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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 26 - 50 of 1169
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
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
Duncanson, Kellner, Armston, Dubayah, Minor, Hancock, Healey, Patterson, Saarela, Marselis, Bruening, Goetz, Tang, Hofton, Blair, Luthcke, Fatoyinbo, Abernethy, Alonso, Andersen, Aplin, Baker, Barbier, Bastin, Biber, Boeckx, Bogaert, Boschetti, Boucher, Boyd, Burslem, Calvo-Rodriguez, Chave, Chazdon, Clark, Clark, Cohen, Coomes, Corona, Cushman, Cutler, Dalling, Dalponte, Dash, de-Miguel, Deng, Ellis, Erasmus, Fekety, Fernández-Landa, Ferraz, Fischer, Garcia-Abril, Gobakken, Hacker, Heurich, Hill, Hopkinson
NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI…
Year: 2022
Type: Document
Source: FRAMES
Azami, Orger, Schulz, Oshiro, Cho
The KITSUNE satellite is a 6-unit CubeSat platform with the main mission of 5-m-class Earth observation in low Earth orbit (LEO), and the payload is developed with a 31.4 MP commercial off-the-shelf sensor, customized optics, and a camera controller board. Even though the…
Year: 2022
Type: Document
Source: FRAMES
Trigg
Calculated values of precipitation effectiveness index and temperature efficiency index for 48 weather observation stations on the Alaska mainland are used to delineate areas that have different climatic subclassifications during the wildfire season of April through September.…
Year: 1971
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
Pereira, Oom, Silva, Benali
Climate and natural vegetation dynamics are key drivers of global vegetation fire, but anthropogenic burning now prevails over vast areas of the planet. Fire regime classification and mapping may contribute towards improved understanding of relationships between those fire…
Year: 2022
Type: Document
Source: FRAMES
Robinson, Barnett, Jones, Stanish, Parker
Quantifying the resilience of ecological communities to increasingly frequent and severe environmental disturbance, such as natural disasters, requires long-term and continuous observations and a research community that is itself resilient. Investigators must have reliable…
Year: 2022
Type: Document
Source: FRAMES
Ghali, Akhloufi, Souidene Mseddi
Wildfires are a worldwide natural disaster causing important economic damages and loss of lives. Experts predict that wildfires will increase in the coming years mainly due to climate change. Early detection and prediction of fire spread can help reduce affected areas and…
Year: 2022
Type: Document
Source: FRAMES
Becker, Keefe
Mobile technologies are rapidly advancing the field of forest operations and providing opportunities to quantify management tasks in new ways through increased digitalization. For instance, devices equipped with global navigation satellite system and radio frequency transmission…
Year: 2022
Type: Document
Source: FRAMES
Cheremisin, Marichev, Bochkovskii, Novikov, Romanchenko
The frequency of forest fires has recently increased. Combustion aerosol can enter the stratosphere, which can have noticeable consequences for the climate. In this work, we examine the transport of combustion aerosol into the stratosphere in summer 2019, when numerous wildfires…
Year: 2022
Type: Document
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
Yi, Chen, Moghaddam, Kimball, Jones, Jandt, Miller, Miller
We used full-polarimetric L-band and P-band synthetic aperture radar (SAR) data collected from the recent NASA Arctic Boreal Vulnerability Experiment (ABoVE) airborne campaign and Sentinel-1 C-band dual-polarization data to understand the sensitivity of radar backscatter…
Year: 2022
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
Erni, Wang, Swystun, Taylor, Parisien, Robinne, Eddy, Oliver, Armitage, Flannigan
Large and intense wildfires are an integral part of many Canadian landscapes, playing a critical role in ecosystem dynamics. However, the recent catastrophic fire seasons have highlighted the threat that wildfires can pose to human communities. Identifying areas at higher fire…
Year: 2024
Type: Document
Source: FRAMES
Macander, Nelson, Nawrocki, Frost, Orndahl, Palm, Wells, Goetz
Widespread changes in the distribution and abundance of plant functional types (PFTs) are occurring in Arctic and boreal ecosystems due to the intensification of disturbances, such as fire, and climate-driven vegetation dynamics, such as tundra shrub expansion. To understand how…
Year: 2022
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
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