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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 2537
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
Yung, Gray, Wyborn, Miller, Williams, Essen
Background: Wildfire mitigation is becoming increasingly urgent, but despite the availability of mitigation tools, such as prescribed fire, managed wildfire, and mechanical thinning, the USA has been unable to scale up mitigation. Limited agency capacity, inability to work…
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
Anderson, Prosser
The intensity and frequency of forest fires is increasing across the globe due to climate change. Additives are often added to make water more effective at extinguishing fire and preventing re-ignition. This study investigated the toxicity of nine different firefighting water…
Year: 2023
Type: Document
Source: FRAMES
Yang, Melachrinoudis, Kubat, Smith
Background: When fighting high-intensity wildfire, firefighters may construct a defensive fireline (fuel break) away from the raging front. The path of the fireline is the key to successful fire containment. However, the study of fireline path optimisation in the literature is…
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
Raoelison, Valenca, Lee, Karim, Webster, Poulin, Mohanty
Surface runoff mobilizes the burned residues and ashes produced during wildfires and deposits them in surface waters, thereby deteriorating water quality. A lack of a consistent reporting protocol precludes a quantitative understanding of how and to what extent wildfire may…
Year: 2023
Type: Document
Source: FRAMES
Santo, Huber-Stearns, Smith
This review paper synthesizes peer-reviewed empirical research published between 2010 and 2021 about wildland fire communication practices. Our goal was to systematically review and provide an overview of how wildland fire communication has been empirically studied, and…
Year: 2022
Type: Document
Source: FRAMES
Niyatiwatchanchai, Pothirat, Chaiwong, Liwsrisakun, Phetsuk, Duangjit, Choomuang
We aim to assess small airway dysfunction, spirometry, health-related quality of life (HR-QoL), and inflammatory biomarkers between the wildland firefighters and healthy controls. Lung function including impulse oscillometry (IOS) and spirometry, HR-QoL measured by the 36-Item…
Year: 2023
Type: Document
Source: FRAMES
Borz, Proto, Keefe, Niţă
The use of electronics, close-range sensing and artificial intelligence has changed the management paradigm in many of the current industries in which big data analytics by automated processes has become the backbone of decision making and improvement. Acknowledging the…
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
Tzoumas, Pitonakova, Salinas, Scales, Richardson
Wildfires affect countries worldwide as global warming increases the probability of their appearance. Monitoring vast areas of forests can be challenging due to the lack of resources and information. Additionally, early detection of wildfires can be beneficial for their…
Year: 2023
Type: Document
Source: FRAMES
Flores, Haire
In 2016, the US Forest Service initiated small-group safety discussions among members of its wildland firefighting organisation. Known as the Life First National Engagement Sessions, the discussions presented an opportunity for wildland firefighters to address systemic and…
Year: 2022
Type: Document
Source: FRAMES
Sadatrazavi, Motlagh, Noorpoor, Ehsani
Wildfires inflict damage on the ecology, economy and human lives globally, which is why they are studied as natural hazards. Policymakers can use fire prediction models to prioritize forest management and threats. In this study, an artificial neural network model is developed…
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
Mistick, Dennison, Campbell, Thompson
Wildland firefighters must be able to maintain situational awareness to ensure their safety. Crew members, including lookouts and crew building handlines, rely on visibility to assess risk and communicate changing conditions. Geographic information systems and remote sensing…
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
Lever, Arcucci
The intensity of wildfires and wildfire season length is increasing due to climate change, causing a greater threat to the local population. Much of this population are increasingly adopting social media, and sites like Twitter are increasingly being used as a real-time human-…
Year: 2022
Type: Document
Source: FRAMES
The 3rd "International Conference on Fire Behavior and Risk" (ICFBR2022) took place in Alghero from May 3-6, 2022. ICBR2022 aims to involve scientists, researchers and policy makers whose activities are focused on different aspects of fires and their impact on ecosystems and…
Type: Project
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
Taylor, Roald
As wildfires in the United States are becoming more frequent and severe, mitigating the risk of wildfire ignitions from power line faults is an increasingly crucial effort. Long-term ignition prevention strategies, especially converting overhead lines to underground cables, are…
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
Thompson
In this presentation, Dr. Thompson will explore themes of slack and scarcity and how they relate to multi-scale concepts of strategy, performance, and analytics in wildfire. While the description is short, this webinar contained a fascinating collection of concepts, statistics,…
Year: 2023
Type: Media
Source: FRAMES