Chao Zeng
Papers
1
Total Citations
25
H-Index
1
About
Chao Zeng is a remote sensing researcher whose work centers on satellite-based environmental monitoring, with particular expertise in aerosol retrieval and atmospheric data reconstruction. His most recognized contribution addresses one of the persistent challenges in satellite climatology: the incomplete spatial coverage of aerosol optical depth (AOD) datasets derived from NASA's Aqua MODIS instrument. In his 2017 study, Zeng developed an innovative NDVI-based multi-temporal regression framework to recover AOD data lost to orbital scanning gaps and cloud obscuration — a methodological advance that meaningfully expands the usability of MODIS aerosol products for air quality and climate research. This work has garnered 25 citations, reflecting its practical value to the broader remote sensing and environmental health communities. By bridging gaps in satellite coverage through statistically grounded approaches, Zeng's research enhances the reliability of long-term aerosol datasets that underpin studies on pollution exposure, radiative forcing, and public health risk assessment. His contributions speak to a growing need for robust data reconstruction techniques as researchers increasingly rely on satellite observations to monitor rapidly changing atmospheric conditions across the globe.
Research Focus
Key Achievements
Top Papers
- 1