【个人简介】
澳大利亚莫纳什大学土木工程系博士、博士后。主要从事微波土壤水分遥感和智能计算的遥感应用研究。发表学术论文三十余篇，其中在RSE、ISPRS P&RS、IEEE TGRS等遥感领域主流期刊发表SCI论文18篇，参编著作2部。作为主要技术骨干参与澳大利亚研究理事会、美国宇航局等单位相关课题10余项。担任澳大利亚莫纳什大学客座研究员，RSE、IEEE TGRS等10余个SCI期刊审稿人。
【教育经历】
2015.08–2019.09：Monash University，PhD
2012.09–2015.06：南京大学，地图学与地理信息系统，硕士
2008.09–2012.06：浙江师范大学，地理科学，学士
【工作经历】
2019.07–2020.09：Monash University, Research Fellow
2019.01–2019.07：Monash University, Research Officer
【研究方向】
微波土壤水分遥感
智能计算的遥感应用
机载合成孔径雷达
【主要荣誉与获奖】
SSSI Victorian Spatial Excellence Award (2019)
【学术任职】
2020.08至今：Adjunct Research Fellow, Monash University
【代表性论著】
Zhu, L., Walker, J.P., & Shen, C. (2020). Stochastic ensemble methods for multi-SAR-mission soil moisture retrieval. Remote Sensing of Environment. 251, 112099. https://doi.org/10.1016/j.rse.2020.112099
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. https://doi.org/10.1016/j.rse.2019.111433
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. https://doi.org/10.1016/j.rse.2019.111237
Zhu, L., Walker, J.P., Ye, N., Rüdiger, C. (2019). Roughness and vegetation change detection: A pre-processing for soil moisture retrieval from multi-temporal SAR imagery. Remote sensing of environment, 225, 93-106. https://doi.org/10.1016/j.rse.2019.02.027
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. https://doi.org/10.1016/j.isprsjprs.2016.11.003