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A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations
2020
Atmospheric Measurement Techniques
We trained two Random Forest (RF) machine learning models for cloud mask and cloud thermodynamic-phase detection using spectral observations from Visible Infrared Imaging Radiometer Suite (VIIRS) on board ...
During the nighttime, the RF all-day model works best for both cloud detection and phase, particularly for pixels over snow and ice surfaces. ...
Advanced Himawari Imager (AHI) on Himawari-8/9, the ABI on GOES-16/17, and the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on Meteosat Second Generation, as long as reliable reference pixel ...
doi:10.5194/amt-13-2257-2020
fatcat:jjrgsfwjjjbghgxzcdbsw2bxnq