Jinjie Meng
Papers
1
Total Citations
120
H-Index
1
About
Dr. Jinjie Meng is a leading figure in thermal infrared remote sensing, whose work has fundamentally advanced the retrieval of atmospheric water vapor from satellite imagery. His primary research focuses on developing and refining algorithms to correct for atmospheric interference in land surface temperature measurements, a critical step for climate and environmental monitoring. Dr. Meng’s most impactful contribution is his pioneering 2015 paper on atmospheric water vapor retrieval from Landsat 8 thermal infrared images, which has garnered over 120 citations and established a new standard for the field. In this work, he introduced a modified split-window covariance-variance ratio technique, enabling more accurate water vapor estimates from the TIRS sensor. This innovation directly improves the precision of land surface temperature products, benefiting applications from agricultural water management to urban heat island studies. Dr. Meng’s research is essential for researchers and practitioners who rely on accurate thermal data, and his methodological advances continue to shape the operational use of the Landsat archive for global environmental analysis.
Research Focus
Key Achievements
Top Papers
- 1Atmospheric water vapor retrieval from Landsat 8 thermal infrared images120 citations · 2015