Machine learning and better radar solve the 'cloud cover' problem

Clouds have for decades been a bugbear for remote sensing of land surface temperature—one of the most important earth system metrics, used in everything from tracking climate change to predicting wildfires. A new approach incorporating machine learning appears to have solved this challenge