On June 2, 2026, a review meeting for Subproject 3, Mechanism Modeling and Inversion Algorithms for Full-Spectrum Snow Remote Sensing, was held at International Campus, Zhejiang University. As part of the National Key R&D Program of China project Mechanism Modeling and Quantitative Inversion Technologies for Three-Dimensional Remote Sensing of Soil, Vegetation, and Snow/Ice for Domestic Satellites, the meeting focused on the Wet Snow Microwave Scattering Model, led by ZJUI Associate Professor Tan Shurun, and the Snow Thermal Infrared Emissivity Model, led by Associate Professor Xiong Chuan of Southwest Jiaotong University.
This project focuses on advancing three-dimensional remote sensing mechanism models and high-precision inversion technologies for next-generation domestic satellite payloads, with the goal of enhancing observational capabilities for critical environmental variables including soil, vegetation, snow and ice. Associate Professor Tan Shurun’s research group leads the development of microwave radiation and scattering models for typical natural land surfaces, providing foundational theoretical support for core model construction and quantitative inversion research.
Attendees included experts and project members from Zhejiang University, the National Space Science Center of the Chinese Academy of Sciences, Zhejiang Guoyao Geographic Information Technology Co., Ltd., Fudan University and Southwest Jiaotong University. Professor Li Er-Ping, Foreign Member of the Chinese Academy of Engineering, Qiushi Chair Professor at Zhejiang University, and Founding Dean of ZJUI, and Associate Professor Wee-Liat Ong, Vice Dean of ZJUI, delivered opening remarks.
During the technical review session, Associate Professor Tan Shurun, Post-doctoral Researcher Fang Yiwen and Du Jiayi presented the team’s progress on wet snow microwave scattering modeling, showcasing detailed model functionalities and validation results. Associate Professor Xiong Chuan from Southwest Jiaotong University and his team member Li Xudong respectively reported on advances in snow thermal infrared emissivity modeling and demonstrated the model testing and demonstration platform. Experts conducted in-depth discussions on model assumptions, parameter configurations, validation outcomes, applicability boundaries and proposed targeted recommendations for future improvements.
The conference also featured a poster session highlighting research on snow and ice remote sensing models, data processing pipelines, platform applications and experimental validation. Li Jiahui, a 2025 master’s student in Electronic Information, showcased his research on virtual reality-enabled electromagnetics education, and attendees had the opportunity to experience the group’s immersive Virtual Reality Electromagnetics Laboratory.
Following the meeting, attendees toured the research group’s custom-built Ground-Based Microwave Scatterometer System and ZJUI laboratories. The conference concluded the centralized testing and expert review of the two core snow remote sensing models, systematically consolidated interim research achievements, and outlined clear next steps for model optimization, multi-source data validation and platform-based application deployment.
