Phenology & Agricultural and Environmental Management
Eyes in the Sky Enable Us to Make Informed Decisions
In agriculture, phenological observations have a long tradition since many management decisions and the timing of field works (planting, fertilizing, irrigating, crop protection, harvesting, etc.) are based on plant development.
In environmental management, phenology indicates plant growth conditions and provides essential information of biomass, and vegetation function and structure. These are essential for bushfire, degradation, ecological restoration, conservation projects.
Our group has developed state-of-the-art algorithms using advanced satellite remote sensing technologies, to track plant growth in the context of agricultural and environmental managements. We collaborate widely with prestige research groups around the world, including agriculture focused groups led by Professor Jadu Dash at University of Southampton in the UK, Professor Wenjiang Huang and Professor Dailiang Peng at Chinese Academy of Sciences, Professor Pablo Zarco-Tejada at University of Melbourne, Professor Raffaele Casa at Tuscia University in Italy, Research Director at Italian National Research Council Stefano Pignatti; and environment focused groups led by Professor Trevor Keenan at UC Berkeley, Professor William Smith at University of Arizona, and Professor Emily Nicholson at Deakin University.
Selected Publications
Qian, Binxiang, et al. "A sentinel-2-based triangular vegetation index for chlorophyll content estimation." Agricultural and Forest Meteorology 322 (2022): 109000. https://doi.org/10.1016/j.agrformet.2022.109000
Xie, Qiaoyun, et al. "Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery." International Journal of Applied Earth Observation and Geoinformation 80 (2019): 187-195. https://doi.org/10.1016/j.jag.2019.04.019
Xie, Qiaoyun, et al. "Vegetation indices combining the red and red-edge spectral information for leaf area index retrieval." IEEE Journal of selected topics in applied earth observations and remote sensing 11.5 (2018): 1482-1493. 10.1109/JSTARS.2018.2813281
Anniballe, Roberta, et al. "Sinergistic use of radar and optical data for agricultural data products assimilation: A case study in Central Italy." 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2015. 10.1109/IGARSS.2015.7326544
Wu, Chaoyang, et al. "Improved estimation of light use efficiency by removal of canopy structural effect from the photochemical reflectance index (PRI)." Agriculture, Ecosystems & Environment 199 (2015): 333-338. https://doi.org/10.1016/j.agee.2014.10.017
