Session Machine Learning for Smoke and Wildfires


Description:

This session will highlight abstracts utilizing machine learning methods in applications to aerosols and wildfires. This can range from short- to long term- forecasts.


Papers:
Towards Global Fire Radiative Power (FRP) Retrievals from METImage Measurements Using Regional Radiance Machine Learning Models
Yingxin Gu, IMSG at NOAA/NESDIS/STAR, College Park, MD; and I. A. Csiszar, M. Tsidulko, and W. Guo

Submission Deadline: Thursday, 31 August 2023