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 …

Monitoring ephemeral and intermittent streams is a major challenge in hydrology. On-site
inspections may be impractical in difficult-to-access environments. Motivated by the latest …

Compared with traditional methods based on non-visual devices, the water level
measurement method based on computer vision has the advantages of low equipment …

Recently, increased attention has been devoted to intermittent and ephemeral streams
(IRES) due to the recognition of their importance for ecology, hydrology, and …

We investigate a deep transfer learning methodology to perform water segmentation and
water level prediction on river camera images. Starting from pre-trained segmentation …

Computer vision-based methods of water level measurement that utilize cameras to capture
and process images of water bodies and their surroundings are gaining attention due to …

Monitoring river water levels is essential for the study of floods and mitigating their risks.
River gauges are a well-established method for river water-level monitoring but many flood …

Floods are among the most devastating natural hazards in the world. With climate change
and growing urbanisation, floods are expected to become more frequent and severe in the …

Observations of catchment conditions are essential for many hydrometeorological
forecasting applications. Examples include measurements of water levels in rivers, lakes …

Water level variations influence the biochemical and hydrological processes within rivers.
Through extensive river camera networks, obtaining reliable water segmentations from …