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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 2498
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
Finney
FlamMap is a fire analysis desktop application that runs in a 64-bit Windows Operating System environment. It can simulate potential fire behavior characteristics (spread rate, flame length, fireline intensity, etc.), fire growth and spread and conditional burn probabilities…
Year: 2022
Type: Tool
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
Allen, Wang
When tropical cyclones in the western North Pacific transition into midlatitude cyclones, it often perturbs the jet stream, resulting in amplified flow conditions in the north Pacific and various weather extremes in North America. Thus far, however, the climatological impacts of…
Year: 2023
Type: Document
Source: FRAMES
Alexander
Grassfires in Canada’s western prairies have been observed to propagate over multi-hour periods with sustained rates of spread in excess of 6.0 km/h. For example, on December 14, 1997, a human-caused grassfire starting west of Claresholm in southern Alberta advanced eastward…
Year: 2022
Type: Media
Source: FRAMES
Billmire, Vander Bilt
This webinar is part of the ABoVE Northwest Territories-focus webinar series.
Year: 2022
Type: Media
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
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
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
Bui, Timmermann, Lee, Maloney, Li, Kim, Shuman, Lee, Wieder
Midlatitude stationary waves are relatively persistent large-scale longitudinal variations in atmospheric circulation. Although recent case studies have suggested a close connection between stationary waves and extreme weather events, little is known about the global-scale…
Year: 2022
Type: Document
Source: FRAMES
Egorova, Pagnini
Several cross-sectional studies recognize that conductive climatic conditions, including grave weather conditions favorable for ignition, larger burned areas, increasing fuel load and longer fire season, can lead to extreme events and enable fires to spread faster. Thus, the…
Year: 2022
Type: Document
Source: FRAMES
Di Giuseppe
In 2021, the availability of a physical model for lightning density prediction at ECMWF led the development of data driven models to identify episodes conducive of fires. The machine-learning classifiers worked remarkably well reaching an overall accuracy up to 78%. Still,…
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
Grillakis, Voulgarakis, Rovithakis, Seiradakis, Koutroulis, Field, Kasoar, Papadopoulos, Lazaridis
Wildfire is an integral part of the Earth system, but at the same time it can pose serious threats to human society and to certain types of terrestrial ecosystems. Meteorological conditions are a key driver of wildfire activity and extent, which led to the emergence of the use…
Year: 2022
Type: Document
Source: FRAMES
Liu, Eden, Dieppois, Blackett
In many parts of the world, wildfires have become more frequent and intense in recent decades, raising concerns about the extent to which climate change contributes to the nature of extreme fire weather occurrences. However, studies seeking to attribute fire weather extremes to…
Year: 2022
Type: Document
Source: FRAMES
Justino, Bromwich, Schumacher, Silva, Wang
Based on statistical analyses and Arctic Oscillation (AO) and the Pacific-North American pattern (PNA) induced climate anomalies in the 2001–2020 interval, it has been found that these climate modes drastically influence the fire danger (PFIv2) in differing ways across coastal…
Year: 2022
Type: Document
Source: FRAMES
Sharples
The influence of meteorological conditions on wildfire behaviour and propagation has been recognised through the development of a variety of fire weather indices, which combine information on air temperature, atmospheric moisture and wind, amongst other factors. These indices…
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