Xin Zuo
Papers
1
Total Citations
19
H-Index
1
About
Xin Zuo is a remote sensing scientist whose research focuses on the synergistic retrieval of aerosol optical depth (AOD) and land surface properties from satellite observations. In their most-cited work, published in 2017, Zuo pioneered a method that combines data from the MODIS and AATSR sensors to simultaneously improve the accuracy of AOD and land surface directional reflectance retrievals. This approach addresses a critical challenge in atmospheric correction by leveraging the complementary spectral and angular capabilities of the two instruments. With 19 citations, the study has provided a foundational framework for advancing aerosol-climate interaction studies and land surface monitoring. Zuo’s contributions are particularly valuable for researchers working on satellite-based environmental monitoring, as their work enhances the reliability of aerosol and surface reflectance products. By bridging sensor synergies, Zuo has enabled more precise assessments of atmospheric composition and terrestrial ecosystems, supporting applications in climate modeling and air quality research. Their work stands as a key reference for integrating multi-sensor data to overcome limitations in remote sensing retrievals.
Research Focus
Key Achievements
Top Papers
- 1