Maoxin Song

Papers

Total Citations

H-Index

About

Maoxin Song is a leading figure in satellite-based atmospheric remote sensing, with a primary focus on advancing water vapor retrieval techniques and polarization-based atmospheric correction. His most cited work, "Columnar Water Vapor Retrieval by Using Data from the Polarized Scanning Atmospheric Corrector (PSAC) Onboard HJ-2 A/B Satellites" (2022, 14 citations), represents a significant contribution to China’s environmental monitoring capabilities. In this study, Song developed a novel method to accurately extract columnar water vapor from the PSAC instrument aboard the HJ-2 A/B satellites—the latest members of China’s Environmental Protection and Disaster Monitoring Satellite Constellation, launched in September 2020. His approach enhances the precision of atmospheric correction, directly benefiting land surface and aerosol studies. By integrating polarization data, Song’s work addresses long-standing challenges in water vapor estimation over complex terrains, improving data reliability for climate and hydrological models. This research not only strengthens China’s satellite observation network but also provides a critical tool for global atmospheric science. Song’s contributions are foundational for researchers and students working on satellite remote sensing, atmospheric correction, and environmental monitoring, marking him as a key innovator in his field.