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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

Displaying 151 - 175 of 2378

Xu, Wooster, He, Zhang
Geostationary imaging sensors offer unique high temporal resolution capabilities with which to characterise the fast-changing dynamics of landscape fires. The new R-Series of Geostationary Operational Environmental Satellite (GOES-R) are the most advanced geostationary weather…
Year: 2021
Type: Document
Source: FRAMES

Landis, Long, Krug, Colón, Vanderpool, Habel, Urbanski
Wildland fires can emit substantial amounts of air pollution that may pose a risk to those in proximity (e.g., first responders, nearby residents) as well as downwind populations. Quickly deploying air pollution measurement capabilities in response to incidents has been limited…
Year: 2021
Type: Document
Source: FRAMES

Noyes, Kahn, Limbacher, Li, Fenn, Giles, Hair, Katich, Moore, Robinson, Sanchez, Shingler, Thornhill, Wiggins, Winstead
Although the characteristics of biomass burning events and the ambient ecosystem determine emitted smoke composition, the conditions that modulate the partitioning of black carbon (BC) and brown carbon (BrC) formation are not well understood, nor are the spatial or temporal…
Year: 2020
Type: Document
Source: FRAMES

Cahoon, Stocks, Alexander, Baum, Goldammer
New satellite instruments are currently being designed specifically for fire detection, even though to date the detection of active fires from space has never been an integral part of the design of any in-orbit space mission. Rather, the space-based detection of fires during the…
Year: 2000
Type: Document
Source: FRAMES

Alkhatib
Context. Apart from causing tragic loss of lives and valuable natural and individual properties including thousands of hectares of forest and hundreds of houses, forest fires are a great menace to ecologically healthy grown forests and protection of the environment. Every year,…
Year: 2014
Type: Document
Source: FRAMES

Chowdhury, Hassan
Forest fire is a natural phenomenon in many ecosystems across the world. One of the most important components of forest fire management is the forecasting of fire danger conditions. Here, our aim was to critically analyse the following issues, (i) current operational forest fire…
Year: 2015
Type: Document
Source: FRAMES

Giglio, Descloitres, Justice, Kaufman
Experience with the first 2 years of high quality data from the Moderate Resolution Imaging Spectroradiometer (MODIS) through quality control and validation has suggested several improvements to the original MODIS active fire detection algorithm described by Kaufman, Justice et…
Year: 2003
Type: Document
Source: FRAMES

Ichoku
Wildfires and other types of biomass burning are a seasonal phenomenon in different land ecosystems around the world. Such fires are estimated to consume biomass containing a total of 2-5 petagrams of carbon globally every year, generating heat energy and emitting smoke plumes…
Year: 2020
Type: Media
Source: FRAMES

Miller
Excerpt: The fire history and fuels data certainly have implications for resource management and park planning in the Kananaskis Park. In the long run, we would like to let ecosystems run themselves, and that can mean allowing wildfires to burn in areas where they will be…
Type: Document
Source: FRAMES

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

Baughman, Loehman, Magness, Saperstein, Sherriff
Across Alaska’s Kenai Peninsula, disturbance events have removed large areas of forest over the last half century. Simultaneously, succession and landscape evolution have facilitated forest regrowth and expansion. Detecting forest loss within known pulse disturbance events is…
Year: 2020
Type: Document
Source: FRAMES

Pyne
Dr. Stephen Pyne, the world's foremost fire historian, discusses how we are living in a Fire Age of comparable scale to the Ice Ages of the Pleistocene, and whether our relationship with fire is a mutual assistance pact or a Faustian bargain. To read his responses to the…
Year: 2020
Type: Media
Source: FRAMES

Ciullo, Rossi, Pieri
In wildfire research, systems that are able to estimate the geometric characteristics of fire, in order to understand and model the behavior of this spreading and dangerous phenomenon, are required. Over the past decade, there has been a growing interest in the use of computer…
Year: 2020
Type: Document
Source: FRAMES

Pyne
Fire offers a special perspective by which to understand the Earth being remade by humans. Fire is integrative, so intrinsically interdisciplinary. Fire use is unique to humans, so a tracer of humanity's ecological impacts. Anthropogenic fire history shows the long influence of…
Year: 2020
Type: Document
Source: FRAMES

Healey, Yang, Cohen
he Landscape Change Monitoring System (LCMS) is a remote sensing-based system for mapping and monitoring landscape change across the United States. LCMS produces annual maps depicting change (vegetation loss and vegetation gain), land cover, and land use from 1985 to present…
Year: 2020
Type: Tool
Source: FRAMES

Healey
The Landscape Change Monitoring System (LCMS) is an important new dataset and tool that allows the user to create landscape scale historical disturbance maps. LCMS combines satellite imagery with other monitoring data to produce annual maps showing change (vegetation loss and…
Year: 2020
Type: Document
Source: FRAMES

Moreno-Ruiz, García-Lázaro, Arbelo, Cantón-Garbín
This paper presents an accuracy assessment of the main global scale Burned Area (BA) products, derived from daily images of the Moderate-Resolution Imaging Spectroradiometer (MODIS) Fire_CCI 5.1 and MCD64A1 C6, as well as the previous versions of both products (Fire_CCI 4.1 and…
Year: 2020
Type: Document
Source: FRAMES

Pettinari, Chuvieco
Biomass burning is one of the critical components of the Earth system, significantly affecting atmospheric emissions and carbon budgets. Fires occurring in the interface between wildland and urban areas also have important socioeconomic effects, affecting people’s lives and…
Year: 2020
Type: Document
Source: FRAMES

Strand, Hammond
Determining the age of natural conifer regeneration following wildfires is crucial to understanding ecological trajectories and predicting post-fire effects in conifer forests. However, traditional methods of determining seedling age via growth ring counts requires killing…
Year: 2019
Type: Document
Source: FRAMES

Russell
[no description entered]
Year: 1984
Type: Document
Source: TTRS

Stewart
From the text ... 'The historic records from around the world leave no room to doubt that primitive hunting and gathering peoples, as well as ancient farmers and herders, for a number of reasons, frequently and intentionally set fire to almost all the vegetation around them…
Year: 1963
Type: Document
Source: TTRS

Christy
[no description entered]
Year: 1987
Type: Document
Source: TTRS

Hawkes, Lawson
Fuel complexes resulting from power-saw spacing in young coastal Douglas-fir and interior lodgepole pine stands were quantitatively assessed for loading and duration of hazard. Fuel appraisal data were combined with fire weather regimes to derive fire behavior predictions for…
Year: 1980
Type: Document
Source: TTRS

Schullery
[no description entered]
Year: 1989
Type: Document
Source: TTRS

Wein
[no description entered]
Year: 1974
Type: Document
Source: TTRS