Across the world, coastal erosion threatens infrastructure, ecosystems, and cultural heritage sites. To help address this problem, QuasiScience built an intelligent system capable of detecting, analysing, and predicting erosion patterns by combining satellite imagery with historical weather and ocean data to highlight high-risk areas, identify where erosion was likely to progress fastest, and prioritise locations requiring intervention.

Coastal zones provide ecological and socioeconomic services but sea-level-rise will worsen coastal erosion and the cost of inaction is substantial.

— World Bank, 2023

Cost of Erosion

The costs of coastal erosion are vast - not just financially, but also environmentally and culturally. Annual losses to housing, transport infrastructure, biodiversity, and heritage sites are escalating across Europe. Yet most monitoring remains reactive: decision-makers frequently intervene only after erosion is visibly advanced or damage has already occurred.

As part of QuasiScience’s programme of environmentally-friendly research, we decided to build an early-warning intelligence platform capable of predicting erosion risk before critical thresholds are reached.

Next-Gen Solutions

We built a technical prototype focused on modelling shoreline change drivers with precision and scalability. It featured:

• Satellite Imagery Analysis: Multi-temporal shoreline extraction to detect long-term regression patterns and sediment movement.
• Historical Weather & Climate Integration: Including data on wind, wave energy, storm frequency, tidal cycles, precipitation and seasonal variability.
• CFD-Based Coastal Dynamics Simulation: Modelling how water movement, storm surges and local topography accelerate or slow erosion.
• Predictive Erosion Risk Modelling: Combining imagery, climate data and hydrodynamic simulations to forecast where problems are most likely to emerge.

The framework can support governments, insurers and ecological agencies with a forward-looking tool to predict high-risk erosion zones.

As climate-related risk rises, tools like this that merge satellite intelligence, climate history and physics-based modelling will become essential for national resilience planning.