Research

This paper focusses on how assimilating observed flood extents from remote sensing into Flood Foresight outputs could improve predicted flood extents.

Research led by JBA, with contributions from academic partners, into the potential for open science, open data and open code concepts in operational flood hydrology.

This study builds on existing research into the importance of retention times in Natural Flood Management to provide guidance on designing effective retention schemes. This includes the development of a spreadsheet tool for retention times.

The latest in a series of papers by David Archer and colleagues at JBA and Newcastle University, this paper explores a type of flood that can pose a danger to life and improvements that could be made to monitoring, flood estimation and forecasting.

This report identifies resources and methodologies for safeguarding heritage sites against climate change impacts. Highlighting available tools, information gaps, and the need for accessible solutions tailored to diverse stakeholders. It underscores Historic England's critical role in leading resilience efforts by informing, assessing risks, and promoting collaboration and knowledge sharing within the heritage sector.

This study uses Sentinel-2 and UAV data to map plant fractional cover in coastal meadows. Combining vegetation indices with digital elevation models improves prediction accuracy, aiding in ecosystem management and conservation