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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 - 25 of 80
Ghali, Akhloufi
Wildland fires are one of the most dangerous natural risks, causing significant economic damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts warn that the frequency and severity of wildfires will increase in the coming years due to climate…
Year: 2023
Type: Document
Source: FRAMES
Xu, Wooster
The Sea and Land Surface Temperature Radiometer (SLSTR) senses the Earth from onboard two concurrently operating European Copernicus Sentinel-3 (S3) satellites. As the Terra platform carrying the Moderate Resolution Imaging Spectroradiometer (MODIS) is reaching its end of life,…
Year: 2023
Type: Document
Source: FRAMES
Zhang, Mao, Ricciuto, Jin, Yu, Shi, Wullschleger, Tang, Liu
Contemporary fire dynamics is one of the most complex and least understood land surface phenomena. Global fire controls related to climate, vegetation, and anthropogenic activity are usually intertwined, and difficult to disentangle in a quantitative way. Here, we leveraged an…
Year: 2023
Type: Document
Source: FRAMES
Franz
The topic of “managed wildfire” is mired in complexity, starting with what to call it. This fire management approach has been known as “prescribed natural fire,” “wildland fire use,” “resource objective fire,” and more. All names refer to the same essential idea: leveraging…
Year: 2023
Type: Media
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
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
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
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
Estimates of temporal-spatial variability of wildfire danger across the Pan-Arctic and extra-tropics
Satellite-based hot-spot analysis for the Pan-Arctic, shows that Asia experiences a greater number of fires compared to North America and Europe. While hot spots are prevalent through the year in Asia, Europe (North America) exhibits marked annual (semi-annual) variability. The…
Year: 2021
Type: Document
Source: FRAMES
Hedayati, Gorham
This seminar is part of the USFS Missoula Fire Lab Seminar Series.
IBHS test chamber is a unique facility to study the effects of wind on fire. The test chamber area is equal to four basketball courts which allows researchers to perform large scale wind and fire tests. The test…
Year: 2021
Type: Media
Source: FRAMES
Holzworth, Brundell, McCarthy, Jacobson, Rodger, Anderson
World Wide Lightning Location Network (WWLLN) data on global lightning are used to investigate the increase of total lightning strokes at Arctic latitudes. We use the summertime data from June, July, and August (JJA) which average >200,000 strokes each year above 65°N for the…
Year: 2021
Type: Document
Source: FRAMES
Badola
Wildfires are a natural and essential part of Alaska ecosystems, but excessive wildfires pose a risk to the ecosystem's health and diversity, as well as to human life and property. To manage wildfires effectively, vegetation/fuel maps play a critical role in identifying high-…
Year: 2023
Type: Document
Source: FRAMES
Massey, Rogers, Berner, Cooperdock, Mack, Walker, Goetz
Deciduous tree cover is expected to increase in North American boreal forests with climate warming and wildfire. This shift in composition has the potential to generate biophysical cooling via increased land surface albedo. Here we use Landsat-derived maps of continuous tree…
Year: 2023
Type: Document
Source: FRAMES
Andrada, Russell, Arevalo-Ramirez, Kuang, Kantor, Yandun
This paper presents a comprehensive forest mapping system using a customized drone payload equipped with Light Detection and Ranging (LiDAR), cameras, a Global Navigation Satellite System (GNSS), and Inertial Measurement Unit (IMU) sensors. The goal is to develop an efficient…
Year: 2023
Type: Document
Source: FRAMES
Smail, Martin
A practitioner-oriented overview of LANDFIRE with a focus on fuels and how they react to modeling techniques. The subject area of discussion is the 2022 Cooks Peak fire located in northern New Mexico. This webinar is technical in its application and may offer insights for both…
Year: 2023
Type: Media
Source: FRAMES
Calef, Schmidt, Varvak, Ziel
The boreal forest of northwestern North America covers an extensive area, contains vast amounts of carbon in its vegetation and soil, and is characterized by extensive wildfires. Catastrophic crown fires in these forests are fueled predominantly by only two evergreen needle-leaf…
Year: 2023
Type: Document
Source: FRAMES
Pietruszka, Young, Short, St. Denis, Thompson, Calkin
Background: Current guidance for implementation of United States federal wildland fire policy charges agencies with restoring and maintaining fire-adapted ecosystems while limiting the extent of wildfires that threaten life and property, weighed against the risks posed to…
Year: 2023
Type: Document
Source: FRAMES
Dale, Barrett
[Executive Summary] Wildfire risk has many dimensions – for example, fires can impact ecosystems and wildlife, and smoke increases greenhouse gas emissions. However, this research report is narrowly focused on the effectiveness of specific governmental policies to reduce risk to…
Year: 2023
Type: Document
Source: FRAMES
Creasy, Tinkham, Hoffman, Vogeler
Characterization of forest structure is important for management-related decision making, monitoring, and adaptive management. Increasingly, observations of forest structure are needed at both finer resolutions and across greater extents to support spatially explicit management…
Year: 2021
Type: Document
Source: FRAMES