2019 LaDOTD Lidar: LA CPRA
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:64846 | Updated: October 17, 2023 | Published / External
Item Identification
Title: | 2019 LaDOTD Lidar: LA CPRA |
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Short Name: | la2019_cpra_m9342_metadata |
Status: | Completed |
Creation Date: | 2019 |
Publication Date: | 2020-06-01 |
Abstract: |
This high resolution lidar data will support the Louisiana Department of Transportation and Development (LADOTD) Initiatives. Coastal Protection and Restoration Authority (CPRA). Geographic Extent: The entire project area covers several parishes in Louisiana. The AOI is 6,289 square miles including a 100 meter buffer. Dataset Description: This CPRA_LADOTD_Lidar_2019 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). Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. Lidar data was delivered as processed Classified LAS 1.4 files. Ground Conditions: Lidar was collected from March 27, 2019 through November 4, 2019 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, Fugro established a total of 82 ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional 240 independent accuracy checkpoints were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. |
Purpose: |
This high resolution lidar data will support the Louisiana Department of Transportation and Development (LADOTD) initiatives. |
Supplemental Information: |
CPRA Contract No. 4400010335 CONTRACTOR: Fugro Geospatial, Inc. 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 v1.3", "ldrsens" : "ALS80", "ldrmaxnr" : "7", "ldrnps" : "0.5", "ldrdens" : "4", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "2775", "ldrfltsp" : "150", "ldrscana" : "29", "ldrscanr" : "53", "ldrpulsr" : "610", "ldrpulsd" : "3", "ldrpulsw" : "0.8994", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.26", "ldrswatw" : "1435", "ldrswato" : "60", "ldrgeoid" : "National Geodetic Survey (NGS) GEOID12B" }, "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" : "21", "clasitem" : "Snow (where reliable identifiable)" }, "lasclass" : {
"clascode" : "22", "clasitem" : "Temporal Exlusion (typically non-favored data in intertidal zones)" } }} |
Keywords
Theme Keywords
Thesaurus | Keyword |
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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
|
UNCONTROLLED | |
None | erosion |
None | Intensity Images |
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 > LOUISIANA
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
UNCONTROLLED | |
None | Continent > North America > United States Of America > Louisiana > Bienville Parish |
None | Continent > North America > United States Of America > Louisiana > Claiborne Parish |
None | Continent > North America > United States Of America > Louisiana > East Baton Rouge Parish |
None | Continent > North America > United States Of America > Louisiana > East Feliciana Parish |
None | Continent > North America > United States Of America > Louisiana > Iberville Parish |
None | Continent > North America > United States Of America > Louisiana > Jackson Parish |
None | Continent > North America > United States Of America > Louisiana > Lincoln Parish |
None | Continent > North America > United States Of America > Louisiana > St. Martin Parish |
None | Continent > North America > United States Of America > Louisiana > St. Mary Parish |
None | Continent > North America > United States Of America > Louisiana > Union Parish |
None | Continent > North America > United States Of America > Louisiana > Webster Parish |
None | Continent > North America > United States Of America > Louisiana > West Baton Rouge Parish |
None | Continent > North America > United States Of America > Louisiana > West Feliciana Parish |
None | Continent > North America > United States Of America > Louisiana > Winn Parish |
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 |
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: | 2021 |
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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: | 2021 |
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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 |
Distributor
Date Effective From: | 2021 |
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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 |
Metadata Contact
Date Effective From: | 2021 |
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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: | 2021 |
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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 |
Extents
Currentness Reference: | Ground Condition |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -93.537039 | |
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E° Bound: | -91.094646 | |
N° Bound: | 33.024685 | |
S° Bound: | 29.494311 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2019-03-27 |
End: | 2019-11-04 |
Description: |
Date of collection for all 5 blocks that make up this data set. |
Extent Group 1 / Time Frame 2
Time Frame Type: | Range |
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Start: | 2019-03-27 |
End: | 2019-04-10 |
Description: |
Dates of collection for Block 1. |
Extent Group 1 / Time Frame 3
Time Frame Type: | Range |
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Start: | 2019-04-10 |
End: | 2019-11-04 |
Description: |
Dates of collection for Block 5. |
Extent Group 1 / Time Frame 4
Time Frame Type: | Range |
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Start: | 2019-04-26 |
End: | 2019-11-01 |
Description: |
Dates of collection for Block 4. |
Extent Group 1 / Time Frame 5
Time Frame Type: | Range |
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Start: | 2019-05-14 |
End: | 2019-06-19 |
Description: |
Dates of collection for Block 2. |
Extent Group 1 / Time Frame 6
Time Frame Type: | Range |
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Start: | 2019-06-11 |
End: | 2019-10-24 |
Description: |
Dates of collection for Block 3. |
Spatial Information
Spatial Resolution
Horizontal Distance: | 0.35 Meter |
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Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
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: | 2021-07-08 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9342/details/9342 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2021 - 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
Start Date: | 2021-07-08 |
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End Date: | Present |
Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/LA_CPRA_2019_C20/ |
Distributor: | U.S. Geological Survey (2021 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, original coordinates, orthometric heights. 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 are linked here for convenience. |
File Type (Deprecated): | LAZ |
Distribution Format: | LAS/LAZ - LASer |
Compression: | Zip |
URLs
URL 1
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 2
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9342/supplemental/la2019_cpra_m9342.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 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9342/supplemental/la2019_cpra_blocks_m9342.kmz |
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Name: | Browse graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | KML |
Description: |
This data set consists of five blocks of data. This graphic displays the individual boundaries of the five blocks of data that make up the entire data set. |
URL 4
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9342/breaklines/ |
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Name: | Breaklines |
URL Type: |
Online Resource
|
File Resource Format: | Zip |
Description: |
Link to the data set hydro breaklines. |
URL 5
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9342/supplemental/LA_CPRA_2019_C20_WP_Report.pdf |
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Name: | USGS Work Package Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the USGS Work Package Report. |
URL 6
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9342/supplemental/CPRA_LADOTD_Lidar_2019_Collection_Report.pdf |
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Name: | Fugro Collection Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the Fugro Collection Report. |
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
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. The USGS determined vertical accuracy: Tested NVA = 8.62 cm at the 95% confidence level (4.4 cm RMSE) Tested VVA = 17.72 cm at the 95th percentile |
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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; 20190701. |
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-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
Lineage Statement: |
The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles 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
CPRA_LADOTD_2019_Lidar Ground Control Report
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Fugro |
Publish Date: | 2019-07-03 |
Extent Type: | Range |
Extent Start Date/Time: | 2019-03-27 |
Extent End Date/Time: | 2019-11-04 |
Source Contribution: |
All surveying activities were performed by Fugro. A total of 82 ground control points to support the lidar collection, along with 139 NVA and 101 VVA checkpoints were collected. The National Spatial Reference System (NSRS) was used to provide control for the network The horizontal datum was the North American Datum of 1983 NAD83 (2011), epoch 2010.0. The vertical datum was the North American Vertical Datum of 1988 (NAVD88), realized with GEOID12B. |
CPRA_LADOTD_Lidar_2019 Aerial Acquisition
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | Fugro |
Source Contribution: |
Fugro collected ALS-derived lidar for the CPRA_LADOTD_2019_Lidar AOI with 0.35 meters ANPS. Data was collected when environmental conditions meet the criteria specified. To be specific, the following conditions existed prior to launch of the aircraft: 1) Cloud and fog-free between the aircraft and ground, 2) Snow free, 3) No unusual flooding or inundation, and 4) Leaf on. The lidar collection for the CPRA_LADOTD_2019_Lidar AOI was accomplished from March 27 through November 4,2019; flight lines were acquired in 73 lifts. |
USGS AWS Entwine Point Tiles
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/LA_CPRA_B1_2019/ept.json |
Citation URL Name: | Entwine Point Tiles for LA_CPRA_B1_2019 |
USGS AWS Entwine Point Tiles
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/LA_CPRA_B2_2019/ept.json |
Citation URL Name: | Entwine Point Tiles for LA_CPRA_B2_2019 |
USGS AWS Entwine Point Tiles
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/LA_CPRA_B3_2019/ept.json |
Citation URL Name: | Entwine Point Tiles for LA_CPRA_B3_2019 |
USGS AWS Entwine Point Tiles
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/LA_CPRA_B5_2019/ept.json |
Citation URL Name: | Entwine Point Tiles for LA_CPRA_B5_2019 |
USGS AWS Entwine Point Tiles
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/LA_CPRA_B4_2019/ept.json |
Citation URL Name: | Entwine Point Tiles for LA_CPRA_B4_2019 |
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 including the 100 meter buffer and formatted to LAS v1.4. It was also re-projected to NAD83 (2011), Universal Transverse Mercator (UTM) Zone 15, meters, and vertical datum of NAVD88 (GEOID12B), meters. 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); Class 21 - snow; Class 22 - Temporal Exclusion. The classified point cloud data was delivered in tiles without overlap using the project tiling scheme. |
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Process Date/Time: | 2019-10-01 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 reprojected horizontally to WGS84 web mercator (EPSG 3857) and no changes were made to the vertical (NAVD88 GEOID12B meters). |
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Process Contact: | U.S. Geological Survey |
Process Step 3
Description: |
References to the Entwine Point Tiles (EPT) were ingested into the 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: 1. Block 1 - https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_CPRA_B1_2019/ept.json 2. Block 2 - https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_CPRA_B2_2019/ept.json 3. Block 3 - https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_CPRA_B3_2019/ept.json 4. Block 4 - https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_CPRA_B4_2019/ept.json 5. Block 5 - https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_CPRA_B5_2019/ept.json The data reports and breaklines were downloaded from this USGS site: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/LA_CPRA_2019_C20/ |
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Process Date/Time: | 2021-07-07 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Source: | USGS AWS Entwine Point Tiles |
Catalog Details
Catalog Item ID: | 64846 |
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GUID: | gov.noaa.nmfs.inport:64846 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2021-07-08 14:39+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 |