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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 - 9 of 9
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
Lin, Zhang, Huang, Gollner
Background: Wildfires represent a significant threat to peatlands globally, but whether peat fires can be initiated by a lofted firebrand is still unknown.Aims: We investigated the ignition threshold of peat fires by a glowing firebrand through laboratory-scale experiments.…
Year: 2024
Type: Document
Source: FRAMES
Desponts, Payette
The northernmost jack pine populations in northern Quebec are located at the boreal forest - forest tundra boundary, along the Grande riviere de la Baleine, where they colonize the sandy terraces affected by recurrent fires. The reent fire history in the study area, are deduced…
Year: 1992
Type: Document
Source: TTRS
Loftsgaarden, Andrews
Logistic regression was used in examining the relationship between National Fire Danger Rating System (NFDRS) indexes and historical fire occurrence data. Basic techniques of constructing and testing logistic regression models are presented at a modest mathematical level. The…
Year: 1992
Type: Document
Source: FRAMES
Janna, Hannu
'Fires are natural in boreal coniferous forest ecosystems, occuring every 100-200 years. Burning of the humus and forest vegetation (mainly spruce and understory) raises the pH of the humus of the podzolic soil and leads to new succession of the forest plant community. The…
Year: 1992
Type: Document
Source: TTRS