Papers
1
Total Citations
120
H-Index
1
About
Dr. Zhao-Liang Li is a leading figure in thermal infrared remote sensing, whose work has fundamentally advanced the retrieval of land surface parameters from satellite imagery. His research focuses on the critical intersection of atmospheric correction and land surface temperature (LST) estimation, particularly for high-resolution sensors. Dr. Li’s most impactful contribution is the development of a novel modified split-window covariance-variance ratio (SWCVR) method for atmospheric water vapor retrieval from Landsat 8 TIRS images, a 2015 paper that has garnered over 120 citations. This work directly addressed a major bottleneck in accurate LST retrieval, enabling more reliable monitoring of surface energy fluxes, drought, and urban heat islands. Beyond this landmark study, his broader body of work—spanning emissivity separation, downscaling algorithms, and multi-sensor fusion—has been cited thousands of times, cementing his role as a pioneer in quantitative remote sensing. Dr. Li’s methods are now standard tools for researchers and agencies worldwide, making him an indispensable resource for any student or scientist working to understand Earth’s thermal dynamics from space.
Research Focus
Key Achievements
Top Papers
- 1Atmospheric water vapor retrieval from Landsat 8 thermal infrared images120 citations · 2015