Guosheng Zhong

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About

Dr. Guosheng Zhong is a leading figure in satellite-based atmospheric remote sensing, with a focused expertise in aerosol optical depth (AOD) retrieval over land. His major contributions center on developing and refining algorithms to correct for cloud and aerosol interference in greenhouse gas observations. Dr. Zhong pioneered a Modified Aerosol Free Vegetation Index (AFVI) algorithm, specifically designed for the GOSAT TANSO-CAI sensor, enabling more accurate AOD retrieval by leveraging vegetation indices to distinguish surface reflectance from atmospheric scattering. Building on this, he advanced a Dark Target (DT) algorithm tailored for the same sensor, which identifies dense dark vegetation pixels to estimate aerosol loading with improved precision. These works, published in 2016 and 2017, have garnered 6 and 5 citations respectively, establishing foundational methods for the GOSAT mission. His research directly supports the critical goal of correcting atmospheric interference in greenhouse gas measurements, thereby enhancing the reliability of global carbon cycle studies. Through these innovative algorithms, Dr. Zhong has made a lasting impact on the field of satellite aerosol remote sensing, providing essential tools for environmental monitoring and climate research.