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Summary

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Short Citation
OCM Partners, 2024: 2016 FEMA Lidar: Malheur, OR, https://www.fisheries.noaa.gov/inport/item/58242.
Full Citation Examples

Abstract

This data set is a high resolution data set of lidar covering the total task order area (approximately 885 square miles) in southeast Oregon. The lidar data was acquired and processed under the requirements identified in this task order. The data delivered in this task order is compliant with US. Geological Survey National Geospatial Program Lidar Base Specification Version 1.2. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. The final products include classified LAS, 0.5 meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and Intensity data in TIFF format. Tiled data was delivered in 1500m x 1500m tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, bridge abutment breaklines, control data, project boundary, and tile index provided as ESRI shapefile, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off.

FEMA HQ Malheur, OR QL1 Lidar 0.35m NPS Lidar Data

Acquisition and Processing Production Task

USGS Contract No. G10PC00057

Task Order No. G15PD00642

Woolpert Order No. 75818

Contractor: Woolpert, Inc.

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

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

-117.532244° W, -116.562224° E, 43.191709° N, 42.403149° S

Time Frame 1
2016-03-23
Time Frame 2
2016-03-24
Time Frame 3
2016-03-25
Time Frame 4
2016-03-26
Time Frame 5
2016-03-30
Time Frame 6
2016-03-31
Time Frame 7
2016-04-02
Time Frame 8
2016-04-03
Time Frame 9
2016-04-06
Time Frame 10
2016-04-07
Time Frame 11
2016-04-08
Time Frame 12
2016-04-09
Time Frame 13
2016-06-08
Time Frame 14
2016-06-09
Time Frame 15
2016-06-10
Time Frame 16
2016-06-15

Item Identification

Title: 2016 FEMA Lidar: Malheur, OR
Short Name: 2016_FEMA_Malheur_OR
Status: Completed
Publication Date: 2019-11-25
Abstract:

This data set is a high resolution data set of lidar covering the total task order area (approximately 885 square miles) in southeast Oregon. The lidar data was acquired and processed under the requirements identified in this task order. The data delivered in this task order is compliant with US. Geological Survey National Geospatial Program Lidar Base Specification Version 1.2. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. The final products include classified LAS, 0.5 meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and Intensity data in TIFF format. Tiled data was delivered in 1500m x 1500m tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, bridge abutment breaklines, control data, project boundary, and tile index provided as ESRI shapefile, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off.

FEMA HQ Malheur, OR QL1 Lidar 0.35m NPS Lidar Data

Acquisition and Processing Production Task

USGS Contract No. G10PC00057

Task Order No. G15PD00642

Woolpert Order No. 75818

Contractor: Woolpert, Inc.

Purpose:

Data is used for mapping to assist in geologic hazards mapping such as landslide hazard maps.

Supplemental Information:

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS NGP Base Specifications v1.2",

"ldrsens" : "Leica Dual-Head DragonEye",

"ldrmaxnr" : "15",

"ldrnps" : "0.350",

"ldranps" : "0.350",

"ldrdens" : "8",

"ldradens" : "8",

"ldrfltht" : "900",

"ldrfltsp" : "125",

"ldrscana" : "40",

"ldrscanr" : "50",

"ldrpulsr" : "520",

"ldrpulsd" : "5",

"ldrpulsw" : "2.5",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.20",

"ldrswatw" : "655",

"ldrswato" : "15",

"ldrcrs" : "NAD83(2011) UTM11N meters",

"ldrgeoid" : "GEOID12B"

},

"ldraccur" : {

"ldrchacc" : "0.163",

"rawnva" : "0.096",

"rawnvan" : "106",

"clsnva" : "0.072",

"clsvva" : "0.145"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise.",

"lasolap" : "Swath overlap points were identified in these files by adding 16 to the standard classification values yielding overlap default and overlap ground, overlap water, and overlap ignored ground. Flags were then applied to these points and subsequently reclassified to their respective standard classification values",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "default/unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-earth"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "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
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

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 > OREGON
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
UNCONTROLLED
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > U.S. Coastline

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)
Distribution Liability:

Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert, Inc. makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user’s sole risk.

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: FEMA, Woolpert, OLC

Support Roles

Data Steward

CC ID: 887157
Date Effective From: 2019-11-22
Date Effective To:
Contact (Organization): Office for Coastal Management (OCM)
Address: 2234 South Hobson Avenue
Charleston, SC 29405-2413
URL: https://www.coast.noaa.gov/

Distributor

CC ID: 887113
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: 887114
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: 887115
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: 1143302
W° Bound: -117.532244
E° Bound: -116.562224
N° Bound: 43.191709
S° Bound: 42.403149

Extent Group 1 / Time Frame 1

CC ID: 1143286
Time Frame Type: Discrete
Start: 2016-03-23

Extent Group 1 / Time Frame 2

CC ID: 1143287
Time Frame Type: Discrete
Start: 2016-03-24

Extent Group 1 / Time Frame 3

CC ID: 1143288
Time Frame Type: Discrete
Start: 2016-03-25

Extent Group 1 / Time Frame 4

CC ID: 1143289
Time Frame Type: Discrete
Start: 2016-03-26

Extent Group 1 / Time Frame 5

CC ID: 1143290
Time Frame Type: Discrete
Start: 2016-03-30

Extent Group 1 / Time Frame 6

CC ID: 1143291
Time Frame Type: Discrete
Start: 2016-03-31

Extent Group 1 / Time Frame 7

CC ID: 1143292
Time Frame Type: Discrete
Start: 2016-04-02

Extent Group 1 / Time Frame 8

CC ID: 1143293
Time Frame Type: Discrete
Start: 2016-04-03

Extent Group 1 / Time Frame 9

CC ID: 1143294
Time Frame Type: Discrete
Start: 2016-04-06

Extent Group 1 / Time Frame 10

CC ID: 1143295
Time Frame Type: Discrete
Start: 2016-04-07

Extent Group 1 / Time Frame 11

CC ID: 1143296
Time Frame Type: Discrete
Start: 2016-04-08

Extent Group 1 / Time Frame 12

CC ID: 1143297
Time Frame Type: Discrete
Start: 2016-04-09

Extent Group 1 / Time Frame 13

CC ID: 1143298
Time Frame Type: Discrete
Start: 2016-06-08

Extent Group 1 / Time Frame 14

CC ID: 1143299
Time Frame Type: Discrete
Start: 2016-06-09

Extent Group 1 / Time Frame 15

CC ID: 1143300
Time Frame Type: Discrete
Start: 2016-06-10

Extent Group 1 / Time Frame 16

CC ID: 1143301
Time Frame Type: Discrete
Start: 2016-06-15

Spatial Information

Spatial Resolution

Horizontal Distance: 0.25 Meter

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 887108
Point Object Present?: Yes
Point Object Count: 8958181910

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or 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: 887134
Start Date: 2019-11-22
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8929
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: 887135
Start Date: 2019-11-22
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8929/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: 887110
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: 887111
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8929/supplemental/extent_2016_FEMA_Malheur_m8929.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

Technical Environment

Description:

Microsoft Windows 7 Version 6.1 (Build 7600); ArcMap 10.2; ArcCatalog 10.2; TerraScan ver. 16.01; Global Mapper v.17 TerraModeler ver. 16.01; Geocue 2014.1.21; LP360 2015.1. Leica Lidar Survey Studio Approximate size of entire delivery dataset = 3.0 TB

Data Quality

Horizontal Positional Accuracy:

Produced to meet 0.163 meters horizontal accuracy at 95 percent confidence level. Quantitative value: 0.163 meters, Test that produced the valued: Lidar system specifications are available in the project report

Vertical Positional Accuracy:

LAS data covering the FEMA HQ Malheur, OR QL1 Lidar Task Order was compared to independent survey control points to determine the NVA of the Raw Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to independent VVA points.

Raw Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.096 Meters at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the TIN using all points.

Relative accuracy also known as "between swath" accuracy was tested through a series of well distributed flight line overlap locations. The relative accuracy for the FEMA HQ Malheur, OR QL1 Lidar tested at 0.024 meters RMSDz. 106 NVA checkpoints were used.

VVA Errors larger than 95th percentile include:

Point 3026A, Easting 498042.052, Northing 4742435.108, Z-Error 0.182 Meters

Point 3028, Easting 477766.450, Northing 4776987.527, Z-Error 0.148 Meters

Point 3031A, Easting 453424.625, Northing 4745041.067, Z-Error 0.147 Meters

Point 3036A, Easting 496091.977, Northing 4784616.171, Z-Error 0.170 Meters

Completeness Report:

The lidar data is visually inspected for completeness to ensure that are no void areas or missing data.

Conceptual Consistency:

All formatted data cover the entire area specified for this project and are validated using a combination of commercial lidar processing software, GIS software, and proprietary programs to ensure proper formatting and loading prior to delivery.

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

Sources

Lidar acquisition

CC ID: 1143278
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Geomatics Data Solutions
Publish Date: 2016-10-31
Extent Type: Discrete
Extent Start Date/Time: 2016-03-23
Source Contribution:

This data set is the project specified acquired point cloud data.

Lidar deliverable processing

CC ID: 1143279
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Woolpert
Publish Date: 2016-10-31
Extent Type: Discrete
Extent Start Date/Time: 2016-03-23
Source Contribution:

This data set is the project specified lidar deliverables.

Survey Control Acquisition

CC ID: 1143280
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Woolpert
Publish Date: 2016-10-31
Extent Type: Discrete
Extent Start Date/Time: 2016-03-09
Source Contribution:

This data set is the project specified acquired ground control and QAQC control data.

Process Steps

Process Step 1

CC ID: 1143281
Description:

All lidar data were acquired using a Dual-Head DragonEye (DE) sensor owned and operated by GDS installed in a Cessna 401. The sensor was mounted in a Leica PAV100 gyro-stabilized mount integrated with a NovAtel SPAN GNSS and LCI-100C IMU. Real time navigation and GNSS/IMU data logging was provided by Leica FlightPro software. Lidar data were logged on the Airborne Hydrography, AB (AHAB) operator console. A calibration flight was conducted at Nampa Airport, ID on 30 March, 2016. Project data were acquired from 23 March 2016 until 09 April, 2016. Some blocks remained snow covered at this time. Once the snow had cleared, calibration flights were conducted at Nampa Airport, ID on 08 and 09 June, 2016, with the final survey data being acquired on 10 June and 15 June, 2016. Field calibration of the DE system is carried out to eliminate systematic errors by calculating corrections for boresight errors, scanner angle errors, remaining IMU angle errors and any necessary internal timing errors. Initial data coverage analysis and quality checks were performed to ensure there were no potential system issues were carried out in the field prior to demobilization of the sensor. Data were initially processed in Leica’s Lidar Survey Studio (LSS) using final processed trajectory information. LAS files from LSS were imported to a Terrascan project where spatial algorithms were used to remove gross system noise and a basic ground classification was conducted per flight line for Terra Match use. TMatch was then run on the project, and a comparison to the lidar control points was conducted. This calibrated/controlled LAS dataset was then provided to Woolpert for further processing and deliverable production.

Process Date/Time: 2016-03-23 00:00:00

Process Step 2

CC ID: 1143282
Description:

Woolpert utilized 2 Trimble Navigation R10 Model GNSS dual-frequency GPS receivers and 1 TSC3 data collector for this project. The field crew utilized Real-Time Kinematic (RTK) and GPS Rapid Static methods throughout the ground control data collection process. Using these techniques, observations were performed on a total of 244 LiDAR control points. The survey was conducted using a 1-second epoch rate, in a fixed solution RTK mode, with each observation lasting between 60 to 180 seconds. Each station was occupied twice to insure the necessary horizontal and vertical accuracies were being met for this LiDAR / photogrammetric project.

Process Date/Time: 2016-03-09 00:00:00

Process Step 3

CC ID: 1143283
Description:

Once calibration of the flightline data was completed by GDS the data was then provided to Woolpert. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Default (Class 1), Ground (Class 2), Low Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Bridge Decks (Class 17) and High Noise (Class 18). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. Classification of water (class 9) and ignored ground (class 10) was completed via the use of the hydrologic breaklines collected for the hydro-flattening phase. The overlap classes were determined by first identifying the overlapping areas and reclassifying the LAS data by offset from a corridor. This allows the returns located on the edge of the swath to be removed from the bare earth coverage in an effort to produce a more uniform data density. The returns determined to be overlap including overlap default, ground, water, and ignored ground are then applied an overlap flag and reclassified to their respective standard classification value. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area. The resulting deliverables for this task order consist of classified LAS file in LAS 1.4 format, Raw Swath LAS files in LAS 1.4 format, 0.5 meter pixel size DEM files in ERDAS IMG format, 8-bit Intensity files in GeoTIFF format, Hydrologic and Bridge abutment breakline data in ESRI Geodatabase format.

Process Date/Time: 2016-03-23 00:00:00

Process Step 4

CC ID: 1143284
Description:

NOAA/OCM received the data from DOGAMI in LAZ format . Data were in NAD83(2011) UTM 11N horizontally and NAVD88 (Geoid12b) vertically. All units were international feet. For ingest into the Digital Coast Data Access Viewer data were converted to geographic coordinates on the GRS80 ellipsoid in meters.

Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2016 FEMA Lidar DEM, Malheur, OR

Bare Earth DEM Mission

Catalog Details

Catalog Item ID: 58242
GUID: gov.noaa.nmfs.inport:58242
Metadata Record Created By: Blake Waring
Metadata Record Created: 2019-11-22 14:23+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