Jiaxu Guo
Papers
1
Total Citations
4
H-Index
1
About
Jiaxu Guo is a rising researcher in atmospheric remote sensing, with a primary focus on aerosol optical properties and satellite-based environmental monitoring. Their most cited work, "A data-driven method for aerosol FMF retrieval over land using single-view polarization satellite data" (2025), introduces an innovative approach to retrieving the fine-mode fraction (FMF) of aerosols—a critical parameter for understanding air pollution and climate forcing. By leveraging single-view polarization data, Guo’s method overcomes traditional limitations in land-based aerosol characterization, offering a more accessible and scalable solution for global monitoring. This contribution has already garnered 4 citations, signaling early impact in the field. Guo’s research bridges machine learning and satellite remote sensing, demonstrating a commitment to developing data-driven tools that enhance the accuracy and efficiency of atmospheric observations. Their work holds promise for improving air quality assessments and climate models, particularly in regions with complex land surfaces. As an emerging scholar, Jiaxu Guo is establishing a reputation for advancing practical, high-resolution methods in Earth observation, with potential applications in environmental policy and public health.
Research Focus
Key Achievements
Top Papers
- 1