The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
NOAA is responsible for archiving and distributing the source data as described in this metadata record.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
NOAA is responsible for archiving and distributing the source data as described in this metadata record.

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
NOAA is responsible for archiving and distributing the source data as described in this metadata record.

These data provide an accurate high-resolution shoreline compiled from imagery of Long Island Sound, Sound View to Pawcatuck River, NY-CT-RI . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog.

This project promoted access to drones for a wider community of users by transferring a protocol for drone-based wetland monitoring and evaluating its efficacy in assessing and monitoring emergent vegetation.

This project improved understanding of sediment dynamics around the Rachel Carson Reserve in North Carolina to inform ongoing resilience planning efforts for vulnerable coastal habitats and local infrastructure.

This collaborative bioacoustics research and education effort yielded one of the largest continuous recording data sets of rivers in the world, leading to important management, conservation, and education outcomes.

This project brought together oyster reef managers along the southeastern United States to evaluate the use of uncrewed aerial systems (UAS), or drones, as a novel tool for measuring changes in oyster reefs.

This large-scale, multi-site assessment of some of the oldest tidal marsh restoration projects in California, Oregon, and Washington provides insight into the development of marsh plant communities and blue carbon functions and demonstrates the value of long-term monitoring.

The Community Resilience Estimates track how socially vulnerable every neighborhood in the United States is to the impacts of a disaster. The Community Resilience Estimates use American Community Survey microdata, Population Estimates Program data, and Decennial Census data to measure the ability of individuals and households to absorb the external stresses of the impacts of a disaster.