Science in 60 – Tabletop Fire Prediction

Cary, Lyle

Title: Science in 60 – Tabletop Fire Prediction

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Abstract

At the Interagency Fire Center at Los Alamos National Laboratory, experts rely on the state-of-the-art Simtable to help them predict the unpredictable. With algorithms that include camera-based object-tracking and projection developed by the Laboratory, the emergency operations team can simulate a wildland fire spreading across any terrain. The table system, developed and marketed by Simtable, a Santa Fe, N.M., company, takes into account weather, vegetation and fuel conditions. The project also received funding from the LANS Venture Acceleration Fund to improve the user interface.

Authors:: Cary, Lyle

Publication Date:: Thu Jun 02 00:00:00 EDT 2016

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1256925

Resource Type:: Multimedia

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; SIMTABLE; FIRE; FIRE PREDICTION; WILD LAND FIRE; CONTROL MEASURES

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                    Cary, Lyle. Science in 60 – Tabletop Fire Prediction.  United States: N. p., 2016. 
        Web.

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                    Cary, Lyle. Science in 60 – Tabletop Fire Prediction.  United States.

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                    Cary, Lyle. 2016.  
        "Science in 60 – Tabletop Fire Prediction".  United States.  https://www.osti.gov/servlets/purl/1256925.

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@article{osti_1256925,

  title        = {Science in 60 – Tabletop Fire Prediction},

  author       = {Cary, Lyle},

  abstractNote = {At the Interagency Fire Center at Los Alamos National Laboratory, experts rely on the state-of-the-art Simtable to help them predict the unpredictable. With algorithms that include camera-based object-tracking and projection developed by the Laboratory, the emergency operations team can simulate a wildland fire spreading across any terrain. The table system, developed and marketed by Simtable, a Santa Fe, N.M., company, takes into account weather, vegetation and fuel conditions. The project also received funding from the LANS Venture Acceleration Fund to improve the user interface.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1256925},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Jun 02 00:00:00 EDT 2016},

  month        = {Thu Jun 02 00:00:00 EDT 2016}

}

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