Pixels to pyrometrics: UAS-derived infrared imagery to evaluate and monitor prescribed fire behaviour and effects
Leo O’Neill
A , Peter Z Fulé A * , Adam Watts B , Chris Moran C , Bryce Hopkins D , Eric Rowell E , Andrea Thode A and Fatemeh Afghah D
A
B
C
D
E
Abstract
Prescribed fire is vital for fuel reduction and ecological restoration, but the effectiveness and fine-scale interactions are poorly understood.
We developed methods for processing uncrewed aircraft systems (UAS) imagery into spatially explicit pyrometrics, including measurements of fuel consumption, rate of spread, and residence time to quantitatively measure three prescribed fires.
We collected infrared (IR) imagery continuously (0.2 Hz) over prescribed burns and one experimental calibration burn, capturing fire progression and combustion for multiple hours.
Pyrometrics were successfully extracted from UAS-IR imagery with sufficient spatiotemporal resolution to effectively measure and differentiate between fires. UAS-IR fuel consumption correlated with weight-based measurements of 10 1-m2 experimental burn plots, validating our approach to estimating consumption with a cost-effective UAS-IR sensor (R2 = 0.99; RMSE = 0.38 kg m−2).
Our findings demonstrate UAS-IR pyrometrics are an accurate approach to monitoring fire behaviour and effects, such as measurements of consumption. Prescribed fire is a fine-scale process; a ground sampling distance of <2.3 m2 is recommended. Additional research is needed to validate other derived measurements.
Refined fire monitoring coupled with refined objectives will be pivotal in informing fire management of best practices, justifying the use of prescribed fire and providing quantitative feedback in an uncertain environment.
Keywords: fire effects, fire radiative energy (FRE), fire radiative power (FRP), fire rate of spread, fuel consumption, image stabilisation, thermal imagery, unmanned aerial vehicles (UAV), uncrewed aircraft systems (UAS).
References
Agisoft (2023) Metashape Professional. Available at https://www.agisoft.com
Boroujeni SPH, Razi A, Khoshdel S, Afghah F, Coen JL, ONeill L, Fule PZ, Watts A, Kokolakis N-MT, Vamvoudakis KG (2024) A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management. ArXiv Available at https://arxiv.org/abs/2401.02456.
| Google Scholar |
Bright BC, Hudak AT, McCarley TR, Spannuth A, Sánchez-López N, Ottmar RD, Soja AJ (2022) Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau. Fire Ecology 18, 18.
| Crossref | Google Scholar | PubMed |
Cruz MG, Alexander ME, Fernandes PM (2022) Evidence for lack of a fuel effect on forest and shrubland fire rates of spread under elevated fire danger conditions: implications for modelling and management. International Journal of Wildland Fire 31, 471-479.
| Crossref | Google Scholar |
de Almeida DRA, Stark SC, Valbuena R, Broadbent EN, Silva TSF, de Resende AF, Ferreira MP, Cardil A, Silva CA, Amazonas N, Zambrano AMA, Brancalion PHS (2020) A new era in forest restoration monitoring. Restoration Ecology 28, 8-11.
| Crossref | Google Scholar |
Fernandes PM, Botelho HS (2003) A review of prescribed burning effectiveness in fire hazard reduction. International Journal of Wildland Fire 12, 117-128.
| Crossref | Google Scholar |
Filkov A, Cirulis B, Penman T (2021) Quantifying merging fire behaviour phenomena using unmanned aerial vehicle technology. International Journal of Wildland Fire 30, 197-214.
| Crossref | Google Scholar |
Flerchinger GN, Seyfried MS, Hardegree SP (2016) Hydrologic response and recovery to prescribed fire and vegetation removal in a small rangeland catchment. Ecohydrology 9, 1604-1619.
| Crossref | Google Scholar |
Freeborn PH, Wooster MJ, Hao WM, Ryan CA, Nordgren BL, Baker SP, Ichoku C (2008) Relationships between energy release, fuel mass loss, and trace gas and aerosol emissions during laboratory biomass fires. Journal of Geophysical Research: Atmospheres 113, D01301.
| Crossref | Google Scholar |
Fulé PZ, Crouse JE, Roccaforte JP, Kalies EL (2012) Do thinning and/or burning treatments in western USA ponderosa or Jeffrey pine-dominated forests help restore natural fire behavior? Forest Ecology and Management 269, 68-81.
| Crossref | Google Scholar |
Gowravaram S, Chao H, Zhao T, Parsons S, Hu X, Xin M, Flanagan H, Tian P (2022) Prescribed grass fire evolution mapping and rate of spread measurement using orthorectified thermal imagery from a fixed-wing UAS. International Journal of Remote Sensing 43, 2357-2376.
| Crossref | Google Scholar |
Hengl T (2006) Finding the right pixel size. Computers & Geosciences 32, 1283-1298.
| Crossref | Google Scholar |
Hiers JK, O’Brien JJ, Varner JM, Butler BW, Dickinson M, Furman J, Gallagher M, Godwin D, Goodrick SL, Hood SM, Hudak A, Kobziar LN, Linn R, Loudermilk EL, McCaffrey S, Robertson K, Rowell EM, Skowronski N, Watts AC, Yedinak KM (2020) Prescribed fire science: the case for a refined research agenda. Fire Ecology 16, 11.
| Crossref | Google Scholar |
Hillman S, Hally B, Wallace L, Turner D, Lucieer A, Reinke K, Jones S (2021) High-resolution estimates of fire severity—an evaluation of uas image and lidar mapping approaches on a sedgeland forest boundary in Tasmania, Australia. Fire 4, 14.
| Crossref | Google Scholar |
Hudak AT, Dickinson MB, Bright BC, Kremens RL, Loudermilk EL, O’brien JJ, Hornsby BS, Ottmar RD (2016) Measurements relating fire radiative energy density and surface fuel consumption - RxCADRE 2011 and 2012. International Journal of Wildland Fire 25, 25-37.
| Crossref | Google Scholar |
Hudak AT, Kato A, Bright BC, Loudermilk EL, Hawley C, Restaino JC, Ottmar RD, Prata GA, Cabo C, Prichard SJ, Rowell EM, Weise DR (2020) Towards spatially explicit quantification of pre- and postfire fuels and fuel consumption from traditional and point cloud measurements. Forest Science 66, 428-442.
| Crossref | Google Scholar |
Iverson LR, Yaussy DA, Rebbeck J, Hutchinson TF, Long RP, Prasad AM (2004) A comparison of thermocouples and temperature paints to monitor spatial and temporal characteristics of landscape-scale prescribed fires. International Journal of Wildland Fire 13, 311-322.
| Crossref | Google Scholar |
Jain P, Coogan SC, Ganapathi Subramanian S, Crowley M, Taylor S, Flannigan MD, Coogan S, Subramanian S, Crowley M, Taylor S (2020) A review of machine learning applications in wildfire science and management. Environmental Reviews 28, 478-505.
| Crossref | Google Scholar |
Johnston JM, Wooster MJ, Lynham TJ (2014) Experimental confirmation of the MWIR and LWIR grey body assumption for vegetation fire flame emissivity. International Journal of Wildland Fire 23, 463-479.
| Crossref | Google Scholar |
Johnston JM, Wheatley MJ, Wooster MJ, Paugam R, Matt Davies G, Deboer KA (2018) Flame-front rate of spread estimates for moderate scale experimental fires are strongly influenced by measurement approach. Fire 1, 16.
| Crossref | Google Scholar |
Keane RE (2015) ‘Wildland fuel fundamentals and applications.’ (Springer International Publishing) 10.1007/978-3-319-09015-3/COVER
Kennard DK, Outcalt KW, Jones D, O’Brien JJ (2005) Comparing techniques for estimating flame temperature of prescribed fires. Fire Ecology 1, 75-84.
| Crossref | Google Scholar |
Klauberg C, Hudak AT, Bright BC, Boschetti L, Dickinson MB, Kremens RL, Silva CA (2018) Use of ordinary kriging and Gaussian conditional simulation to interpolate airborne fire radiative energy density estimates. International Journal of Wildland Fire 27, 228-240.
| Crossref | Google Scholar |
Kremens RL, Dickinson MB, Bova AS (2012) Radiant flux density, energy density and fuel consumption in mixed-oak forest surface fires. International Journal of Wildland Fire 21, 722-730.
| Crossref | Google Scholar |
Loudermilk EL, O’Brien JJ, Mitchell RJ, Cropper WP, Hiers JK, Grunwald S, Grego J, Fernandez-Diaz JC (2012) Linking complex forest fuel structure and fire behaviour at fine scales. International Journal of Wildland Fire 21, 882.
| Crossref | Google Scholar |
Lutes DC, Keane RE, Caratti JF, Key CH, Benson NC, Sutherland S, Gangi LJ (2006) FIREMON: Fire effects monitoring and inventory system. General Technical Report RMRS-GTR-164. (U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station) 10.2737/RMRS-GTR-164
Mason DS, Lashley MA (2021) Spatial scale in prescribed fire regimes: an understudied aspect in conservation with examples from the southeastern United States. Fire Ecology 17, 3.
| Crossref | Google Scholar |
Mathews BJ, Strand EK, Smith AMS, Hudak AT, Dickinson B, Kremens RL (2016) Laboratory experiments to estimate interception of infrared radiation by tree canopies. International Journal of Wildland Fire 25, 1009-1014.
| Crossref | Google Scholar |
Moore B, Thompson DK, Schroeder D, Johnston JM, Hvenegaard S (2020) Using infrared imagery to assess fire behaviour in a mulched fuel bed in black spruce forests. Fire 3, 1-11.
| Crossref | Google Scholar |
Moran CJ (2019) New, multi-scale approaches to characterize patterns in vegetation, fuels, and wildfire. PhD Thesis, University of Montana, Missoula, MT, United States. Available at https://scholarworks.umt.edu/etd/11464
Moran CJ, Seielstad CA, Cunningham MR, Hoff V, Parsons RA, Queen L, Sauerbrey K, Wallace T (2019) Deriving fire behavior metrics from UAS imagery. Fire 2, 36.
| Crossref | Google Scholar |
Moran CJ, Hoff V, Parsons RA, Queen LP, Seielstad CA (2022) Mapping fine-scale crown scorch in 3D with remotely piloted aircraft systems. Fire 5, 59.
| Crossref | Google Scholar |
Nitoslawski SA, Wong‐Stevens K, Steenberg JWN, Witherspoon K, Nesbitt L, Konijnendijk van den Bosch CC (2021) The digital forest: mapping a decade of knowledge on technological applications for forest ecosystems. Earth’s Future 9, e2021EF002123.
| Crossref | Google Scholar |
O’Brien JJ, Loudermilk EL, Hornsby B, Hudak AT, Bright BC, Dickinson MB, Hiers JK, Teske C, Ottmar RD (2015) High-resolution infrared thermography for capturing wildland fire behaviour: RxCADRE 2012. International Journal of Wildland Fire 25, 62-75.
| Crossref | Google Scholar |
O’Brien JJ, Hiers JK, Varner JM, Hoffman CM, Dickinson MB, Michaletz ST, Loudermilk EL, Butler BW (2018) Advances in mechanistic approaches to quantifying biophysical fire effects. Current Forestry Reports 4, 161-177.
| Crossref | Google Scholar |
Parsons RA, Linn RR, Pimont F, Hoffman C, Sauer J, Winterkamp J, Sieg CH, Jolly WM (2017) Numerical investigation of aggregated fuel spatial pattern impacts on fire behavior. Land 6, 43.
| Crossref | Google Scholar |
Paugam R, Wooster MJ, Roberts G (2013) Use of handheld thermal imager data for airborne mapping of fire radiative power and energy and flame front rate of spread. IEEE Transactions on Geoscience and Remote Sensing 51, 3385-3399.
| Crossref | Google Scholar |
Reynolds RT, Sánchez Meador AJ, Youtz JA, Nicolet T, Matonis MS, Jackson PL, DeLorenzo DG, Graves AD (2013) ‘Restoring composition and structure in southwestern firequent-fire forests: A science-based framework for improving ecosystem resiliency.’ (USDA: Fort Collins, CO) Available at https://www.fs.usda.gov/rm/pubs/rmrs_gtr310.pdf
Roccaforte JP, Fulé PZ, Chancellor WW, Laughlin DC (2012) Woody debris and tree regeneration dynamics following severe wildfires in Arizona ponderosa pine forests. Canadian Journal of Forest Research 42, 593-604.
| Crossref | Google Scholar |
Rowell E, Loudermilk EL, Hawley C, Pokswinski S, Seielstad C, Queen Ll, O’Brien JJ, Hudak AT, Goodrick S, Hiers JK (2020) Coupling terrestrial laser scanning with 3D fuel biomass sampling for advancing wildland fuels characterization. Forest Ecology and Management 462, 117945.
| Crossref | Google Scholar |
Ryan KC (2010) Effects of fire on cultural resources. In ‘VI International Conference on Forest Fire Research’. (Ed. D Viegas) (U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station) Available at https://www.fs.usda.gov/rm/pubs_other/rmrs_2010_ryan_k004.pdf
Ryan KC, Knapp EE, Varner JM (2013) Prescribed fire in North American forests and woodlands: history, current practice, and challenges. Frontiers in Ecology and the Environment 11, e15-e24.
| Crossref | Google Scholar |
Sagel D, Speer K, Pokswinski S, Quaife B (2021) Fine-scale fire spread in pine straw. Fire 4, 69.
| Crossref | Google Scholar |
Schumacher B, Melnik KO, Katurji M, Zhang J, Clifford V, Pearce HG (2022) Rate of spread and flaming zone velocities of surface fires from visible and thermal image processing. International Journal of Wildland Fire 31, 759-773.
| Crossref | Google Scholar |
Shannon CE (1949) Communication in the presence of noise. Proceedings of the IRE 37, 10-21.
| Crossref | Google Scholar |
Sikkink PG, Keane RE (2008) A comparison of five sampling techniques to estimate surface fuel loading in montane forests. International Journal of Wildland Fire 17, 363-379.
| Crossref | Google Scholar |
Smith AMS, Wooster MJ, Drake NA, Dipotso FM, Perry GLW (2005) Fire in African savanna: testing the impact of incomplete combustion on pyrogenic emissions estimates. Ecological Applications 15, 1074-1082.
| Crossref | Google Scholar |
Smith AMS, Tinkham WT, Roy DP, Boschetti L, Kremens RL, Kumar SS, Sparks AM, Falkowski MJ (2013) Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals. Geophysical Research Letters 40, 6298-6302.
| Crossref | Google Scholar |
Stephens SL, Finney MA, Schantz H (2004) Bulk density and fuel loads of ponderosa pine and white fir forest floors: impacts of leaf morphology. Northwest Science 78, 93-100.
| Google Scholar |
Valero MM, Verstockt S, Butler B, Jimenez D, Rios O, Mata C, Queen Ll, Pastor E, Planas E (2021) Thermal infrared video stabilization for aerial monitoring of active wildfires. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, 2817-2832.
| Crossref | Google Scholar |
Van Wagtendonk JW, Sydoriak WM, Benedict JM (1998) Heat content variation of Sierra Nevada conifers. International Journal of Wildland Fire 8, 147-158.
| Crossref | Google Scholar |
Varner JM, Gordon DR, Putz FE, Kevin Hiers J (2005) Restoring fire to long-unburned Pinus palustris ecosystems: novel fire effects and consequences for long-unburned ecosystems. Restoration Ecology 13, 536-544.
| Crossref | Google Scholar |
Waring KM, Hansen KJ, Flatley W (2016) Evaluating prescribed fire effectiveness using permanent monitoring plot data: a case study. Fire Ecology 12, 2-25.
| Crossref | Google Scholar |
Williams CJ, Pierson FB, Nouwakpo SK, Al-Hamdan OZ, Kormos PR, Weltz MA (2020) Effectiveness of prescribed fire to re-establish sagebrush steppe vegetation and ecohydrologic function on woodland-encroached sagebrush rangelands, Great Basin, USA: Part I: Vegetation, hydrology, and erosion responses. Catena 185, 103477.
| Crossref | Google Scholar |
Wooster MJ (2002) Small-scale experimental testing of fire radiative energy for quantifying mass combusted in natural vegetation fires. Geophysical Research Letters 29, 23-1.
| Crossref | Google Scholar |
Wooster MJ, Roberts G, Perry GLW, Kaufman YJ (2005) Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release. Journal of Geophysical Research: Atmospheres 110, D24311.
| Crossref | Google Scholar |
Wotton BM, Gould JS, McCaw WL, Cheney NP, Taylor SW (2012) Flame temperature and residence time of fires in dry eucalypt forest. International Journal of Wildland Fire 21, 270-281.
| Crossref | Google Scholar |
