This open-access article, published Geophysical Research Letters in 2020, uses turbidity observations to characterize estuary response following extreme discharge such as from storm-related flooding, which can be a proxy for sediment release from dam removals.

This article, submitted for publication to Earth Surface Processes and Landforms in 2020, describes findings from the Dams and Sediment in the Hudson (DaSH) project related to tidal wetland growth in the Hudson River estuary as a result of human activities. It presents sediment accumulation rates in marshes along the Hudson and reveals the rapid growth of marshes associated with anthropogenic structures.

This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project.

This factsheet summarizes findings from the Dams and Sediment in the Hudson (DaSH) collaborative research project related to sediment trapped behind dams and sediment supply in the Hudson River estuary

This factsheet summarizes findings from the Dams and Sediment in the Hudson collaborative research project related to tidal wetlands in the Hudson River estuary.

This article uses a hydrodynamic model of the Coos estuary in southwestern Orgeon to examine seasonal variability of salinity dynamics and estuarine exchange flow.

This article discusses changes to the Coos estuary over the past 150 years, and their present and future impacts.

This paper, published in Remote Sensing in 2020, describes a new satellite-based habitat mapping technique that was tested at Rookery Bay NERR in southwest Florida.

This summary brochure describes thin-layer placement (TLP) as a strategy for marsh resilience, and National Estuarine Research Reserve System research and recommendations for TLP use.

This paper, published in International Journal of Applied Earth Observation and Geoinformation, describes results of three different mangrove mapping methods to evaluate the impacts of Hurricane Irma, a Category 3 storm that affected southwest Florida in September of 2017. The approach was tested on a very high resolution WorldView-2 satellite image.