Papers
12
Total Citations
405
H-Index
9
About
Alexander Kokhanovsky is a leading figure in satellite remote sensing of aerosols and snow, with a career dedicated to unraveling the complex interactions between atmospheric particles and the cryosphere. His primary research areas include aerosol optical depth (AOD) retrieval over challenging surfaces like snow and land, as well as the analysis of snow bidirectional reflectance and long-term aerosol trends. Kokhanovsky’s major contributions include developing the Bremen AErosol Retrieval (BAER) method, which enables spectral AOD retrieval over land using ocean color sensors like MERIS and SeaWiFS, and pioneering infrared techniques for aerosol detection over snow-covered regions. His work on trend analysis of AERONET data, cited over 100 times, has provided critical insights into anthropogenic aerosol increases. With a total of nearly 400 citations across his most-cited papers, his impact is evident in studies ranging from Arctic field campaigns (ARCTAS) to wildfire smoke characterization using GCOM-C/SGLI data. Notably, his research on intra-pixel variability of NO₂ columns and PM2.5 estimation over Sweden demonstrates a commitment to bridging satellite observations with air quality and climate applications.
Research Focus
Key Achievements
Top Papers
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- 3Analysis of snow bidirectional reflectance from ARCTAS Spring-2008 Campaign68 citations · 2010
- 4Remote sensing of aerosols over snow using infrared AATSR observations43 citations · 2011
- 5Aerosol optical depth retrieval over snow using AATSR data27 citations · 2013
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- 7Remote sensing of aerosols over snow using infrared AATSR observations17 citations · 2011
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- 9Estimating PM2.5 over southern Sweden using space-borne optical measurements17 citations · 2009
- 10