Harmonising topographic & remotely sensed datasets, a reference dataset for shoreline and beach change analysis

Area of Science:

• Coastal Geomorphology
• Environmental Remote Sensing
• Geospatial Data Analysis

Background:

• Coastal systems face increasing risks due to climate change and erosion.
• Accurate monitoring of coastal change is crucial for effective management and protection strategies.
• Integrating diverse datasets enhances understanding of coastal dynamics.

Purpose of the Study:

• To present a novel reference dataset for North Norfolk, UK, by harmonizing coastal field-based topographic and remotely sensed data.
• To demonstrate the value of local-scale data harmonization for coastal research.
• To facilitate the use of topographic and remotely sensed coastal datasets for monitoring and forecasting.

Main Methods:

• Developing a robust method for shoreline extraction from vertical aerial photography, validated with LiDAR and topography surveys.
• Establishing a standard methodology for quantifying sediment volume change using spatially continuous LiDAR elevation data.
• Utilizing open-access UK Environment Agency datasets for data harmonization and analysis.

Main Results:

• A novel, harmonized reference dataset for North Norfolk, UK, integrating topographic and remote sensing data.
• Validated methodologies for shoreline extraction and sediment volume change quantification.
• Demonstration of enhanced insights into coastal dynamics through data harmonization.

Conclusions:

• Harmonized coastal datasets and robust methodologies are essential for advancing coastal change research.
• This approach provides a foundation for improved understanding and forecasting of coastal risks.
• The findings support evidence-based coastal management and protection efforts.