Papers
1
Total Citations
24
H-Index
1
About
Dr. Pei Leng is a leading figure in satellite remote sensing, specializing in the retrieval of atmospheric and land surface parameters. Her core research focuses on the development of innovative algorithms for estimating precipitable water vapor (PWV) and land surface temperature, critical variables for understanding hydrological cycles and climate dynamics. Dr. Leng’s most notable contribution is a pioneering passive microwave-based algorithm for retrieving PWV over land, a notoriously challenging task due to complex surface emissions. Her 2016 paper on this method, which cleverly bypasses the need for land surface temperature data, has garnered 24 citations, establishing a foundational approach for subsequent studies. By tackling the intricate problem of atmospheric water vapor estimation, her work directly supports advancements in weather prediction, drought monitoring, and climate modeling. Dr. Leng’s research is distinguished by its practical, data-driven solutions that enhance the utility of satellite observations for environmental science, making her a respected authority in the remote sensing community.
Research Focus
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Top Papers
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