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Type: Poster
Author(s): Robert E. Keane II; Eva C. Karau
Publication Date: 2005

As wildland fire becomes an increasingly important issue affecting our nation's landscapes, land managers must be able to quickly assess fire effects to efficiently allocate rehabilitation resources to areas under their custody. Satellite image-based burn maps can be quickly generated to provide a landscape view of relative fire severity, while fire effects simulation models provide biotic context to the effects of the burn. These techniques could be used synergistically to improve burn severity mapping capabilities of land managers, enabling them to quickly and effectively meet rehabilitation objectives. This proposal addresses AFP 2005-1 Task 1 in two ways: 1. We seek to evaluate two tools that managers can use to assess burn severity immediately post-fire, and 2. We seek to demonstrate the predictive utility of a landscape scale fire effects model in prioritization of fuels reduction treatments. Considering results from a previous investigation, we propose to expand our exploration and demonstration of these tools through testing and evaluation of the FIREHARM fire effects model, and comparison of satellite burn severity images to field and modeled data. We will develop a set of tools and procedures for running the model and generating burn severity images. Additionally, we will hold an informational workshop that will teach managers how to use these tools.

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Link to this document (35 KB; pdf)
Citation: Keane, Robert E.; Karau, Eva C. 2005. Burn severity mapping using simulation modeling and satellite imagery (poster). Joint Fire Science Project 05-1-1-12. Missoula, MT: USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Lab.

Cataloging Information

Topics:
Regions:
Keywords:
  • burn severity
  • FIREHARM
  • NBR - Normalized Burn Ratio
  • satellite imagery
JFSP Project Number(s):
  • 05-1-1-12
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 332