Prescribed Fire Simulation with Dynamic Ignitions Using Data from UAS-based Sensing-Reference-Cited by-同舟云学术

Prescribed Fire Simulation with Dynamic Ignitions Using Data from UAS-based Sensing

Published:2023-05-26 Issue: Volume: Page:1-13
ISSN:1747-7778
Container-title:Journal of Simulation
language:en
Short-container-title:Journal of Simulation

Author:

Hu Xiaolin¹,Ge Mu¹,Gowravaram Saket²,Chao Haiyang²,Xin Ming³

Affiliation:

1. Department of Computer Science, Georgia State University, Atlanta, GA, USA

2. Department of Aerospace Engineering, University of Kansas, Lawrence, KS, USA

3. Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO, USA

Funder

US National Institute of Food and Agriculture

Publisher

Informa UK Limited

Subject

Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17477778.2023.2217335

Reference39 articles.

1. Andrews, P. L. (2012). Modeling wind adjustment factor and midflame wind speed for Rothermel’s surface fire spread model. Gen. Tech. Rep. RMRS-GTR-266. US Department of Agriculture, Forest Service, Rocky Mountain Research Station. 39:–266

2. Beachly, E. M. (2017). An Unmanned Aerial System for Prescribed Fires, MS Thesis, University of Nebraska –Lincoln.

3. Bugwood Center. (1989). Firing techniques - a guide for prescribed fire in southern forests. United States department of agriculture, forest service southern region, Technical Publication R8-TP 11. Available from: https://www.bugwood.org/pfire/techniques.cfm.

4. The FireFlux II experiment: a model-guided field experiment to improve understanding of fire–atmosphere interactions and fire spread

5. Observing the Dynamics of Wildland Grass Fires: FireFlux—A Field Validation Experiment