Aerial photogrammetry to characterise and numerically model an ice jam in Southern Quebec

Abstract

Collecting data on the dynamic breakup of a river's ice cover is a notoriously difficult task. However, such data are necessary to reconstruct the events leading to the formation of ice jams and calibrate numerical ice jam models. Photogrammetry using images from remotely piloted aircraft (RPA) is a cost-effective and rapid technique to produce large-scale orthomosaics and digital elevation maps (DEMs) of an ice jam. Herein, we apply RPA photogrammetry to document an ice jam that formed on a river in southern Quebec in the winter of 2022. Composite orthomosaics of the 2-km ice jam provided evidence of overbanking flow, hinge cracks near the banks and lengthy longitudinal stress cracks in the ice jam caused by sagging as the flow abated. DEMs helped identify zones where the ice rubble was grounded to the bed, thus allowing ice jam thickness estimates to be made in these locations. The datasets were then used to calibrate a one-dimensional numerical model of the ice jam. The model will be used in subsequent work to assess the risk of ice interacting with the superstructure of a low-level bridge in the reach and assess the likelihood of ice jam flooding of nearby residences. HIGHLIGHTS Photogrammetry datasets useful for calibrating 1D numerical river ice jam models.; Remotely sensed digital elevation models of grounded ice can provide estimates of ice jam thickness.; Remotely sensed large-scale orthomosaics provide insights into ice jam formation and evolution.;

Keywords

• ice-jam
• numerical modeling
• photogrammetry
• remotely piloted aircraft
• remote sensing
• river ice