The State-of-Play
Shoreline modelling is a critical tool used for coastal engineering projects. Accurate, spatial insight on historical shoreline movement and future sediment patterns is required to build structures in the right way, right place, and to proactively maintain and operate where there are acute physical risks.
There are a number of models, methods and approaches to shoreline modelling - each with their own pros and cons depending on the context. Ocean Ledger's Shoreline Modelling Tool was built to leverage the latest advances in earth observation, machine learning and coastal modelling to overcome challenges of existing solutions and complement finer-scale, in-house expertise & site surveys.
How Ocean Ledger Is Revolutionising Shoreline Modelling
- Globally applicable but locally adapted: Our robust methods are built to ensure standardise outputs that can be applied globally, but every analysis is constructed with high quality, locally-adapted data (remote sensing & site-level)
- Holistic geomorphic assessment: We go beyond shoreline movement, taking into account underwater topography and natural defenses (underwater & above-water ecosystems) to generate a next-generation shoreline movement model, accounting for both horizontal and vertical changes in shoreline structure. This ensures you cover every potential risks and opportunities for adaptation
- Full-Service geospatial insights: We take care of everything from data aggregation, processing, ML and modelling so you can free up time and budget to focus on informed decisions for your client
- Flexible Inputs, Always Insightful Outputs: Our methods are agnostic to the source imagery utilised letting us seamlessly operate across historical, contemporary, and future image sources, with resolutions tailored to providing the best solutions for the problem at hand
Step 1: Select your area of interest(s)
Time span (historical and forecasting period)
- Resolution
- Data layers (ecosystem extent, bathymetry, shoreline)
- Advanced insights (hotspot detection, forecasts)
Step 2: Receive shoreline hotspot analysis in dashboard with accuracy & spatial uncertainties for each data layer
Step 3: Pre or post-calibrate with site survey data
Step 4: Assess & compare with other models (i.e CoastSat) & internal methods - target & forecasts interventions
Step 5: Download Project Insight Report, set update period (monthly, seasonal, annual) and automated alerts for hazardous events, anomaly detection & climate data thresholds
