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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 34
A wildfire smoke detection system using unmanned aerial vehicle images based on the optimized YOLOv5
Wildfire is one of the most significant dangers and the most serious natural catastrophe, endangering forest resources, animal life, and the human economy. Recent years have witnessed a rise in wildfire incidents. The two main factors are persistent human interference with the…
Year: 2022
Type: Document
Source: FRAMES
Barkjohn, Holder, Frederick, Clements
PurpleAir particulate matter (PM) sensors are increasingly used in the United States and other countries for real-time air quality information, particularly during wildfire smoke episodes. Uncorrected PurpleAir data can be biased and may exhibit a nonlinear response at extreme…
Year: 2022
Type: Document
Source: FRAMES
Peng, Wang
Fire detection based on computer vision technology can avoid many flaws in conventional methods. However, existing methods fail to achieve a good trade-off in accuracy, model size, speed, and cost. This paper presents a high-performance forest fire recognition algorithm to solve…
Year: 2022
Type: Document
Source: FRAMES
Riley, Grenfell
This seminar is part of the USFS Missoula Fire Lab Seminar Series.
We used a random forests machine learning process to produce a tree-level model of the US by assigning forest plot data from Forest Inventory Analysis (FIA) to landscape data from LANDFIRE at 30x30 resolution.…
Year: 2022
Type: Media
Source: FRAMES
To collect partner and employee input on the Wildfire Crisis Strategy 10-year Implementation Plan, the Forest Service and National Forest Foundation hosted a series of roundtable discussions in the winter and spring of 2022. Individual roundtables were focused on each of the…
Year: 2022
Type: Document
Source: FRAMES
Xu, You
The spatiotemporal variability of vegetation fires is essential for understanding changes in the climate and ecosystem in mountainous regions. MODIS Collection 6 active fire products indicate that the area burned by vegetation fires declined globally from over 4.27 million km2…
Year: 2022
Type: Document
Source: FRAMES
Mohapatra, Trinh
As fires grow in intensity and frequency each year, so has the resistance from their anthropic victims in the form of firefighting technology and research. Although it is impossible to completely prevent wildfires, the potential devastation can be minimized if fires are detected…
Year: 2022
Type: Document
Source: FRAMES
Orland, Kirschbaum, Stanley
Wildfire is a global phenomenon that has dramatic effects on erosion and flood potential. On steep slopes, burned areas are more likely to experience significant overland flow during heavy rainfall leading to post fire debris flows (PFDFs). Previous work establishes methods for…
Year: 2022
Type: Document
Source: FRAMES
Bharany, Sharma, Frnda, Shuaib, Khalid, Hussain, Iqbal, Ullah
Forest fires are a significant threat to the ecological system’s stability. Several attempts have been made to detect forest fires using a variety of approaches, including optical fire sensors, and satellite-based technologies, all of which have been unsuccessful. In today’s…
Year: 2022
Type: Document
Source: FRAMES
Smith, Lamborn
In a rapidly changing environment where fires are becoming more frequent and severe, we need information and tools that can help us understand the broad scope of impacts fire can have in complex social-ecological systems. Taking a novel approach, we used a social-ecological…
Year: 2022
Type: Document
Source: FRAMES
Dockter
In this Open Office Hour, KBR Vegetation Scientist, Daryn Dockter discusses the ins and outs of how LANDFIRE maps Existing Vegetation Cover and Existing Vegetation Height products. Throughout the talk, he describes the update process and methods used to develop these highly…
Year: 2022
Type: Media
Source: FRAMES
The Forest Inventory and Analysis (FIA) program of the Forest Service, an Agency of the U.S. Department of Agriculture, provides what is arguably the most valuable forest resource dataset in the United States. These data are the basis for numerous inquiries across a wide range…
Year: 2022
Type: Document
Source: FRAMES
Since 1998, the Joint Fire Science Program (JFSP) has provided funding and science delivery for scientific studies associated with managing wildland fire, fuels, and fire-impacted ecosystems to respond to emerging needs of managers, practitioners, and policymakers from local to…
Year: 2022
Type: Document
Source: FRAMES
Reddy, Sarika
We identified hot spots trends in global vegetation fires based on 10-year long MODIS fire products. Additionally, we analyzed the occurrence of fire hot spots across climate zones, global land cover and global biodiversity hot spots. Fire hot spot zones were delineated by…
Year: 2022
Type: Document
Source: FRAMES
Engström, Abbaszadeh, Keellings, Deb, Moradkhani
This study seeks to use machine learning to investigate the role of meteorological and climate variables on wildfire occurrence in the Arctic and the global tropical forests biomes. Using monthly fire counts observed by the MODIS satellites in combination with temperature and…
Year: 2022
Type: Document
Source: FRAMES
Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have been commissioned by researchers to enable accurate, online wildfire coverage and tracking. While the majority of prior work focuses on the coordination and control of such multi-robot systems, to date,…
Year: 2022
Type: Document
Source: FRAMES
The annual national report of the Forest Health Monitoring (FHM) program of the Forest Service, U.S. Department of Agriculture, presents forest health status and trends from a national or multistate regional perspective using a variety of sources, introduces new techniques for…
Year: 2022
Type: Document
Source: FRAMES
Nakata, Sano, Mukai, Kokhanovsky
The severity of wildfires is increasing globally. In this study, we used data from the Global Change Observation Mission-Climate/Second-generation Global Imager (GCOM-C/SGLI) to characterize the biomass burning aerosols that are generated by large-scale wildfires. We used data…
Year: 2022
Type: Document
Source: FRAMES
Huang, Downey, Bakos
The occurrence of wildfires often results in significant fatalities. As wildfires are notorious for their high speed of spread, the ability to identify wildfire at its early stage is essential in quickly obtaining control of the fire and in reducing property loss and preventing…
Year: 2022
Type: Document
Source: FRAMES
Duncanson, Kellner, Armston, Dubayah, Minor, Hancock, Healey, Patterson, Saarela, Marselis, Bruening, Goetz, Tang, Hofton, Blair, Luthcke, Fatoyinbo, Abernethy, Alonso, Andersen, Aplin, Baker, Barbier, Bastin, Biber, Boeckx, Bogaert, Boschetti, Boucher, Boyd, Burslem, Calvo-Rodriguez, Chave, Chazdon, Clark, Clark, Cohen, Coomes, Corona, Cushman, Cutler, Dalling, Dalponte, Dash, de-Miguel, Deng, Ellis, Erasmus, Fekety, Fernández-Landa, Ferraz, Fischer, Garcia-Abril, Gobakken, Hacker, Heurich, Hill, Hopkinson
NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI…
Year: 2022
Type: Document
Source: FRAMES
Azami, Orger, Schulz, Oshiro, Cho
The KITSUNE satellite is a 6-unit CubeSat platform with the main mission of 5-m-class Earth observation in low Earth orbit (LEO), and the payload is developed with a 31.4 MP commercial off-the-shelf sensor, customized optics, and a camera controller board. Even though the…
Year: 2022
Type: Document
Source: FRAMES
Healey, Yang
Part of the Science You Can Use Spring 2022 Webinar Series sponsored by the Rocky Mountain Research Station
Forest managers increasingly require statistically grounded estimates of forest carbon storage at the resolution of individual ownerships (a few thousand acres). Carbon…
Year: 2022
Type: Media
Source: FRAMES
Stonesifer
Part of the Science You Can Use Spring 2022 Webinar Series sponsored by the Rocky Mountain Research Station
Aircraft are important fire management tools, but their use can bring substantial costs and associated risks. We developed the Aviation Use Summary (AUS), which is a…
Year: 2022
Type: Media
Source: FRAMES
Ghali, Akhloufi, Souidene Mseddi
Wildfires are a worldwide natural disaster causing important economic damages and loss of lives. Experts predict that wildfires will increase in the coming years mainly due to climate change. Early detection and prediction of fire spread can help reduce affected areas and…
Year: 2022
Type: Document
Source: FRAMES
Becker, Keefe
Mobile technologies are rapidly advancing the field of forest operations and providing opportunities to quantify management tasks in new ways through increased digitalization. For instance, devices equipped with global navigation satellite system and radio frequency transmission…
Year: 2022
Type: Document
Source: FRAMES