معرفی
Xiaoling Wu is a Research Fellow in the Department of Civil & Environmental Engineering at Monash University. Her research focuses on advancing soil moisture retrieval techniques using microwave remote sensing technologies, particularly through the integration of L-band and P-band radiometer data. She specializes in developing algorithms for enhancing spatial resolution of soil moisture measurements and improving the accuracy of vegetation optical depth estimation in dense crop canopies.
Her work contributes to the United Nations Sustainable Development Goals (SDGs), particularly in environmental monitoring and sustainable agriculture. Key collaborations include the SMAP (Soil Moisture Active Passive) mission, where she has validated satellite data products and explored downscaling algorithms to bridge coarse-resolution radiometer data with high-resolution radar observations.
Xiaoling’s research spans satellite and airborne microwave observations, Bayesian modeling, and machine learning applications in geoscience. Her publications highlight advancements in multi-layer soil moisture estimation, coherent modeling approaches, and the impact of surface roughness on microwave emission. She has authored over 49 peer-reviewed articles since 2011, with recent contributions emphasizing P-band radiometry and its role in precision agriculture and environmental monitoring.
