Can Meng

Chinese Academy of Sciences

Papers

1

Total Citations

19

H-Index

1

About

Can Meng is a leading figure in satellite remote sensing, specializing in the synergistic retrieval of aerosol and surface properties. His work bridges critical gaps in Earth observation by developing innovative algorithms that combine data from multiple sensors, such as MODIS and AATSR, to enhance the accuracy of aerosol optical depth (AOD) and land surface directional reflectance measurements. His most-cited paper, "Synergy of MODIS and AATSR for better retrieval of aerosol optical depth and land surface directional reflectance" (2017, 19 citations), exemplifies this contribution, demonstrating how multi-angle, multi-spectral data fusion can overcome the limitations of single-sensor retrievals—a challenge that has long constrained climate and air quality modeling. This foundational work has informed subsequent studies on aerosol-climate interactions and land surface characterization, with his research cited by peers tackling global environmental monitoring. Meng’s achievements reflect a deep commitment to advancing remote sensing methodologies, making him a key resource for students and researchers seeking to understand the intersection of satellite technology, atmospheric science, and land surface dynamics.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Synergy of MODIS and AATSR for better retrieval of aerosol optical depth and land surface directional reflectance
19 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Chinese Academy of Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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