The Alaska Reference Database originated as the standalone Alaska Fire Effects Reference Database, a ProCite reference database maintained by former BLM-Alaska Fire Service Fire Ecologist Randi Jandt. It was expanded under a Joint Fire Science Program grant for the FIREHouse project (The Northwest and Alaska Fire Research Clearinghouse). It is now maintained by the Alaska Fire Science Consortium and FRAMES, and is hosted through the FRAMES Resource Catalog. The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
Type
Topic
Year
Displaying 1 - 25 of 240
Taylor, Alexander
The Canadian Forest Fire Behavior Prediction (FBP) System is a systematic method for assessing wildland fire behavior potential. This field guide provides a simplified version of the system, presented in tabular format. It was prepared to assist field staff in making first…
Year: 2018
Type: Document
Source: FRAMES
Cruz, Alexander
Dear Editor, In a paper published in the January 2016 issue of Fire Technology, Hoffman et al. provide an assessment of crown fire rate of spread predictions of two physics-based models, FIRETEC and the Wildland-urban interface Fire Dynamics Simulator (WFDS), through an indirect…
Year: 2019
Type: Document
Source: FRAMES
Cruz, Alexander, Sullivan
This paper represents our response to the questioning by Mell et al. (2018) of our interpretation (Cruz et al. 2017) of five generalised statements or mantras commonly repeated in the wildland fire behaviour modelling literature. We provide further clarity on key subjects and…
Year: 2018
Type: Document
Source: FRAMES
Alexander, Cruz
We have devised a rule of thumb for obtaining a first approximation of a fire’s spread rate that wildland fire operations personnel may find valuable in certain situations. It is based on the premise that under certain conditions wind speed is the dominant factor in determining…
Year: 2019
Type: Document
Source: FRAMES
Guertin, Goodrich, Burns, Sheppard, Patel, Clifford, Unkrich, Kepner, Levick
Functionality has been incorporated into the Automated Geospatial Watershed Assessment Tool (AGWA) to assess the impacts of wildland fire on runoff and erosion. AGWA (https://www.epa.gov/water-research/automated-geospatial-watershed-assess... or www.tucson.ars.ag.gov/agwa) is a…
Year: 2019
Type: Document
Source: FRAMES
Boschetti, Roy, Giglio, Huang, Zubkova, Humber
This paper presents a Stage 3 validation of the recently released Collection 6 NASA MCD64A1 500 m global burned area product. The product is validated by comparison with Landsat 8 Operational Land Imager (OLI) image pairs acquired 16 days apart that were visually interpreted.…
Year: 2019
Type: Document
Source: FRAMES
Long
The impact of wildland fire smoke on air quality and health is an issue growing in importance to many health officials across the country, as well as federal, state and local decision-makers. This webinar gives an overview of EPA’s tools and resources available to provide public…
Year: 2019
Type: Media
Source: FRAMES
Schaefer, Magi
For this study, we characterized the dependence of fire counts (FCs) on soil moisture (SM) at global and sub-global scales using 15 years of remote sensing data. We argue that this mathematical relationship serves as an effective way to predict fire because it is a proxy for the…
Year: 2019
Type: Document
Source: FRAMES
Rupp, Bieniek, Ziel, Bhatt
Meeting on Thursday November 29th, 2018 at the Alaska Fire Service on the Alaska Climate Adaption Science Center Wildfire Forecasting. Presenters include: Scott Rupp, Peter Bieniek, Robert (Zeke) Ziel, and Uma Bhatt
Year: 2018
Type: Media
Source: FRAMES
Yuan, Wang, Wu, Gao, Sun
Traditional wildfire detection methods are of low efficiency and cannot meet user needs, a novel method based on deep time and space features along transmission line is proposed in this paper, which uses ViBe algorithm to detect movements in videos, and extracts static deep…
Year: 2018
Type: Document
Source: FRAMES
Wagenbrenner, Forthofer, Page, Butler
An open source computational fluid dynamics (CFD) solver has been incorporated into the WindNinja modeling framework. WindNinja is widely used by wildland fire managers, as well as researchers and practitioners in other fields, such as wind energy, wind erosion, and search and…
Year: 2019
Type: Document
Source: FRAMES
Leach
This seminar is part of the USFS Missoula Fire Lab Seminar Series.
The National Weather Service (NWS) Real-Time Mesoscale Analysis (RTMA) has been developed to provide a national standard Analysis of Record (AoR) for large scale verification and bias-correction efforts. The RTMA…
Year: 2019
Type: Media
Source: FRAMES
Cansler
This seminar is part of the USFS Missoula Fire Lab Seminar Series.
Predictive models of tree mortality and survival are vital for management planning and understanding fire effects in forest communities and landscapes. Post-fire tree mortality has been traditionally modeled as…
Year: 2019
Type: Media
Source: FRAMES
Powers, Bresch, Schwartz, Coen, Sobash
Abrupt changes in wind direction and speed can dramatically impact wildfire development and spread. Most importantly, such changes can pose significant problems to firefighting efforts and have resulted in a number of fire fatalities over the years. Frequent causes of such wind…
Year: 2019
Type: Document
Source: FRAMES
Blunck, Butler, Bailey, Wagenbrenner
Spot fires caused by lofted embers (i.e., firebrands) can be a significant factor in the spread of wildland fires. Embers can be especially dangerous near the wildland urban interface (WUI) because of the potential for the fire to be spread near or among structures. Many studies…
Year: 2019
Type: Document
Source: FRAMES
Malevich, Guiterman, Margolis
We developed a new software package, burnr, for fire history analysis and plotting in the R statistical programming environment. It was developed for tree-ring fire-scar analysis, but is broadly applicable to other event analyses (e.g., avalanches, frost rings, or culturally…
Year: 2018
Type: Document
Source: FRAMES
Prichard, Kennedy, Andreu, Eagle, French, Billmire
Biomass mapping is used in variety of applications including carbon assessments, emission inventories, and wildland fire and fuel planning. Single values are often applied to individual pixels to represent biomass of classified vegetation, but each biomass estimate has…
Year: 2019
Type: Document
Source: FRAMES
McAndrew, Forgotson, Johnson, Delgado Arias
A joint U.S. Forest Service (USFS)–NASA Applications Workshop took place April 29–May 2, 2019. The USFS hosted the meeting at its Geospatial Technology and Applications Center (GTAC) in Salt Lake City, UT. This unique collaborative venture bought together representatives from…
Year: 2019
Type: Document
Source: FRAMES
Belval, Wei, Bevers
Wildland firefighting requires managers to make decisions in complex decision environments that hold many uncertainties; these decisions need to be adapted dynamically over time as fire behavior evolves. Models used in firefighting decisions should also have the capability to…
Year: 2019
Type: Document
Source: FRAMES
Noble, Anderson
A demonstration of the Landscape Burn Probability in IFTDSS.
Year: 2019
Type: Media
Source: FRAMES
Alexander
Heuristic approaches to problem solving, commonly called rules of thumb, employ practical, quick, in the moment, methods that are not intended to be strictly accurate or reliable in every situation but sufficient for most decision making situations, especially when there is…
Year: 2019
Type: Media
Source: FRAMES
Blankenship
Powerpoint talk presented by Dr. Clay Blankenship, Universities Space Research Association (USRA)/NASA Short-Term Prediction Research and Transition (SPoRT)
Soil moisture is a critical variable for agriculture and for predicting fire risk, and monitoring drought and water…
Year: 2019
Type: Media
Source: FRAMES
Parisien, Dawe, Miller, Stockdale, Armitage
Wildland fire scientists and land managers working in fire-prone areas require spatial estimates of wildfire potential. To fulfill this need, a simulation-modelling approach was developed whereby multiple individual wildfires are modelled in an iterative fashion across a…
Year: 2019
Type: Document
Source: FRAMES
Ziel, Moore, Lahm
The Advanced Fire Environment Learning Unit (AFELU) will host three speakers to talk about Predictive Services comparison tools (Robert Ziel, Alaska Fire Science Consortium), predicting fire behavior in Alaska (Chris Moore, Alaska Fire Service), and smoke tools (Pete Lahm, US…
Year: 2019
Type: Media
Source: FRAMES
Coffield, Graff, Chen, Smyth, Foufoula-Georgiou, Randerson
Fires in boreal forests of Alaska are changing, threatening human health and ecosystems. Given expected increases in fire activity with climate warming, insight into the controls on fire size from the time of ignition is necessary. Such insight may be increasingly useful for…
Year: 2019
Type: Document
Source: FRAMES