Fluvial Gravel Bar Grain Size Measurements from UAV Imagery

UAV images used for Structure-from-Motion model generation and grain size measurement. The dataset includes code for image processing and uncertainty estimation of grain size distributions, provided as Python files and Jupyter notebooks. It was created by David Mair from the University of Bern.

Use Cases

• Estimating uncertainty in grain size distributions based on segmentation methods described in the paper.
• Developing image processing pipelines for fluvial sediment analysis based on the provided Python code.
• Comparing grain size measurements from different UAV imagery sets (SI and OM) mentioned in the description.
• Documenting and reproducing geospatial analysis workflows using the executable Jupyter notebooks.

Strengths

• Includes executable Jupyter notebooks that serve as documentation for the analysis workflow.
• Provides both the UAV source imagery and the code for processing and uncertainty estimation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Bern

Collection Method

UAV imagery collection and subsequent image processing for grain size measurement.