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

Author(s): Richard Bernknopf, Yusuke Kuwayama, Reily Gibson, Jessica Blakely, Bethany Mabee, T. J. Clifford, Brad Quayle, Justin Epting, Terry Hardy, David C. Goodrich
Year Published: 2021
Description:

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.

Citation: Bernknopf, Richard; Kuwayama, Yusuke; Gibson, Reily; Blakely, Jessica; Mabee, Bethany; Clifford, T. J.; Quayle, Brad; Epting, Justin; Hardy, Terry; Goodrich, David. 2021. Monetising the savings of remotely sensed data and information in Burn Area Emergency Response (BAER) wildfire assessment. International Journal of Wildland Fire 30(1):18-29. https://doi.org/10.1071/WF19209
Topic(s): Fire Effects, Fire & Economics, Mapping, Management Approaches, BAER
Ecosystem(s): None
Document Type: Book or Chapter or Journal Article
NRFSN number: 22536
FRAMES RCS number: 62591
Record updated: Feb 2, 2021