Eliisa Lotsari

This paper is dedicated to an automated detection of geomorphological changes in photogrammetric 4D point clouds, which are acquired using low-cost wildlife cameras at a subarctic riverbank. In these regions, a better understanding of complex erosion processes is required for modelling sediment dynamics and to understand climate change effects. Therefore, a spatiotemporally detailed dataset was collected with two-hourly images from four cameras over six months (approx. 900 epochs).

2D hydrodynamic models deepen the understanding of hydromorphological processes in fluvial systems. UAV (Unoccupied Aerial Vehicles) can record complementary calibration and validation data for these models of large areas. In this study, we created a 2D hydrodynamic model of the Pulmanki River in Northern Finland under shallow, open-channel conditions based on three calibration sets. We examined the potential of UAV-flow velocities for model validation.

1 INTRODUCTION Hydrodynamic modelling can provide meaningful scenarios for water resources management and allow the assessment of interactions between hydromorphological processes and landforms (Blanckaert, 2018; Mosselman, 2005). Increasing the modelling accuracy and capacity over larger areas promotes the knowledge of ongoing dynamics, which is particularly important for the prediction of events with extreme magnitude, i.e., flash floods.