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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 - 6 of 6
Lindley, Ziel, Teske, Jolly, Law
The Fire Environment Continuing Education SubCommittee presents the 2020 Fall Fire Environment Post Season Lessons Learned Webinar
Topics will include:
Satellite-derived data
WildfireSAFE
Tips for Remote fire analysis assignments
Year: 2020
Type: Media
Source: FRAMES
The focus of the webinar will look at how remote technologies can inform and impact forest managers jobs. Information has always been at the heart of the forest; knowledge of stand age, tree species, fire and storm damage, pest and disease and logging costs have all been…
Year: 2020
Type: Media
Source: FRAMES
Jolly
The Wildfire SAFE app incorporates real-time data from sources that include the U.S. National Fire Danger Rating System, U.S. Drought Monitor drought conditions, weather data, and vegetation conditions to provide targeted information on any wildfire in the continental United…
Year: 2020
Type: Document
Source: FRAMES
Pang, Chen, An, Wang, Deng, Benard, Lajnef, Cao
Forest fires present a great threat as they can rapidly grow and become large, resulting in tragic loss of life and property when occurring near occupied land. Here a self‐powered fire alarm system based on a novel multilayered cylindrical triboelectric nanogenerator (MC‐TENG)…
Year: 2020
Type: Document
Source: FRAMES
Rapp, Rabung, Wilson, Toman
In the United States, many decision support tools exist to provide fire managers with weather and fire behaviour information to inform and facilitate risk-based decision-making. Relatively little is known about how managers use these tools in the field and when and how they may…
Year: 2020
Type: Document
Source: FRAMES
Pan, Badawi, Cetin
In this paper, we propose a deep convolutional neural network for camera based wildfire detection. We train the neural network via transfer learning and use window based analysis strategy to increase the fire detection rate. To achieve computational efficiency, we calculate…
Year: 2020
Type: Document
Source: FRAMES