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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 176 - 200 of 4865
Yi, Chen, Moghaddam, Kimball, Jones, Jandt, Miller, Miller
We used full-polarimetric L-band and P-band synthetic aperture radar (SAR) data collected from the recent NASA Arctic Boreal Vulnerability Experiment (ABoVE) airborne campaign and Sentinel-1 C-band dual-polarization data to understand the sensitivity of radar backscatter…
Year: 2022
Type: Document
Source: FRAMES
Hansen, Fitzsimmons, Olnes, Williams
Climate change and natural disturbances are catalysing forest transitions to different vegetation types, but whether these new communities are resilient alternate states that will persist for decades to centuries is not known. Here, we test how changing climate, disturbance and…
Year: 2021
Type: Document
Source: FRAMES
Demange, Di Fonso, Di Stefano, Vittorini
In the last decade, wildfires have become wider and more destructive. Climate change and the growth of urban areas are among the main factors that increase the risk of large-scale fires. This risk can be lowered with preventive measures. Among them, firefighting lines are used…
Year: 2022
Type: Document
Source: FRAMES
Arab, Khodaei, Eskandarpour, Thompson, Wei
Wildfires pose a significant challenge to the natural and the built environments, as well as the safety and economic wellbeing of the communities residing in wildfire-prone areas. The electric power grid is specifically among the built environments most affected by, and…
Year: 2021
Type: Document
Source: FRAMES
Meddens
This presentation is part of the University of Idaho's College of Natural Resources, Natural Resources and Society Spring 2022 Invited Speaker Seminar Series.
Year: 2022
Type: Media
Source: FRAMES
Edalati-nejad, Ghodrat, Fanaee, Simeoni
This paper presents an investigation on the effect of fire intensity of a wind driven surface fire, similar to a large wildfire, on an idealized structure located downstream from the fire source. A numerical simulation was conducted using an open source CFD code called FireFOAM…
Year: 2022
Type: Document
Source: FRAMES
Bot, Borges
Wildfires threaten and kill people, destroy urban and rural property, degrade air quality, ravage forest ecosystems, and contribute to global warming. Wildfire management decision support models are thus important for avoiding or mitigating the effects of these events. In this…
Year: 2022
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
Badhan, Shamsaei, Ebrahimian, Bebis, Lareau, Rowell
The rising severity and frequency of wildfires in recent years in the United States have raised numerous concerns regarding the improvement in wildfire emergency response management and decision-making systems, which require operational high temporal and spatial resolution…
Year: 2024
Type: Document
Source: FRAMES
Arrogante-Funes, Aguado, Chuvieco
Background: Fire is a natural disturbance that significantly impacts ecosystems and plays a crucial role in the distribution and preservation of biota worldwide. The effects of fires on bird diversity can be both positive, as they can create new habitats, and negative, as they…
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
Purnomo, Christensen, Fernandez-Anez, Rein
Background: Smouldering peatland wildfires can last for months and create a positive feedback for climate change. These flameless, slow-burning fires spread horizontally and vertically and are strongly influenced by peat moisture content. Most models neglect the non-uniform…
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
Ahmed, Trouve, Forthofer, Finney
Our objective in the present study is to provide basic insights into the coupling between external-gas and solid biomass vegetation processes that control the dynamics of flame spread in wildland fire problems. We focus on a modeling approach that resolves processes occurring at…
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
Borrelli, Baldi, Berndt, Bertoncini, Bianchi, Bischof, Gallego, Carlà, Coppo, Corti, Corti, Corti, Cox, Dauderstädt, Dürr, Franci, González, Gonnelli, Guerri, Guzzi
Earth observation (EO) payload performances in the infrared spectral region from geostationary platforms are often limited by spatial resolution. In this paper, we investigate an instrumental concept leveraging a compressive sensing paradigm and super-resolution architecture to…
Year: 2023
Type: Document
Source: FRAMES
Volkova, Fernández
Fire is an important component of many forest ecosystems, yet climate change is now modifying fire regimes all over the world, driving a need to understand the impact of fires on the physical and biological processes. In 2022, Elsevier launched a Special Collection that spanned…
Year: 2024
Type: Document
Source: FRAMES
Shinohara
Fire whirls cause strong wind damage in large outdoor fires such as wildland fires and urban fires. A model to predict the maximum tangential wind velocity in laboratory-scale fire whirls without flames in a crosswind is developed based on a generation mechanism and the…
Year: 2024
Type: Document
Source: FRAMES
Qayyum, Jamil, Alsboui, Hijjawi
Background: Understanding the intricacies of wildfire impact across diverse geographical landscapes necessitates a nuanced comprehension of fire dynamics and areas of vulnerability, particularly in regions prone to high wildfire risks. Machine learning (ML) stands as a…
Year: 2024
Type: Document
Source: FRAMES
Qayyum, Samee, Alabdulhafith, Aziz, Hijjawi
Background: Predicting wildfire progression is vital for countering its detrimental effects. While numerous studies over the years have delved into forecasting various elements of wildfires, many of these complex models are perceived as “black boxes”, making it challenging to…
Year: 2024
Type: Document
Source: FRAMES
Beyki, Santiago, Laím, Craveiro
Wildfires have become a common incident over the past decades, and they have been threatening people’s lives and assets. In the communities close to wildlands or wildland-urban interfaces (WUI), these threats become increasingly serious, and in case of wildfires, people are…
Year: 2023
Type: Document
Source: FRAMES
Masa, Kintzios, Vasileiou, Meditskos, Vrochidis, Kompatsiaris
Forest fires can have devastating effects on the environment, communities, individuals, economy, and climate change in many countries. During a forest fire crisis, massive amounts of data, such as weather patterns and soil conditions, become available. Efficient management,…
Year: 2023
Type: Document
Source: FRAMES