Historically, wildfire detection in Alaska relied on keeping an eye on neighborhoods and on lightning storms. Much of the detection around the state was done by aerial patrols beginning in 1973. In fact, in 1978 the BLM had 12 aircraft dedicated solely to fire detection and another six smokejumper aircraft which often did loaded patrols after widespread thunderstorm activity!
Alaska Department of Forestry T-28 Trojan on the ramp at Ft. Wainwright, 1988. (Photos by Linn Clawson). Below, pilot and observer were required to wear parachutes on missions in the WW2 vintage fighter-turned-detection aircraft
Then, at the turn of this century, it became apparent that the weather satellites MODIS Terra and Aqua could detect heat signatures of fire—fortunate timing because the price of contracted aircraft had skyrocketed and those surplus WW2 airplanes were mostly out of service.
Alaskan fire managers excitedly tested the use of spaceborne images to make wildfire detection faster and less expensive. Although these satellites are now nearing the end of their useful life (after 20 years in orbit), the VIIRS instruments aboard two newer satellites are starting to provide data.
Alaskan fire managers again are eager to make use of the new capacity, and are receiving help from key partners, inside and outside of Alaska. Several talks and posters at the 2020 American Geophysical Union (AGU) meeting held virtually in December highlighted important facets of ongoing efforts to harness the latest science and technology for use in Alaska.
The above figure (R. E. Wolfe, et al. FIRMS US/Canada – An Extension of NASA Near Real-Time FIRMS for the Forest Service and Inter-agency Wildfire Management Community—Fig. 1) diagrams the extensive network of agency and institution partnerships that have been established to gather and serve fire detection data to meet fire agencies needs around the country. With respect to the polar-orbiting satellites carrying some of these sensors, including VIIRS, Alaska find itself advantaged by twice as many daily satellite passes. Even more exciting, the Alaska Satellite Facility (ASF)—in the Geophysical Institute on the UAF campus– downloads the raw data directly, without waiting for processing and server functions in the lower 48. In the last couple years, ASF and GINA (Geographic Information Network of Alaska) have teamed up to feed VIIRS satellite detection hotspots directly to a digital map layer that can be accessed by fire managers less than one hour after the satellite passes. Compare the simplicity of the Alaska model with the above path for MODIS “rapid-response” data!
This kind of state-of-the-art service has taken a lot of logistical planning, hard work, and scrambles for funding both at the University of Alaska as well as the Alaska Interagency Coordination Center. The hard works pays dividends by giving fire management in Alaska a much needed boost against the background of longer, hotter fire seasons with flat suppression funding.
Not only has the satellite “hotspot” data proved useful for finding fires, it also is boosting our ability to monitor, model, and predict fire spread. A talk by Dr. Chris Waigl outlined how maximizing the use of three key remotely-sensed data streams: snow-off date to help start fire danger index models, improved wall-to-wall rasterized visuals of fuel drying by region, and improved regional algorithms to maximize the accuracy and sensitivity of satellite hotspot identification, were all used to good effect by Alaska fire management in 2020. Having the remotely sensed data to help with prioritization and decision-making was especially strategic during the COVID pandemic when managers were striving to spare staffing and reduce travel to rural villages.
Figure 3 Example of VIIRS fire heat points use in fire spread monitoring, P. Hickman.
The potential utility of remotely-sensed data for wildfire management has been recognized by scientists and agencies for some time, but it’s not always easy to bring a product from the laboratory to the operations room. There have been many discussions at various national levels and even a grassroots workshop in Fairbanks “Opportunities to Apply Remote Sensing in Boreal/Arctic Wildfire Management & Science”sponsored by NASA and facilitated by the Alaska Fire Science Consortium in 2017 addressing the potential application of remotely-sensed data. And although the story seemed very successful, given the above, it’s not over! Canada plans to launch the world’s first dedicated wildfire monitoring satellite constellation, WildFireSat, in 2025. And now we are thinking of ways to harness Artificial Intelligence for fire detection and spread monitoring! Stay tuned.
List of the AGU talks/posters referenced with links:
Hickman, Pete; Jenkins, Jennifer; Schmunk, Gary; Delamere, Jennifer; Dierking, Carl; Cable, Jay; Wirth, Greg; Seaman, Curtis; York, Alison; Ziel, Robert. 2020, VIIRS Direct Broadcast Advances for Improved Wildland Fire Monitoring in Alaska. Talk, Presented at 2020 Fall Meeting, AGU, 15 Dec.
Waigl, Chris 2020, Science-to-Operations for Alaska Wildfire Management in Times of COVID-19: Usability Lessons from Rapid Data Tool Development. Talk, Presented at 2020 Fall Meeting, AGU, 15 Dec.
Wolfe, Edward; Quayle, Bard; Davies, Diana; Ederer Gergory; Olsina Otmar. 2020, FIRMS US/Canada – An Extension of NASA Near Real-Time FIRMS for the Forest Service and Inter-agency Wildfire Management Community. Talk, Presented at 2020 Fall Meeting, AGU, 15 Dec.
Ziel, Robert; Schmidt, Jennifer; Calef, Monika; Varvak, Anna. 2020, Detecting Temporal Changes in Land Cover Based on Disturbance in Alaska. Poster, presented at 2020 Fall Meeting, AGU, 15 Dec.