Tactical Fire Remote Sensing Advisory Committee (TFRSAC) 2017 FALL Meeting (December) . Click here to view the agenda.

TFRSAC Meeting: 24-25 May, 2017 at NASA-Ames. Click here to view the agenda.

Wildland Fires 2017 Annual Review Meeting held on Feb. 28-March 2, 2017 in Boulder, CO. Click here to view the agenda

2016 Annual Wildland Fire Program Summary available here

NASA sponsors Alaska Fire Science Consortium Workshop on Applying Remote Sensing in Boreal / Arctic Wildfire Management & Science

The Wildland Fires Application area promotes the use of Earth observations and models focused on addressing issues related to wildland fire in support of management strategies, business practices, and policy analysis and decisions. The Wildland Fire applications includes support of all aspects of pre, active and post-fire analysis tools that use Earth observations and models to enhance fuel load estimates, fuel treatment planning, risk assessment, air quality, insect infestations, burned area remediation and rehabilitation, and other topics that lead to improved land-management decisions.

PORTFOLIO

  • Rapid Response to the 2014 King Fire
  • A Prototype System for Predicting Insect and Climate-Induced Impacts On Fire Hazard in Complex Terrain
  • An integrated forest and fire monitoring and forecasting system for improved forest management in the tropics
  • Development and application of spatially refined remote sensing active fire data sets in support of fire monitoring, management and planning
  • Enhanced Wildland Fire Management Decision Support Using Lidar-Infused LANDFIRE Data
  • Improving national shrub and grass fuel maps using remotely sensed data and biogeochemical modeling to support fire risk assessments stage 1 feasibility study in the Owyhee upland
  • RECOVER: Rehabilitation Capability Convergence for Ecosystem Recovery
  • Utilization of Multi-Sensor Active Fire Detections to Map Fires in the US. The Future of Monitoring Trends in Burn Severity (MTBS)
  • Linking remote sensing and process-based hydrological models to increase understanding of wildfire effects on watersheds and improve post-fire remediation efforts.
  • Wildland Fire Behavior and Risk Prediction
  • Wildland Fire Behavior and Risk Prediction
  • Enhancing Wildland Fire Decision Support and Warning Systems
  • Development and application of spatially refined remote sensing active fire data sets in support of fire monitoring, management and planning
  • Development of New Geospatial Tools for Wildland Fire Management and Risk Reduction
  • Improving agricultural and wildland fire source emission products and access to information for atmospheric science and smoke modeling applications
  • RECOVER: Rehabilitation Capability Convergence for Ecosystem Recovery
  • Wildfire risk and treatment effectiveness of protecting highly valued resources and assets with fuels management
  • A Prototype System for Predicting Insect and Climate-Induced Impacts On Fire Hazard in Complex Terrain
  • Enhanced Wildland Fire Management Decision Support Using Lidar-Infused LANDFIRE Data
  • Improving national shrub and grass fuel maps using remotely sensed data and biogeochemical modeling to support fire risk assessments stage 1 feasibility study in the Owyhee upland
  • Utilization of Multi-Sensor Active Fire Detections to Map Fires in the US. The Future of Monitoring Trends in Burn Severity (MTBS)
  • AFTEERS: Automated Fuels Treatment Effectiveness Evaluation Using Remote-Sensing Information
  • An integrated forest and fire monitoring and forecasting system for improved forest management in the tropics
  • Applications of satellite measurements to improve prescribed fire management
  • Daily Forecasts of Wildland Fire Impacts on Air Quality in the Pacific Northwest: Enhancing the Air Indicator Report for Public Awareness and Community Tracking (AIRPACT) Decision Support System
  • Linking remote sensing and process-based hydrological models to increase understanding of wildfire effects on watersheds and improve post-fire remediation efforts.
  • Feasibility study: Classification of Whitebark Pine and Spruce-fir Forests to Improve Wildland Fire Decision Support Tools in the USFS Northern Region
  • Evolving a Solutions Network of Resource Conservation and Development Councils, Watershed Management Teams, and NASA Research Institutions Across the Nation
  • Rapid Response to the 2014 King Fire

We had some serious wildfires in September 2014, and the VIIRS 375-meter data performed excellently.
Philip Frost
Meraka Institute
The high-resolution data gleaned from VIIRS are available in a short time period and significantly enhance the Forest Service's current strategic fire detection and monitoring capabilities.
Brad Quayle
U.S. Forest Service

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