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geoSieve
Efficiently transform field imagery into reliable sediment grain size data.
What Problem gioSieve Helps Solve
Sediment data collection is time-intensive, limited in coverage, disruptive to the environment, and often constrained by site access and site conditions. geoSieve addresses these challenges by using imagery and AI to replace or supplement traditional sampling, enabling broader coverage, less disruption to the environment, and more efficient analysis.
How gioSieve Creates Value for Clients
geoSieve uses AI to extract grain size information from imagery, enabling rapid, scalable sediment analysis without the need for extensive field sampling. Using adaptive field methods including a proprietary boat-mounted camera and laser capture system, geoSieve establishes precise spatial benchmarks across variable water depths, ensures accurate, georeferenced datasets. Clients gain significantly broader spatial coverage, faster turnaround times, and more consistent results to support engineering and environmental decision-making.
Driving Better Decisions
With high-resolution sediment data available earlier in the project lifecycle, teams can make more informed decisions around design, habitat restoration, and risk management.
Benefits
Faster Data Collection and Processing
Automates grain size analysis from imagery, significantly reducing manual field effort.
Advanced Data Visualization and Editing Tools
Provides geomorphologists with powerful, interactive tools to correct underwater images for distortion and review and adjust segmentation parameters.
Improved Safety in Challenging Environments
Enables analysis in fast-moving or hard-to-access locations without direct sampling.
High-Resolution Spatial Insights
Generates continuous, georeferenced datasets rather than isolated sample points.
Consistent, Repeatable Results
Applies AI-driven workflows to reduce variability associated with manual methods.
Enhanced Environmental Understanding
Supports habitat assessment and sediment characterization for ecological and engineering studies.
Integration with Modeling Workflows
Feeds directly into hydrodynamic, sediment transport, and geomorphology analyses.