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Category: Fire detection

Pyrocumulonimbus clouds created by a wildfire complex in British Columbia

GOES-18 (GOES-West) Day Land Cloud Fire RGB, Shortwave Infrared (3.9 µm), “Clean” Infrared Window (10.3 µm) and Near-Infrared “Vegetation” (0.86 µm) images with an overlay of the Fire Power derived product (a component of the GOES Fire Detection and Characterization Algorithm FDCA) (above) showed that the Hossitl Creek wildfire complex northeast of Fort Nelson (CYYE) — in far northeastern British Columbia... Read More

Wildfire in British Columbia produces a pyrocumulonimbus cloud

GOES-18 (GOES-West) Day Land Cloud Fire RGB, Shortwave Infrared (3.9 µm), “Clean” Infrared Window (10.3 µm) images along with the Fire Power derived product (a component of the GOES Fire Detection and Characterization Algorithm FDCA) (above) showed a wildfire southeast of Dease Lake (CWDL) in northern British Columbia that produced a pyrocumulonimbus (pyroCb) cloud late in the day... Read More

Pyrocumulonimbus cloud produced by the Pulp Road Fire in North Carolina

GOES-16 (GOES-East) “Clean” Infrared Window (10.3 µm) + Fire Power (a component of the GOES Fire Detection and Characterization Algorithm FDCA), Shortwave Infrared (3.9 µm), Day Land Cloud Fire RGB and Fire Temperature RGB images (above) showed thermal signatures and pyrocumulus pulses associated with the Pulp Road Fire in far southeastern North Carolina on 16 June 2023. Beginning at 1646... Read More