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.
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| https://en.wikipedia.org/wiki/Wildfire#/media/File:The_Rim_Fire_in_the_Stanislaus_National_Forest_near_in_California_began_on_Aug._17,_2013-0004.jpg |
https://www.publish.csiro.au/wf/WF19209 https://doi.org/10.1071/WF19209
by Richard Bernknopf, Yusuke Kuwayama, Reily Gibson, Jessica Blakely, Bethany Mabee, T.J. Clifford, Brad Quayle, Justin Epting, Terry Hardy, and David Goodrich
International Journal of Wildland Fire - https://www.publish.csiro.au/wf
Published online: 22 October 2020
via/hat tip Resources For the Futre www.RFF.org https://www.rff.org/publications/journal-articles/monetising-savings-remotely-sensed-data-and-information-burn-area-emergency-response-baer-wildfire-assessment/
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