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2026 Conference Publication Mapping vegetation functional states across climate extremes: spectral deep learning from drylands to Antarctic cryptogam ecosystemsSotomayor, Laura N., Lucieer, Arko, Turner, Darren, Haynes, Ryan, Cimoli, Emiliano, Youssef, Mathew, Galvez-Serna, Julian, Fedrigo, Melissa, Kattenborn, Teja and Barthélemy, Johan (2026). Mapping vegetation functional states across climate extremes: spectral deep learning from drylands to Antarctic cryptogam ecosystems. 12th SCAR Open Science Conference, Oslo, Norway, 10 - 14 August 2026. doi: 10.5281/zenodo.23518885 |
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2026 Journal Article A CNN with spectral-channel adaptation for interpretable and edge-ready fractional vegetation cover mapping using UAS multispectral and imaging spectroscopySotomayor, Laura N., Lucieer, Arko, Turner, Darren, Haynes, Ryan, Barthelemy, Johan and Kattenborn, Teja (2026). A CNN with spectral-channel adaptation for interpretable and edge-ready fractional vegetation cover mapping using UAS multispectral and imaging spectroscopy. doi: 10.31223/X5PV20 |
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2026 Journal Article From 2D labels to 3D structure: Scalable label transfer and benchmarking of 3D vegetation models in rangeland ecosystemsSotomayor, Laura N., Lucieer, Arko, Turner, Darren, Barthelemy, Johan and Kattenborn, Teja (2026). From 2D labels to 3D structure: Scalable label transfer and benchmarking of 3D vegetation models in rangeland ecosystems. doi: 10.31223/X5948M |
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2025 Journal Article deadtrees.earth - An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamicsMosig, Clemens, Vajna-Jehle, Janusch, Mahecha, Miguel D., Cheng, Yan, Hartmann, Henrik, Montero, David, Junttila, Samuli, Horion, Stephanie, Schwenke, Mirela Beloiu, Koontz, Michael J., Maulud, Khairul Nizam Abdul, Adu-Bredu, Stephen, Al-Halbouni, Djamil, Ali, Muhammad, Allen, Matthew, Altman, Jan, Amoros, Lot, Angiolini, Claudia, Astrup, Rasmus, Awada, Hassan, Barrasso, Caterina, Bartholomeus, Harm, Beck, Pieter S. A., Bozzini, Aurora, Braun-Wimmer, Joshua, Brede, Benjamin, Breunig, Fabio Marcelo, Brugnaro, Stefano, Buras, Allan ... Revuelto, Jesus (2025). deadtrees.earth - An open-access and interactive database for centimeter-scale aerial imagery to uncover global tree mortality dynamics. Remote Sensing of Environment, 332. doi: 10.1016/j.rse.2025.115027 |
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2025 Journal Article Mapping fractional vegetation cover in UAS RGB and multispectral imagery in semi-arid Australian ecosystems using CNN-based semantic segmentationSotomayor, Laura N., Lucieer, Arko, Turner, Darren, Lewis, Megan and Kattenborn, Teja (2025). Mapping fractional vegetation cover in UAS RGB and multispectral imagery in semi-arid Australian ecosystems using CNN-based semantic segmentation. Landscape Ecology, 40 (8) 169, 1-34. doi: 10.1007/s10980-025-02193-y |
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2025 Conference Publication Sensor-agnostic 3D structure mapping pipeline: from UAS-derived 2D orthophotos and LiDAR point clouds to volumetric training data for 3D U-Net modellingSotomayor, Laura N., Lucieer, Arko, Turner, Darren, Lewis, Megan, Shaun, Levick and Kattenborn, Teja (2025). Sensor-agnostic 3D structure mapping pipeline: from UAS-derived 2D orthophotos and LiDAR point clouds to volumetric training data for 3D U-Net modelling. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2025), Brisbane, Australia, 3-8 August 2025. doi: 10.5281/zenodo.23946673 |
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2025 Conference Publication Deep learning for identification of 3D plant growth forms in Fractional Vegetation CoverSotomayor, Laura N., Turner, Darren, Megan, Lewis, Levick, Shaun and Kattenborn, Teja (2025). Deep learning for identification of 3D plant growth forms in Fractional Vegetation Cover. European Geosciences Union General Assembly 2025 (EGU25), Vienna, Austria, 27 April-2 May 2025. doi: 10.5194/egusphere-egu25-3984 |
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2024 Conference Publication Investigating Deep Learning Techniques to Estimate Fractional Vegetation Cover in the Australian Semi-arid Ecosystems combining Drone-based RGB imagery, multispectral Imagery and LiDAR dataSotomayor, Laura N., Kattenborn, Teja, Darren, Turner, Lewis, Megan and Lucieer, Arko (2024). Investigating Deep Learning Techniques to Estimate Fractional Vegetation Cover in the Australian Semi-arid Ecosystems combining Drone-based RGB imagery, multispectral Imagery and LiDAR data. European Geosciences Union General Assembly 2024 (EGU24), Vienna, Austria, 14-19 April 2024. doi: 10.5194/egusphere-egu24-5766 |
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2023 Journal Article Supervised machine learning for predicting and interpreting dynamic drivers of plantation forest productivity in northern Tasmania, AustraliaSotomayor, Laura N., Cracknell, Matthew J. and Musk, Robert (2023). Supervised machine learning for predicting and interpreting dynamic drivers of plantation forest productivity in northern Tasmania, Australia. Computers and Electronics in Agriculture, 209 107804. doi: 10.1016/j.compag.2023.107804 |
