isla Duporge, Stephen J Lee, Zhaoyang Yu, Shadrack Ngene, Tiejun Wang (2024). Mapping off-road tracks and animal paths in protected areas using high-resolution GeoEye-1 panchromatic satellite imagery. International Journal of Remote Sensing, 45: 16.
https://doi.org/10.1080/01431161.2024.2377230
Kholiavchenko, M., Kline, J., Ramirez, M., Duporge, I., Berger-Wolf, T., Rubenstein, D., & Stewart, C. (2024). KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos.Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
Proceedings of the IEEE/CVF
Wu, Z., Zhang, C., Gu, X., Duporge, I., Hughey, L. Stabach, J. A., Skidmore, A. K., et al. (2023).“Deep Learning Enables Satellite-Based Monitoring of Large Populations of Terrestrial Mammals across Heterogeneous Landscape.” Nature Communications 14 (1): 3072.
https://www.nature.com/articles/s41467-023-38901-y
Duporge, I., Isupova, O., & Reece, S. (2021). Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes. Remote Sensing in Ecology & Conservation, 7: 369-381
https://doi.org/10.1002/rse2.195
Duporge, I., Spiegel, M. P., Thomson, E. R., Chapman, T., Lamberth, C., Pond, C., Macdonald, D., Wang, T., & Klinck, H. (2021). Determination of optimal flight altitude to minimise acoustic drone disturbance to wildlife using species audiograms.Methods in Ecology and Evolution, 12, 2196–2207.
https://doi.org/10.1111/2041-210X.13691
Cusack, J. J., Bradfer-Lawrence, T., Castelló Y Tickell, S., Duporge, I., Hegre, H., & Moreno Zárate, L., et al. (2021). “Measuring the Intensity of Conflicts in Conservation.” Conservation Letters 14 (3): e12783.
https://doi.org/10.1111/conl.12783
Duporge, I., Hodgetts, T., Wang, T., Macdonald, D., (2020). “What Spatially Explicit Quantitative Evidence Exists That Shows the Effect of Land Tenure on Illegal Hunting of Endangered Terrestrial Mammals in Sub-Saharan Africa: a systematic map. Environmental Evidence 9, 15.
https://doi.org/10.1186/s13750-020-00195-8
Duporge, I., Hodgetts, T. & Brett, M. (2018) What spatially explicit quantitative evidence exists that shows the effect of land tenure on illegal hunting of endangered terrestrial mammals in sub-Saharan Africa? A systematic map protocol. Environmental Evidence 7, 27.
https://doi.org/10.1186/s13750-018-0139-x