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Notes
1. GOES-R Fire Characterization, Land Surface Temperature and Snow
2. Baseline Products from GOES-R
3. Fire AWIPS Products in this training
4. How Does Fire Detection and Characterization Work?
5. FDCA with the ABI
6. Response is greater at 3.9 compared to 11
7. Example over Brazil
8. Napa Valley Fire developed very quikcly
9. Faintly visible in 3.9
10. Faintly visible in 3.9
11. Fire Detection Algorithm shows a Processed Fire
12. 5 minutes later -- fire is hotter
13. And hotter still after 5 more minutes
14. Saturated the pixel after only 15 minutes. Rapid Growth!
15. 3.9 mm channel is very sensitive!
16. 5-minute vs. 1-minute behavior
17. Other ways to detect fires
18. Land Surface Characteristics / Snow in this training
19. Land Surface Temperature
20. Zenith Angle Differences
21. Land Surface Temperature
22. Snow Cover
23. What does the Snow Cover look like?
24. Internet Resources
GOES-R Fire FDCA Surface Temperature Snow v2
Resources
Here are some useful links and documents:
Planck Function Curves
CIMSS Blog Post on WF_ABBA detection of Georgia Fire in 2007
OSPO Documentation on Satellite Radiance to Brightness Temperature Conversion
CIMSS Blog Post on Land Surface Temperature
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