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Type: Webinar
Distribution Contact(s):
  • Wildland Fire Lessons Learned Center
Publication Date: May 14, 2013

Dr. Matt Reeves presented a webinar on May 14, 2013 on a satellite based fuel updating protocol for estimating surface Fire Behavior Fuel Models for U.S. rangelands. Current fire behavior and decision support systems such as Wildand Fire Decision Support System (WFDSS) and Rapid Assessment of Values at risk (RAVAR) require up-to-date spatial data depicting the amount and condition of fuels across the landscape. With so many lives, properties and resources at risk, updated, timely and accurate estimates of of non-forest fuels is a critical component of fire management today. Wildland fuels in arid regions of the U.S. respond quickly to inter-annual variations in vegetation productivity, especially when annual invasive species such as cheatgrass (Bromus tectorum) and red brome (Bromus rubens) are present. Currently no system exists which seamlessly and comprehensively provides updated data for all non-forest fuels. Therefore, an annual monitoring and updating strategy is needed that will deliver spatially explicit depictions of surface fuels in a continuous and comprehensive manner. This webinar was hosted by the Wildland Fire Lessons Learned Center (, the Joint Fire Science Program (, and the International Association of Wildland Fire (

Recording Length: 0:39:42
Online Link(s):
Link to this recording (54 MB; mp4)
Link to this recording (222 MB; wmv)

Cataloging Information

  • biomass model
  • biomass production
  • Bromus tectorum
  • cheatgrass
  • fire behavior model
  • fuel load
  • fuel model
  • NDVI - Normalized Difference Vegetation Index
  • precipitation
  • rangeland
  • RAVAR - Rapid Assessment of Values at Risk
  • remote sensing
  • shortgrass prairie
  • tallgrass prairie
  • VAR - values-at-risk
  • variability
  • WFDSS - Wildland Fire Decision Support System
Record Last Modified:
Record Maintained By: FRAMES Staff (
FRAMES Record Number: 14544