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Collaborative Development of Novel Remote Sensing Workflows for Assessing Oyster Reef Structural and Demographic Characteristics to Inform Management and Restoration - NERRS/NSC(NERRS Science Collaborative)

Metadata Updated: November 27, 2025

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.

The Project Oyster reefs in the southeastern United States offer an abundance of ecosystem services and support both recreational and commercial fisheries. To protect and enhance oyster reefs, resource managers in the southeastern United States need accurate and timely information to guide decisions on fishery closures and restoration efforts. Oyster resource managers and NERR staff in FL, GA, SC, and NC often rely on conventional monitoring approaches to inform management and restoration decisions, but these approaches have limitations. For example, methods like boat-based surveys and in situ quadrat sampling are time consuming and limited by spatial scale.

To overcome these limitations, this project evaluated the use of uncrewed aerial systems (UAS), or drones, as a novel tool for measuring reef structural and demographic characteristics relevant to reef function. Building on a previous collaborative initiative (NERRS Science Collaborative 2020 Catalyst), this project brought together oyster resource managers and restoration practitioners across four states. Together, the team developed and refined workflows for using drones to monitor key oyster reef metrics of interest across the region. The workflows provide standard procedures for data collection, analyzing drone imagery and generating estimates of:

reef height and elevation; rugosity; reef footprint and area; shell substrate and oyster percent cover; shell volumetric change; and, oyster density and size structure. These workflows have built technical capacity for the use of drones at the Reserves and state resource agencies. Application of the workflows has demonstrated that drones offer the capability to collect accurate, high resolution remote sensing data across entire reefs at a fraction of the cost of traditional sampling approaches. Integrating drones with existing oyster reef assessment efforts is allowing managers to map and model oyster reef ecosystem function and services on a scale that was previously unachievable.

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Date November 21, 2025
Metadata Created Date November 27, 2025
Metadata Updated Date November 27, 2025
Reference Date(s) 2024-09 (creation), (revision), (publication)
Frequency Of Update asNeeded

Metadata Source

Harvested from NOS OCM

Additional Metadata

Resource Type Dataset
Metadata Date November 21, 2025
Metadata Created Date November 27, 2025
Metadata Updated Date November 27, 2025
Reference Date(s) 2024-09 (creation), (revision), (publication)
Responsible Party Office for Coastal Management (Custodian)
Contact Email
Guid gov.noaa.nmfs.inport:78650
Access Constraints Cite As: Office for Coastal Management, [Date of Access]: Collaborative Development of Novel Remote Sensing Workflows for Assessing Oyster Reef Structural and Demographic Characteristics to Inform Management and Restoration - NERRS/NSC(NERRS Science Collaborative) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/78650., Access Constraints: None, Use Constraints: Cite this dataset when used as a source: NOAA retains the right to analyze, synthesize and publish summaries of the NERRS/NSC data. The NERRS/NSC retains the right to be fully credited for having collected and process the data. Following academic courtesy standards, the NERR site where the data were collected should be contacted and fully acknowledged in any subsequent publications in which any part of the data are used. The data enclosed within this package/transmission are only as accurate as the quality assurance and quality control procedures that are described in the associated metadata reporting statement allow. The user bears all responsibility for its subsequent use/misuse in any further analyses or comparisons. The Federal government does not assume liability to the Recipient or third persons, nor will the Federal government reimburse or indemnify the Recipient for its liability due to any losses resulting in any way from the use of this data. Requested citation format: NOAA National Estuarine Research Reserve System (NERRS) Science Collaborative(NSC)., Distribution Liability: The distributor does not assume liability.
Bbox East Long -79.15
Bbox North Lat 33.375
Bbox South Lat 33.204
Bbox West Long -79.285
Coupled Resource
Frequency Of Update asNeeded
Harvest Object Id f462f1eb-0bdf-4973-9efb-7da3e3eeeec9
Harvest Source Id c0121fd9-df15-4168-ac04-42f6e36a794d
Harvest Source Title NOS OCM
Licence NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
Lineage This information is detailed within the project links.
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-79.285, 33.204], [-79.15, 33.204], [-79.15, 33.375], [-79.285, 33.375], [-79.285, 33.204]]]}
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 2022-10-01
Temporal Extent End 2024-09-01

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