Papers
14
Total Citations
851
H-Index
12
About
Dr. Jianping Guo is a leading figure in atmospheric remote sensing and big Earth data analytics, whose work has fundamentally advanced our ability to monitor air quality and aerosol distributions. His research centers on developing gap-free, high-resolution air pollutant datasets and rigorously validating satellite aerosol products. His most transformative contribution is the creation of the Long-term Gap-free High-resolution Air Pollutant concentration (LGHAP) dataset, a pioneering big-data framework that fuses multimodal observations to provide seamless, daily 1 km resolution aerosol optical depth (AOD) and PM2.5 data—first for China (143 citations) and now globally (27 citations). Dr. Guo has also been instrumental in evaluating satellite aerosol products, authoring highly cited intercomparison studies of MODIS, MISR, and GOCART data (127 and 120 citations) that have become essential references for the community. His work extends to characterizing aerosol properties over East Africa and analyzing the radiative forcing and diurnal variations of aerosols. Through these efforts, Dr. Guo has provided the scientific community with the foundational data and analytical tools needed to tackle pressing environmental and climate challenges.
Research Focus
Key Achievements
Top Papers
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