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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
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Displaying 151 - 175 of 5366
A Resource from the Western Regional Air Partnership's (WRAP) Fire Emissions Joint Forum (FEJF)In December 2002 the FEJF issued a request for proposal for a bibliography and summary table on Emission Reduction Techniques for agricultural burning and wildland fire in support of…
Year: 2004
Type: Document
Source: FRAMES
Beck, Simpson
The 2003 fire season in British Columbia, Canada was one of the worst in recent history. Fire in the wildland-urban interface destroyed over 334 homes and many businesses, and forced the evacuation of over 45,000 people. Drought cycles and forest health decline have contributed…
Year: 2007
Type: Document
Source: FRAMES
El-Madafri, Peña, Olmedo-Torre
This study introduces a novel hierarchical domain-adaptive learning framework designed to enhance wildfire detection capabilities, addressing the limitations inherent in traditional convolutional neural networks across varied forest environments. The framework innovatively…
Year: 2024
Type: Document
Source: FRAMES
Song, Xu, Li, Oppong
Wildfire causes environmental, economic, and human problems or losses. This study reviewed wildfires induced by lightning strikes. This review focuses on the investigations of lightning mechanisms in the laboratory. Also, the paper aims to discuss some of the modeling studies on…
Year: 2024
Type: Document
Source: FRAMES
Campbell-Lochrie, Gallagher, Skowronski, Hadden
Background: Fifty years after its initial publication, Rothermel’s model continues to underpin many operational fire modelling tools. Past authors have, however, suggested a possible oversensitivity of the Rothermel model to fuel depth in certain fuel types.
Aims: To evaluate…
Year: 2024
Type: Document
Source: FRAMES
Zhang, Wang, Yang, Liu
Global climate change and extreme weather has a profound impact on wildfire, and it is of great importance to explore wildfire patterns in the context of global climate change for wildfire prevention and management. In this paper, a wildfire spatial prediction model based on…
Year: 2024
Type: Document
Source: FRAMES
Xu, Li, Zhang, Liu, Zhang
In the context of large-scale fire areas and complex forest environments, the task of identifying the subtle features and aspects of fire can pose a significant challenge for the deep learning model. As a result, to enhance the model’s ability to represent features and its…
Year: 2024
Type: Document
Source: FRAMES
Li, Tang, Li, Dou, Li
Background: Extreme wildfires pose a serious threat to forest vegetation and human life because they spread more rapidly and are more intense than conventional wildfires. Detecting extreme wildfires is challenging due to their visual similarities to traditional fires, and…
Year: 2024
Type: Document
Source: FRAMES
Phillips, Rogers, Elder, Cooperdock, Moubarak, Randerson, Frumhoff
Wildfires in boreal forests release large quantities of greenhouse gases to the atmosphere, exacerbating climate change. Here, we characterize the magnitude of recent and projected gross and net boreal North American wildfire carbon dioxide emissions, evaluate fire management as…
Year: 2022
Type: Document
Source: FRAMES
Rossa, Davim, Sil, Fernandes
Background: Fireline intensity (If) quantifies the power of the fireline and is used for various purposes. If and flame length (Lf) are relatable to each other using an empirical power function, which has been considered fuel-specific.
Aims: The aim of this study was to develop…
Year: 2024
Type: Document
Source: FRAMES
Badola
Wildfires are a natural and essential part of Alaska ecosystems, but excessive wildfires pose a risk to the ecosystem's health and diversity, as well as to human life and property. To manage wildfires effectively, vegetation/fuel maps play a critical role in identifying high-…
Year: 2023
Type: Document
Source: FRAMES
Zhu, Xu, Jia
Wildfire is recognized as an increasing threat to the southern boreal forests and the permafrost beneath them, with less occurring over the cold continuous permafrost than before. However, we show that continuous permafrost was a major contribution to wildfire expansion in the…
Year: 2023
Type: Document
Source: FRAMES
Yoseph, Hoy, Elder, Ludwig, Thompson, Miller
Rapid warming in Arctic tundra may lead to drier soils in summer and greater lightning ignition rates, likely culminating in enhanced wildfire risk. Increased wildfire frequency and intensity leads to greater conversion of permafrost carbon to greenhouse gas emissions. Here, we…
Year: 2023
Type: Document
Source: FRAMES
Schmidt, See
Advancing Wildfire Preparedness and Planning takes an in-depth look at the dynamic factors that are impacting wildfire occurrence for the most populated geographic area in the 49th State of Alaska, the Municipality of Anchorage (MOA). The length and severity of recent fire…
Year: 2023
Type: Document
Source: FRAMES
Andrada, Russell, Arevalo-Ramirez, Kuang, Kantor, Yandun
This paper presents a comprehensive forest mapping system using a customized drone payload equipped with Light Detection and Ranging (LiDAR), cameras, a Global Navigation Satellite System (GNSS), and Inertial Measurement Unit (IMU) sensors. The goal is to develop an efficient…
Year: 2023
Type: Document
Source: FRAMES
Loeffler, Brandt, Morgan, Jones
This annotated bibliography is a synthesis of information products available to land managers in the western United States regarding economic and financial aspects of forestry-based woody biomass removal, a component of fire hazard and/or fuel reduction treatments. This…
Year: 2010
Type: Document
Source: FRAMES
Alizadeha, Adamowski, Entekhabi
Land surface-atmosphere coupling and soil moisture memory are shown to combine into a distinct temporal pattern for wildfire incidents across the western United States. We investigate the dynamic interplay of observed soil moisture, vegetation water content, and atmospheric…
Year: 2024
Type: Document
Source: FRAMES
Crawford, Feldpausch, Marimon-Junior, de Oliveira, Belcher
Background: Charcoal increases in reflectance with increased intensity and/or duration of heating, and this has been proposed as a potential quantitative metric for fire severity. Because fuel properties also influence reflectance, relationships between heat exposure and…
Year: 2023
Type: Document
Source: FRAMES
Nim, Morris, Tekasakul, Dejchanchaiwong
Peatland fires are one of the major global sources of atmospheric particles. Emission factors for fine (PM1 and PM2.5) and ultrafine (PM0.1) particles and particle-bound polycyclic aromatic hydrocarbons (PAHs) from plants in the peat swamp forest (PSF), including Melaleuca…
Year: 2023
Type: Document
Source: FRAMES
Lee, Jung, Suhr
In recent years, there has been a significant increase in the demand for unmanned aerial vehicle (UAV)-based monitoring systems to ensure proper emergency response during natural disasters such as wildfires, hurricanes, floods, and earthquakes. This paper proposes a real-time…
Year: 2023
Type: Document
Source: FRAMES
Hawkins, Picardi, Donnell, Ireland
Wildfires are a common problem in many areas of the world with often catastrophic consequences. A number of systems have been created to provide early warnings of wildfires, including those that use satellite data to detect fires. The increased availability of small satellites,…
Year: 2023
Type: Document
Source: FRAMES
Zema, Parhizkar, Plaza-Álvarez, Xu, Lucas-Borja
Prescribed fire is a viable practice to reduce the wildfire risk in forests, but its application may lead to increased surface runoff and soil erosion. Several hydrological and erosive models have been proposed and evaluated to predict the changes in soil hydrology and erosion…
Year: 2023
Type: Document
Source: FRAMES
Agrawal, Nelson, Low
Large wildfires (>125 hectares) in the United States account for over 95% of the burned area each year. Predicting large wildfires is imperative; however, current wildfire predictive models are region-based and computationally intensive. Using a scalable model based on easily…
Year: 2023
Type: Document
Source: FRAMES
Battistoni, Cantone, Martino, Passamano, Romano, Sebillo, Vitiello
The increasing frequency and severity of forest fires necessitate early detection and rapid response to mitigate their impact. This project aims to design a cyber-physical system for early detection and rapid response to forest fires using advanced technologies. The system…
Year: 2023
Type: Document
Source: FRAMES
Saydirasulovich, Mukhiddinov, Djuraev, Abdusalomov, Cho
Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing fires. Nevertheless, succeeding techniques for detecting forest fire smoke encounter…
Year: 2023
Type: Document
Source: FRAMES