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About

Feiyue Mao is a leading figure in satellite-based aerosol remote sensing, with a research focus on improving the monitoring of air pollution, particularly fine particulate matter (PM2.5), across China. His most impactful work, cited over 130 times, pioneered the use of Himawari-8 geostationary satellite data to derive hourly PM2.5 concentrations over the heavily polluted Beijing–Tianjin–Hebei region, overcoming the limitations of polar-orbiting satellites. Mao has made major contributions to the evaluation and validation of aerosol optical depth (AOD) products from multiple satellite sensors, including Himawari-8/AHI, VIIRS, and Gaofen-1/6, as well as reanalysis datasets like MERRA-2 and CAMS. His research has been instrumental in advancing high-resolution AOD retrieval, achieving a groundbreaking 160-meter resolution for urban areas, and developing fusion methods that combine active and passive remote sensing data using Bayesian maximum entropy. With a total of over 280 citations across his most-cited works, Mao’s rigorous validation studies against AERONET and sun photometer networks have set benchmarks for data quality. His work is essential for researchers and policymakers seeking reliable, high-temporal-resolution aerosol data to assess health risks and environmental quality.