Dr. Liujun Zhu
Dr. Liujun Zhu
Qualifications
- PhD, Monash University
Zhu, L., Yuan, S., Liu, Y., Chen, C., & Walker, J.P. (2023). Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation. Remote Sensing of Environment, 287, 113466.
Zhu, L., Si, R., Shen, X., & Walker, J. (2022). An advanced change detection method for time series soil moisture retrieval from Sentinel-1. Remote Sensing of Environment, 279, 113137.
Zhu, L., Webb, G., Yebra, M., Scortechinic, G., Larraondoc, P., & Petitjeana, F. (2021). Live fuel moisture content estimation from MODIS: a deep learning approach. ISPRS Journal of Photogrammetry and Remote Sensing. 179, 81-91.
Zhu, L., Walker, J.P., & Shen, C. (2020). Stochastic ensemble methods for multi-SAR-mission soil moisture retrieval. Remote Sensing of Environment. 251, 112099.
Zhu, L., Walker, J.P., Rdiger, C., & Xiao, P. (2020). Identification of agricultural row features using optical data for scattering and reflectance modelling over periodic surfaces. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1729-1739
Zhu, L., Walker, J.P., Tsang, L., Huang, H., Ye, N., & Rüdiger, C. (2019). A multi-frequency framework for soil moisture retrieval from time series radar data. Remote Sensing of Environment, 235, 111433.
Zhu, L., Walker, J.P., Tsang, L., Huang, H., Ye, N., & Rüdiger, C. (2019). Soil moisture retrieval from time series multi-angular radar data using a dry down constraint. Remote Sensing of Environment, 231, 111237.
Zhu, L., Walker, J.P., Ye, N., Rüdiger, C. (2019). Detecting anomaly surface changes towards safe soil moisture retrieval from multi-temporal SAR imagery at High Resolution. Remote sensing of environment, 225, 93-106.
Zhu, L., Walker, J.P., Ye, N., Rüdiger, C., Hacker, J., Panciera, R., Tanase, M.A., Wu, X., Gray, D., Stacy, N., Goh, A., Yardley, H., & Mead, J. (2018). The Polarimetric L-band Imaging Synthetic aperture radar (PLIS): description, calibration and cross-validation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,11, 4513-4525.
Zhu, L., Xiao, P., Feng, X., Zhang, X., Huang, Y., & Li, C. (2016). A co-training, mutual learning approach towards mapping snow cover from multi-temporal high-spatial resolution satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 122, 179-191.