Daniel Jimenez
United States Forest Service
11 Papers
84 Citations
Daniel Jimenez is an academic researcher from United States Forest Service. The author has contributed to research in topics: Combustion & Fire protection. The author has an hindex of 5, co-authored 11 publications.
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Papers
Measurements of convective and radiative heating in wildland fires
David Frankman,Brent W. Webb,Bret W. Butler,Daniel Jimenez,Jason Forthofer,Paul Sopko,Kyle Shannon,J. Kevin Hiers,Roger D. Ottmar +8 more
TL;DR: In this paper, the authors measured time-resolved irradiance and convective heating and cooling of fast-response thermopile sensors in 13 natural and prescribed wildland fires under a variety of fuel and ambient conditions.
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Prediction and measurement of thermally induced cambial tissue necrosis in tree stems
Joshua L. Jones,Brent W. Webb,Bret W. Butler,Matthew B. Dickinson,Daniel Jimenez,James Reardon,A. S. Bova +6 more
TL;DR: A model for fire-induced heating in tree stems is linked to a recently reported model for tissue necrosis, and results are promising, and indicate that the model predicts stem mortality/survival correctly in ~75-80% of the test cases.
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Towards Data-Driven Operational Wildfire Spread Modeling: A Report of the NSF-Funded WIFIRE Workshop
Michael J. Gollner,Arnaud Trouvé,Ilkay Altintas,Jessica Block,Raymond A. de Callafon,Craig B. Clements,Anna Cortes,Evan Ellicott,Jean Baptiste Filippi,Mark A. Finney,Kayo Ide,Mary Ann Jenkins,Daniel Jimenez,Chris Lautenberger,Jan Mandel,Mélanie C. Rochoux,Albert Simeoni +16 more
- 13 Jan 2015
TL;DR: The National Science Foundation via Award #1331615 as part of the Interdisciplinary Research in Hazards and Disasters (Hazards SEES) program as mentioned in this paper was used to support this work.
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Thermal Infrared Video Stabilization for Aerial Monitoring of Active Wildfires
Mario M. Valero,Steven Verstockt,Bret W. Butler,Daniel Jimenez,Oriol Rios,Christian Mata,LLoyd Queen,Elsa Pastor,Eulàlia Planas +8 more
TL;DR: In this paper, a software-based video stabilization algorithm was proposed for TIR imagery of forest fires, which achieved a registration accuracy between 10 and 1000× higher than other tested methods, returned 10× more meaningful feature matches, and proved robust in the presence of faulty video frames.
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The effect of sampling rate on interpretation of the temporal characteristics of radiative and convective heating in wildland flames
TL;DR: In this paper, time-resolved radiative and convective heating measurements were collected on a prescribed burn in coniferous fuels at a sampling frequency of 500 Hz and were artificially down-sampled to 100, 50, 10, 5 and 1 Hz to explore the effect of sampling rate on peak heat fluxes, time-averaged heating and integrated heating.
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