TFRSAC Fall 2021
Documents
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
