Abstract
This paper presents a novel reference dataset for North Norfolk, UK, that demonstrates the value of harmonising coastal field-based topographic and remotely sensed datasets at local scales. It is hoped that this reference dataset and the associated methodologies will facilitate the use of topographic and remotely sensed coastal datasets, as demonstrated here using open-access UK Environment Agency datasets. Two core methodologies, used to generate the novel reference dataset, are presented. Firstly, we establish a robust approach to extracting shorelines from vertical aerial photography, validated against LiDAR (Light Detection and Ranging) and coastal topography surveys. Secondly, we present a standard methodology for quantifying sediment volume change from spatially continuous LiDAR elevation datasets. As coastal systems are monitored at greater spatial resolution and temporal frequency there is an unprecedented opportunity to determine how and why coastal systems have changed in the past with a view to informing future forecasting. With revelation of trends that suggest increasing coastal risk, coastal change research is needed to inform the management and protection of coasts.
Highlights
Background & SummaryIt is estimated that low-lying coastal environments comprise 2% of global land area whilst supporting >10% of the global population[1]
This paper addresses the need for consistency in the critical conversion from raw data to value through presenting a novel reference dataset and associated core methodological techniques which shed light on coastal system functioning
The novel dataset and associated methodologies presented here are validated on a local scale through an application to storm impact assessment at Scolt Head Island, a sandy/gravel barrier system located on the UK’s North Norfolk coast (Fig. 1)
Summary
It is estimated that low-lying coastal environments comprise 2% of global land area whilst supporting >10% of the global population[1]. Three primary datasets are handled: vertical aerial photography, LiDAR and coastal topography surveys (Table 1) These are standard data types that are already available in various forms in coastal locations globally. The novel dataset and associated methodologies presented here are validated on a local scale through an application to storm impact assessment at Scolt Head Island, a sandy/gravel barrier system located on the UK’s North Norfolk coast (Fig. 1). In this dataset production and validation study, all primary datasets were collected by the UK Environment Agency (EA) and are openly available.
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