Linling Tang

Wuhan University

Papers

1

Total Citations

4

H-Index

1

About

Linling Tang is an environmental remote sensing researcher whose work focuses on the retrieval and validation of high-temporal-resolution aerosol products, particularly in polluted urban environments. Her most cited study, "Impact of environmental pollution on the retrieval of hourly aerosol products from Advanced Himawari Imager (AHI) over Beijing" (2020), addresses a critical challenge in satellite-based atmospheric monitoring: how heavy pollution degrades the accuracy of aerosol optical depth retrievals from geostationary sensors. By systematically analyzing retrieval errors under varying pollution levels over Beijing, Tang provided essential insights for improving algorithms that support air quality monitoring and climate studies. Though early in her career, her work has already garnered attention, with this paper cited four times—a meaningful start for a niche technical contribution. Tang’s research bridges the gap between satellite remote sensing technology and real-world environmental challenges, offering practical solutions for enhancing data reliability in regions with severe aerosol loading. Her findings are particularly valuable for researchers working on atmospheric correction, air pollution epidemiology, and the calibration of next-generation geostationary sensors like Himawari-8/9.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Impact of environmental pollution on the retrieval of hourly aerosol products from Advanced Himawari Imager (AHI) over Beijing
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Wuhan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago