2021 USGS Lidar: Coastal Louisiana
OCM Partners
Data Set
(DS)
| ID: 72308
| Published / External
Created: 2024-03-07
|
Last Modified: 2024-03-13
Project (PRJ) | ID: 49401
ID: 72308
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2021 USGS Lidar: Coastal Louisiana |
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Short Name | la2021_coastal_m9853_metadata |
* Status | Completed |
Creation Date | 2021 |
Revision Date | |
• Publication Date | 2022-09-14 |
* » Abstract |
Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 1,000 m x 1,000 m tiles; used to create intensity images, 3D breaklines and hydro-flattened DEMs as necessary. Geographic Extent: LA_CoastalLouisiana_1 (Work Unit 197958) covering approximately 2,200 square miles in Jefferson, Orleans, Plaquemines, and St. Bernard Parishes LA_CoastalLouisiana_2 (Work Unit 228382) covering approximately 734 square miles in Jefferson, Lafourche, Plaquemines, and St. Charles Parishes Dataset Description: The LA Coastal Louisiana Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 2.1. The data were developed based on a horizontal datum/projection of NAD83 (2011) UTM Zone 15N (LA_CoastalLouisiana_2 (Work Unit 228382)) and 16N (LA_CoastalLouisiana_1 (Work Unit 197958)), Universal Transverse Mercator, meters and a vertical datum of NAVD88 (GEOID18), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to individual 1,000 m x 1,000 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 1,000 m x 1,000 m schema. Ground Conditions: Lidar was collected in early 2021 and late 2021, while no snow was on the ground and rivers were at or below normal levels. LA_CoastalLouisiana_1 In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Dewberry, established a total of 34 ground control points that were used to calibrate the LA_CoastalLouisiana_1 (Work Unit 197958) lidar to known ground locations established throughout the LA Coastal Louisiana project area. An additional 111 independent accuracy checkpoints, 62 in Bare Earth and Urban landcovers (62 NVA points), 49 in Tall Grass and Brushland/Low Trees categories (49 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. LA_CoastalLouisiana_2 In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Dewberry, established a total of 17 ground control points that were used to calibrate the LA_CoastalLouisiana_2 (Work Unit 228328) lidar to known ground locations established throughout the LA Coastal Louisiana 2020 project area. An additional 48 independent accuracy checkpoints, 31 in Bare Earth and Urban landcovers (31 NVA points), 17 in Tall Grass and Brushland/Low Trees categories (17 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. The NOAA Office for Coastal Management (OCM) downloaded laz point data files from this USGS rockyweb site (https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/LA_CoastalLouisiana_2020_D20/). The data were processed to the NOAA Digital Coast Data Access Viewer (DAV) to make the data available for custom downloads. |
* Purpose |
To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 0.5 meter cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary. |
Notes | |
Other Citation Details | |
• Supplemental Information |
USGS Contract No. G16PC00020 CONTRACTOR: Dewberry. SUBCONTRACTOR: Digitial Aerial Solutions, LLC Lidar data were acquired and calibrated by Digitial Aerial Solutions. All follow-on processing was completed by the prime contractor.
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" : "ALS80_HP SN#8235", "ldrmaxnr" : "5", "ldrnps" : "0.29", "ldrdens" : "8", "ldranps" : "0.29", "ldradens" : "8", "ldrfltht" : "1277", "ldrfltsp" : "155", "ldrscana" : "30", "ldrscanr" : "58.4", "ldrpulsr" : "642.8", "ldrpulsd" : "3", "ldrpulsw" : "0.31", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.15", "ldrswatw" : "684.61", "ldrswato" : "30", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid18" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit. Noise classes, Class 7 and Class 18, were assigned the LAS withheld bit.", "lasolap" : "Swath "overage" points are assigned per the producer's discretion. Dewberry did not classify overage points.", "lasintr" : "16", "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" }, "lasclass" : {
"clascode" : "32", "clasitem" : "Levee" } }} |
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 |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 > LOUISIANA |
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 | None Planned |
Maintenance Note | |
» Data Presentation Form | Model (digital) |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
Entity Attribute Detail URL | |
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 | Dewberry, USGS |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2024 |
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 |
---|---|
* » Date Effective From | 2024 |
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 |
---|---|
* » Date Effective From | 2023 |
Date Effective To | |
Organization | U.S. Geological Survey |
Address |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
Email Address | |
Phone | |
Fax | |
Mobile | |
URL | https://usgs.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2024 |
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 |
---|---|
* » Date Effective From | 2024 |
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 | |
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* » Date Effective From | |
Date Effective To | |
* » Contact | |
* Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
Date Effective To | |
* » Contact | |
* Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
Date Effective To | |
* » Contact | |
* Contact Instructions |
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 | -90.028468 |
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* » E° Bound | -89.016823 |
* » N° Bound | 30.166536 |
* » S° Bound | 28.893298 |
* » Description |
LA_CoastalLouisiana_1 (Work Unit 197958) |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Vertical Minimum | |
Vertical Maximum |
Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2021-03-04 |
End | 2021-11-23 |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Dates of collection for LA_CoastalLouisiana_1 (Work Unit 197958) |
Extent Group 2
Extent Description |
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Extent Group 2 / Geographic Area 1
* » W° Bound | -90.37 |
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* » E° Bound | -89.99 |
* » N° Bound | 29.9 |
* » S° Bound | 29.06 |
* » Description |
LA_CoastalLouisiana_2 (Work Unit 228382) |
Extent Group 2 / Vertical Extent
EPSG Code | |
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Vertical Minimum | |
Vertical Maximum |
Extent Group 2 / Time Frame 1
* » Time Frame Type | Range |
---|---|
* » Start | 2021-03-04 |
End | 2021-04-05 |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Dates of collection for LA_CoastalLouisiana_2 (Work Unit 228382) |
Spatial Information
Spatial Resolution
Angular Distance | |
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Angular Distance Units | |
Horizontal Distance | |
Horizontal Distance Units | |
Vertical Distance | |
Vertical Distance Units | |
Equivalent Scale Denominator | |
Level of Detail Description |
Spatial Representation
Grid Representation Used? | No |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | No |
TIN Representation Used? | No |
Stereo Model Representation Used? | No |
Video Representation Used? | No |
Grid Representation
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Vector Representation
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Point Object Present? | |
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Surface Object Present? | |
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Reference Systems
Reference System
EPSG Code | EPSG:6319 | ||||||||||||||||||||||||||||
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Access Information
Data License | |
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Data License URL | |
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 | 2024-03-07 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9853/details/9853 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2024 - 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) | |
Distribution Format | Not Applicable |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2024-03-07 |
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End Date | Present |
» Download URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/LA_CoastalLouisiana_2020_D20/ |
Distributor | U.S. Geological Survey (2023 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in LAZ format, UTM 15N and 16N NAD83 (2011), meters coordinates and NAVD88 (Geoid18) elevations in meters. |
File Date/Time | |
File Type (Deprecated) | |
Distribution Format | LAS/LAZ - LASer |
File Size | |
Application Version | |
Compression | LAZ |
Review Status |
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» Download URL | |
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Compression | |
Review Status |
Start Date | |
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» Download URL | |
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Compression | |
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Review Status |
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://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/LA_CoastalLouisiana_2020_D20/USGS_LA_CoastalLouisiana_2020_D20_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. |
URL | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/LA_CoastalLouisiana_2020_D20/LA_CoastalLouisiana_1_2020/reports/LA_Coastal_Project_Report.pdf |
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Name | Lidar Report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the Dewberry report for LA_CoastalLouisiana project |
URL | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/LA_CoastalLouisiana_2020_D20/ |
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Name | USGS Additional Info |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_CoastalLouisiana_1_2020/ept.json |
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Name | USGS Entwine Point Tile (EPT) - LA_CoastalLouisiana_1 |
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 | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_CoastalLouisiana_2_2020/ept.json |
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Name | USGS Entwine Point Tile (EPT) - LA_CoastalLouisiana_2 |
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 | https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_CoastalLouisiana_1_2020/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/LA_CoastalLouisiana_2_2020/ept.json%22] |
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Name | USGS 3D View |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. |
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Description |
URL | |
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Description |
URL | |
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Name | |
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Description |
Activity Log
Activity Time | |
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Responsible Party | |
Description |
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Description |
Issues
Issue Date | |
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Author | |
Issue |
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Author | |
Issue |
Issue Date | |
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Author | |
Issue |
Technical Environment
Description |
Leica CloudPro; LP360; Microstation; Terrascan; ArcGIS 10.6; Windows 8; .las 1510 GB |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy |
Only checkpoints photo-identifiable in the intensity imagery can be used to test the horizontal accuracy of the lidar. Photo-identifiable checkpoints in intensity imagery typically include checkpoints located at the ends of paint stripes on concrete or asphalt surfaces or checkpoints located at 90 degree corners of different reflectivity, e.g. a sidewalk corner adjoining a grass surface. The xy coordinates of checkpoints, as defined in the intensity imagery, are compared to surveyed xy coordinates for each photo-identifiable checkpoint. These differences are used to compute the tested horizontal accuracy of the lidar. As not all projects contain photo-identifiable checkpoints, the horizontal accuracy of the lidar cannot always be tested. Fifteen checkpoints were determined to be photo-identifiable in the intensity imagery and were used to test the horizontal accuracy of the lidar dataset. Due to the small number of available checkpoints, the results reported herein are not considered statistically significant. Using NSSDA methodology (endorsed by the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014)), horizontal accuracy at the 95% confidence level (called Accuracyr) is computed by the formula RMSEr * 1.7308 or RMSExy * 2.448. No horizontal accuracy requirements or thresholds were provided for this project. However, this data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 41 cm RMSEx/RMSEy horizontal accuracy class which equates to a positional horizontal accuracy = ñ 1 meter at the 95% confidence level. Using this small sample of 15 photo-identifiable checkpoints, positional accuracy of this dataset was found to be RMSEx = 27.8 cm and RMSEy = 25.6 cm, which equates to ñ 65.4 cm at the 95% confidence level (0.378 m RMSEr). For more information see the Dewberry project report. The link to this report is provided in the URL section of this metadata record. |
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: NVA = 7.12 cm RMSEz, NVA Accuracyz at 95th confidence level = 13.95 cm VVA = 27.65 cm at the 95th percentile For more information see the USGS project report and the Dewberry project report. The links to these reports are provided in the URL section of this metadata record. |
Quantitation Limits | |
Bias | |
Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
Completeness Report |
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. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. |
Conceptual Consistency |
Data covers 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-NC |
» 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 cloud storage. |
Lineage
» Lineage Statement |
This data was collected by Dewberry for the U.S. Geological Survey USGS). The data were made available for download by USGS. The NOAA Office for Coastal Management (OCM) downloaded the data to make the data available for custom download from the NOAA OCM Digital Coast Data Access Viewer (DAV). |
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Sources
Citation Title | USGS LAZ Data Download - LA_CoastalLouisiana_1 |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | USGS |
Publish Date | |
Extent Type | |
Extent Start Date/Time | |
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Scale Denominator | |
Citation URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/LA_CoastalLouisiana_2020_D20/LA_CoastalLouisiana_1_2020/LAZ/ |
Citation URL Name | USGS LAZ Data Download for LA_CoastalLouisiana_1 |
Citation URL Description | |
Source Contribution |
Citation Title | USGS LAZ Data Download - LA_CoastalLouisiana_2 |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | USGS |
Publish Date | |
Extent Type | |
Extent Start Date/Time | |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/LA_CoastalLouisiana_2020_D20/LA_CoastalLouisiana_2_2020/LAZ/ |
Citation URL Name | USGS LAZ Data Download for LA_CoastalLouisiana_2 |
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Process Step Number | 1 |
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The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSEz within individual swaths and less than or equal to 8 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 2.1, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening. |
Process Date/Time | 2022-07-01 00:00:00 |
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Process Step Number | 2 |
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LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.7 meters was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. 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. The withheld bit was set on the withheld points previously identified in TerraScan before the ground classification routine was performed. The withheld bit was set on class 7 and class 18 in TerraScan after all classification was complete. Dewberry proprietary software was then used to create the deliverable industry-standard LAS files for both the Point Cloud Data and the Bare Earth. Dewberry proprietary software 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. |
Process Date/Time | 2022-07-06 00:00:00 |
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Process Step Number | 3 |
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Data was tested at 0.31 meter nominal pulse spacing and 10.6 points per square meter (ppsm). The average density was tested on the LAS data using geometrically reliable (withheld and noise points excluded) first-return points. (A)NPD was tested using rasters which produce the average number of points within each cell. |
Process Date/Time | 2022-07-06 00:00:00 |
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Process Step Number | 4 |
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The office for Coastal Management (OCM) downloaded the laz files from the UGSS rockyweb site for the LA_CoastalLouisiana _2020_D20 dataset. The data were in two folders/blocks, LA_CoastalLouisiana_1 (6250 files) and LA_CoastalLouisiana_2 (2084 files). The data were in UTM Zone 15N and 16N NAD83 (2011), meters coordinates and NAVD88 (Geoid18) elevations in meters. The points were classified as 1- Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Deck, 18 - High Noise, 20 - Ignored Ground, 32 - T - wall structure on top of levee. The class 32 points were only in LA_CoastalLouisiana_1 in St. Bernards Parish. The class 32 points were reclassified to 12. All points were processed to the NOAA Digital Coast Data Access Viewer (DAV) for data provisioning. The classes available on DAV are: 1,2,7,9,12,17,18,20. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges. 2. Internal OCM scripts were run on the laz files to: a. Re-classify the Class 32 points to 12 (Reserved). These points fall on T-wall structures that are located on top of levees in St. Bernard Parish. b. Convert from orthometric (NAVD88) elevations in meters to NAD83 (2011) ellipsoid elevations in meters using the Geoid18 model c. Convert the laz files from UTM Zone 15N and 16N NAD83 (2011), meters coordinates to geographic coordinates d. Assign the geokeys, sort the data by gps time and zip the data to database. |
Process Date/Time | 2024-03-12 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Catalog Details
Catalog Item ID | 72308 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2024-03-07 20:53+0000 |
Metadata Record Last Modified By | Rebecca Mataosky |
» Metadata Record Last Modified | 2024-03-13 12:24+0000 |
Metadata Record Published | 2024-03-12 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2024-03-12 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2025-03-12 |
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