TY  - JOUR
PY  - 2021//
TI  - Monetising the savings of remotely sensed data and information in Burn Area Emergency Response (BAER) wildfire assessment
JO  - International journal of wildland fire
A1  - Bernknopf, Richard
A1  - Kuwayama, Yusuke
A1  - Gibson, Reily
A1  - Blakely, Jessica
A1  - Mabee, Bethany
A1  - Clifford, T. J.
A1  - Quayle, Brad
A1  - Epting, Justin
A1  - Hardy, Terry
A1  - Goodrich, David
SP  - 18
EP  - 29
VL  - 30
IS  - 1
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1049-8001
UR  - http://dx.doi.org/10.1071/WF19209
ID  - ref1
ER  -