Georeferencing Oblique Aerial Wildfire Photographs: An Untapped Source of Fire Behaviour Data

• Published in: Fire (Basel, Switzerland) Vol. 4; no. 4; p. 81
• Main Authors: Hart, Henry, Perrakis, Daniel D. B., Taylor, Stephen W., Bone, Christopher, Bozzini, Claudio
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2021
• Subjects: Accuracy; Aerial photography; Algorithms; Calibration; Cameras; Errors; Estimates; fire behaviour; Geographic information systems; Growth models; Image quality; Incidence angle; monophotogrammetry; Photogrammetry; rate of spread; remote sensing; Software; wildfire modelling; Wildfires; WSL monoplotting tool; British Columbia Canada; Canada
• ISSN: 2571-6255; 2571-6255
• DOI: 10.3390/fire4040081

In this study, we investigate a novel application of the photogrammetric monoplotting technique for assessing wildfires. We demonstrate the use of the software program WSL Monoplotting Tool (MPT) to georeference operational oblique aerial wildfire photographs taken during airtanker response in the early stages of fire growth. We located the position of the fire front in georeferenced pairs of photos from five fires taken 31–118 min apart, and calculated the head fire spread distance and head fire rate of spread (HROS). Our example photos were taken 0.7 to 4.7 km from fire fronts, with camera angles of incidence from −19° to −50° to image centre. Using high quality images with detailed landscape features, it is possible to identify fire front positions with high precision; in our example data, the mean 3D error was 0.533 m and the maximum 3D error for individual fire runs was less than 3 m. This resulted in a maximum HROS error due to monoplotting of only ~0.5%. We then compared HROS estimates with predictions from the Canadian Fire Behavior Prediction System, with differences mainly attributed to model error or uncertainty in weather and fuel inputs. This method can be used to obtain observations to validate fire spread models or create new empirical relationships where databases of such wildfire photos exist. Our initial work suggests that monophotogrammetry can provide reproducible estimates of fire front position, spread distance and rate of spread with high accuracy, and could potentially be used to characterize other fire features such as flame and smoke plume dimensions and spotting.