Analysis of propagation of complex fire: case of the Yarnell Hill Fire 1

We examine the propagation of the Yarnell Hill Fire in Arizona, June 28 -- July 3, 2013 to assess the nature of its complexity. We identify the critical fire growth that starts about 35 hours after the fire initiation. In a time span of three hours, the fire area is doubled. Within the following four hours, the direction of fire turns by about 180 degrees. An hour later, a pyrocumulonimbus cloud is observed above the fire area. To monitor complex fires, we propose implementation of an IR instrument to scrutinize fire remotely for behaviors, such as vortices and rotation, arising from combustion events, terrain characteristics, and outside influences. We propose a small reconnaissance plane circling to the side and above the fire area to search for anomalies in fire propagation and atmosphere during the fire consolidation during the initial 45 hours. Ideally, the observing instrument would be sensitive in IR region at about 4.5 microns where carbon oxide emits and water transmits the radiation.

[1]  T. Loboda,et al.  Reconstruction of fire spread within wildland fire events in Northern Eurasia from the MODIS active fire product , 2004 .

[2]  Elder M. Hemerly,et al.  Automatic Georeferencing of Images Acquired by UAV’s , 2014, Int. J. Autom. Comput..

[3]  Eulàlia Planas,et al.  Computing forest fires aerial suppression effectiveness by IR monitoring , 2011 .

[4]  Begoña C. Arrue,et al.  Computer vision techniques for forest fire perception , 2008, Image Vis. Comput..

[5]  Juan Andrade-Cetto,et al.  Computing the rate of spread of linear flame fronts by thermal image processing , 2006 .

[6]  P. Gessler,et al.  Evaluation of novel thermally enhanced spectral indices for mapping fire perimeters and comparisons with fire atlas data , 2005 .

[7]  D. Roy,et al.  Global assessment of the temporal reporting accuracy and precision of the MODIS burned area product , 2010 .

[8]  M. K. Scholl,et al.  Combustion initiation and evolution during the first 400 ms in a gas burner at 10 μm , 2013 .

[9]  Aníbal Ollero,et al.  Automatic Forest-Fire Measuring Using Ground Stations and Unmanned Aerial Systems , 2011, Sensors.

[10]  Gareth Roberts,et al.  Use of Handheld Thermal Imager Data for Airborne Mapping of Fire Radiative Power and Energy and Flame Front Rate of Spread , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[11]  J. Randerson,et al.  Mapping the Daily Progression of Large Wildland Fires Using MODIS Active Fire Data , 2014 .

[12]  M. Strojnik,et al.  Optical System for Bispectral Imaging in Mid-IR at 1000 Frames per Second , 2013 .

[13]  S. A. Lewis,et al.  Remote sensing techniques to assess active fire characteristics and post-fire effects , 2006 .

[14]  Yoram J. Kaufman,et al.  An Enhanced Contextual Fire Detection Algorithm for MODIS , 2003 .

[15]  Lei Tian,et al.  Method for automatic georeferencing aerial remote sensing (RS) images from an unmanned aerial vehicle (UAV) platform , 2011 .