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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

 

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From the text ... 'It should be clear to everyone concerned that weather conditions and the availability of fuel largely control the behavior of fires. Since projections of actual fire growth depend on weather forecasts, and the weather beyond...

Person: Rothermel
Year: 2000
Resource Group: Document
Source: TTRS

The USDA Forest Service stores fire occurrence data in a relational data base for planning, analysis, and other purposes. Weather observations are stored in the same data base for all five federal land management agencies and some state wildland...

Person: Vasievich, Fried, Leefers, Bunton
Year: 2000
Resource Group: Document
Source: TTRS

A comprehensive investigation of Canadian boreal forest fires was conducted using NOAA-AVHRR imagery. Algorithms were developed to (1) detect active forest fires, (2) map burned areas on daily and annual basis, and (3) estimate fire emissions based on...

Person: Neuenschwander, Ryan, Gollberg, Li, Jin, Fraser
Year: 2000
Resource Group: Document
Source: TTRS

We present results from ongoing research into 20th Century fire regimes in two large Rocky Mountain wilderness areas. Fire patterns are represented as digital fire atlases based on archival forest service data. We find that spatial and temporal fire...

Person: Neuenschwander, Ryan, Gollberg, Rollins, Swetnam, Morgan
Year: 2000
Resource Group: Document
Source: TTRS

Fuel input layers for the FARSITE fire growth model were created for all lands in and around the Gila National Forest, New Mexico, using satellite imagery, terrain modeling, and biophysical simulation. FARSITE is a spatially explicit fire growth model...

Person: Neuenschwander, Ryan, Gollberg, Keane, Mincemoyer, Schmidt, Garner
Year: 2000
Resource Group: Document
Source: TTRS

Researchers have been using models to predict and study wildfire behavior for approximately fifty years. These models range in complexity from simple algebraic models that may be implemented in graphical form or on hand-held calculators to complex...

Person: Neuenschwander, Ryan, Gollberg, Linn
Year: 2000
Resource Group: Document
Source: TTRS

From the Management Implications (p.139-140)... 'Our findings indicate that fuel treatments do mitigate fire severity. Treatments provide a window of opportunity for effective fire suppression and protecting high-value areas. Although topography...

Person: Neuenschwander, Ryan, Gollberg, Pollet, Omi
Year: 2000
Resource Group: Document
Source: TTRS

Smoke may present the most intractable barrier of all to implementing more enlightened fire management. The benefits of a prescribed fire program can only be realized if the public and regulatory agencies agree that the air quality impacts are...

Person: Neuenschwander, Ryan, Gollberg, Yokelson, Goode, Ward, Baker, Susott, Hao
Year: 2000
Resource Group: Document
Source: TTRS

A GIS-based method has been developed for mapping weather-dependent fire danger index under the Mission to Planet Earth Program. This method uses information provided by AVHRR and TOVS instruments installed in NOAA satellites. The radiometric NOAA fire...

Person: Neuenschwander, Ryan, Gollberg, Sukhinin, Cahoon, Stocks
Year: 2000
Resource Group: Document
Source: TTRS

[no description entered]

Person: Gorte
Year: 2000
Resource Group: Document
Source: TTRS