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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 |
URL | https://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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