2019 USGS Lidar: Eldorado CA
OCM Partners
Data Set
(DS)
| ID: 66639
| Published / External
Created: 2022-02-16
|
Last Modified: 2023-10-17
Project (PRJ) | ID: 49401
ID: 66639
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2019 USGS Lidar: Eldorado CA |
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Short Name | ca2019_eldorado_m9452_metadata |
* Status | Completed |
Creation Date | 2019 |
Revision Date | |
• Publication Date | 2022 |
* » Abstract |
The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the entirety of the CA_UpperSouthAmerican_Eldorado_2019_B19 boundary, approximately 2,275 square miles of the AOIs. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off. How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. The USGS/BLM contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning, acquisition and development of Light Detection and Ranging (Lidar) data and derivative products. The task order is for a QL1 LiDAR survey to be collected over Alameda, Alpine, Amador, Calveras, El Dorado, Placer, Sacramento, San Joaquin, Santa Clara and Stanislaus counties in California. 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. |
* Purpose |
The deliverable products would be used by the USGS/BLM for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and other environmental purposes. |
Notes | |
Other Citation Details | |
• 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: 0.35 Meters Tile Size: 2,500 Feet 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 Terrian Mapper SN# 90524", "ldrmaxnr" : "15", "ldrnps" : "0.35", "ldrdens" : "8.11", "ldranps" : "0.35", "ldradens" : "8.11", "ldrfltht" : "1900", "ldrfltsp" : "170", "ldrscana" : "40.0", "ldrscanr" : "150.0", "ldrpulsr" : "1,540", "ldrpulsd" : "3.3", "ldrpulsw" : "0.45", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.25", "ldrswatw" : "13383.09", "ldrswato" : "30-55", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid 12B" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0", "clsnvan" : "0", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in the files using the standard LAS Withheld bit.", "lasolap" : "Swath âÂÂoverageâ points were identified in these files using the standard LAS overlap bit.", "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" : "Ignored Ground" }, "lasclass" : {
"clascode" : "21", "clasitem" : "Snow" }, "lasclass" : {
"clascode" : "22", "clasitem" : "Temporal Exclusion" } }} |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION |
ISO 19115 Topic Category | elevation |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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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 > CALIFORNIA |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > LAND SURFACE |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
Platform Keywords
Thesaurus | Keyword |
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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 |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | As Needed |
Maintenance Note | |
» Data Presentation Form | Model (digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation |
None |
Entity Attribute Detail URL | |
Distribution Liability |
None, 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
* » Support Role | Data Steward |
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* » Date Effective From | 2022 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2022 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2022 |
Date Effective To | |
Organization | U.S. Geological Survey |
Address |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
Email Address | |
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URL | https://usgs.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2022 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2022 |
Date Effective To | |
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 |
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URL | https://coast.noaa.gov |
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Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -121.644597 |
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* » E° Bound | -119.828068 |
* » N° Bound | 38.960705 |
* » S° Bound | 37.444738 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Discrete |
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* » Start | 2020-03-05 |
End | |
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Description |
Extent Group 1 / Time Frame 2
* » Time Frame Type | Range |
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* » Start | 2019-10-21 |
End | 2019-11-02 |
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Description |
Spatial Information
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Spatial Representation
Grid Representation Used? | |
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Vector Representation Used? | Yes |
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Reference Systems
Reference System
EPSG Code | EPSG:3857 | ||||||||||||||||||||||||||||
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EPSG Code | EPSG:5703 | ||||||||||||||||||||||||||||
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Access Information
Data License | |
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Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2022-02-16 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9452/details/9452 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2022 - 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 Date/Time | |
File Type (Deprecated) | Zip |
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Compression | Zip |
Review Status |
Start Date | 2022-02-16 |
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End Date | Present |
» Download URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_UpperSouthAmerican_Eldorado_2019_B19/CA_UpperSouthAmerican_Eldorado_2019/LAZ/ |
Distributor | U.S. Geological Survey (2022 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in LAZ format, based on a horizontal datum/projection of CA State Plane Zone 2 NAD83(2011) US Survey Feet (EPSG: 6418), and a vertical datum of NAVD88 (GEOID12B) in US Survey feet (EPSG: 6360). 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. |
File Date/Time | |
File Type (Deprecated) | LAZ |
Distribution Format | LAS/LAZ - LASer |
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Compression | Zip |
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Archive Information
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URLs
URL | https://coast.noaa.gov/dataviewer/ |
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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 | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9452/supplemental/ca2019_eldorado_m9452.kmz |
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Name | Browse graphic |
URL Type | Browse Graphic |
File Resource Format | KML |
Description |
This graphic displays the footprint for this lidar data set. |
URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_UpperSouthAmerican_Eldorado_2019_B19/ |
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Name | USGS Provided Data |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines. |
URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_UpperSouthAmerican_Eldorado_2019_B19/CA_UpperSouthAmerican_Eldorado_2019_B19_WP_Report.pdf |
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Name | USGS Work Package Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the USGS report that provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information. |
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Issues
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Technical Environment
Description |
Inertial Explorer ver: 8.9; Leica HxMap Ver:2.5.1; GeoCue Ver: 2014.1.21.4; Microstation V8i; Terresolid ver: 2015; LP360 ver: 2014.1.51.1; Arcmap ver: 10.4; Global Mapper ver: 16 |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
Vertical Positional Accuracy |
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 Non-Vegetated Vertical Accuracy (NVA) = 5.6 cm RMSE Vegetated Vertical Accuracy (VVA) = 21.94 cm at the 95th Percentile Please refer to the USGS Work Package report in the URL section of this metadata record for additional information about the vertical accuracy determinations. |
Quantitation Limits | |
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Comparability | |
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Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
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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 2,275 square mile Area of Interest 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. |
» Quality Control Procedures Employed |
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 |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed | |
» Actual or Planned Long-Term Data Archive Location | NCEI-CO |
» Approximate Delay Between Data Collection and Archiving | |
» 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
» Lineage Statement |
The CA Eldorado lidar was ingested into the Data Access Viewer for custom product generation by leveraging USGS hosted Entwine Point Tiles. |
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Sources
Citation Title | Entwine Point Tiles on AWS |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | USGS |
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Citation URL | https://usgs.entwine.io/ |
Citation URL Name | USGS Entwine Point Cloud |
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Process Steps
Process Step Number | 1 |
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» Description |
Aerial LiDAR Acquisition: LiDAR acquisition was done using Carson City Airport (KCXP),Placerville Airport(JS4761),Tracy Municipal Airport (KTCY) and Columbia Airport(O22). DAS used two dedicated GPS base station located at the respective airports to support the aerial LiDAR acquisition. DAS used Leica’s Terrian Mapper LiDAR Sensor (SN90524) for the acquisition. The project consisted of 399 flightlines totaling 8,871.32 nautical miles. The acquisition was completed in 22 lifts on October 21st - November 2nd,2019 and March 5th, 2020. Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of One Hundred Sixty-Three (163) check points (94 NVA + 69 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 conducted between October 22, 2019 and it was completed October 30, 2019 with Leica GPS GS15 and 1200 equipment. |
Process Date/Time | 2020-02-15 00:00:00 |
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Source |
Process Step Number | 2 |
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» 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 | 2020-01-24 00:00:00 |
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Process Step Number | 3 |
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» 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 | 2020-01-25 00:00:00 |
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Source |
Process Step Number | 4 |
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» 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). Vertically, the data were converted to meters and no changes were made to the vertical datum (NAVD88 GEOID12B; EPSG 5703). |
Process Date/Time | |
Process Contact | U.S. Geological Survey |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 5 |
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» Description |
References to the entwine point tiles and data reports were ingested into the Digital Coast Data Access Viewer. No changes to the data were made at this point. The Data Access Viewer will access the point cloud as it resides on AWS under the usgs-lidar-public container. |
Process Date/Time | 2022-02-16 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
Instruments
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Catalog Details
Catalog Item ID | 66639 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2022-02-16 16:48+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 Workflow State | Published / External |
Metadata Last Review Date | 2022-03-16 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-03-16 |
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