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Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

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Page 1: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Steps to creating synthetic images of wildland fire

Anthony VodacekCenter for Imaging Science

Rochester Institute of TechnologyApril 14, 2005

Page 2: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Flame Visualization– 3D Flame structure is not explicitly in the NCAR model nor is it in the fire propagation

code– Does it matter if we create realistic flame structure and smoke?

• Needed for creating realistic synthetic images from model outputs for comparison to real images of a fire scene• Needed for better visualization for the fire manager

– How do we create realistic flame structure?• Temperature data• Real spectral data and blackbody spectral model• Attenuation coefficient through flame• 3D modeling of an emissive transparent object (a gas)

Page 3: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Albany NY pinebushthermocouple at surfaceof mineral soil

Temperature data

Page 4: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Real Flame spectra and blackbody model

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wavelength, micrometers

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Infrared Systems spectrometercontinuously variable filter

ASD spectrometer

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wavelength, micrometers

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Page 5: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Flame thickness and radianceSeries of measurements on experimental fires at the Fire Science Lab

Page 6: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Flame thickness and radiance

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Flame thickness, feetFlame thickness, feet

• Optically thin result, relative radiance was linear with temperature• Attenuation coefficient is very small

Page 7: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Digital Imaging and Remote Sensing Image Generation Model (DIRSIG)• A first principles ray tracing code that is spectral (visible to thermal)• Facetized solid reflective surfaces• Transmissive objects (tree leaves, gas plumes)• Thermal history• MODTRAN atmospheric model• Sensor model

Page 8: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Voxels in DIRSIG• A voxel is a 3D pixel• Transmission through voxels (an attenuation coefficient)• Voxel temperature (800 C)

Page 9: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Voxel emission -- for now

1x1x

2x2x

3x3x

• The voxel is an emitting source to the sensor• We can do this now, see example• New measurements at Missoula needed to determine spectral attenuation

Page 10: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Voxel emission – the future

1x1x

2x2x

3x3x

• The voxel as a secondary source• New coding in DIRSIG is required. Ready by August?

Page 11: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

Buoyancy output from the NCAR modelIn general, the higher the buoyancy, the relatively warmer the atmosphere

Display buoyancy as grayscale

Lower threshold, larger region, looks like smoke Higher threshold, smaller region, looks like flame

Original data from Janice Coen, NCAR

Page 12: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

grass fireDIRSIG scene •3D voxels• 1073K blackbody• ~10 m flames• RGB (lines)• Grass on ground• No reflection from the fire to the ground

Page 13: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005

DIRSIG 2.2 m WASP image, Albany, NYPrescribed burn

1.35 m

Page 14: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005
Page 15: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005
Page 16: Steps to creating synthetic images of wildland fire Anthony Vodacek Center for Imaging Science Rochester Institute of Technology April 14, 2005