Zerun Zhu
Papers
1
Total Citations
25
H-Index
1
About
Zerun Zhu is an environmental remote sensing researcher whose work focuses on improving the spatial coverage and reliability of satellite-derived aerosol data for climate and health applications. His most cited study, "Improving Spatial Coverage for Aqua MODIS AOD using NDVI-Based Multi-Temporal Regression Analysis" (2017, 25 citations), addresses a critical limitation in MODIS Aerosol Optical Depth (AOD) datasets—the significant data gaps caused by orbit-scanning patterns and persistent cloud cover. By leveraging the Normalized Difference Vegetation Index (NDVI) in a multi-temporal regression framework, Zhu developed a method to recover missing AOD values, thereby enhancing the completeness and usability of these essential atmospheric datasets. This contribution is particularly valuable for researchers studying aerosol impacts on climate, air quality, and public health, where continuous spatial coverage is crucial. Zhu’s work demonstrates a practical, data-driven approach to filling observational gaps, making satellite remote sensing products more robust for long-term environmental monitoring and policy-relevant analyses.
Research Focus
Key Achievements
Top Papers
- 1