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来源类型Journal Article in International Journal of Wildland Fire
规范类型论文
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
发表日期2020-10-22
出处International Journal of Wildland Fire
出版年2020
语种英语
摘要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.
主题Adaptation and Resilience,Earth Observation for Policy,Wildfires,VALUABLES
URLhttps://www.rff.org/publications/journal-articles/monetising-savings-remotely-sensed-data-and-information-burn-area-emergency-response-baer-wildfire-assessment/
来源智库Resources for the Future (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/588368
推荐引用方式
GB/T 7714
Richard Bernknopf,Yusuke Kuwayama,Reily Gibson,et al. Monetising the Savings of Remotely Sensed Data and Information in Burn Area Emergency Response (BAER) Wildfire Assessment. 2020.
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