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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 45
A wildfire smoke detection system using unmanned aerial vehicle images based on the optimized YOLOv5
Wildfire is one of the most significant dangers and the most serious natural catastrophe, endangering forest resources, animal life, and the human economy. Recent years have witnessed a rise in wildfire incidents. The two main factors are persistent human interference with the…
Year: 2022
Type: Document
Source: FRAMES
Byerly Flint, Champ, Meldrum, Brenkert-Smith
Negative imagery of destruction may induce or inhibit action to reduce risks from climate-exacerbated hazards, such as wildfires. This has generated conflicting assumptions among experts who communicate with homeowners: half of surveyed wildfire practitioners perceive a lack of…
Year: 2022
Type: Document
Source: FRAMES
Finney
FlamMap is a fire analysis desktop application that runs in a 64-bit Windows Operating System environment. It can simulate potential fire behavior characteristics (spread rate, flame length, fireline intensity, etc.), fire growth and spread and conditional burn probabilities…
Year: 2022
Type: Tool
Source: FRAMES
Humber, Zubkova, Giglio
For the past two decades, satellite-derived activef fire data have been used in a multitude of operational applications and in a large and growing body of research on the role of fire within the Earth system. More recent work with satellite-based active fire data has been…
Year: 2022
Type: Document
Source: FRAMES
Riley, Grenfell
This seminar is part of the USFS Missoula Fire Lab Seminar Series.
We used a random forests machine learning process to produce a tree-level model of the US by assigning forest plot data from Forest Inventory Analysis (FIA) to landscape data from LANDFIRE at 30x30 resolution.…
Year: 2022
Type: Media
Source: FRAMES
To collect partner and employee input on the Wildfire Crisis Strategy 10-year Implementation Plan, the Forest Service and National Forest Foundation hosted a series of roundtable discussions in the winter and spring of 2022. Individual roundtables were focused on each of the…
Year: 2022
Type: Document
Source: FRAMES
Xu, You
The spatiotemporal variability of vegetation fires is essential for understanding changes in the climate and ecosystem in mountainous regions. MODIS Collection 6 active fire products indicate that the area burned by vegetation fires declined globally from over 4.27 million km2…
Year: 2022
Type: Document
Source: FRAMES
Goldstein, Kennedy
Background: Virtually every decision within wildland fire management includes substantial ethical dimensions. As pressures increase with ever-growing fires, it is becoming increasingly important to develop tools for assessing and acting on the values intrinsic to wildfire…
Year: 2022
Type: Document
Source: FRAMES
Mohapatra, Trinh
As fires grow in intensity and frequency each year, so has the resistance from their anthropic victims in the form of firefighting technology and research. Although it is impossible to completely prevent wildfires, the potential devastation can be minimized if fires are detected…
Year: 2022
Type: Document
Source: FRAMES
Orland, Kirschbaum, Stanley
Wildfire is a global phenomenon that has dramatic effects on erosion and flood potential. On steep slopes, burned areas are more likely to experience significant overland flow during heavy rainfall leading to post fire debris flows (PFDFs). Previous work establishes methods for…
Year: 2022
Type: Document
Source: FRAMES
Liang, Liu, Wang, Wang
Climate change is exacerbating the fire activity in Alaska, which exposes lives and properties to great risk, especially residents living in Wildland-Urban Interface (WUI). Therefore, it is crucial to characterize the spatial distribution and temporal dynamics of WUI and assess…
Year: 2022
Type: Document
Source: FRAMES
Bharany, Sharma, Frnda, Shuaib, Khalid, Hussain, Iqbal, Ullah
Forest fires are a significant threat to the ecological system’s stability. Several attempts have been made to detect forest fires using a variety of approaches, including optical fire sensors, and satellite-based technologies, all of which have been unsuccessful. In today’s…
Year: 2022
Type: Document
Source: FRAMES
Smith, Lamborn
In a rapidly changing environment where fires are becoming more frequent and severe, we need information and tools that can help us understand the broad scope of impacts fire can have in complex social-ecological systems. Taking a novel approach, we used a social-ecological…
Year: 2022
Type: Document
Source: FRAMES
McHugh
This webinar provides an introduction and overview of the FlamMap modeling system and its new capabilities in version 6.2, with focus on several new additions. Hosted by the Northern Rockies Fire Science Network, a regional fire science exchange funded by the Joint Fire Science…
Year: 2022
Type: Media
Source: FRAMES
Shmuel, Heifetz
Wildfires are a major natural hazard that lead to deforestation, carbon emissions, and loss of human and animal lives every year. Effective predictions of wildfire occurrence and burned areas are essential to forest management and firefighting. In this paper we apply various…
Year: 2022
Type: Document
Source: FRAMES
Dockter
In this Open Office Hour, KBR Vegetation Scientist, Daryn Dockter discusses the ins and outs of how LANDFIRE maps Existing Vegetation Cover and Existing Vegetation Height products. Throughout the talk, he describes the update process and methods used to develop these highly…
Year: 2022
Type: Media
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
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
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