Flooding is the most common natural hazard, leading to property damage, injuries, and
death. Despite the potential for major consequences, urban flooding remains difficult to …

As pioneering non-contact water level measurement technologies, both computer vision and
radar have effectively addressed challenges posed by traditional water level sensors in …

The analysis of topographic time series is often based on bitemporal change detection and
quantification. For 3D point clouds, acquired using laser scanning or photogrammetry …

Image‐based gauging stations can allow for significant densification of monitoring networks
of river water stages. However, thus far, most camera gauges do not provide the robustness …

An automatic workflow to measure surface flow velocities in rivers is introduced, including a
Python tool. The method is based on particle-tracking velocimetry (PTV) and comprises an …

Vision-based semantic segmentation of waterbodies and nearby related objects provides
important information for managing water resources and handling flooding emergency …

Existing water gauge reading approaches based on image analysis have problems such as
poor scene adaptability and weak robustness. Here, we proposed a novel water level …

Estimating river discharge requires simultaneous measurement of velocity and flow depth.
While surface velocities are relatively easy to measure using noncontact techniques, depth …

River-level estimation is a critical task required for the understanding of flood events and is
often complicated by the scarcity of available data. Recent studies have proposed to take …

Photogrammetric models have become a standard tool for the study of surfaces, structures
and natural elements. As an alternative to Light Detection and Ranging (LiDAR) …