2022 USGS Lidar: RI Statewide
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:71492 | Updated: June 19, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2022 USGS Lidar: RI Statewide, https://www.fisheries.noaa.gov/inport/item/71492.
Full Citation Examples
Products: This RI_StatewideLidar_2022_D22_QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at an aggregate nominal pulse spacing (ANPS) of 0.35 meters (8ppsm) for 1121 square miles. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification, 2022 rev. A. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Coordinate System, Rhode Island, FIPS 3800, US Survey Feet vertical datum of NAVD88 (GEOID18). Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 5467 individual 2500 ft x 2500 ft tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema.
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.
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LAS/LAZ - LASer
Bulk download of laz point data in horizontal projection/datum of NAD83 (2011), State Plane Coordinate System, Rhode Island, FIPS 3800, US Survey Feet, vertical datum of NAVD88 (GEOID18) in feet.
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.
Controlled Theme Keywords
COASTAL ELEVATION, EARTH SCIENCE, 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
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-71.89° W,
-71.12° E,
42.03° N,
41.1° S
2022-03-26 - 2022-03-30
Item Identification
Title: | 2022 USGS Lidar: RI Statewide |
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Short Name: | ri2022_usgs_m9981_metadata |
Status: | Completed |
Creation Date: | 2022 |
Publication Date: | 2023-02-27 |
Abstract: |
Products: This RI_StatewideLidar_2022_D22_QL1 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at an aggregate nominal pulse spacing (ANPS) of 0.35 meters (8ppsm) for 1121 square miles. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification, 2022 rev. A. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane Coordinate System, Rhode Island, FIPS 3800, US Survey Feet vertical datum of NAVD88 (GEOID18). Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 5467 individual 2500 ft x 2500 ft tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema. 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: |
This high resolution lidar data will support the United States Geological Survey (USGS) initiatives. |
Supplemental Information: |
USGS Contract No. G17PC00015 CONTRACTOR: Fugro Geospatial, Inc. SUBCONTRACTOR: Terrasurv, Inc. Ground control and checkpoints collected by Terrasurv, Inc. All processing was completed by the prime contractor. Point Cloud File Type = LAS v1.4 Point Record Format 6, 7, 8, 9, or 10 including "File Source ID" The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v2.1", "ldrsens" : "Riegl LMS-Q1560i", "ldrmaxnr" : "7", "ldrnps" : "0.5", "ldrdens" : "4", "ldranps" : "0.5", "ldradens" : "4", "ldrfltht" : "732", "ldrfltsp" : "125", "ldrscana" : "60", "ldrscanr" : "130; 110", "ldrpulsr" : "330; 340", "ldrpulsd" : "3", "ldrpulsw" : "0.8994", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "? 0.25", "ldrswatw" : "832", "ldrswato" : "30", "ldrgeoid" : "National Geodetic Survey (NGS) GEOID18" }, "ldrinfo" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v2.1", "ldrsens" : "ALS80", "ldrmaxnr" : "4", "ldrnps" : "0.50", "ldrdens" : "2", "ldranps" : "0.50", "ldradens" : "2", "ldrfltht" : "2260", "ldrfltsp" : "150", "ldrscana" : "26.5", "ldrscanr" : "52", "ldrpulsr" : "534", "ldrpulsd" : "2.5", "ldrpulsw" : "0.75", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.26", "ldrswatw" : "2000", "ldrswato" : "18", "ldrgeoid" : "National Geodetic Survey (NGS) GEOID18" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "There were no withheld points identified in this project. All points were used in the classification.", "lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.", "lasintr" : "16 bit", "lasclass" : {
"clascode" : "1", "clasitem" : "Processed but unclassified" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Bare-earth ground" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : {
"clascode" : "9", "clasitem" : "Water" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : {
"clascode" : "20", "clasitem" : "Ignored Ground (breakline proximity)" }, "lasclass" : {
"clascode" : "22", "clasitem" : "Temporal Exclusion" } }} |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE
|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
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 > RHODE ISLAND
|
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 |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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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 NOAA, the Office for Coastal Management or its partners. |
Data Set Credit: | Fugro, USGS |
Support Roles
Data Steward
Date Effective From: | 2023 |
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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
Date Effective From: | 2023 |
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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
Date Effective From: | 2023 |
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Date Effective To: | |
Contact (Organization): | U.S. Geological Survey |
Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
URL: | USGS Home |
Metadata Contact
Date Effective From: | 2023 |
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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
Date Effective From: | 2023 |
---|---|
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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -71.89 | |
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E° Bound: | -71.12 | |
N° Bound: | 42.03 | |
S° Bound: | 41.1 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2022-03-26 |
End: | 2022-03-30 |
Spatial Information
Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Vector Representation 1
Point Object Present?: | Yes |
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Point Object Count: | 61102927496 |
Reference Systems
Reference System 1
Coordinate Reference System |
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Reference System 2
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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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
Start Date: | 2023-11-22 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9981/details/9981 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2023 - 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
Start Date: | 2023-11-22 |
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End Date: | Present |
Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/RI_Statewide_D22/RI_Statewide_1_D22/LAZ/ |
Distributor: | U.S. Geological Survey (2023 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of laz point data in horizontal projection/datum of NAD83 (2011), State Plane Coordinate System, Rhode Island, FIPS 3800, US Survey Feet, vertical datum of NAVD88 (GEOID18) in feet. |
Distribution Format: | LAS/LAZ - LASer |
Compression: | LAZ |
URLs
URL 1
URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/RI_Statewide_1_D22/ept.json |
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Name: | USGS Entwine Point Tile (EPT) |
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 2
URL: | https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/RI_Statewide_1_D22%22 |
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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 3
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/RI_Statewide_D22/RI_Statewide_1_D22/reports/lidar_mapping_report/RI_StatewideLidar_2022_D22_QL1_Lidar_Mapping_Report.pdf |
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Name: | Lidar Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the Fugro lidar report |
URL 4
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/RI_Statewide_D22/RI_Statewide_1_D22/ |
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Name: | USGS Additional Info |
URL Type: |
Online Resource
|
Description: |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL 5
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/RI_Statewide_D22/USGS_RI_Statewide_D22_Project_Report.pdf |
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Name: | USGS Project Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. |
Technical Environment
Description: |
POSGNS 5.2; POSPac 6.2; RiProcess 1.8.3; RiWorld 5.0.2; RiAnalyze 6.2; RiServer 1.99.5; Microstation CONNECT 10.00.00.25; TerraScan 017.039 and 016.013; TerraModeler 016.001; Lasedit 1.35.07; GeoCue 2014.1.21.5; ArcMap 10.3; Global Mapper 17.1.2; ERDAS Imagine 2016; PhotoShop CS8; Fugro proprietary software; Windows 7 64-bit Operating System \\server\directory path\*.las \\server\directory path\*.las \\server\directory path\*.img \\server\directory path\*.gdb \\server\directory path\*.tif/tfw 1440 GB |
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Data Quality
Horizontal Positional Accuracy: |
This data was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 24 (cm) RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 58.6 cm at 95% confidence level. |
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Vertical Positional Accuracy: |
This data was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. USGS Determined Vertical Accuracy: Non-Vegetated Vertical Accuracy (NVA) = 2.17 cm RMSE Vegetated Vertical Accuracy (VVA) = 9.12 cm at 95th Percentile |
Completeness Report: |
A complete iteration of processing (GPS/IMU Processing, Raw Lidar Data Processing, and Verification of Coverage and Data Quality) was performed to ensure that the acquired data was complete, uncorrupted, and that the entire project area had been covered without gaps between flight lines. No void areas or missing data exist. The raw point cloud is of good quality and data passes Vertical Accuracy requirements. The Classified Point Cloud data files include all data points collected except the ones from Cross ties and Calibration lines. The points that have been removed or excluded are the points fall outside the project delivery boundary. Points are classified. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The classified point cloud is of good quality and data passes Vertical Accuracy requirements. The Intensity Image files cover the entire project delivery boundary. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The Intensity Image product is of good quality. The Hydro Breaklines cover the entire project delivery boundary and extend beyond the boundary in a few locations. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The Hydro Breakline product is of good quality. The DEM raster files cover the entire project delivery boundary. The pixels that fall outside the project delivery boundary are set to Void with a unique NODATA value. The value is identified in the file headers. There are no void pixels inside the project boundary. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The bare earth surface is of good quality and passes Vertical Accuracy requirements. |
Conceptual Consistency: |
Compliance with the accuracy standard was ensured by the collection of ground control and the establishment of GPS base stations in the project area. The following checks were performed: 1) The lidar data accuracy was validated by performing a full boresight adjustment and then checking it against the ground control prior to generating a digital terrain model (DTM) or other products. 2) Lidar elevation data was validated through an inspection of edge matching and visual inspection for quality (artifact removal). The following software was used for the validation: 1) RiProcess 1.8.3, RiWorld 5.0.2, RiAnalyze 6.2, RiServer 1.99.5; and 2) Fugro proprietary software; 20220520. |
Data Management
Have Resources for Management of these Data Been Identified?: | Yes |
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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 Tile (EPT) files 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. |
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Sources
USGS AWS Entwine Point Tile (EPT)
Contact Role Type: | Publisher |
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Contact Type: | Organization |
Contact Name: | USGS |
Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/RI_Statewide_1_D22/ept.json |
Citation URL Name: | Entwine Point Tile (EPT) for RI_Statewide _1 |
Process Steps
Process Step 1
Description: |
Once boresighting was complete for the project, the project was first set up for automatic classification. The lidar data was cut to production tiles. The low noise points, high noise points and ground points were classified automatically in this process. Fugro utilized commercial software, as well as proprietary, in-house developed software for automatic filtering. The parameters used in the process were customized for each terrain type to obtain optimum results. Once the automated filtering was completed, the files were run through a visual inspection to ensure that the filtering was not too aggressive or not aggressive enough. In cases where the filtering was too aggressive and important terrain were filtered out, the data was either run through a different filter within local area or was corrected during the manual filtering process. Bridge deck points were classified as well during the interactive editing process. Interactive editing was completed in visualization software that provides manual and automatic point classification tools. Fugro utilized commercial and proprietary software for this process. All manually inspected tiles went through a peer review to ensure proper editing and consistency. After the manual editing and peer review, all tiles went through another final automated classification routine. This process ensures only the required classifications are used in the final product (all points classified into any temporary classes during manual editing will be re-classified into the project specified classifications). Once manual inspection, QC and final autofilter is complete for the lidar tiles, the LAS data was packaged to the project specified tiling scheme, clipped to project boundary and formatted to LAS v1.4. The file header was formatted to meet the project specification with File Source ID assigned. This Classified Point Cloud product was used for the generation of derived products. This product was delivered in fully compliant LAS v1.4, Point Record Format 6 with Adjusted Standard GPS Time at a precision sufficient to allow unique timestamps for each pulse. Correct and properly formatted georeference information as Open Geospatial Consortium (OGC) well known text (WKT) was assigned in all LAS file headers. Each tile has unique File Source ID assigned. The Point Source ID matches to the flight line ID in the flight trajectory files. Intensity values are included for each point, normalized to 16-bit. The following classifications are included: Class 1 - Processed, but unclassified; Class 2 - Bare earth ground; Class 7 - Low Noise; Class 9 - Water; Class 17 - Bridge Decks; Class 18 - High Noise; Class 20 - Ignored Ground (breakline proximity). The classified point cloud data was delivered in tiles without overlap using the project tiling scheme. |
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Process Date/Time: | 2022-04-15 00:00:00 |
Process Step 2
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 the vertical units were converted to meters (NAVD88 Geoid18). |
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Process Contact: | U.S. Geological Survey |
Process Step 3
Description: |
The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) file that was 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. This is the AWS URL being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/RI_Statewide_1_D22/ept.json |
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Process Date/Time: | 2023-12-01 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 71492 |
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GUID: | gov.noaa.nmfs.inport:71492 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2023-11-22 19:47+0000 |
Metadata Record Last Modified By: | Rebecca Mataosky |
Metadata Record Last Modified: | 2024-06-19 19:53+0000 |
Metadata Record Published: | 2023-11-22 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2023-11-22 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2024-11-22 |