Yi Yu is a PhD student under an academic collaboration between the Australian National University (ANU) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). Yi received a B.Mgmt. in Land Resources Management from Southwest University in 2018 and an M.Sc. in Environment (Advanced) from The Australian National University in 2020, where he developed great interests in remote sensing and geospatial modelling. His research interests can be summarised as ‘to better understand spatiotemporal variability of earth observations from a continental scale’. Yi’s PhD project is to explore the role of land surface temperature in improving spatiotemporal predictability of soil moisture-related stress in vegetation. He is also working on an ANU-CSIRO Himawari-8 project which aims at developing best-practice geostationary data products for enhanced sub-daily monitoring of Australia’s ecosystems.
Download my CV.
Contact me at yi.yu.phd@gmail.com
Doctor of Philosophy - Hydrology and Remote Sensing, 2021 - Present
The Australian National University, Australia
Master of Environment (Advanced), 2018 - 2020
The Australian National University, Australia
Bachelor of Land Resources Management, 2014 - 2018
Southwest University, China
Expert
Expert
Expert
Expert
Advanced
Proficient
We proposed a variant of a spatiotemporal fusion method to better accommodate LST’s high temporal dynamics to generate fine-resolution LST estimates.
The downscaled SM shows greatly enhanced spatial details at the local scale while maintaining consistent patterns with AWRA-L analysis at the continental scale. Validations against in-situ measurement networks using Pearson correlation coefficient (R) show that there is very little difference in the performance between the downscaled and AWRA-L SM.