65900
2020 USGS Lidar: Savannah Pee Dee, SC
sc2019_sav_pd_m9436_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2020
2020-09-04
Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Data are classified as:
1 - Unclassified
2 - Ground
6 - Building (Only data in Blocks 2, 3, and 6 have points with this classification)
7 - Noise
9 - Water
17 - Bridge Deck
18 - High Noise
20 - Ignored Ground
Geographic Extent: Approximately 21,453 square miles across South Carolina;
Block 1 (Lot 6 QL2) - approximately 3,583 square miles in Anderson, Cherokee, Greenville, Laurens, Newberry, Oconee, Pickens, Spartanburg, and Union counties
Block 2 (Lot 7 QL1) - approximately 950 square miles in Greenville and Lexington counties. Class 6 (Buildings) points available in this block.
Block 3 (Lot 7 QL2) - approximately 3435 square miles in Abbeville, Aiken, Anderson, Edgefield, Greenwood, Laurens, McCormick, Newberry, Oconee, and Saluda counties. Class 6 (Buildings) points available in this block.
Block 4 (Lot 8 QL1) - approximately 135 square miles in Aiken and Edgefield counties
Block 5 (Lot 8 QL2) - approximately 5,775 square miles in Aiken, Allendale, Bamberg, Barnwell, Calhoun, Chester, Chesterfield, Clarendon, Colleton, Edgefield, Fairfield, Hampton, Kershaw, Lancaster, Lee, Lexington, McCormick, Newberry, Orangeburg, Richland, Saluda, and Sumter counties
Block 6 (Lot 9 QL2) - approximately 7,255 square miles in Bamberg, Beaufort, Berkeley, Charleston, Chesterfield, Clarendon, Colleton, Darlington, Dillon, Dorchester, Florence, Georgetown, Hampton, Horry, Jasper, Kershaw, Lee, Marion, Marlboro, Orangeburg, Sumter, and Williamsburg counties. Class 6 (Buildings) points available in this block.
Block 6 Reflight (Lot 9, QL2) - 18 square miles in Florence and Marion counties. This area reflown in Spring 2022 due to cloud gaps during initial collection.
Block 7 (Lot 9 QL1) - approximately 689 square miles in Beaufort, Berkeley, Charleston, Colleton, Darlington, Dorchester, Florence counties
Dataset Description: The SC Savannah Pee Dee 2019 B19 lidar project called for the planning, acquisition, processing, and production of derivative products of QL 1 and QL2 lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 and 0.71 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal datum/projection of NAD83 (2011) State Plane South Carolina (FIPS 3900) International Feet (EPSG 6570), and a vertical datum of NAVD88 (GEOID18) US Survey Feet. Lidar data was delivered as processed LAS 1.4 files formatted to individual 5,000-Int'l. foot x 5,000-Int'l. foot tiles.
Ground Conditions: Lidar was collected January through March 2020 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, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. Additional independent accuracy checkpoints were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.
This metadata 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.
This project will support the 3DEP mission, the Natural Resources Conservation Service (NRCS) high resolution elevation enterprise program, and the Federal Emergency Management Agency (FEMA) Risk Mapping, Assessment and Planning (MAP) program, as well as many South Carolina state and local agencies.
USGS Contract No. G16PC00022, Task Order No. 140G0219F0339. Contractor: Woolpert. Sub-contractors: GRW, Inc., SurvTech Solutions, Florabama Geospatial Solutions, LLC (FGS).
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "USGS NGP Base Specifications v1.3",
"ldrsens" : "Leica Terrain Mapper",
"ldrmaxnr" : "15",
"ldrnps" : "0.71",
"ldrdens" : "2",
"ldranps" : "0.71",
"ldradens" : "2",
"ldrfltht" : "2500",
"ldrfltsp" : "150",
"ldrscana" : "40",
"ldrscanr" : "90",
"ldrpulsr" : "600",
"ldrpulsd" : "5",
"ldrpulsw" : "2.5",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.25",
"ldrswatw" : "1820",
"ldrswato" : "25",
"ldrgeoid" : "GEOID18"
},
"ldraccur" : {
"ldrchacc" : "0",
"rawnva" : "0",
"rawnvan" : "0"
},
"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 and given the standard 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 not classified"
},
"lasclass" : {
"clascode" : "2",
"clasitem" : "Bare earth ground"
},
"lasclass" : {
"clascode" : "7",
"clasitem" : "Noise"
},
"lasclass" : {
"clascode" : "9",
"clasitem" : "Water"
},
"lasclass" : {
"clascode" : "17",
"clasitem" : "Bridge decks"
},
"lasclass" : {
"clascode" : "20",
"clasitem" : "Ignored ground"
}
}}
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > SOUTH CAROLINA
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.
Woolpert, USGS
Data Steward
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2021
Organization
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston
VA
20191
USA
https://usgs.gov
USGS Home
Home page for USGS
Online Resource
Distributor
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-83.363118
-79.070394
35.219515
32.020958
Range
2020-01-01
2020-02-03
Dates of collection for Block 1 (Lot 6) in Anderson, Cherokee, Greenville, Laurens, Newberry, Oconee, Pickens, Spartanburg, and Union counties and Block 3 (Lot 7, QL2) in Abbeville, Aiken, Anderson, Edgefield, Greenwood, Laurens, McCormick, Newberry, Oconee, and Saluda counties.
Range
2020-01-05
2020-01-22
Dates of collection for Block 2 (Lot 7, QL1) in Greenville and Lexington counties.
Range
2020-01-05
2020-03-20
Dates of collection for Block 6 (Lot 9, QL2) in Bamberg, Beaufort, Berkeley, Charleston, Chesterfield, Clarendon, Colleton, Darlington, Dillon, Dorchester, Florence, Georgetown, Hampton, Horry, Jasper, Kershaw, Lee, Marion, Marlboro, Orangeburg, Sumter, and Williamsburg counties.
Range
2020-01-16
2020-02-03
Dates of collection for Block 5 (Lot 8, QL2) in Aiken, Allendale, Bamberg, Barnwell, Calhoun, Chester, Chesterfield, Clarendon, Colleton, Edgefield, Fairfield, Hampton, Kershaw, Lancaster, Lee, Lexington, McCormick, Newberry, Orangeburg, Richland, Saluda, and Sumter counties.
Discrete
2020-01-20
Dates of collection for Block 4 (Lot 8, QL1) in Aiken and Edgefield counties.
Range
2020-01-20
2020-03-12
Dates of collection for Block 7 (Lot 9, QL1) in Beaufort, Berkeley, Charleston, Colleton, Darlington, Dorchester, Florence counties.
Range
2020-01-28
2022-01-12
Dates of collection for Block 6 Reflight (Lot 9, QL2) in Florence and Marion counties.
Yes
Projected
EPSG:3857
WGS 84 / Pseudo-Mercator
World Geodetic System 1984
WGS 84
6378137
298.257223563
WGS 84
Popular Visualisation Pseudo-Mercator
Popular Visualisation Pseudo Mercator
Latitude of natural origin
0° 0' 0" N
Longitude of natural origin
0° 0' 0" E
False easting
0
metre
False northing
0
metre
1
Easting
X
metre
east
2
Northing
Y
metre
north
Vertical
EPSG:5703
NAVD88 height
North American Vertical Datum 1988
1
Gravity-related height
H
metre
up
Unclassified
Data is available online for bulk and custom downloads.
None
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.
2021-12-03
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9436/details/9436
2021
Organization
NOAA Office for Coastal Management
Customized Download
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.
Zip
Zip
2021-12-03
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/SC_SavannahPeeDee_2019_B19/
2021
Organization
U.S. Geological Survey
Bulk Download
Bulk download of data files in LAZ format, based on a horizontal datum/projection of NAD83 (2011) State Plane South Carolina (FIPS 3900) International Feet (EPSG 6570), and a vertical datum of NAVD88 (GEOID18) US Survey Feet. This url links to the USGS copy of the files, from which the Entwine Point Tile files originated. These have not been reviewed by OCM and the link is provided here for convenience.
LAZ
LAS/LAZ - LASer
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/supplemental/sc2020_sav_pd_m9436.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9437/details/9437
Custom DEM Download
Online Resource
Zip
Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/breaklines/
Hydro Breaklines
Online Resource
Zip
Link to the hydro breaklines.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/supplemental/SC_SavannahPeeDee_1_2019_Lidar_Project_Report_Lot_6.pdf
Block 1 Lidar Report
Online Resource
pdf
Link to the Block 1 lidar report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/supplemental/SC_SavannahPeeDee_2019_B19_WP_Report.pdf
USGS Work Package Report
Online Resource
pdf
Link to the USGS Work Package Report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/supplemental/SC_SavannahPeeDee_2_2019_Lidar_Project_Report_Lot_7_QL1.pdf
Block 2 Lidar Report
Online Resource
pdf
Link to the Block 2 lidar report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/supplemental/SC_SavannahPeeDee_3_2019_Lidar_Project_Report_Lot_7_QL2.pdf
Block 3 Lidar Report
Online Resource
pdf
Link to the Block 3 lidar report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/supplemental/SC_SavannahPeeDee_4_2019_Lidar_Project_Report.pdf
Block 4 Lidar Report
Online Resource
pdf
Link to the Block 4 lidar report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/supplemental/SC_SavannahPeeDee_5_2019_Lidar_Project_Report.pdf
Block 5 Lidar Report
Online Resource
pdf
Link to the Block 5 lidar report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/supplemental/SC_SavannahPeeDee_6_2019_Lidar_Project_Report.pdf
Block 6 Lidar Report
Online Resource
pdf
Link to the Block 6 lidar report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9436/supplemental/SC_SavannahPeeDee_7_2019_Lidar_Project_Report.pdf
Block 7 Lidar Report
Online Resource
pdf
Link to the Block 7 lidar report.
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/SC_SavannahPeeDee_2019_B19/SC_SavannahPeeDee_6_ReFlight_2019/reports/SC_SavannahPeeDee_6_2019_Lidar_Project_Report.pdf
Block 6 Reflight Lidar Report
Online Resource
pdf
Link to the Block 6 Reflight lidar report.
Microsoft Windows 10 Version 1803 (Build 17134.1304); ArcMap 10.7; ArcCatalog 10.7; TerraScan ver. 20; TerraModeler ver. 20; LP360 v2019.1.30.4.
Blocks 1, 3, 5, 6, 6 Reflight
The data sets was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 18.6 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 45.5 cm at a 95% confidence level.
Blocks 2, 4, 7
The data sets was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 14.5 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 35.5 cm at a 95% confidence level.
This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.
USGS Determined Vertical Accuracy:
NVA = 8.7 cm at 95% confidence level (4.4 cm RMSEz)
VVA = 20.18 cm at 95th Percentile
Please refer to the USGS Work Package report (link provided in URL section of this metadata record) for more information.
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.
Data covers the entire area specified for this project.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
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.
USGS AWS Entine Point Tiles
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_7_2019/ept.json
Entwine Point Tiles for SC_SavannahPeeDee_7_2019
USGS AWS Entwine Point Tiles
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_6_2019/ept.json
Entwine Point Tiles for SC_SavannahPeeDee_6_2019
USGS AWS Entwine Point Tiles
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_1_2019/ept.json
Entwine Pont Tiles for SC_Savannah_PeeDee_1_2019
USGS AWS Entwine Point Tiles
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_2_2019/ept.json
Entwine Point Tiles for SC_SavannahPeeDee_2_2019
USGS AWS Entwine Point Tiles
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_3_2019/ept.json
Entwine Point Tiles for SC_SavannahPeeDee_3_2019
USGS AWS Entwine Point Tiles
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_4_2019/ept.json
Entwine Point Tiles for SC_SavannahPeeDee_4_2019
USGS AWS Entwine Point Tiles
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_5_2019/ept.json
Entwine Point Tiles for SC_SavannahPeeDee_5_2019
USGS AWS Entwine Point Tiles
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_6_ReFlight_2019/ept.json
Entwine Point Tiles for SC_SavannahPeeDee_6_Reflight_2019
1
Lidar Point Cloud Classification: 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 Processed, but Unclassified (Class 1), Bare Earth Ground (Class 2), Low Noise (Class 7), Water (Class 9), Bridge Decks (Class 17), High Noise (Class 18), and Ignored Ground (Class 20). 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. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 0.7 meters was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored Ground (Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (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 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. GeoCue was then used to create the deliverable industry-standard LAS files. Woolpert proprietary software and LP360 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.
2020-09-04T00:00:00
2
Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were reprojected horizontally to WGS84 web mercator (EPSG 3857) and no changes were made to the vertical (NAVD88 GEOID18 meters).
Organization
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston
VA
20191
USA
https://usgs.gov
USGS Home
Home page for USGS
Online Resource
3
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/SC_SavannahPeeDee_1_2019/ept.json
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_2_2019/ept.json
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_3_2019/ept.json
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_4_2019/ept.json
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_5_2019/ept.json
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_6_2019/ept.json
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_6_ReFlight_2019/ept.json
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/SC_SavannahPeeDee_7_2019/ept.json
The data reports, metadata, and breaklines were downloaded from this USGS site:
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/SC_SavannahPeeDee_2019_B19/
2021-12-03T00:00:00
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
65959
Data Set
2020 USGS Lidar DEM: Savannah Pee Dee, SC
Cross Reference
gov.noaa.nmfs.inport:65900
Rebecca Mataosky
2021-12-03T19:49:20
SysAdmin InPortAdmin
2023-10-17T16:12:35
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16