Linqing Zou
Papers
1
Total Citations
20
H-Index
1
About
Linqing Zou is a rising researcher in atmospheric remote sensing and environmental monitoring, with a focus on bridging the gap between satellite observations and local-scale air quality applications. His most cited work, "Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine Learning" (2022, 20 citations), introduces a novel method that combines high-resolution Landsat data with machine learning algorithms to retrieve aerosol optical depth (AOD) at an unprecedented 30-meter resolution. This breakthrough addresses a critical limitation of coarse-resolution AOD products, enabling more precise urban air pollution monitoring and local environmental assessments. By leveraging advanced computational techniques, Zou's research enhances the utility of satellite data for fine-scale studies, offering practical tools for policymakers and urban planners. His work has already garnered attention for its potential to transform how researchers and practitioners track particulate matter in complex urban landscapes. As an emerging scholar, Zou continues to push the boundaries of remote sensing science, demonstrating how machine learning can unlock new insights from existing satellite archives.
Research Focus
Key Achievements
Top Papers
- 1