Skip to main content

Resources

Resources

A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.

Displaying 31 - 40 of 40
Journal Article |

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

Journal Article |

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

Journal Article |

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.

Journal Article |

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.

Data |
About this resource

Mangroves and other habitats in Rookery Bay National Estuarine Research Reserve have been changing as a result of chronic stressors and severe hurricanes in recent years.

Journal Article |
Abstract

The joint probability method (JPM) is the traditional way to determine the base flood elevation due to storm surge, and it usually requires simulation of st

Data |

The Communities, Lands & Waterways Data Source is an encyclopedic compilation of all available data describing the socioeconomic and environmental conditions in the Coos Bay area.

Journal Article |

This article describes a 2013 Collaborative Research project in Exeter, NH that studied adaptive governance and climate change adaptation planning by evaluating stakeholder involvement in a local institutional setting.

Journal Article |

This paper, published in Biological Conservation, describes an innovative approach developed by the NERRS to evaluate the ability of tidal marshes to thrive as sea levels rise.

Data |

This code (R and MATLAB) can be used to analyze NERRS System-Wide Monitoring Program time series data.