Overview
Availability
- Dr Ruizhu Jiang is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Forest Science, University of Melbourne
Works
Search Professor Ruizhu Jiang’s works on UQ eSpace
2026
Journal Article
Machine learning approaches for wheat yield prediction integrating biophysical modeling and remote sensing: effects of sample size, dimensionality, and transferability
Ashourloo, 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
2026
Journal Article
High resolution LiDAR and environmental variables enable fine scale predictions of hollow-bearing tree abundance across a complex temperate forest landscape
Jiang, 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
2025
Journal Article
Characterising wheat and barley growth and phenology using multispectral remote sensing for site-specific precision agriculture
Zhao, 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
2025
Conference Publication
Quantifying cotton growth rate from multispectral UAV imagery at plot scale
Devoto, 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
2025
Conference Publication
A novel geometric method for reconstruction of NDVI during cloudy period using Sentinel-1 & Sentinel-2
Ashourloo, 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
2024
Journal Article
Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia
Xie, 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
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 learning
Potgieter, 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
Supervision
Availability
- Dr Ruizhu Jiang is:
- Available for supervision
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