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

This research explores how and why to include physical variables as covariates in statistical models of flood frequency. It also develops and illustrates methods for extracting flow estimates from such models so that practitioners can obtain useful results.

This paper provides a better understanding of which risks could benefit from a spatial perspective in CCRA4-IA. Although the impacts of climate change and the effectiveness of adaptation measures are geography dependent, the benefits of a risk assessment vary by risk. This is due to the nature of the risk, dataset availability and/or analytical capability.

JBA authors contributed to this work led by Newcastle University. The research details Important findings about rainfall profiles used for design of drainage infrastructure, flood defences and dams.

This paper explores the influence of how climate change pathway assumptions effect the economic appraisal and prioritisation of flood projects. We focus on flood hydrology assumptions and use anonymised case studies to demonstrate the possible effects. The paper shows how hydrology has a strong influence on economic appraisal with climate change.

A report on cross-programme research to bring together findings using common metrics by teams at Lancaster University, University of Manchester, University of Reading and JBA Consulting working on the effectiveness of Natural Flood Management (i.e., Nature-based Solutions for reducing flood peaks) within the United Kingdom.