Point-surface Fusion and Retrieval of Surface Soil Moisture Using Machine Learning
Hongzhang Xu, PhD Student, University of Waterloo, Canada
Monday, March 29, 2021
1:00 PM | (UTC-04:00) Eastern Time (US & Canada)
Soil moisture is an integral part of the Earth’s hydrological and biological cycle. A variety of techniques are available for long-term soil moisture monitoring, such as ground measurement and microwave satellite remote sensing for point- and large-scale soil moisture monitoring, respectively. To improve the accuracy of current Soil Moisture Active Passive (SMAP) satellite soil moisture products, this presentation will introduce “point-surface fusion and retrieval methods” to directly integrate in-situ measurements and satellite observations using machine learning techniques.
Join us for our free webinar on March 29!
Meeting number: 160 836 1038