Liangyun Liu
Papers
1
Total Citations
26
H-Index
1
About
Dr. Liangyun Liu is a leading figure in satellite remote sensing, whose work has fundamentally advanced the accuracy and utility of global Earth observation data. His primary research focuses on atmospheric correction algorithms and the development of high-quality surface reflectance products, which are critical for reliable land-cover monitoring and change detection. Dr. Liu’s most influential contribution is the creation and rigorous validation of a per-pixel atmospheric correction method for Landsat-8 imagery, a technique that leverages MODIS data to correct for atmospheric interference. This work, detailed in his highly cited 2016 paper (26 citations), directly addresses a major bottleneck in remote sensing: the need for consistent, long-term data records from the Landsat series, the world’s longest-running medium-resolution Earth observation program. By enabling more accurate surface reflectance retrieval, his method has empowered countless studies in agriculture, forestry, and urban planning. Dr. Liu’s research is instrumental in transforming raw satellite signals into actionable environmental intelligence, solidifying his reputation as a key innovator in the field of quantitative remote sensing.
Research Focus
Key Achievements
Top Papers
- 1