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Journal of Flood Risk Management AbstractLong term planning for flood risk management in coastal and estuarine areas requires timely and reliable information on changes in land and sea levels. In this paper we describe how we have produced a detailed, high resolution map of current changes in land levels for the Thames region, and carried out a new assessment of the changes in sea level relative to the land along the Thames Estuary over the past few decades / past century. We conclude the paper by considering the potential benefits of extended monitoring for the long term planning of flood and coastal defences in that region.

UK coasts are subject to widespread erosion in part due to the cumulative effect of human intervention on soft coastlines, and further threatened due to more rapid change due to climate change, especially sea-level rise. At the same time, Shoreline Management now requires predictions of coastal evolution up to 100 years in the future. This leads to the challenge of predicting coastal geomorphic behaviour at the mesoscale (10 to 100 km and 10 to 100 years). Currently, this is often based on expert judgement. However, relevant components for mesoscale coastal simulation are emerging, including: (1) new methods for system-level analysis of coast, estuary and offshore landform behaviour, which include engineering and management interventions in a consistent manner to natural drivers; (2) well validated ‘bottom-up’ hydrodynamic and sediment transport models such as POLCOMS and TELEMAC; (3) operational ‘reduced complexity models’ of selected coastal landforms (e.g., cliffs (SCAPE), estuaries (ASMITA), saltmarsh (SLAMM)); and (4) growing observational datasets that allow data-driven approaches to coastal analysis and prediction. The iCOASST Project will use these components to develop and apply an integrated systems modelling framework for mesoscale coastal simulation as explained in this paper.

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Monitoring flood defence condition is a critical part of the effective management of flood defence infrastructure. In this study, the use of remotely sensed data to identify indicators of weakness, deterioration, and damage is explored. Such indicators are often tell‐tale signs of processes that can lead to flood defence failure and breaching. Sources of data and the techniques to analyse those data are discussed and a framework is developed that links data sources to indicators of flood defence performance. A range of examples are presented that highlight both the value and limitations of bringing together multiple sources of data such as Light Detection and Ranging and historical mapping to supplement visual inspection assessments. The paper concludes that nationally available sources of remotely sensed data can be used to supplement existing visual condition inspection procedures to help prioritise and programme maintenance and repair work.