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Wildland Fire Science

USGS Fire Science is fundamental to understanding the causes, consequences, and benefits of wildfire and helps prevent and manage larger, catastrophic events. USGS scientists possess diverse technical capabilities that are used to address a variety of problems posed by wildland fires. Outcomes of USGS science can be used by fire and land managers to respond to fire-related issues when they arise.

News

Landsat at Work: Satellites Help Extinguish Wildfire Risk

Landsat at Work: Satellites Help Extinguish Wildfire Risk

The Good, the Bad, the Ugly: How Wildfires Reshape Landscapes

The Good, the Bad, the Ugly: How Wildfires Reshape Landscapes

Firelight - Vol. 3 | Issue 1

Publications

Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA

Severe fire on steep slopes increases stormwater runoff and the occurrence of runoff-initiated debris flows. Predicting locations of debris flows and their downstream effects on trunk streams requires watershed-scale high-resolution topographic data. Intense precipitation in July and September 2013 following the June 2011 Las Conchas Fire in the Jemez Mountains, New Mexico, led to...
Authors
Jonathan M. Friedman, Anne C. Tillery, Samuel J. Alfieri, Elizabeth Rachaelann Skaggs, Patrick B. Shafroth, Craig Allen

Effects of drought and cloud-water interception on groundwater recharge and wildfire hazard for recent and future climate conditions, Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi

The Water-budget Accounting for Tropical Regions Model (WATRMod) code was used for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi to estimate the spatial distribution of groundwater recharge, soil moisture, evapotranspiration, and climatic water deficit for a set of water-budget scenarios. The scenarios included historical and future drought conditions, and a land-cover...
Authors
Alan Mair, Delwyn S. Oki, Heidi L. Kāne, Adam G. Johnson, Kolja Rotzoll

Propensity score matching mitigates risk of faulty inferences in observational studies of effectiveness of restoration trials

Determining effectiveness of restoration treatments is an important requirement of adaptive management, but it can be non-trivial where only portions of large and heterogeneous landscapes of concern can be treated and sampled. Bias and non-randomness in the spatial deployment of treatment and thus sampling is nearly unavoidable in the data available for large-scale management trials, and...
Authors
Chad Raymond Kluender, Matthew Germino, Christopher R. Anthony

Science

Feasibility of Remote Sensing Data Sets for Evaluation of Next Generation Fire Behavior Models

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of Defense (DoD) Environmental Security Technology Certification Program (ESTCP) to advance efforts to deploy next generation fire behavior models through a research-to-operations transition to enable land managers to use advanced modeling tools for real-time decision making. As part of this effort, USGS is leading an...
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Feasibility of Remote Sensing Data Sets for Evaluation of Next Generation Fire Behavior Models

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of Defense (DoD) Environmental Security Technology Certification Program (ESTCP) to advance efforts to deploy next generation fire behavior models through a research-to-operations transition to enable land managers to use advanced modeling tools for real-time decision making. As part of this effort, USGS is leading an...
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Fire Behavior and Effects Model Evaluation and Demonstration across Innovation Landscapes.

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of Defense (DoD) Environmental Security Technology Certification Program (ESTCP) to demonstrate and improve how next generation fire behavior models inform land management decision-making for partners within the National Innovation Landscape Network (Innovation Landscapes Network). Specifically, this project looks to...
link

Fire Behavior and Effects Model Evaluation and Demonstration across Innovation Landscapes.

U.S. Geological Survey (USGS) scientists are working with the U.S. Department of Defense (DoD) Environmental Security Technology Certification Program (ESTCP) to demonstrate and improve how next generation fire behavior models inform land management decision-making for partners within the National Innovation Landscape Network (Innovation Landscapes Network). Specifically, this project looks to...
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USGS Technical Transfer for Department of Defense Installations in the Sagebrush Biome

The USGS has initiated a new collaboration effort with Department of Defense (DoD) in the sagebrush biome. The goal of this effort is to establish a network with DoD resource managers to define pervasive natural resource issues facing DoD installations and to identify existing innovative USGS science and tools that support DoD resource managers. Through this effort, the USGS will provide subject...
link

USGS Technical Transfer for Department of Defense Installations in the Sagebrush Biome

The USGS has initiated a new collaboration effort with Department of Defense (DoD) in the sagebrush biome. The goal of this effort is to establish a network with DoD resource managers to define pervasive natural resource issues facing DoD installations and to identify existing innovative USGS science and tools that support DoD resource managers. Through this effort, the USGS will provide subject...
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