TFRSAC Fall 2021
Documents
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1_1 Fall TFRSAC Kickoff Presentation -
1_3a NASA Barry Lefer -
1_3b NASA L Friedl -
1_4 USGEO, USGCRP and ICAMS Rapid Fire EO Assessment -
1_6 Steblein Wildland Fire Science Strategic Plan -
2_1 Mellin NIROPS Update -
2_2 PK NASA ARMD Wildfire Management Workshop -
2_4 Johnston Cantin Canadian Torchlight Update -
2_5 Watts Fire and Smoke Model Evaluation Experiment -
3_1 J Sun AI / ML Definitions and Caveats -
3_2 Pavlonis NOAA Automated Fire Detection, Alerting, and Characterization -
3_3 Q Zhu AI - Lawrence Berkeley National Laboratory - Wildfire team -
3_4 K Govil ML Based Wildfire Detection System -
4_1 Morning Kickoff -
4_2 Kuglitsch Focus Group on AI for Natural Disaster Management -
4_3 ML fusing Camera & Geo-stationary Satellite Networks for Fire Intel. -
4_4 Beacon: A ML system for real-time wildfire planning at scale -
4_5 Estimating fire progression using SVM-ML technique -
5_1 Detecting wildfires at the smouldering stage using ML / AI models -
5_2 RADR-Fire AI/ML automated analysis -
5_4 Automated fire perimeter algorithms / Fire Mapping -
5_5 Artificial Intelligence systems for analysis of on-orbit satellite imagery -
6_3 Fire Fuels Detection - Concept Paper -
6_4 Fire Spyer App -
6_5 Update on Wildland Fire Research at NNU -
1_3 NASA ESD and Wildfire Programs -
Agenda with PPT and Recording Links
