GOES-R/JPSS Case Exercise: Detecting and Monitoring Western US Wildfires: This lesson provides information on GOES-R and JPSS improved capabilities for detecting and monitoring wildland fires in the Western US and similar geographic regions. The California Kincade fire of October 2019 is highlighted. In this case, satellite monitoring capabilities provided useful tactical information to meteorologists who were working with fire agencies, emergency managers and first responders throughout the life of the fire. Combined with the knowledge on the ground and the tireless work of individuals who were battling the blaze, many people were effectively removed from danger and the impacts of this fire were less significant than they could have been had it not been effectively monitored using an array of tools, including satellite.
Multispectral Satellite Applications: Monitoring the Wildland Fire Cycle, 2nd Edition: This lesson describes current and future satellite sensors and products used for monitoring the fire cycle. Product information is presented in the context of the fire lifecycle: from assessing the pre- and post-fire environment to detecting and monitoring active fires, smoke, and aerosols. This updated version of the lesson includes new information on GOES-R fire-related applications.
Satellite Feature Identification: Ring of Fire: Introduces forecasters to the potentially damaging convection that can develop in conjunction with blocking high pressure centers and examines how to identify it from a water vapor imagery perspective. This module is also available in French and Spanish.
Day Land Cloud Fire RGB: The focus of this micro-lesson is on the Natural Color Fire RGB product. This RGB is similar to the Day Land Cloud or Natural Color RGB; however, one of the channels is replaced to specifically focus on fire hot spots. The RGB allows one to view the smoke and fire hot spots within the same product. The case used for this object is the October 2017 Northern California Firestorm. The objective for this item is to have the forecaster demonstrate the ability to identify various hot spots within the Day Land Cloud Fire RGB imagery. Download Day Land Cloud Fire RGB Quick Guide (PDF).
Fire Temperature RGB: This micro-lesson illustrates the application of the Fire Temperature RGB developed originally using the VIIRS imager on Suomi-NPP and translated for use with the GOES-16/17 ABI. This RGB takes advantage of the difference in saturation of several short-wave infrared channels when sensing wildfires. Traditional “hotspots” via short-wave infrared imagery is compared to the RGB imagery which provides an intensity estimate based on the saturation level of the individual channels. Download Fire Temperature RGB Quick Guide (PDF).
GOES-R Fire Characterization, Land Surface Temperature and Snow: This module is part of the GOES-R Satellite Foundational Course and covers GOES-R Series products for fire detection, land surface temperature and snow cover.