Ruijie Li
Papers
1
Total Citations
27
H-Index
1
About
Ruijie Li is a leading researcher in environmental remote sensing and air quality monitoring, whose work has fundamentally advanced the global understanding of atmospheric pollutants. Their primary research areas include aerosol optical depth (AOD) retrieval, fine particulate matter (PM2.5) estimation, and the application of big Earth data analytics for environmental health. Li’s most notable contribution is the development of the LGHAP v2 dataset, a groundbreaking global, gap-free, high-resolution (1 km) daily AOD and PM2.5 concentration record spanning from 2000 to the present. This dataset, detailed in their highly cited 2024 paper (27 citations), overcomes critical spatial data gaps, enabling unprecedented long-term, continuous analysis of air pollution trends worldwide. By leveraging advanced big data analytics, Li has provided the scientific community with an essential tool for epidemiological studies, climate modeling, and policy evaluation. Their work is widely recognized for its practical impact, supporting efforts to link air quality with public health outcomes and environmental change.
Research Focus
Key Achievements
Top Papers
- 1