Global S&T Development Trend Analysis Platform of Resources and Environment
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; and David Goodrich | |
2020-10-22 | |
出版年 | 2020 |
国家 | 美国 |
领域 | 资源环境 |
英文摘要 | 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. |
URL | 查看原文 |
来源平台 | Resources for the Future |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/302071 |
专题 | 资源环境科学 |
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. |
条目包含的文件 | 条目无相关文件。 |
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