School of Earth and Environmental Sciences

Dr Yongjing Mao

Research Officer
School of Earth and Environmental Sciences
View researcher profile

Researcher biography

I have a background in remote sensing, spatio-temporal data analysis and data-driven modelling in different environemntal systems, ranging from coastal zones to Great Barrier Reef (GBR) catchments. I have applied these methods globally to classify coastal geomorphology, retrieve historical shoreline change, and predict future shoreline response under sea level rise impacts. I have also researched the fusion of optical and SAR satellite images to reconstruct cloud-contaminated optical pixels. I am currently working on monitoring, regulating and optimizing agricultural activities in GBR catchments with remote sensing and data-driven models to improve the quality of water entering GBR.

Publications

Journal Articles (4)
Thesis (1)
Newspaper Article (1)
Data Collections (3)

Journal Articles

Mao, Yongjing, Harris, Daniel L., Xie, Zunyi and Phinn, Stuart (2022). Global coastal geomorphology – integrating earth observation and geospatial data. Remote Sensing of Environment, 278 113082, 113082. doi: 10.1016/j.rse.2022.113082
Mao, Yongjing, Harris, Daniel L., Xie, Zunyi and Phinn, Stuart (2021). Efficient measurement of large-scale decadal shoreline change with increased accuracy in tide-dominated coastal environments with Google Earth Engine. ISPRS Journal of Photogrammetry and Remote Sensing, 181, 385-399. doi: 10.1016/j.isprsjprs.2021.09.021
Mao, Yongjing, Harris, Daniel L., Callaghan, David P. and Phinn, Stuart (2021). Determining the shoreline retreat rate of Australia using Discrete and Hybrid Bayesian networks. Journal of Geophysical Research: Earth Surface, 126 (6) e2021JF006112. doi: 10.1029/2021jf006112
de Boer, Wiebe, Mao, Yongjing, Hagenaars, Gerben, de Vries, Sierd, Slinger, Jill and Vellinga, Tiedo (2019). Mapping the sandy beach evolution around seaports at the scale of the African continent. Journal of Marine Science and Engineering, 7 (5) 151, 151. doi: 10.3390/jmse7050151

Thesis

Mao, Yongjing (2022). Predicting long-term shoreline response to sea-level rise on continental and global scales with data-driven models. PhD Thesis, School of Earth and Environmental Sciences, The University of Queensland. doi: 10.14264/d566c79

Newspaper Article

Harris, Daniel, Cowley, Dylan and Mao, Yongjing (2022, 05 02). Why some beaches, including in Queensland, are getting bigger despite rising sea levels The Conversation

Data Collections

Mao, Yongjing, Harris, Daniel and Phinn, Stuart (2022). Global coastal geomorphology dataset based on machine learning methods. The University of Queensland. (Dataset) doi: 10.48610/f60606a
Mao, Yongjing and Harris, Daniel (2021). Australian shoreline retreat dataset for Bayesian network analysis. The University of Queensland. (Dataset) doi: 10.14264/fe5a28b
Mao, Yongjing and Harris, Daniel (2021). Efficient measurement of large-scale decadal shoreline change with increased accuracy in tide-dominated coastal environments with Google Earth Engine. The University of Queensland. (Dataset) doi: 10.48610/2d07ef8