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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 54
Isaac, Toukhsati, Klein, Di Benedetto, Kennedy
Objective
This study aimed to establish the prevalence and to identify predictors of insomnia, nightmares and post-traumatic stress disorder (PTSD) in wildfire survivors.
Method
A total of 126 (23 males, 102 females, and 1 nonbinary individual, Mage = 52 years, SD = 14.4)…
Year: 2023
Type: Document
Source: FRAMES
Zheng, Duan, Dong, Liu
Aim: Fires are a serious threat to people’s lives and property. Detecting fires quickly and effectively and extinguishing them in the nascent stage is an effective way to reduce fire hazards. Currently, deep learning-based fire detection algorithms are usually deployed on the PC…
Year: 2023
Type: Document
Source: FRAMES
James, Ansaf, Al Samahi, Parker, Cutler, Gachette, Ansaf
Wildfire risk has globally increased during the past few years due to several factors. An efficient and fast response to wildfires is extremely important to reduce the damaging effect on humans and wildlife. This work introduces a methodology for designing an efficient machine…
Year: 2023
Type: Document
Source: FRAMES
Xu, Wooster
The Sea and Land Surface Temperature Radiometer (SLSTR) senses the Earth from onboard two concurrently operating European Copernicus Sentinel-3 (S3) satellites. As the Terra platform carrying the Moderate Resolution Imaging Spectroradiometer (MODIS) is reaching its end of life,…
Year: 2023
Type: Document
Source: FRAMES
Miller, Jones, Baughman, Jandt, Jenkins, Yokel
Few fires are known to have burned the tundra of the Arctic Slope north of the Brooks Range in Alaska, USA. A total of 90 fires between 1969 and 2022 are known. Because fire has been rare, old burns can be detected by the traces of thermokarst and distinct vegetation they leave…
Year: 2023
Type: Document
Source: FRAMES
Elhami-Khorasani, Kinateder, Lemiale, Manzello, Marom, Marquez, Suzuki, Theodori, Wang, Wong
Large outdoor fires such as wildfires, wildland urban interface (WUI) fires, urban fires, and informal settlement fires have received increased attention in recent years. In order to develop effective emergency plans to protect people from threats associated with these events,…
Year: 2023
Type: Document
Source: FRAMES
Erazo-Mora, Montalván-Burbano, Aburto, Matus-Baeza, Jofré-Fernández, Durán-Cuevas, Dörner, Dippold, Merino-Guzmán
As wildfires have increased and become more frequent in recent years, researchers area focusing on how wildfires affect ecosystem resilience, which has serious implications for the recovery and protection of native forests and plantations. Most physicochemical and biological…
Year: 2023
Type: Document
Source: FRAMES
Kaur, Kaur, Singh, Kim
Wireless sensor networks (WSNs) have proven to be incredibly useful for forest applications that rely on sensing technologies for event detection and monitoring. This radical sensing technology has revolutionized data gathering, analysis, and application. Despite the many…
Year: 2023
Type: Document
Source: FRAMES
Rjoub, Alsharoa, Masadeh
Numerous hectares of land are destroyed by wildfires every year, causing harm to the environment, the economy, and the ecology. More than fifty million acres have burned in several states as a result of recent forest fires in the Western United States and Australia. According to…
Year: 2023
Type: Document
Source: FRAMES
The SCIENCEx webinar series brings together scientists and land management experts from across U.S. Forest Service research stations and beyond to explore the latest science and best practices for addressing large natural resource challenges across the country. These webinars…
Year: 2023
Type: Media
Source: FRAMES
Panda, Badola, Smith
About this course
Wildfires are a natural and essential part of our ecosystem, recycling soil nutrients and renewing healthy forests. In Alaska, around one million acres (4000 km2) burn every year, and record years have seen as many as six million acres burned. Most of these…
Year: 2023
Type: Course
Source: FRAMES
Stahl, Andrus, Hicke, Hudak, Bright, Meddens
Remote sensing is widely used to detect forest disturbances (e.g., wildfires, harvest, or outbreaks of pathogens or insects) over spatiotemporal scales that are infeasible to capture with field surveys. To understand forest ecosystem dynamics and the ecological role of human and…
Year: 2023
Type: Document
Source: FRAMES
Ott, Kilkenny, Jain
Background: The risk of destructive wildfire on fire-prone landscapes with excessive fuel buildup has prompted the use of fuel reduction treatments to protect valued resources from wildfire damage. The question of how to maximize the effectiveness of fuel reduction treatments at…
Year: 2023
Type: Document
Source: FRAMES
Sathishkumar, Cho, Subramanian, Naren
Background: Forests are an essential natural resource to humankind, providing a myriad of direct and indirect benefits. Natural disasters like forest fires have a major impact on global warming and the continued existence of life on Earth. Automatic identification of forest…
Year: 2023
Type: Document
Source: FRAMES
Xu, Lovreglio, Kuligowski, Cova, Nilsson, Zhao
To develop effective wildfire evacuation plans, it is crucial to study evacuation decision-making and identify the factors affecting individuals’ choices. Statistic models (e.g., logistic regression) are widely used in the literature to predict household evacuation decisions,…
Year: 2023
Type: Document
Source: FRAMES
Chatzopoulos-Vouzoglanis, Reinke, Soto-Berelov, Jones
Geostationary and polar-orbiting remote sensors have different opportunities to observe wildfires. While polar-orbiting sensors have been favoured in wildfire observations, geostationary sensors offer a higher observation frequency. Here, we assess the utility of the Himawari-8…
Year: 2023
Type: Document
Source: FRAMES
Khan
Wildfires kill and injure people, destroy residences, pollute the air, and cause economic loss. In this paper, a low-power Internet of Things (IoT)-based sensor network is developed, which automatically detects fires in forests and sends the location to a central monitoring…
Year: 2023
Type: Document
Source: FRAMES
Makowski
In order to formulate effective fire-mitigation policies, it is important to understand the spatial and temporal distribution of different types of wildfires and to be able to predict their occurrence taking the main influencing factors into account. The objective of this short…
Year: 2023
Type: Document
Source: FRAMES
Crowley, Stockdale, Johnston, Wulder, Liu, McCarty, Rieb, Cardille, White
Fire seasons have become increasingly variable and extreme due to changing climatological, ecological, and social conditions. Earth observation data are critical for monitoring fires and their impacts. Herein, we present a whole-system framework for identifying and synthesizing…
Year: 2023
Type: Document
Source: FRAMES
Bastit, Brunette, Montagné-Huck
Natural disturbances are paramount in the development of ecosystems but may jeopardise the provision of forest ecosystem services. Climate change exacerbates this threat and favours interactions between disturbances. Our objective was thus to capture this dimension of multiple…
Year: 2023
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
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