Alaska Reference Database

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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 41 - 50 of 13798

Learn about the science and data used to calculate and map wildfire risk nationwide in the new Wildfire Risk to Communities website. Hear from the project’s technical lead about the use of LANDFIRE and other input datasets, the methods for modeling and...

Person: Dillon, Fay
Year: 2020
Resource Group: Media
Source: FRAMES

Presented for Lesson 30 of the S-590 Advanced Fire Behavior Interpretation Course at the National Advanced Resource Technology Center in Marana, Arizona, 5-17 March 2006.

Lesson Objectives:

  • Gather a cursory understanding of the...
Person: Alexander
Year: 2006
Resource Group: Media
Source: FRAMES

Presented for Lesson 30 of the S-590 Advanced Fire Behavior Interpretation Course at the National Advanced Resource Technology Center in Marana, Arizona, 7-19 March 2004.

Lesson Objectives:

  • Gather a cursory understanding of the...
Person: Alexander
Year: 2004
Resource Group: Media
Source: FRAMES

See a demonstration of the new Wildfire Risk to Communities website, including use of the interactive maps, charts, and resources available for every community, county, and state in the U.S. Learn how the website and downloadable resources can help...

Person: Dillon, Fay, Pohl
Year: 2020
Resource Group: Media
Source: FRAMES

The prevalence of wildfire disasters across Canada over the past two decades such as occurred in Kelowna, BC in 2003 and Fort McMurray, AB in 2016 has prompted a continuing search for solutions to address the wildland-urban interface or intermix (WUI)...

Person: Alexander
Year: 2020
Resource Group: Media
Source: FRAMES

Presented for Lesson 31 of the S-590 Advanced Fire Behavior Interpretation Course at the National Advanced Resource Technology Center in Marana, Arizona, 10-22 March 2002.

Outline of Presentation:
I. CFFDRS Structure
II. Fire Weather...

Person: Alexander
Year: 2002
Resource Group: Media
Source: FRAMES

For more than a century in the US we have been suppressing fires, with unexpected and undesirable outcomes particularly in fire adapted and dependent ecosystems. Fires are increasing in size and duration, resulting in substantial loss of life and...

Person: Stratton
Year: 2020
Resource Group: Document
Source: FRAMES

An objective method, employing HYSPLIT back-trajectories and Moderate Resolution Imaging Spectroradiometer (MODIS) fire observations, is developed to estimate ozone enhancement in air transported from regions of active forest fires at 18 ozone sounding...

Person: Moeini, Tarasick, McElroy, Liu, Osman, Thompson, Parrington, Palmer, Johnson, Oltmans, Merrill
Year: 2020
Resource Group: Document
Source: FRAMES

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...

Person: Pan, Badawi, Cetin
Year: 2020
Resource Group: Document
Source: FRAMES

Accurate predictions of how weather may affect a wildfire’s behavior are needed to protect crews on the line and efficiently allocate firefighting resources. Since 1988, fire meteorologists have used a tool called the Haines Index to predict days when...

Person: Watts
Year: 2020
Resource Group: Document
Source: FRAMES