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Summary

Browse graphic

Short Citation
OCM Partners, 2024: 2016 - 2018 USGS Lidar: Umbagog (NH, ME), https://www.fisheries.noaa.gov/inport/item/58363.
Full Citation Examples

Abstract

Geographic Extent: Partial coverage of six counties in New Hampshire and Maine, covering approximately 3,276 total square miles.

Dataset Description: The Umbagog NH/ME 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 meters for the New Hampshire, Maine, and FEMA R1 (MOD1) areas of interest. The White Mountain National Forest NH/ME areas of interest used LiDAR collected at 0.57 meters NPS, with the MOD2 WMNF add on collected at 0.35 NPS.

Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.2. The data for counties in the AOI were developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 19, meters and vertical datum of NAVD88 (GEOID12B), meters. LiDAR data were delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 3,465 individual 1,500-meter x 1,500-meter tiles, along with 33 individual 2,000-meter x 2,000-meter tiles for the MOD2 WMNF add on area of interest, as tiled 1-meter intensity imagery in GeoTIFF format, and as tiled 1-meter hydro-flattened bare earth DEMs in GeoTIFF format; all tiled to the same schema. Continuous breaklines were produced in Esri file geodatabase format. The 557 individual 1,500-meter x 1,500-meter tiles constituting the MOD1 area of interest were delivered previously and will be redelivered after USGS-mandated revisions are complete.

Ground Conditions: LiDAR was collected from spring of 2016 to spring of 2018, 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, Quantum Spatial, Inc. utilized a total of 68 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 165 independent accuracy checkpoints, 95 in Bare Earth and Urban landcovers (95 NVA points), 70 in Tall Weeds categories (70 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/

The blocks downloaded were:

USGS_LPC_ME_Umbagog_2016_LAS_2019/ Number of files: 563

USGS_LPC_NH_Umbagog_2016_LAS_2019/ Number of files: 3404

USGS_LPC_NH_Umbagog_QL1_2016_LAS_2019/ Number of files: 283

These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 4250.

Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

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.

  • LAS/LAZ - LASer

    Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

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

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

-71.89806619° W, -68.03456018° E, 46.18740983° N, 43.81159987° S

Time Frame 1
2016-04-10 - 2018-05-24

Item Identification

Title: 2016 - 2018 USGS Lidar: Umbagog (NH, ME)
Short Name: nh2016_umbagog_m8970_metadata
Status: Completed
Creation Date: 2019-12-20
Publication Date: 2018-08-30
Abstract:

Geographic Extent: Partial coverage of six counties in New Hampshire and Maine, covering approximately 3,276 total square miles.

Dataset Description: The Umbagog NH/ME 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 meters for the New Hampshire, Maine, and FEMA R1 (MOD1) areas of interest. The White Mountain National Forest NH/ME areas of interest used LiDAR collected at 0.57 meters NPS, with the MOD2 WMNF add on collected at 0.35 NPS.

Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.2. The data for counties in the AOI were developed based on a horizontal projection/datum of NAD83 (2011), UTM Zone 19, meters and vertical datum of NAVD88 (GEOID12B), meters. LiDAR data were delivered as flightline-extent unclassified LAS swaths, as processed Classified LAS 1.4 files formatted to 3,465 individual 1,500-meter x 1,500-meter tiles, along with 33 individual 2,000-meter x 2,000-meter tiles for the MOD2 WMNF add on area of interest, as tiled 1-meter intensity imagery in GeoTIFF format, and as tiled 1-meter hydro-flattened bare earth DEMs in GeoTIFF format; all tiled to the same schema. Continuous breaklines were produced in Esri file geodatabase format. The 557 individual 1,500-meter x 1,500-meter tiles constituting the MOD1 area of interest were delivered previously and will be redelivered after USGS-mandated revisions are complete.

Ground Conditions: LiDAR was collected from spring of 2016 to spring of 2018, 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, Quantum Spatial, Inc. utilized a total of 68 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 165 independent accuracy checkpoints, 95 in Bare Earth and Urban landcovers (95 NVA points), 70 in Tall Weeds categories (70 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/

The blocks downloaded were:

USGS_LPC_ME_Umbagog_2016_LAS_2019/ Number of files: 563

USGS_LPC_NH_Umbagog_2016_LAS_2019/ Number of files: 3404

USGS_LPC_NH_Umbagog_QL1_2016_LAS_2019/ Number of files: 283

These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 4250.

Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

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 DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1-meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Supplemental Information:

USGS Contract No. G16PC00016, Task Order No. G16PD01240; CONTRACTOR: Quantum Spatial, Inc. SUBCONTRACTOR: Keystone Aerial Surveys, Inc. LiDAR data were acquired by Keystone Aerial Surveys, Inc. All follow-on processing was completed by the prime contractor.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.2",

"ldrsens" : "Optech Galaxy T1000",

"ldrmaxnr" : "8",

"ldrnps" : "0.7",

"ldrdens" : "2",

"ldranps" : "0.67",

"ldradens" : "2.21",

"ldrfltht" : "2100",

"ldrfltsp" : "150",

"ldrscana" : "20",

"ldrscanr" : "53.4",

"ldrpulsr" : "260.4",

"ldrpulsd" : "3",

"ldrpulsw" : "0.525",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "1528.67",

"ldrswato" : "47",

"ldrgeoid" : "GEOID12B",

"ldrcrs" : "NAD83 (2011) UTM 19N, meters"

},

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.2",

"ldrsens" : "Leica ALS70",

"ldrmaxnr" : "4",

"ldrnps" : "0.7",

"ldrdens" : "2",

"ldranps" : "0.61",

"ldradens" : "2.21",

"ldrfltht" : "2100",

"ldrfltsp" : "140",

"ldrscana" : "18",

"ldrscanr" : "56",

"ldrpulsr" : "262.6",

"ldrpulsd" : "4",

"ldrpulsw" : "0.46",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "1364.66",

"ldrswato" : "30",

"ldrgeoid" : "GEOID12B",

"ldrcrs" : "NAD83 (2011) UTM 19N, meters"

},

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.2",

"ldrsens" : "Riegl Q1560",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.35",

"ldrdens" : "8",

"ldranps" : "0.44",

"ldradens" : "5.17",

"ldrfltht" : "2300",

"ldrfltsp" : "130",

"ldrscana" : "18",

"ldrscanr" : "67.6",

"ldrpulsr" : "251.8",

"ldrpulsd" : "3",

"ldrpulsw" : "0.58",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "728.57",

"ldrswato" : "46",

"ldrgeoid" : "GEOID12B",

"ldrcrs" : "NAD83 (2011) UTM 19N, meters"

},

"ldraccur" : {

"ldrchacc" : "0.196",

"rawnva" : "0.118",

"rawnvan" : "95"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points were identified in these files using the

standard LAS Withheld bit",

"lasolap" : "Swath "overage" points were identified in these files using the

standard LAS overlap bit",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-Earth Ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "In-land Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored Ground"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
ISO 19115 Topic Category
elevation
UNCONTROLLED
None beach
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 > MAINE
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > NEW HAMPSHIRE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

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)
Distribution Liability:

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

Data Set Credit: Quantum Spatial, Inc.

Support Roles

Data Steward

CC ID: 889762
Date Effective From: 2019-12-20
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: 889722
Date Effective From: 2019
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: 889723
Date Effective From: 2019
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: 889724
Date Effective From: 2019
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: 1143435
W° Bound: -71.89806619
E° Bound: -68.03456018
N° Bound: 46.18740983
S° Bound: 43.81159987

Extent Group 1 / Time Frame 1

CC ID: 1143434
Time Frame Type: Range
Start: 2016-04-10
End: 2018-05-24

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 889717
Point Object Present?: Yes
Point Object Count: 78213887299

Reference Systems

Reference System 1

CC ID: 1143432

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
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: 889728
Start Date: 2019-12-20
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8970
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019 - 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: 889729
Start Date: 2019-12-20
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 889719
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: 889720
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/supplemental/nh2016_umbagog_m8970.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: 889721
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/supplemental/ProjectReport.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 4

CC ID: 889763
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/supplemental/USGS_Umbagog_LiDAR_FOCUSonAcc_20180830_134539.pdf
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to the FOCUS report for larger AOI.

URL 5

CC ID: 889764
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/breaklines/
URL Type:
Online Resource
Description:

Link to the breaklines.

URL 6

CC ID: 987327
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8970/supplemental/Umbagog_MOD2_AOI_FOCUS_Report.pdf
Name: Report
URL Type:
Online Resource
Description:

Link to the FOCUS report for the smaller AOI.

Data Quality

Vertical Positional Accuracy:

The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) 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. The NVA was tested with 95 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. 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.

Non Vegetated Accuracy (NVA) = 5.9 cm RMSE

Completeness Report:

These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

Data cover the entire area specified for this project.

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

Process Steps

Process Step 1

CC ID: 1143430
Description:

LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened 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 TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data were 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. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. 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: 2018-01-01 00:00:00

Process Step 2

CC ID: 1143431
Description:

The NOAA Office for Coastal Management (OCM) downloaded this data set from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/

The blocks downloaded were:

USGS_LPC_ME_Umbagog_2016_LAS_2019/ Number of files: 563

USGS_LPC_NH_Umbagog_2016_LAS_2019/ Number of files: 3404

USGS_LPC_NH_Umbagog_QL1_2016_LAS_2019/ Number of files: 283

These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 4250.

The data were in UTM Zone 19 (NAD83 2011) coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 7, 9, 10, 17, 18.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.

2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert from UTM Zone 19 (NAD83 2011) coordinates in meters to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Date/Time: 2019-12-20 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 58363
GUID: gov.noaa.nmfs.inport:58363
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2019-12-20 15:38+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2022-03-16
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