Monetising the savings of remotely sensed data and information in Burn Area Emergency Response (BAER) wildfire assessment

Richard Bernknopf, Yusuke Kuwayama, Reily Gibson, Jessica Blakely, Bethany Mabee, T. J. Clifford, Brad Quayle, Justin Epting, Terry Hardy, David Goodrich

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

We used a value of information approach to demonstrate the cost-effectiveness of using satellite imagery as part of the Burn Area Emergency Response (BAER), a US federal program that identifies imminent post-wildfire threats to human life and safety, property and critical natural or cultural resources. We compared the costs associated with producing a Burn Area Reflectance Classification map and implementing a BAER when imagery from satellites (either Landsat or a commercial satellite) was available to when the response team relied on information collected solely by aerial reconnaissance. The case study included two evaluations with and without Burn Area Reflectance Classification products: (a) savings of up to US 51 000 for the Elk Complex wildfire incident request and (b) savings of a multi-incident map production program. Landsat is the most cost-effective way to input burn severity information into the BAER program, with savings of up to US 35 million over a 5-year period.

Original languageEnglish
Pages (from-to)18-29
Number of pages12
JournalInternational Journal of Wildland Fire
Volume30
Issue number1
DOIs
StatePublished - Nov 4 2020
Externally publishedYes

Keywords

  • cost effectiveness
  • fire economics
  • fire severity
  • policy
  • remote sensing

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