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Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Catalog Details

Summary

Short Citation
OCM Partners, 2024: 2020 USGS Lidar: 17 County, AL, https://www.fisheries.noaa.gov/inport/item/72716.
Full Citation Examples

Abstract

The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the AL 17County_2020_B20 UTM Zone 16N D1 boundary and the AL 17County_2020_B20 UTM Zone 16N D2 boundary. These areas are in northern and central Alabama.

Block 1 - AL_17Co_1_2020, Work Unit 226776

The data covers 6440.76 square miles in the following counties: Blount, Colbert, DeKalb, Jackson, Lauderdale, Lawrence, Marshall, Morgan

Block 2 - AL_17Co_2_2020, Work Unit 191531

The data covers 6704.85 square miles in the following counties: Calhoun, Clay, Cleburne, Lowndes, Marengo, Montgomery, St. Clair, Talladega, Wilcox

Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off.

How the Withheld Points are Identified: Withheld flag was not used in this dataset.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.

Distribution Information

  • Not Applicable

    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, UTM Zone 16N NAD83(2011) meters coordinates and NAVD88 (Geoid18) elevations in meters.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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

-88.20573° W, -85.49292° E, 35.026664° N, 33.732627° S

Data collection area for AL_17Co_1_2020

Time Frame 1
2020-12-10 - 2021-01-17

Dates of collection for AL_17Co_1_2020

Item Identification

Title: 2020 USGS Lidar: 17 County, AL
Short Name: al2020_17county_m10125_metadata
Status: Completed
Creation Date: 2020
Abstract:

The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the AL 17County_2020_B20 UTM Zone 16N D1 boundary and the AL 17County_2020_B20 UTM Zone 16N D2 boundary. These areas are in northern and central Alabama.

Block 1 - AL_17Co_1_2020, Work Unit 226776

The data covers 6440.76 square miles in the following counties: Blount, Colbert, DeKalb, Jackson, Lauderdale, Lawrence, Marshall, Morgan

Block 2 - AL_17Co_2_2020, Work Unit 191531

The data covers 6704.85 square miles in the following counties: Calhoun, Clay, Cleburne, Lowndes, Marengo, Montgomery, St. Clair, Talladega, Wilcox

Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off.

How the Withheld Points are Identified: Withheld flag was not used in this dataset.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.

Purpose:

The USGS/FEMA, as well as Alabama's state and local governments, hired Digital Aerial Solutions, LLC to provide professional services for the planning, acquisition, and development of Light Detection and Ranging Lidar data and derivative products.The task order is for a QL2 Lidar survey to be collected over the state of Alabama. The deliverable products would be used by USGS/FEMA and Alabama's state and local agencies for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and other environmental purposes.

Supplemental Information:

All Lidar data and associated products were acquired, calibrated, and used in the creation of Lidar derived products by Digital Aerial Solutions, LLC.

ANPS: 0.71 Meters

Tile Size: 1,500 Meters

Spec: National Geospatial Program(NGP) Lidar Base Specification v2.1

LAS File Type: 1.4 type 6

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program(NGP) Lidar Base Specification v2.1",

"ldrsens" : "Leica Terrain Mapper SN# 90524",

"ldrmaxnr" : "Unlimited",

"ldrnps" : "0.58",

"ldrdens" : "3.00",

"ldranps" : "0.58",

"ldradens" : "3.00",

"ldrfltht" : "7546",

"ldrfltsp" : "160",

"ldrscana" : "40.0",

"ldrscanr" : "150.0",

"ldrpulsr" : "650.0",

"ldrpulsd" : "3",

"ldrpulsw" : "0.55",

"ldrwavel" : "1064",

"ldrmpia" : "0",

"ldrbmdiv" : "0.25",

"ldrswatw" : "1674.26",

"ldrswato" : "30",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid 18"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0",

"rawnvan" : "0",

"clsnva" : "0",

"clsnvan" : "0",

"clsvva" : "0",

"clsvvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld flag was not used in this dataset.",

"lasolap" : "Swath “overage” points was not used in this dataset.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Undetermined/Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridges"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ingored Ground"

},

"clascode" : "21",

"clasitem" : "Snow",

"lasclass" : {

"clascode" : "22",

"clasitem" : "Temporal exclusion"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
ISO 19115 Topic Category
elevation

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 > ALABAMA
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: As Needed
Data Presentation Form: Model (digital)
Entity Attribute Detail Citation:

None

Distribution Liability:

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: Digital Aerial Solutions, LLC, USGS

Support Roles

Data Steward

CC ID: 1335551
Date Effective From: 2024
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: 1335550
Date Effective From: 2024
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: 1335837
Date Effective From: 2022
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1335552
Date Effective From: 2024
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: 1335553
Date Effective From: 2024
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: 1335556
W° Bound: -88.20573
E° Bound: -85.49292
N° Bound: 35.026664
S° Bound: 33.732627
Description

Data collection area for AL_17Co_1_2020

Extent Group 1 / Time Frame 1

CC ID: 1335555
Time Frame Type: Range
Start: 2020-12-10
End: 2021-01-17
Description:

Dates of collection for AL_17Co_1_2020

Extent Group 2

Extent Group 2 / Geographic Area 1

CC ID: 1335839
W° Bound: -88.15
E° Bound: -85.28
N° Bound: 34
S° Bound: 31.9
Description

Data collection area for AL_17Co_2_2020

Extent Group 2 / Time Frame 1

CC ID: 1335840
Time Frame Type: Range
Start: 2020-12-09
End: 2021-02-23
Description:

Dates of collection for AL_17Co_2_2020

Spatial Information

Spatial Representation

Representations Used

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

Reference Systems

Reference System 1

CC ID: 1335841

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:3857
EPSG Name: WGS 84 / Pseudo-Mercator
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1335842

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
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: 1335557
Start Date: 2024-05-31
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10125/details/10125
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - 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.

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1335558
Start Date: 2022
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/AL_17County_2020_B20/
Distributor: U.S. Geological Survey (2022 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, UTM Zone 16N NAD83(2011) meters coordinates and NAVD88 (Geoid18) elevations in meters.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1335548
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: 1335845
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AL_17County_2020_B20/AL_17Co_1_2020/reports/AL_17%20County__2020_B20_LiDARMappingReport_D1.pdf
Name: Lidar Report - AL_17Co_1_2020
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

URL 3

CC ID: 1335846
URL: https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/AL_17Co_1_2020/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/AL_17Co_2_2020/ept.json%22]
Name: USGS 3D View
URL Type:
Online Resource
Description:

Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer.

URL 4

CC ID: 1335848
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/AL_17Co_1_2020/ept.json
Name: USGS Entwine Point Tile (EPT) - AL_17Co_1_2020
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 5

CC ID: 1335849
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/AL_17Co_2_2020/ept.json
Name: USGS Entwine Point Tile (EPT) - AL_17Co_2_2020
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 6

CC ID: 1335850
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AL_17County_2020_B20/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, and spatial metadata.

URL 7

CC ID: 1335851
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AL_17County_2020_B20/USGS_AL_17County_2020_B20_Project_Report.pdf
Name: USGS Project Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used.

URL 8

CC ID: 1335852
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AL_17County_2020_B20/AL_17Co_2_2020/reports/project_report/AL_17%20County__2020_B20_LiDARMappingReport_D2.pdf
Name: Lidar Report - AL_17Co_2_2020
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

Technical Environment

Description:

Inertial Explorer ver: 8.9; Leica HxMap 2.7.0; GeoCue Ver: 2020.1.22.1; Microstation CONNECT 10.12.00.40 ; TerraScan v021.034; LP360 ver: 2021.1.47.0; Arcmap ver: 10.7; Global Mapper ver: 18.1

Data Quality

Horizontal Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 36.0 (cm) RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy =+/- 71.0 cm at a 95%

Vertical Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014).

USGS Determined Vertical Accuracy

Tested NVA RMSEz = 4.15 cm

Tested 95th percentile value for VVA is : 12.39 cm

For more information see the USGS project report and the lidar report. The links to these reports are provided in the URL section of this metadata record.

Completeness Report:

The RAW LAS data files included 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 Fundamental Vertical Accuracy specifications. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header.

Conceptual Consistency:

Aerial LiDAR data covers the entire area intended for this project task. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. 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-NC
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to cloud storage.

Lineage

Lineage Statement:

The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container.

Sources

USGS AWS Entwine Point Tile (EPT) - AL_17Co_1_2020

CC ID: 1335853
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/AL_17Co_1_2020/ept.json
Citation URL Name: Entwine Point Tile (EPT) for AL_17Co_1_2020

USGS AWS Entwine Point Tile (EPT) - AL_17Co_2_2020

CC ID: 1335854
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/AL_17Co_2_2020/ept.json
Citation URL Name: Entwine Point Tile (EPT) for AL_17Co_2_2020

Process Steps

Process Step 1

CC ID: 1335541
Description:

Aerial Lidar Acquisition: Lidar acquisition was done using Gunterville Municipal Airport (K8A1) and Northwest Alabama Regional Airport (KMSL) as the base airport. DAS used one dedicated GPS base station located at the respected airport to support the aerial Lidar acquisition. DAS used Leica's Terrian Lidar Sensor (SN90524) for the acquisition. The project consisted of 305 flightlines totaling 9426.82 nautical miles. The acquisition was completed in 31 lift from December 9th ,2020 - Feburary 22, 2021.

Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of Hundred Ninety Two (192) check points (110 NVA + 82 VVA). The points were a combination of the following ground cover classification: Open Terrain, Urban Terrain, Bare Earth, High Grass, and Low Trees. All field survey observations were completed March 22, 2019 with Leica GPS GS15 and 1200 equipment.

Process Date/Time: 2021-01-24 00:00:00

Process Step 2

CC ID: 1335542
Description:

LiDAR Data Processing: Inertial Explorer 8.9 software was used to compute inertial solution file (*.sol) for each mission using ground GPS base station. The resulting solution was checked to ensure a minimum accuracy of +/- 0.05m, combined separation, for horizontal and vertical positions. Inertial Explorer methodology integrates Inertial Navigation Solution by processing the GPS data and Inertial Measurement Unit (IMU). The software applies the reference lever arms for the GPS and IMU during the process to determine the trajectory (position and orientation) of the LiDAR sensor during the acquisition mission. Inertial Explorer generated graphical results was reviewed to ensure that the IMU data was healthy. These results are found in Appendix D.

Raw LiDAR sensor ranging data and the final solution sensor trajectory (*.sol), from Inertial Explorer, were processed in Leica’s HxMap software to produce LiDAR point cloud swath for each flight line in LAS version 1.4 file format. Quality control of the swath point cloud was performed to validate proper functioning of the sensor system, full coverage of the project area and point density of the LiDAR data. Swath point clouds were assigned unique file source identification. The data was found to be complete and consistent with the sensor calibration parameters.

Process Date/Time: 2021-02-24 00:00:00

Process Step 3

CC ID: 1335543
Description:

LiDAR Calibration:HxMap is the common workflow platform for Leica airborne sensors. The processing workflow involves; Ingest, Block Creation, LiDAR Matching, Quality Assurance (QA) and Product Generation

LiDAR is processed in HxMap by generating point clouds from raw sensor data during the Ingest step. Noise filtering, sensor installation calibration and atmospheric condition parameters are also applied during the ingest process. Once all data is processed through ingest, they are assembled into a block for LiDAR Matching. The LiDAR Matching step resolves LiDAR registration errors which remain in the point clouds after sensor and installation calibration parameters are applied in the ingest step. QA tool is run on the Block after LiDAR Matching to verify quality of results. QA results are reviewed to ensure that, 95% of patches less thand 5cm for Vertical Scan Direction and Vertical Line Separation. Ground control points are also included to assess absolute accuracy for the point cloud data. LiDAR products are finally generated in the Product Generation step as LAS swaths (LAS 1.4). Vertical (Z) shift (calculated from QA step) is also applied during the product generation.

Process Date/Time: 2021-03-09 00:00:00

Process Step 4

CC ID: 1335855
Description:

Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and no changes were made to the vertical (NAVD88 GEOID18 meters).

Process Contact: U.S. Geological Survey

Process Step 5

CC ID: 1335856
Description:

The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container.

These are the AWS URLs being accessed:

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/AL_17Co_1_2020/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/AL_17Co_2_2020/ept.json

Process Date/Time: 2024-05-31 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 72716
GUID: gov.noaa.nmfs.inport:72716
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2024-05-31 19:38+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2024-06-17 17:24+0000
Metadata Record Published: 2024-06-03
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2024-06-03
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2025-06-03