The Ikhana unmanned airborne system (UAS) western states fire imaging missions: From concept to reality (2006-2010)

Geocarto International

Volumn 26, Issue 2, 2011, Pages 85-101

  Ambrosia, V G ^a   Wegener, S ^a   Zajkowski, T ^b   Sullivan, D V ^a   Buechel, S ^a   Enomoto, F ^a   Lobitz, B ^a   Johan, S ^a   Brass, J ^a   Hinkley, E ^c  

^a NASA AMES RESEARCH CENTER   (United States)

^b USDA FOREST SERVICE   (United States)

^c USDA   (United States)

Author keywords

CDE; Ikhana; Thermal infrared; UAS UAV; Wildfire

Indexed keywords

AIRBORNE SURVEY; DATA PROCESSING; DECISION SUPPORT SYSTEM; MAPPING; MULTISPECTRAL IMAGE; REMOTE SENSING; SATELLITE DATA; SATELLITE SENSOR; THERMAL INFRARED MULTISPECTRAL SCANNER; UNMANNED VEHICLE; VISUALIZATION; WILDFIRE;

UNITED STATES;

EID: 79952711395     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2010.539302     Document Type: Article

References (19)

1. Ambrosia, V.G., Hinkley, E., and Ambrose, S.D., 2008. NASA science serving society: improving capabilities for fire characterization to effect reduction in disaster losses. In: S. Nicklin, B. Cornwell, J. Dodd, J. Griffiths, and S. Townsend, eds. Risk wise. United Kingdom: Tudor Rose, ISBN 0-9536140-9-3, 158-161.
2. Ambrosia, V.G., et al., 2009. Lessons learned: experiences in UAS sensor operations supporting disaster scenarios (wildfires) in the United States. In: Proceedings of 33rd international symposium on remote sensing of environment,May 2009, Stresa, Italy. ISRSE, [CD-ROM], paper # 301, 1-4.
3. Cahoon, D.R., Jr., et al., 1992. Evaluation of a technique for satellite-derived area estimation of forest fires. Journal of Geophysical Research, 97, 3805-3814.
4. Federal Aviation Administration (FAA), 2010. Unmanned aircraft systems: certifications and authorizations [online]. Available from: http://www.faa.gov/about/initiatives/uas/ [Accessed 13 August 2010].
5. Flasse, S.P. and Ceccato, P.S., 1996. A contextual algorithm for AVHRR fire detection. International Journal of Remote Sensing, 17, 419-424.
6. Giglio, L., et al., 2003. An enhanced contextual fire detection algorithm for MODIS. Remote Sensing of Environment, 87, 273-282.
7. Howard, S.M., et al., 2002. Historical fire severity mapping from Landsat data. In: Pecora 15/ Land Satellite Information IV/ ISPRS Commission I symposium, proceedings [online]. American Society for Photogrammetry and Remote Sensing. Available from: http:// www.isprs.org/commission1/proceedings02/paper/00041.pdf [Accessed 23 November 2010].
8. Justice, C.O., et al., 2002. The MODIS fire products. Remote Sensing of Environment, 83, 244-262.
9. Kaufman, Y.J., et al., 1998. Potential global fire monitoring from EOS-MODIS. Journal of Geophysical Research, 103, 32215-32238.
10. Li, Z., Nadon, S., and Cihlar, J., 2000b. Satellite detection of Canadian boreal forest fires: development and application of an algorithm. International Journal of Remote Sensing, 21,3057-3069.
11. Li, Z., et al., 2000a. Satellite mapping of Canadian boreal forest fires: evaluation and comparison of algorithms. International Journal of Remote Sensing, 21, 3071-3082.
12. Morisette, J.T., et al., 2005. Validation of MODIS active fire detection products derived from two algorithms. Earth Interactions, 9, 1-23.
13. National Aeronautics and Space Administration (NASA) - Goddard Space Flight Center, 2009. MODIS rapid response system [online]. Available from: http://rapidfire.sci.gsfc.nasa. gov/ [Accessed 10 August 2010].
14. National Aeronautics and Space Administration (NASA), 2010. NASA airborne science program [online. Available from: http://airbornescience.nasa.gov/index.html [Accessed 13 August 2010].
15. US Forest Service, 2009. MODIS active fire mapping program [online]. Available from: http:// activefiremaps.fs.fed.us/ [Accessed 10 August 2010].
16. US Forest Service, 2010a. National infrared operations [online]. Available from: http:// nirops.fs.fed.us/index.html [Accessed 12 August 2010].
17. US Forest Service, 2010b. Burned area emergency response (BAER) imagery support [online]. Available from: http://www.fs.fed.us/eng/rsac/baer/ [Accessed 10 August 2010].
18. US Geological Survey, 2008. Shuttle radar topographic mission [online]. Available from: http://srtm.usgs.gov/index.php [Accessed 1 June 2009].
19. Wegener, S.S., 2009. UAS for remote sensing, myths and realities. In: Proceedings of 33rd international symposium on remote sensing of environment, May 2009, Stresa, Italy. ISRSE, [CD-ROM], paper # 468, 1-4.