Papers
6
Total Citations
90
H-Index
6
About
Tianhai Cheng is a leading figure in satellite-based aerosol remote sensing, specializing in the retrieval of aerosol optical depth (AOD) and land surface reflectance properties. His major contributions include pioneering the N-Dimensional Cost Function (NDCF) method for synergistic multitemporal AOD retrieval from geostationary satellites, and developing high-spatial-resolution algorithms for China’s GF-1 satellite. Cheng’s work has significantly improved the accuracy and consistency of aerosol monitoring over East Asia, with his most cited papers—such as the 2018 Himawari-8 study (26 citations) and the 2016 GF-1 algorithm (23 citations)—demonstrating broad impact. He has also advanced multisensor data synergy by integrating Terra-MODIS, Aqua-MODIS, and Suomi NPP-VIIRS observations, and has characterized aerosol properties over Beijing and Kanpur using AERONET data. Notably, his research on atmospheric modulation transfer functions for Chinese CCD sensors and his recent efforts to establish a unified framework for comparing satellite aerosol products are instrumental in building consistent, high-quality climate datasets. Cheng’s work is essential for understanding aerosol impacts on climate and air quality.
Research Focus
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Top Papers
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