Claire Neil
Papers
1
Total Citations
216
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1
About
Claire Neil is a leading expert in satellite remote sensing, with a primary focus on the atmospheric correction of optical imagery for aquatic environments. Her most significant contribution is the development of the iCOR (Image Correction for atmospheric effects) algorithm, a versatile tool that accurately processes satellite data from sensors like Landsat-8/OLI and Sentinel-2/MSI. As demonstrated in her highly cited 2018 paper (216 citations), iCOR is uniquely designed to handle complex coastal, inland, and transitional waters, as well as land surfaces, with minimal adaptation for different sensors. This work has been foundational for improving the quality of water quality monitoring and environmental assessments from space. Neil’s research directly addresses a critical bottleneck in remote sensing: removing atmospheric interference to reveal true surface reflectance. Her adaptable, sensor-agnostic approach has made iCOR a widely adopted standard, enabling more reliable studies of aquatic ecosystems and land cover change. Through this achievement, Claire Neil has significantly advanced the practical application of satellite data for global environmental science.
Research Focus
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Top Papers
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