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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
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Topic
Year
Displaying 26 - 50 of 1802
Garbis, Cox, Orttung
Increasingly frequent wildfires are affecting residents in the wildland-urban interface in Interior Alaska. How might fire communicators convey risk and crisis information to meet growing concerns about wildfire impacts among a diverse audience of residents? This research draws…
Year: 2023
Type: Document
Source: FRAMES
McCaffrey, Rappold, Hano, Navarro, Phillips, Prestemon, Vaidyanathan, Abt, Reid, Sacks
At a fundamental level, smoke from wildland fire is of scientific concern because of its potential adverse effects on human health and social well-being. Although many impacts (e.g., evacuations, property loss) occur primarily in proximity to the actual fire, smoke can end up…
Year: 2022
Type: Document
Source: FRAMES
La Puma
Inga La Puma, Fire Scientist & Technical Lead* discusses the nuanced role that LANDFIRE plays as it provides foundational data for multiple tools within the natural resource community.
0:00 Intro
0:58 What's LANDFIRE?
1:29 LANDFIRE Milestones
2:36 Interrelationship between…
Year: 2022
Type: Media
Source: FRAMES
The Forest Inventory and Analysis (FIA) program of the Forest Service, an Agency of the U.S. Department of Agriculture, provides what is arguably the most valuable forest resource dataset in the United States. These data are the basis for numerous inquiries across a wide range…
Year: 2022
Type: Document
Source: FRAMES
Ferner
The growing frequency of wildland fire events across the globe is creating an ever-increasing strain on communities and the resources which are necessary to manage those events, whether planned or unplanned. ArcGIS can improve situational awareness from the moment of the…
Year: 2022
Type: Document
Source: FRAMES
Ding, Wang, Fu, Zhang, Wang
Satellite remote sensing plays an important role in wildfire detection. Methods using the brightness and temperature difference of remote sensing images to determine if a wildfire has occurred are one of the main research directions of forest fire monitoring. However, common…
Year: 2023
Type: Document
Source: FRAMES
The SCIENCEx webinar series brings together scientists and land management experts from across U.S. Forest Service research stations and beyond to explore the latest science and best practices for addressing large natural resource challenges across the country. These webinars…
Year: 2023
Type: Media
Source: FRAMES
Wu, Li, Li, Zhang, Liu, Zhao, Shen, Hao, Zhang
Fire, as a strong disturbance type, can exert significant impacts on the biosphere, hydrosphere, geosphere, cryosphere, atmosphere and human society. It can inherently trigger both critical transitions in ecosystems and dramatic changes in land cover. However, the general…
Year: 2023
Type: Document
Source: FRAMES
Panda, Badola, Smith
About this course
Wildfires are a natural and essential part of our ecosystem, recycling soil nutrients and renewing healthy forests. In Alaska, around one million acres (4000 km2) burn every year, and record years have seen as many as six million acres burned. Most of these…
Year: 2023
Type: Course
Source: FRAMES
Jandt, Grabinski
The 2nd Alaska Fire Science Consortium (AFSC) Research-to-Operations (R2O) workshop convened May 12-13 at the University of Alaska Murie Building.The 1.5-day workshop was held following NASA ABoVE’s 8th Annual Science Team Meeting as an opportunity for researchers and managers…
Year: 2023
Type: Document
Source: FRAMES
Stahl, Andrus, Hicke, Hudak, Bright, Meddens
Remote sensing is widely used to detect forest disturbances (e.g., wildfires, harvest, or outbreaks of pathogens or insects) over spatiotemporal scales that are infeasible to capture with field surveys. To understand forest ecosystem dynamics and the ecological role of human and…
Year: 2023
Type: Document
Source: FRAMES
Nowell, Steelman
A growing body of work has been focusing on how to govern and manage across jurisdictionally fragmented landscapes in an effort to promote more effective wildfire preparedness and response. We contribute to this worthy goal in the following five ways through the research…
Year: 2021
Type: Document
Source: FRAMES
Bourgeau-Chavez, Graham, Vander Bilt, Battaglia
Climate warming and changing fire regimes in the North American boreal zone have the capacity to alter the hydrology and ecology of the landscape with long term consequences to peatland ecosystems and their traditional role as carbon sinks. It is important to understand how…
Year: 2022
Type: Document
Source: FRAMES
Deval, Brooks, Dobre, Lew, Robichaud, Fowler, Boll, Easton, Collick
Effective watershed management and protection of water resources from non-point source pollution require identification, prioritization, and targeting of pollutant source areas. Process-based hydrology and water quality models are powerful heuristic tools for land and water…
Year: 2022
Type: Document
Source: FRAMES
Warneke, Schwarz, Dibb, Kalashnikova, Frost, Al-Saadi, Brown, Brewer, Soja, Seidel, Washenfelder, Wiggins, Moore, Anderson, Jordan, Yacovitch, Herndon, Liu, Kuwayama, Jaffe, Johnston, Selimovic, Yokelson, Giles, Holben, Goloub, Popovici, Trainer, Kumar, Pierce, Fahey, Roberts, Gargulinski, Peterson, Ye, Thapa, Saide, Fite, Holmes, Wang, Coggon, Decker, Stockwell, Xu, Gkatzelis, Aikin, Lefer, Kaspari, Griffin, Zeng, Weber, Hastings, Chai, Wolfe, Hanisco, Liao, Campuzano-Jost, Guo, Jimenez, Crawford
The NOAA/NASA FIREX-AQ (Fire Influence on Regional to Global Environments and Air Quality) experiment was a multi-agency, inter-disciplinary research effort to: (1) obtain detailed measurements of trace gas and aerosol emissions from wildfires and prescribed fires using aircraft…
Year: 2023
Type: Document
Source: FRAMES
Crowley, Stockdale, Johnston, Wulder, Liu, McCarty, Rieb, Cardille, White
Fire seasons have become increasingly variable and extreme due to changing climatological, ecological, and social conditions. Earth observation data are critical for monitoring fires and their impacts. Herein, we present a whole-system framework for identifying and synthesizing…
Year: 2023
Type: Document
Source: FRAMES
Reddy, Sarika
We identified hot spots trends in global vegetation fires based on 10-year long MODIS fire products. Additionally, we analyzed the occurrence of fire hot spots across climate zones, global land cover and global biodiversity hot spots. Fire hot spot zones were delineated by…
Year: 2022
Type: Document
Source: FRAMES
Engström, Abbaszadeh, Keellings, Deb, Moradkhani
This study seeks to use machine learning to investigate the role of meteorological and climate variables on wildfire occurrence in the Arctic and the global tropical forests biomes. Using monthly fire counts observed by the MODIS satellites in combination with temperature and…
Year: 2022
Type: Document
Source: FRAMES
Badola, Panda, Roberts, Waigl, Jandt, Bhatt
Detailed vegetation maps are one of the primary inputs for forest and wildfire management. Hyperspectral remote sensing is a proven technique for detailed and accurate vegetation mapping. However, the availability of recent hyperspectral imagery in Alaska is limited because of…
Year: 2022
Type: Document
Source: FRAMES
Multi-UAV planning for cooperative wildfire coverage and tracking with quality-of-service guarantees
In recent years, teams of robot and Unmanned Aerial Vehicles (UAVs) have been commissioned by researchers to enable accurate, online wildfire coverage and tracking. While the majority of prior work focuses on the coordination and control of such multi-robot systems, to date,…
Year: 2022
Type: Document
Source: FRAMES
Shiraishi, Hirata, Hirano
Recently, the effect of large-scale fires on the global environment has attracted attention. Satellite observation data are used for global estimation of fire CO2 emissions, and available data sources are increasing. Although several CO2 emission inventories have already been…
Year: 2021
Type: Document
Source: FRAMES
Moritz, Hazard, Johnston, Mayes, Mowery, Oran, Parkinson, Schmidt, Wesolowski
There are thousands of communities and millions of homes in fire-prone wildland–urban interface (WUI) environments. Although future developments may be sited and designed to be more survivable and resistant to losses, an over-arching strategy is needed for those that are already…
Year: 2022
Type: Document
Source: FRAMES
Vaillant
This seminar is part of the USFS Missoula Fire Lab Seminar Series.
The Interagency Fuels Treatment Decision Support System (IFTDSS) is a web-based application designed to make fuels treatment planning and analysis more efficient and effective. IFTDSS provides access to data and…
Year: 2020
Type: Media
Source: FRAMES
Belenguer-Plomer, Tanase, Chuvieco, Bovolo
In this paper, we present an in-depth analysis of the use of convolutional neural networks (CNN), a deep learning method widely applied in remote sensing-based studies in recent years, for burned area (BA) mapping combining radar and optical datasets acquired by Sentinel-1 and…
Year: 2021
Type: Document
Source: FRAMES
Nakata, Sano, Mukai, Kokhanovsky
The severity of wildfires is increasing globally. In this study, we used data from the Global Change Observation Mission-Climate/Second-generation Global Imager (GCOM-C/SGLI) to characterize the biomass burning aerosols that are generated by large-scale wildfires. We used data…
Year: 2022
Type: Document
Source: FRAMES