Dataset Overview | National Centers for Environmental Information (NCEI)

NCCOS Assessment: Orthoimagery, vegetation, and sediment characteristics in Susquehanna River, Chesapeake Bay on 20230516 (NCEI Accession 0303869)

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This dataset contains imagery, GPS coordinates, elevation data, types of vegetation, and sediment characteristics collected from Fishing Battery Island. This island was revisited to evaluate long-term performance post-restoration. The data collected for assessment is stored in one .tif file and three .csv files. The .tif file consists of an ortho mosaic image, captured using a DJI Phantom 4 Pro drone. The .csv files contain detailed gps data, observed vegetation, and sediment core information, including bulk density and percent carbon. The Trimble R12 GNSS System was utilized to capture the GPS data for types of vegetation, sediment cores, ground control points (used for georeferencing drone imagery), and the topography of the island. A total of three sediment cores were extracted by driving a 7 cm diameter polycarbonate tube into the ground. Sediment cores were further analyzed at the lab to determine sediment characteristics. To determine bulk density, the cores were sectioned into 5cm intervals and dried. The dried section was weighed and bulk density was calculated using weight divided by volume. The dried sediment was subsampled to measure percent carbon with a Perkin Elmer 2400 series II CHNS/O elemental analyzer. More information on this site can be found here: https://arcg.is/08Oirb0

Dataset Citation

Cite as: Davis, Jenny; LeClaire, Alyssa; Bost, Molly; Gianelli, Ryan; Walker, Quentin (2025). NCCOS Assessment: Orthoimagery, vegetation, and sediment characteristics in Susquehanna River, Chesapeake Bay on 20230516 (NCEI Accession 0303869). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/msyz-1t72. Accessed [date].

Dataset Identifiers

ISO 19115-2 Metadata

gov.noaa.nodc:0303869

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Download Data	HTTPS (download) Navigate directly to the URL for data access and direct download. FTP (download) These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP).
Distribution Formats	CSV GeoTIFF
Ordering Instructions	Contact NCEI for other distribution options and instructions.
Distributor	NOAA National Centers for Environmental Information +1-301-713-3277 ncei.info@noaa.gov
Dataset Point of Contact	NOAA National Centers for Environmental Information ncei.info@noaa.gov

Time Period	2023-05-16 to 2023-05-16
Spatial Bounding Box Coordinates	West: -76.086108 East: -76.080644 South: 39.492642 North: 39.4959
Spatial Coverage Map

General Documentation	NCEI Dataset Landing Page Navigate directly to the URL for a descriptive web page with download links. Descriptive Information Navigate directly to the URL for a descriptive web page with download links.
Associated Resources	Marsh Islands: Evaluatin Performance of Existing Natural Infrastructure Storymap https://arcg.is/08Oirb0 Project Storymap NCCOS Project: Evaluating the Performance of Nature-Based Solutions. https://coastalscience.noaa.gov/project/evaluating-nature-based-solution-performance/ https://coastalscience.noaa.gov/project/evaluating-nature-based-solution-performance/ Project Page

Publication Dates	publication: 2025-05-05 creation: 2025-04-28
Data Presentation Form	Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status	Complete - production of the data has been completed Historical archive - data has been stored in an offline storage facility
Data Update Frequency	As needed
Purpose	The purpose of collecting this data is to evaluate a historical marsh island and assess performance to optimize future site selection and design.
Use Limitations	accessLevel: public Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.

Dataset Citation	Cite as: Davis, Jenny; LeClaire, Alyssa; Bost, Molly; Gianelli, Ryan; Walker, Quentin (2025). NCCOS Assessment: Orthoimagery, vegetation, and sediment characteristics in Susquehanna River, Chesapeake Bay on 20230516 (NCEI Accession 0303869). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/msyz-1t72. Accessed [date].
Cited Authors	Davis, Jenny NOAA National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment (NCCOS/CCMA) LeClaire, Alyssa NOAA National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment (NCCOS/CCMA) Bost, Molly NOAA National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment (NCCOS/CCMA) Gianelli, Ryan NOAA National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment (NCCOS/CCMA) Walker, Quentin NOAA National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment (NCCOS/CCMA)
Principal Investigators	jenny davis US DOC/NOAA/NOS/NCCOS/Center for Coastal Monitoring and Assessment (NCCOS/CCMA)
Contributors	US DOC/NOAA/NOS/NCCOS/Center for Coastal Monitoring and Assessment (NCCOS/CCMA)
Resource Providers	Alyssa LeClaire NOAA National Centers for Coastal Ocean Science (NCCOS) NOAA National Centers for Coastal Ocean Science (NCCOS)
Points of Contact	NCCOS Data Manager NOAA National Centers for Coastal Ocean Science (NCCOS)
Publishers	NOAA National Centers for Environmental Information

Theme keywords	NODC DATA TYPES THESAURUS biological data CARBON CORE - BOTTOM CORE - BULK DENSITY SEDIMENT PROPERTIES SEDIMENTS - TOTAL CARBON SPECIES IDENTIFICATION Vegetation Cover NODC OBSERVATION TYPES THESAURUS in situ laboratory analyses WMO_CategoryCode oceanography Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > BIOLOGICAL CLASSIFICATION EARTH SCIENCE > BIOSPHERE > VEGETATION > VEGETATION COVER EARTH SCIENCE > OCEANS > MARINE SEDIMENTS EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON Provider Keywords Average % Carbon Bottom core interval Bulk Density Collection Date Core ID Easting Elevation GPS Point Name Northing Ortho Image Point Code Top core interval Vegetation: Common Name Vegetation: Scientific Name
Data Center keywords	NODC COLLECTING INSTITUTION NAMES THESAURUS US DOC/NOAA/NOS/NCCOS/Center for Coastal Monitoring and Assessment NODC SUBMITTING INSTITUTION NAMES THESAURUS NOAA National Centers for Coastal Ocean Science Global Change Master Directory (GCMD) Data Center Keywords DOC/NOAA/NOS/NCCOS > National Centers for Coastal Ocean Science, National Ocean Service, NOAA, U.S. Department of Commerce
Platform keywords	Global Change Master Directory (GCMD) Platform Keywords UAV > Unmanned Aerial Vehicle
Instrument keywords	NODC INSTRUMENT TYPES THESAURUS camera CHN Analyzer GPS sediment sampler - corer sediment sieve Global Change Master Directory (GCMD) Instrument Keywords CAMERA > CAMERA CHN ANALYZERS > Carbon, Hydrogen, Nitrogen Analyzers GPS RECEIVERS > GPS RECEIVERS GRANULOMETRIC SIEVES SEDIMENT CORERS > SEDIMENT CORERS Provider Instruments DJI Phantom 4 Pro RTK Trimble R12 GNSS System core tube drying oven human ruler
Place keywords	NODC SEA AREA NAMES THESAURUS Chesapeake Bay Global Change Master Directory (GCMD) Location Keywords OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN Provider Place Names Susquehanna River, Chesapeake Bay
Keywords	NCEI ACCESSION NUMBER 0303869
Keywords	Send2NCEI Submission Package ID 08J6YB

Use Constraints	Cite as: Davis, Jenny; LeClaire, Alyssa; Bost, Molly; Gianelli, Ryan; Walker, Quentin (2025). NCCOS Assessment: Orthoimagery, vegetation, and sediment characteristics in Susquehanna River, Chesapeake Bay on 20230516 (NCEI Accession 0303869). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/msyz-1t72. Accessed [date].
Data License	This dataset has been dedicated to the public domain under the Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication. SPDX License: Creative Commons Zero v1.0 Universal (CC0-1.0)
Access Constraints	Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees	In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.

Lineage information for: dataset
Processing Steps	2025-05-05T15:06:49Z - NCEI Accession 0303869 v1.1 was published.
Output Datasets	NCEI Accession 0303869 v1.1 NCEI Accession 0303869 v1.1 (download) published 2025-05-05T15:06:49Z

Lineage information for: dataset
Processing Steps	Parameter or Variable: Ortho Image (measured); Units: pixels; Observation Category: in situ; Sampling Instrument: DJI Phantom 4 Pro RTK; Sampling and Analyzing Method: A DJI Phantom 4 Pro RTK was flown at 60m altitude at a flight speed of 4 m/s covering an area of 18.5 acres. Ground sampling distance for the drone imagery was calculated to be 1.54 cm/pixel resolution. 159 images were taken with 75% overlap/sidelap and used to create an RGB orthomosaic of the field site. 16 ground control points were placed throughout the site and used to create a digital elevation model.; Data Quality Method: Ground control points. Parameter or Variable: GPS Point Name (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Names were recorded with the Trimble unit. The point names include three types of points: core_#, veg_#, fb_bike_#.; Data Quality Method: Repeat shots on nearby benchmark Parameter or Variable: Collection Date (measured); Units: mm/dd/yyyy; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Date recorded when point was shot on Trimble unit.; Data Quality Method: Repeat shots on nearby benchmark Parameter or Variable: Northing (measured); Units: m, UTM 18N; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Walking/Biking Survey, 3 seconds shots; Data Quality Method: Repeat shots on nearby benchmark Parameter or Variable: Easting (measured); Units: m, UTM 18N; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Walking/Biking Survey, 3 seconds shots; Data Quality Method: Repeat shots on nearby benchmark Parameter or Variable: Elevation (measured); Units: m NAVD88; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Walking/Biking Survey, 3 seconds shots; Data Quality Method: Repeat shots on nearby benchmark Parameter or Variable: Point Code (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: The point code helps categorize what the gps references and will be used for. The point code options are: bike_topo, core, GCP, and veg. The bike_topo includes points collected while rolling the GPS reciever around with a bike to continuously collect points to measure the islands topography. The core locations were saved under the point code: "core." The code "GCP"= ground control points. These gcp points were used to validate elevation data collected with the drone. The veg points are associated with vegetative observations/ species identification at that location.; Data Quality Method: not applicable Parameter or Variable: Core ID (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: core tube; Sampling and Analyzing Method: The core identification included the site name (fb= fishing battery), relative elevation (high, mid, or low), and a descriptor (native, middle, panicum, or 3).; Data Quality Method: not applicable Parameter or Variable: Top core interval (measured); Units: centimeter; Observation Category: laboratory analysis; Sampling Instrument: ruler; Sampling and Analyzing Method: Each core was sliced into 5 centimeter increments along the total length of the core. This number represents the depth of the top of the interval/section.; Data Quality Method: not applicable Parameter or Variable: Bottom core interval (measured); Units: centimeter; Observation Category: laboratory analysis; Sampling Instrument: ruler; Sampling and Analyzing Method: Each core was sliced into 5 centimeter increments along the total length of the core. This number represents the depth of the bottom of the interval/section; Data Quality Method: not applicable Parameter or Variable: Bulk Density (measured); Units: grams per centimeter cubed; Observation Category: laboratory analysis; Sampling Instrument: drying oven; Sampling and Analyzing Method: 5cm core intervals were dried in an oven at 60C then weighed. The dry weight was divided by the core section volume to determine bulk density.; Data Quality Method: Calibrated scale Parameter or Variable: Average % Carbon (measured); Units: percentage; Observation Category: laboratory analysis; Sampling Instrument: CHN Analyzer; Sampling and Analyzing Method: A subsample of each core section was ground into a powder. The ground powder was weighed out, wrapped in aluminum tins, and run through the elemental analyzer. The percent carbon of each core section was determined by the elemental analyzer. Duplicate samples were run for each interval and the average of the two was taken to determine % carbon.; Data Quality Method: Duplicate samples Parameter or Variable: Vegetation: Common Name (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: human; Sampling and Analyzing Method: Using a local guidebook, vegetation was identified and recorded.; Data Quality Method: not applicable Parameter or Variable: Vegetation: Scientific Name (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: human; Sampling and Analyzing Method: Using a local guidebook, vegetation was identified and recorded.; Data Quality Method: not applicable

Lineage information for: dataset

Processing Steps

Parameter or Variable: Ortho Image (measured); Units: pixels; Observation Category: in situ; Sampling Instrument: DJI Phantom 4 Pro RTK; Sampling and Analyzing Method: A DJI Phantom 4 Pro RTK was flown at 60m altitude at a flight speed of 4 m/s covering an area of 18.5 acres. Ground sampling distance for the drone imagery was calculated to be 1.54 cm/pixel resolution. 159 images were taken with 75% overlap/sidelap and used to create an RGB orthomosaic of the field site. 16 ground control points were placed throughout the site and used to create a digital elevation model.; Data Quality Method: Ground control points.
Parameter or Variable: GPS Point Name (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Names were recorded with the Trimble unit. The point names include three types of points: core_#, veg_#, fb_bike_#.; Data Quality Method: Repeat shots on nearby benchmark
Parameter or Variable: Collection Date (measured); Units: mm/dd/yyyy; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Date recorded when point was shot on Trimble unit.; Data Quality Method: Repeat shots on nearby benchmark
Parameter or Variable: Northing (measured); Units: m, UTM 18N; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Walking/Biking Survey, 3 seconds shots; Data Quality Method: Repeat shots on nearby benchmark
Parameter or Variable: Easting (measured); Units: m, UTM 18N; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Walking/Biking Survey, 3 seconds shots; Data Quality Method: Repeat shots on nearby benchmark
Parameter or Variable: Elevation (measured); Units: m NAVD88; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: Walking/Biking Survey, 3 seconds shots; Data Quality Method: Repeat shots on nearby benchmark
Parameter or Variable: Point Code (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: Trimble R12 GNSS System; Sampling and Analyzing Method: The point code helps categorize what the gps references and will be used for. The point code options are: bike_topo, core, GCP, and veg. The bike_topo includes points collected while rolling the GPS reciever around with a bike to continuously collect points to measure the islands topography. The core locations were saved under the point code: "core." The code "GCP"= ground control points. These gcp points were used to validate elevation data collected with the drone. The veg points are associated with vegetative observations/ species identification at that location.; Data Quality Method: not applicable
Parameter or Variable: Core ID (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: core tube; Sampling and Analyzing Method: The core identification included the site name (fb= fishing battery), relative elevation (high, mid, or low), and a descriptor (native, middle, panicum, or 3).; Data Quality Method: not applicable
Parameter or Variable: Top core interval (measured); Units: centimeter; Observation Category: laboratory analysis; Sampling Instrument: ruler; Sampling and Analyzing Method: Each core was sliced into 5 centimeter increments along the total length of the core. This number represents the depth of the top of the interval/section.; Data Quality Method: not applicable
Parameter or Variable: Bottom core interval (measured); Units: centimeter; Observation Category: laboratory analysis; Sampling Instrument: ruler; Sampling and Analyzing Method: Each core was sliced into 5 centimeter increments along the total length of the core. This number represents the depth of the bottom of the interval/section; Data Quality Method: not applicable
Parameter or Variable: Bulk Density (measured); Units: grams per centimeter cubed; Observation Category: laboratory analysis; Sampling Instrument: drying oven; Sampling and Analyzing Method: 5cm core intervals were dried in an oven at 60C then weighed. The dry weight was divided by the core section volume to determine bulk density.; Data Quality Method: Calibrated scale
Parameter or Variable: Average % Carbon (measured); Units: percentage; Observation Category: laboratory analysis; Sampling Instrument: CHN Analyzer; Sampling and Analyzing Method: A subsample of each core section was ground into a powder. The ground powder was weighed out, wrapped in aluminum tins, and run through the elemental analyzer. The percent carbon of each core section was determined by the elemental analyzer. Duplicate samples were run for each interval and the average of the two was taken to determine % carbon.; Data Quality Method: Duplicate samples
Parameter or Variable: Vegetation: Common Name (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: human; Sampling and Analyzing Method: Using a local guidebook, vegetation was identified and recorded.; Data Quality Method: not applicable
Parameter or Variable: Vegetation: Scientific Name (measured); Units: not applicable; Observation Category: in situ; Sampling Instrument: human; Sampling and Analyzing Method: Using a local guidebook, vegetation was identified and recorded.; Data Quality Method: not applicable

Acquisition Information (collection)
Instrument	camera CHN Analyzer GPS sediment sampler - corer sediment sieve

Last Modified: 2026-06-08T13:18:39Z
For questions about the information on this page, please email: ncei.info@noaa.gov

NCCOS Assessment: Orthoimagery, vegetation, and sediment characteristics in Susquehanna River, Chesapeake Bay on 20230516 (NCEI Accession 0303869)

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