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Data Set Info
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Spatial Info
Access Info
Distribution Info
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Data Quality
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Catalog Details

Summary

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Short Citation
OCM Partners, 2024: 2016 NYSGPO Lidar DEM: Allegany and Steuben Counties, NY, https://www.fisheries.noaa.gov/inport/item/65211.
Full Citation Examples

Abstract

Product: These are Digital Elevation Model (DEM) data for Allegany and Steuben County, New York as part of the required deliverables for the 2016 Allegany and Steuben County Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM.

Geographic Extent: Allegany and Steuben County, New York, covering approximately 1,316 square miles.

Dataset Description: Allegany and Steuben County, New York 2016 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 1516 individual 1500 m x 1500 m tiles, as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema.

Ground Conditions: Lidar was collected in early 2016, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, New York Office of Information Technology Services established a total of 26 ground control points that were used to calibrate the lidar to known ground locations established throughout the Allegany and Steuben County, New York project area. An additional 111 independent accuracy checkpoints, 61 in Bare Earth and Urban landcovers (61 NVA points). Please note that 3 of the 61 total NVA point were excluded from the solution due to being outside of the LiDAR coverage area. 50 in Tall Grass and Brushland/Low Trees categories (50 VVA points) were used to assess the vertical accuracy of the data. Please note that 2 VVA points out of the 50 collected were excluded due to being outside of the collection area. These checkpoints were not used to calibrate or post process the data.

In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

Distribution Information

  • Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

  • GeoTIFF

    Bulk download of data files in GeoTiff format.

Access Constraints:

None

Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Controlled Theme Keywords

COASTAL BATHYMETRY, COASTAL ELEVATION, elevation, TERRAIN ELEVATION

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-78.108996° W, -77.034467° E, 42.594293° N, 41.978805° S

Time Frame 1
2016-03-30 - 2016-05-18

Item Identification

Title: 2016 NYSGPO Lidar DEM: Allegany and Steuben Counties, NY
Status: Completed
Creation Date: 2016
Abstract:

Product: These are Digital Elevation Model (DEM) data for Allegany and Steuben County, New York as part of the required deliverables for the 2016 Allegany and Steuben County Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM.

Geographic Extent: Allegany and Steuben County, New York, covering approximately 1,316 square miles.

Dataset Description: Allegany and Steuben County, New York 2016 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. Lidar data was delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files, formatted to 1516 individual 1500 m x 1500 m tiles, as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema.

Ground Conditions: Lidar was collected in early 2016, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, New York Office of Information Technology Services established a total of 26 ground control points that were used to calibrate the lidar to known ground locations established throughout the Allegany and Steuben County, New York project area. An additional 111 independent accuracy checkpoints, 61 in Bare Earth and Urban landcovers (61 NVA points). Please note that 3 of the 61 total NVA point were excluded from the solution due to being outside of the LiDAR coverage area. 50 in Tall Grass and Brushland/Low Trees categories (50 VVA points) were used to assess the vertical accuracy of the data. Please note that 2 VVA points out of the 50 collected were excluded due to being outside of the collection area. These checkpoints were not used to calibrate or post process the data.

In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

Purpose:

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, 3D breaklines, hydro-flattened DEMs as necessary.

Supplemental Information:

USGS Contract No. G16AC00068 CONTRACTOR: New York Office of Information Technology Services. SUBCONTRACTOR: Axis Geospatial, LLC Lidar data were acquired and calibrated by Axis GeoSpatial, LLC. All follow-up processing was completed by the prime contractor. This material is based upon work supported by the Natural Resources Conservation Service, U.S. Department of Agriculture, under number 68-2C31-15-501.Raster File Type = IMGBit Depth/Pixel Type = 32-bit floatRaster Cell Size = 1 MeterInterpolation or Resampling Technique = Triangulated Irregular NetworkRequired Vertical Accuracy = 19.6 cm NVA

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None beach
None DEM
None erosion

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW YORK
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
Entity Attribute Detail Citation:

Overall Project Metadata

Distribution Liability:

The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose.

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.

Data Set Credit: New York Office of Information Technology Services

Support Roles

Data Steward

CC ID: 1079795
Date Effective From: 2021
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 1079794
Date Effective From: 2021
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 1079796
Date Effective From: 2021
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 1079797
Date Effective From: 2021
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1295663
W° Bound: -78.108996
E° Bound: -77.034467
N° Bound: 42.594293
S° Bound: 41.978805

Extent Group 1 / Time Frame 1

CC ID: 1295662
Time Frame Type: Range
Start: 2016-03-30
End: 2016-05-18

Spatial Information

Spatial Resolution

Horizontal Distance: 1.0 Meter
Vertical Distance: 1.0 Meter

Spatial Representation

Representations Used

Grid: Yes

Reference Systems

Reference System 1

CC ID: 1295660

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1295659

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6347
EPSG Name: NAD83(2011) / UTM zone 18N
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and custom downloads.

Data Access Constraints:

None

Data Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Distribution Information

Distribution 1

CC ID: 1079798
Start Date: 2021-08-25
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9353/details/9353
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1079799
Start Date: 2021-08-25
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/NY_Alleg_Steuben_DEM_2016_9353/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in GeoTiff format.

File Type (Deprecated): GeoTIFF
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 1079800
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

URL 2

CC ID: 1079801
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9346/supplemental/ny2016_alg_steub_m9346.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 1079818
URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9346/details/9346
Name: Custom Point Download
URL Type:
Online Resource
File Resource Format: Zip
Description:

Link to custom download, from the Data Access Viewer (DAV), the lidar point data from which these raster Digital Elevation Model (DEM) data were created.

Data Quality

Horizontal Positional Accuracy:

Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital GeoSpatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.005 degrees at an altitude of 1830 m; the expected radial horizontal positional error will be RMSEr = 0.29 m.

Vertical Positional Accuracy:

The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways:

1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the “bare earth” and "urban" land cover classes. This is a required accuracy. The NVA was tested with 58 checkpoints located in bare earth and urban (non-vegetated) areas.

2. Vegetated Vertical Accuracy (VVA): VVA shall be reported for "brushlands/low trees" and "tall weeds/crops" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 48 checkpoints located in tall weeds/crops and brushlands/low trees (vegetated) areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies.

AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.

Tested 0.153 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the DEM was calculated using 58 independent checkpoints located in the Bare Earth and Urban land cover categories.

Tested 0.135 meters VVA at a 95% confidence level was calculated using 48 checkpoints located in the Brushlands and Low Trees and Tall Weeds and Crops land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data. Tested against the DEM.

Completeness Report:

Datasets contain complete coverage of tiles with the exception of three tiles on the outer edges of the project area, u_2505069200_2016.img, u_2520071300_2016.img and u_2535071300_2016.img. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. Points with extreme elevations (negative values, or positive values well above the expected maximum) are present in this dataset. These points are classified as low or high noise in classified point cloud tiles.

Conceptual Consistency:

Data covers the entire area specified for this project. Partially elevated water bodies may be present where use of Class 10 (Ignored Ground) next to the hydro breaklines has eliminated ground points on a small berm or raised bank. On some smaller bridges breaklines were created to prevent triangulation across the gap in the bare earth DEM.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Lineage Statement:

Data were collected and processed by Axis GeoSpatial, LLC for the New York Office of Information Technology Services and posted to their ftp site. The NOAA Office for Coastal Management (OCM) downloaded the data from the ftp site and processed it to make it available for custom download from the Data Access Viewer (DAV) and bulk download from https.

Sources

Allegany and Steuben Counties, New York Lidar 2016

CC ID: 1295651
Contact Role Type: Originator
Contact Type: Organization
Contact Name: New York Office of Information Technology Services
Extent Type: Range
Extent Start Date/Time: 2016-03-30
Extent End Date/Time: 2016-05-18
Scale Denominator: 1200
Source Contribution:

This data source was used (along with the airborne GPS/IMU Data) to geo-referencing of the LiDAR point cloud data used to create all contracted LiDAR derived products. Version of the LAS Standard 1.4 / point data record format 6.

Process Steps

Process Step 1

CC ID: 1295652
Description:

Aerial LiDAR Acquisition: Aerial data collection was acquired in Sixteen (16) missions. Missions were flown using the Riegl Q1560 LiDAR system at a max flying height of 1830 m AGL. This was to support a 2.6 ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by POS/AV 510 for both sensors. Data acquisition was completed on May 18 2016. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, New York Office of Information Technology Services established a total of 26 ground control points that were used to calibrate the lidar to known ground locations established throughout the Allegany and Steuben County, New York project area. An additional 111 independent accuracy checkpoints, 61 in Bare Earth and Urban landcovers (61 NVA points). Please note that 3 of the 61 total NVA point were excluded from the solution due to being outside of the LiDAR coverage area. 50 in Tall Grass and Brushland/Low Trees categories (50 VVA points) were used to assess the vertical accuracy of the data. Please note that 2 VVA points out of the 50 collected were excluded due to being outside of the collection area. These checkpoints were not used to calibrate or post process the data. The data weredeveloped based on a horizontal projection/datum of NAD83, Universal Transverse Mercator, meters and vertical datum of NAVD88 (GEOID12A), meters.

Process Date/Time: 2016-01-01 00:00:00

Process Step 2

CC ID: 1295653
Description:

LiDAR Pre-processing: Airborne GPS and IMU data were merged to develop a Smoothed Best Estimate Trajectory (SBET) of the LiDAR system trajectory for each lift. LiDAR ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project lifts, was reduced to 2 cm or less. Data was then block adjusted to match surveyed calibration control. Raw data NVA was checked using independently surveyed check points. Swath overage points were identified and tagged within each swath file.

Process Date/Time: 2016-01-01 00:00:00

Process Step 3

CC ID: 1295654
Description:

Initial processing of the GPS data was processed using POSPAC MMS 7.2. The solution file was generated and RiProcess software was used to generate georeferenced laser returns which were then processed in strip form allowing for the QC of the overlap between strips (lines). The data from each line were combined and automated classification routines run to determine the initial surface model. This initial surface model was then verified to the surveyed test points

Process Date/Time: 2016-01-01 00:00:00

Process Step 4

CC ID: 1295655
Description:

LiDAR Post-Processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced LiDAR analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified LiDAR swath files were delivered to the client.

Process Date/Time: 2016-01-01 00:00:00

Process Step 5

CC ID: 1295656
Description:

LiDAR Classification: LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by LasTools to appropriately bit flag overlapping flight line data per USGS specifications. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. LP360 was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. New York Office of Information Technology Services proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.

Process Date/Time: 2016-01-01 00:00:00

Process Step 6

CC ID: 1295657
Description:

Hydro Flattened Raster DEM Process: Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 1 meter hydro-flattened Raster DEM. Using LasTools a merged large scale Imagine IMG file was created and then cut into tiles using Global Mapper. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface.

Process Step 7

CC ID: 1295658
Description:

The NOAA Office for Coastal Management (OCM) downloaded 1516 digital elevation model (DEM) files in img format from the NY State GIS ftp site ftp://ftp.gis.ny.gov/elevation/DEM/NYSGPO_AlleganySteuben2016/. The bare earth raster files were at a 1 m grid spacing. The data were in UTM Zone 18 NAD83 (2011), meters coordinates and NAVD88 (Geoid 12A) elevations in meters. OCM assigned the appropriate EPSG codes (Horiz - 6347, Vert - 5703) and copied the raster files to https for Digital Coast storage and provisioning purposes.

Process Date/Time: 2021-08-26 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2016 NYSGPO Lidar: Allegany and Steuben Counties, NY

Catalog Details

Catalog Item ID: 65211
GUID: gov.noaa.nmfs.inport:65211
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2021-08-26 15:06+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:18+0000
Metadata Record Published: 2024-01-10
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16