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

Wildland Fires 2016 Annual Review Meeting held on March 1st-3rd, 2016 in Boise Idaho. Click here to view the agenda.

Our Wildland Fires 2015 Annual Summary is available here.

The 2014 NASA Earth Science Applied Sciences Program Wildland Fires Annual Report is available here!

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

  • A Prototype System for Predicting Insect and Climate-Induced Impacts On Fire Hazard in Complex Terrain
  • 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)
  • An integrated forest and fire monitoring and forecasting system for improved forest management in the tropics
  • 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
  • AFTEERS: Automated Fuels Treatment Effectiveness Evaluation Using Remote-Sensing Information
  • Rapid Response to the 2014 King Fire
  • Applications of satellite measurements to improve prescribed fire management
  • A Prototype System for Predicting Insect and Climate-Induced Impacts On Fire Hazard in Complex Terrain
  • 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
  • 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
  • Enhanced Wildland Fire Management Decision Support Using Lidar-Infused LANDFIRE Data
  • Enhancing Wildland Fire Decision Support and Warning Systems
  • Feasibility study: Classification of Whitebark Pine and Spruce-fir Forests to Improve Wildland Fire Decision Support Tools in the USFS Northern Region
  • Improving agricultural and wildland fire source emission products and access to information for atmospheric science and smoke modeling applications
  • 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)
  • Wildfire risk and treatment effectiveness of protecting highly valued resources and assets with fuels management
  • An integrated forest and fire monitoring and forecasting system for improved forest management in the tropics
  • 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
  • Evolving a Solutions Network of Resource Conservation and Development Councils, Watershed Management Teams, and NASA Research Institutions Across the Nation
  • A Prototype System for Predicting Insect and Climate-Induced Impacts On Fire Hazard in Complex Terrain

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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