most citedDevelopment and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2025★ 5 cited

Development and Application of Self-Supervised Machine Learning for Smoke Plume and Active Fire Identification from the FIREX-AQ Datasets

Nicholas LaHaye, Anistasija Easley, Kyongsik Yun +4

Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ) was a field campaign aimed at better understanding the impact of wildfires and agricultural fires on ai…