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2026 Journal Article Machine learning approaches for wheat yield prediction integrating biophysical modeling and remote sensing: effects of sample size, dimensionality, and transferabilityAshourloo, Davoud, Brader, Jason, Zhao, Yan, Jiang, Ruizhu, Zhang, Miao, Chapman, Scott, Hammer, Graeme and Potgieter, Andries B (2026). Machine learning approaches for wheat yield prediction integrating biophysical modeling and remote sensing: effects of sample size, dimensionality, and transferability. Smart Agricultural Technology, 13 101936, 1-13. doi: 10.1016/j.atech.2026.101936 |
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2026 Journal Article High resolution LiDAR and environmental variables enable fine scale predictions of hollow-bearing tree abundance across a complex temperate forest landscapeJiang, Ruizhu, Nitschke, Craig R., Trouvé, Raphael, Cripps, Jemma K., Durkin, Louise K., Lumsden, Lindy F., Nelson, Jenny L., Scroggie, Michael P., Robinson, Andrew P. and Baker, Patrick J. (2026). High resolution LiDAR and environmental variables enable fine scale predictions of hollow-bearing tree abundance across a complex temperate forest landscape. Forest Ecology and Management, 603 123440, 1-12. doi: 10.1016/j.foreco.2025.123440 |
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2025 Journal Article Characterising wheat and barley growth and phenology using multispectral remote sensing for site-specific precision agricultureZhao, Yan, Jiang, Ruizhu, Brider, Jason, Chapman, Scott and Potgieter, Andries (2025). Characterising wheat and barley growth and phenology using multispectral remote sensing for site-specific precision agriculture. In Silico Plants, 7 (2) diaf013. doi: 10.1093/insilicoplants/diaf013 |
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2025 Conference Publication Quantifying cotton growth rate from multispectral UAV imagery at plot scaleDevoto, Francesca, Ashourloo, Davoud, Zhao, Yan, Jiang, Ruizhu, Awale, Rakesh, Bell, Michael, McLaren, Tim, Reynolds-Massey-Reed, Sean, Otto, Loren, Bange, Michael, Woodgate, William, Chapman, Scott and Potgieter, Andries (2025). Quantifying cotton growth rate from multispectral UAV imagery at plot scale. IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, QLD, Australia, 3-8 August 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss55030.2025.11243794 |
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2025 Conference Publication A novel geometric method for reconstruction of NDVI during cloudy period using Sentinel-1 & Sentinel-2Ashourloo, Davoud, Devoto, Francesca, Jiang, Ruizhu, Zhao, Yan and Potgieter, Andries (2025). A novel geometric method for reconstruction of NDVI during cloudy period using Sentinel-1 & Sentinel-2. IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, QLD, Australia, 3-8 August 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss55030.2025.11242256 |
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2024 Journal Article Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of AustraliaXie, Zunyi, Zhao, Yan, Jiang, Ruizhu, Zhang, Miao, Hammer, Graeme, Chapman, Scott, Brider, Jason and Potgieter, Andries B. (2024). Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia. Remote Sensing of Environment, 305 114070, 1-14. doi: 10.1016/j.rse.2024.114070 |
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2023 Conference Publication Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learningPotgieter, A. B., Camino, C., Poblete, T., Zhi, X., Reynolds-Massey-Reed, S., Zhao, Y., Belwalkar, A., Ruizhu, J., George-Jaeggli, B., Chapman, S., Jordan, D., Wu, A., Hammer, G. L. and J, Zarco-Tejada P. (2023). Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning. 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA USA, 16-21 July 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss52108.2023.10282230 |
