Jinlong Fan
Papers
1
Total Citations
35
H-Index
1
About
Jinlong Fan is a leading figure in satellite remote sensing and atmospheric correction, with a particular focus on advancing the retrieval of atmospheric parameters from Chinese FengYun (FY) meteorological satellite data. His most cited work, "An Algorithm to Retrieve Total Precipitable Water Vapor in the Atmosphere from FengYun 3D Medium Resolution Spectral Imager 2 (FY-3D MERSI-2) Data" (2020, 35 citations), addresses a critical challenge in optical remote sensing: the interference of atmospheric water vapor on Earth surface observations. By developing a robust algorithm to extract precipitable water vapor from the MERSI-2 sensor, Fan has significantly improved the accuracy of atmospheric correction for land and ocean applications. This contribution is vital for climate studies, weather forecasting, and environmental monitoring, as water vapor is a key greenhouse gas and a major source of uncertainty in satellite imagery. Fan’s work enhances the utility of China’s growing Earth observation constellation, enabling more precise surface reflectance retrievals and supporting global efforts in hydrology and climate research. His research continues to bridge the gap between satellite instrument design and practical atmospheric science.
Research Focus
Key Achievements
Top Papers
- 1