Xingxing Jiang

China University of Mining and Technology

Papers

Total Citations

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About

Xingxing Jiang is a leading researcher in satellite-based atmospheric remote sensing, with a primary focus on aerosol optical properties and their implications for air quality and climate. His work centers on developing and validating high-resolution retrieval algorithms for key aerosol parameters, most notably Aerosol Optical Depth (AOD) and single scattering albedo (SSA). Jiang’s major contributions include pioneering a method for retrieving high-spatial-resolution AOD from satellite data, enabling precise urban air pollution monitoring—a critical advancement for public health and environmental policy. He also proposed the innovative ASL algorithm for hourly SSA retrieval over land using geostationary satellite data, directly addressing a key uncertainty in aerosol radiative forcing calculations. His research further extends to reconstructing long-term AOD records from AVHRR data, providing over 40 years of continuous observations essential for climate trend analysis. With his most-cited paper garnering 15 citations and his work consistently advancing the field, Jiang’s algorithms are foundational for both operational air quality assessments and long-term climate studies. His achievements position him as a key figure in bridging satellite technology and environmental science.