Overview
Background
Dr Yan Zhao is a dedicated researcher in the field of agricultural systems, utilizing remote sensing observations to unveil spatial and temporal patterns and advance earth observation techniques and modelling. He is an integral member of a multi-disciplinary predictive agriculture research group based at QAAFI.
Currently, Dr Zhao's focus lies in the intricate integration of spatial technologies, crop modelling, and climate forecasting systems at various scales. His primary objective is to leverage remote sensing and crop simulation techniques for a comprehensive understanding of Australia's dryland cropping system. In pursuit of this goal, he has successfully developed pipelines for handling volumetric spatial datasets and delivering crucial information on crop types, production, and phenology, spanning from local to national scales.
Engaging actively with agri-business companies, government departments, and local growers, Dr Zhao collaborates closely with stakeholders to validate and implement his research findings in practical applications.
Dr Zhao earned his Doctoral Degree in Natural Science, with a specialized focus on Cartography and Geographic Information Systems. He completed his doctoral research at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, in 2013.
Availability
- Dr Yan Zhao is:
- Not available for supervision
Fields of research
Qualifications
- Doctor of Philosophy of Natural Science, University of the Chinese Academy of Science
Works
Search Professor Yan Zhao’s works on UQ eSpace
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
2023
Journal Article
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering
Li, Yuanchao, Zeng, Hongwei, Zhang, Miao, Wu, Bingfang, Zhao, Yan, Yao, Xia, Cheng, Tao, Qin, Xingli and Wu, Fangming (2023). A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering. International Journal of Applied Earth Observation and Geoinformation, 118 103269, 1-21. doi: 10.1016/j.jag.2023.103269
2023
Journal Article
Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangeland
Myint Swe, Than, Williams, Wendy J., Schmidt, Susanne, Potgieter, Andries, Cowley, Robyn, Mellor, Vincent, Driscoll, Colin and Zhao, Yan (2023). Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangeland. The Rangeland Journal, 44 (6), 263-278. doi: 10.1071/rj22019
2022
Journal Article
Challenges and opportunities in remote sensing-based crop monitoring: a review
Wu, Bingfang, Zhang, Miao, Zeng, Hongwei, Tian, Fuyou, Potgieter, Andries B., Qin, Xingli, Yan, Nana, Chang, Sheng, Zhao, Yan, Dong, Qinghan, Boken, Vijendra, Plotnikov, Dmitry, Guo, Huadong, Wu, Fangming, Zhao, Hang, Deronde, Bart, Tits, Laurent and Loupian, Evgeny (2022). Challenges and opportunities in remote sensing-based crop monitoring: a review. National Science Review, 10 (4) nwac290, 1-34. doi: 10.1093/nsr/nwac290
2022
Journal Article
Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin
Lu, Zhixiang, Feng, Qi, Wei, Yongping, Zhao, Yan, Deo, Ravinesh C., Xie, Jiali, Zhou, Sha, Zhu, Meng and Xu, Min (2022). Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin. Science of the Total Environment, 851 (Pt 2) 158359, 158359. doi: 10.1016/j.scitotenv.2022.158359
2022
Journal Article
Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghum
Zhi, Xiaoyu, Massey-Reed, Sean Reynolds, Wu, Alex, Potgieter, Andries, Borrell, Andrew, Hunt, Colleen, Jordan, David, Zhao, Yan, Chapman, Scott, Hammer, Graeme and George-Jaeggli, Barbara (2022). Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghum. Plant Phenomics, 2022 9768502, 1-18. doi: 10.34133/2022/9768502
2022
Conference Publication
A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields
Das, Sumanta, Massey-Reed, Sean Reynolds, Mahuika, Jenny, Watson, James, Cordova, Celso, Otto, Loren, Zhao, Yan, Chapman, Scott, George-Jaeggli, Barbara, Jordan, David, Hammer, Graeme L. and Potgieter, Andries B. (2022). A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IGARSS46834.2022.9884530
2022
Conference Publication
Crop type prediction utilising a long short-term memory with a self-attention for winter crops in Australia
Nguyen, Dung, Zhao, Yan, Zhang, Yifan, Huynh, Anh Ngoc-Lan, Roosta, Fred, Hammer, Graeme, Chapman, Scott and Potgieter, Andries (2022). Crop type prediction utilising a long short-term memory with a self-attention for winter crops in Australia. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IGARSS46834.2022.9883737
2021
Journal Article
Detecting sorghum plant and head features from multispectral UAV imagery
Zhao, Yan, Zheng, Bangyou, Chapman, Scott C., Laws, Kenneth, George-Jaeggli, Barbara, Hammer, Graeme L., Jordan, David R. and Potgieter, Andries B. (2021). Detecting sorghum plant and head features from multispectral UAV imagery. Plant Phenomics, 2021 9874650, 9874650-14. doi: 10.34133/2021/9874650
2021
Journal Article
Evolution and application of digital technologies to predict crop type and crop phenology in agriculture
Potgieter, A. B., Zhao, Yan, Zarco-Tejada, Pablo J, Chenu, Karine, Zhang, Yifan, Porker, Kenton, Biddulph, Ben, Dang, Yash P., Neale, Tim, Roosta, Fred and Chapman, Scott (2021). Evolution and application of digital technologies to predict crop type and crop phenology in agriculture. In Silico Plants, 3 (1) diab017, 1-23. doi: 10.1093/insilicoplants/diab017
2020
Journal Article
Using a process-based model to understand dynamics of Chinese agricultural and water technology development from 8000 bc to 1911 ad
Wu, Shuanglei, Wei, Yongping, Head, Brian, Zhao, Yan and Hanna, Scott (2020). Using a process-based model to understand dynamics of Chinese agricultural and water technology development from 8000 bc to 1911 ad. Ambio, 50 (5), 1101-1116. doi: 10.1007/s13280-020-01424-7
2020
Journal Article
Evolution and effects of the social-ecological system over a millennium in China's Loess Plateau
Wu, Xutong, Wei, Yongping, Fu, Bojie, Wang, Shuai, Zhao, Yan and Moran, Emilio F. (2020). Evolution and effects of the social-ecological system over a millennium in China's Loess Plateau. Science Advances, 6 (41) eabc0276. doi: 10.1126/sciadv.abc0276
2020
Journal Article
An integrative influence of saline water irrigation and fertilization on the structure of soil bacterial communities
Chen, L. J., Li, C. S., Feng, Q., Wei, Y. P., Zhao, Y., Zhu, M. and Deo, R. C. (2020). An integrative influence of saline water irrigation and fertilization on the structure of soil bacterial communities. Journal of Agricultural Science, 157 (9-10), 693-700. doi: 10.1017/S002185962000012X
2020
Journal Article
Predicting wheat yield at the field scale by combining high-resolution sentinel-2 satellite imagery and crop modelling
Zhao, Yan, Potgieter, Andries B., Zhang, Miao, Wu, Bingfang and Hammer, Graeme L. (2020). Predicting wheat yield at the field scale by combining high-resolution sentinel-2 satellite imagery and crop modelling. Remote Sensing, 12 (6) 1024, 1024. doi: 10.3390/rs12061024
2019
Journal Article
Water stress affects the frequency of Firmicutes, Clostridiales and Lysobacter in rhizosphere soils of greenhouse grape
Zhang, Rui, Chen, Lijuan, Niu, Zuirong, Song, Shuzhen and Zhao, Yan (2019). Water stress affects the frequency of Firmicutes, Clostridiales and Lysobacter in rhizosphere soils of greenhouse grape. Agricultural Water Management, 226 105776, 105776. doi: 10.1016/j.agwat.2019.105776
2019
Journal Article
The development of ancient Chinese agricultural and water technology from 8000 BC to 1911 AD
Wu, Shuanglei, Wei, Yongping, Head, Brian, Zhao, Yan and Hanna, Scott (2019). The development of ancient Chinese agricultural and water technology from 8000 BC to 1911 AD. Palgrave Communications, 5 (1) 77. doi: 10.1057/s41599-019-0282-1
2019
Journal Article
Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: implications for water resources management in endorheic basins
Guo, Xiaoyan, Feng, Qi, Si, Jianhua, Xi, Haiyang, Zhao, Yan and Deo, Ravinesh C. (2019). Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: implications for water resources management in endorheic basins. Journal of Hydrology, 579 124212. doi: 10.1016/j.jhydrol.2019.124212
2019
Journal Article
Pathways from payments for ecosystem services program to socioeconomic outcomes
Wu, Xutong, Wang, Shuai, Fu, Bojie, Zhao, Yan and Wei, Yongping (2019). Pathways from payments for ecosystem services program to socioeconomic outcomes. Ecosystem Services, 39 101005, 101005. doi: 10.1016/j.ecoser.2019.101005
2019
Journal Article
A landscape management analysis framework and its preliminary application in Ejina Oasis, Northwest China
Ran, YouHua and Zhao, Yan (2019). A landscape management analysis framework and its preliminary application in Ejina Oasis, Northwest China. Sciences in Cold and Arid Regions, 11 (3), 239-247. doi: 10.3724/SP.J.1226.2019.00239
Supervision
Availability
- Dr Yan Zhao is:
- Not available for supervision
Supervision history
Current supervision
-
Doctor Philosophy
On-ground management of soil nutrients by integrating proximal and remote sensing platforms in northern Australian savannas grazing lands
Associate Advisor
Other advisors: Associate Professor Andries Potgieter, Professor Susanne Schmidt
-
Doctor Philosophy
Redirecting water technology to improve human-environmental relationships
Associate Advisor
Other advisors: Dr Shuanglei Wu, Professor Yongping Wei
Completed supervision
-
2022
Doctor Philosophy
Understanding Riparian Vegetation Dynamics and its Implications on River Regulation in the Goulburn Catchment, Australia
Associate Advisor
Other advisors: Professor Yongping Wei
-
2022
Master Philosophy
Understanding the institutional incoordination on water and the resulting socio-ecological outcomes in the Maipo River basin
Associate Advisor
Other advisors: Professor Yongping Wei
-
2020
Doctor Philosophy
Understanding the impacts of technology development on human-natural system: Agricultural and water technology in China from 8000 BCE to 1911 AD
Associate Advisor
Other advisors: Professor Brian Head, Professor Yongping Wei
Media
Enquiries
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