Citation

Ambrosia VG, Wegener S, Zajkowski T, Sullivan DV, Buechel S, Enomoto F, Lobitz B, Johan S, Brass J, Hinkley E. Geocarto international 2011; 26(2): 85-101.

Copyright

(Copyright © 2011)

DOI

10.1080/10106049.2010.539302

PMID

unavailable

Abstract

Between 2006 and 2010, National Aeronautics and Space Administration (NASA) and the US Forest Service flew 14 unmanned airborne system (UAS) sensor missions, over 57 fires in the western US. The missions demonstrated the capabilities of a UAS platform (NASA Ikhana UAS), a multispectral sensor (autonomous modular sensor (AMS)), onboard processing and data visualization (Wildfire Collaborative Decision Environment (W-CDE)), to provide fire intelligence to management teams. Autonomous, on-board processing of the AMS sensor data allowed real-time fire product delivery to incident management teams on the wildfire events. The fire products included geo-rectified, colour-composite quick-look imagery, fire detection shape files, post-fire real-time normalized burn ratio imagery and burn area emergency response (BAER) imagery. The W-CDE was developed to allow the ingestion and visualization of AMS data and other pertinent fire-related information layers. This article highlights the technologies developed and employed, the UAS wildfire imaging missions performed and the outcomes and findings of the multi-year efforts.

Language: en