The current GOES-R and JPSS meteorological satellites have improved capabilities for enhanced fire detection that include more effective monitoring of fire starts, evolution, and smoke. This lesson provides forecasters and others with the opportunity to become more familiar with both GOES-R and JPSS satellite products (including the longwave-shortwave IR difference, Fire Temperature RGB, GeoColor, GOES-R Fire Mask, JPSS Active Fire, and others) during the onset of a large grassland fire event, known as the Rhea Fire, that affected western Oklahoma from April 12-18, 2018.
Interactions and questions provide opportunities for practice using satellite products to analyze different phases of a grassland fire cycle, and feedback reinforces product strengths and limitations as well as best practices.
Identify different satellite products that can be used to detect and monitor fires and smoke.
Compare and contrast the environmental information provided by both high temporal resolution and high spatial resolution products.
Interpret relevant geostationary and polar-orbiting satellite products to maximize the utility of the information they provide for detection and monitoring of wildland fire and smoke.
Evaluate potential fire and smoke impacts and the status of the evolving fire using the current new-generation GOES-R and JPSS satellite products presented in the lesson.
grassland fire, wildland fire, fire detection, fire monitoring, fire evolution, fire starts, smoke, Suomi NPP, S-NPP, JPSS, NOAA-20, VIIRS, polar-orbiting satellite, geostationary satellite, hotspots, hot spots, sub-pixel effect, goes fire detection and characterization product, goes fdc product, VIIRS active fire product, goes fire mask, fire radiative power, fire temperature RGB, visible imagery, shortwave infrared, shortwave ir, longwave ir, longwave infrared day-night band, difference product, day night band, dnb, geocolor product, geocolor imagery
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