Papers
6
Total Citations
147
H-Index
4
About
Chong Shi is a remote sensing scientist specializing in atmospheric and oceanic optics, with a particular focus on aerosol optical property retrieval and ocean color research using satellite-based instruments. His work sits at the intersection of radiative transfer modeling, algorithm development, and environmental monitoring from space. Shi's most significant contributions center on advancing aerosol retrieval methodologies over ocean surfaces. His landmark 2020 study (66 citations) introduced an innovative artificial neural network-based radiative transfer scheme for the GOSAT-2/CAI-2 satellite, delivering fast yet accurate aerosol optical property estimates. Building on this, his 2019 research (35 citations) demonstrated the power of multi-pixel inversion approaches for multispectral satellite instruments, moving beyond traditional pixel-by-pixel retrieval limitations. His earlier work tackling the notoriously difficult challenge of simultaneously retrieving aerosol optical thickness and water-leaving radiance in turbid coastal waters (24 citations) further underscores his methodological ingenuity. Shi has also contributed to ocean color science through evaluating next-generation geostationary satellite products, including Himawari-8, and applying them to photosynthetically active radiation calculations. With over 140 cumulative citations, his research directly supports improved atmospheric correction and environmental monitoring across both open-ocean and coastal environments, making his work highly relevant to climate and marine science communities.
Research Focus
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