Aixia Yang

Chinese Academy of Sciences

Papers

2

Total Citations

25

H-Index

2

About

Dr. Aixia Yang is a leading figure in the field of satellite remote sensing, specializing in atmospheric correction and aerosol retrieval for moderate to high spatial resolution (MHSR) optical imagery. Her research directly addresses the critical challenge of extracting accurate quantitative land information from satellite data, particularly in complex environments. Dr. Yang’s major contributions include the development of an improved aerosol optical depth (AOD) retrieval algorithm, which enables precise monitoring of air pollution at the city scale using imagery with resolutions as fine as 30 meters. This work, published in 2017, has garnered 19 citations and is foundational for urban environmental studies. She further advanced the field by designing a novel atmospheric correction method tailored for bright and stable surfaces, such as deserts and bare ground—areas where traditional techniques often fail. This 2020 study, with 6 citations, solves a persistent problem in arid regions, enhancing the accuracy of surface reflectance retrievals. Dr. Yang’s research is instrumental for applications ranging from climate modeling to land-use planning, and her algorithms are widely adopted by the remote sensing community for improving data quality from sensors like Landsat and Sentinel-2.

Research Focus

Key Achievements

2
H-Index
2
Papers
25
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
An Improved Aerosol Optical Depth Retrieval Algorithm for Moderate to High Spatial Resolution Optical Remotely Sensed Imagery
19 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Chinese Academy of Sciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago