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Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Issues
Data Quality
Data Management
Lineage
Catalog Details

Summary

Short Citation
OCM Partners, 2024: 2018 - 2019 USGS Lidar: GA Statewide, https://www.fisheries.noaa.gov/inport/item/67264.
Full Citation Examples

Abstract

USGS task order 140G0218F0420 required Winter, 2018/Spring, 2019 LiDAR surveys to be collected over 32,562 square miles covering part or all of 82 counties in Georgia and 3 partial counties in South Carolina in support of the State of Georgia and the USGS 3DEP program. Aerial LiDAR data for this task order was planned, acquired, processed and produced at an aggregate nominal pulse spacing (ANPS) of 0.71 meters and in compliance with USGS National Geospatial Program LiDAR Base Specification version 1.3.

Class 3 is Low Vegetation (0.5 - 5 ft)

Class 4 is Medium Vegetation (5 - 20 ft)

Class 5 is High Vegetation (> 20 ft)

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. There are issues for this dataset leveraging the EPT format. See the completeness report section for more information.

Distribution Information

  • 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.

  • LAS/LAZ - LASer

    Bulk download of data files in LAZ format, based on a horizontal datum/projection of Albers Conic, NAD83(2011), meters (EPSG: 6350) and a vertical datum of NAVD88 (GEOID12B) and units in meters (EPSG: 5703). 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.

Access Constraints:

None

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.

Controlled Theme Keywords

COASTAL ELEVATION, 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

Geographic Area 1

-85.619201° W, -80.819437° E, 35.011998° N, 30.348528° S

Time Frame 1
2019-01-27 - 2019-04-22

Dates of collection for B1.

Time Frame 2
2019-01-28 - 2019-04-24

Dates of collection for B2.

Time Frame 3
2019-03-23 - 2019-04-24

Dates of collection for B3 (Block 3).

Time Frame 4
2018-11-29 - 2019-04-22

Dates of collection for B6 (Block 7).

Time Frame 5
2018-11-28 - 2019-01-28

Dates of collection for B8 (Block 5).

Time Frame 6
2018-12-05 - 2019-03-18

Dates of collection for B9 (Block 6).

Time Frame 7
2019-02-08 - 2019-04-23

Dates of collection for B10 (Block 9).

Time Frame 8
2019-01-26 - 2019-04-23

Dates of collection for B11(Block 8).

Time Frame 9
2019-03-29 - 2019-04-16

Dates of collection for B4 (Block 4A).

Time Frame 10
2019-01-22 - 2019-04-23

Date of collection for B5 (Block 11).

Time Frame 11
2018-11-27 - 2019-04-03

Dates of collection for B7 (Block 4B).

Time Frame 12
2019-02-08 - 2019-04-23

Dates of collection for B12 (Block 10).

Item Identification

Title: 2018 - 2019 USGS Lidar: GA Statewide
Short Name: ga2018_statewide_m9508_metadata
Status: Completed
Creation Date: 2018
Publication Date: Unknown
Abstract:

USGS task order 140G0218F0420 required Winter, 2018/Spring, 2019 LiDAR surveys to be collected over 32,562 square miles covering part or all of 82 counties in Georgia and 3 partial counties in South Carolina in support of the State of Georgia and the USGS 3DEP program. Aerial LiDAR data for this task order was planned, acquired, processed and produced at an aggregate nominal pulse spacing (ANPS) of 0.71 meters and in compliance with USGS National Geospatial Program LiDAR Base Specification version 1.3.

Class 3 is Low Vegetation (0.5 - 5 ft)

Class 4 is Medium Vegetation (5 - 20 ft)

Class 5 is High Vegetation (> 20 ft)

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. There are issues for this dataset leveraging the EPT format. See the completeness report section for more information.

Purpose:

Aerial lidar was collected to support the mapping efforts of individual counties in the State of Georgia and the USGS 3DEP program.

Supplemental Information:

Prime Contractor: The Atlantic Group, LLC. Lidar data were acquired and calibrated by The Atlantic Group. All follow-on processing was completed by the prime contractor.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "Base Specifications 1.3",

"ldrsens" : "Leica ALS70-HP",

"ldrmaxnr" : "5",

"ldrnps" : "0.5097",

"ldrdens" : "3.8487",

"ldranps" : "0.5052",

"ldradens" : "3.9173",

"ldrfltht" : "2000",

"ldrfltsp" : "130",

"ldrscana" : "45",

"ldrscanr" : "35.1",

"ldrpulsr" : "265",

"ldrpulsd" : "4",

"ldrpulsw" : "0.30",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.15",

"ldrswatw" : "1663",

"ldrswato" : "20",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B"

},

"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 these files using the standard LAS Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed but unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-earth ground"

},

"lasclass" : {

"clascode" : "3",

"clasitem" : "Low Vegetation (0.5 – 5 feet)"

},

"lasclass" : {

"clascode" : "4",

"clasitem" : "Medium Vegetation (5 – 20 feet)"

},

"lasclass" : {

"clascode" : "5",

"clasitem" : "High Vegetation (>20 feet)"

},

"lasclass" : {

"clascode" : "6",

"clasitem" : "Building footprints"

},

"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 Exclusion (typically non-favored data in intertidal zones)"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
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
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 > GEORGIA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > SOUTH CAROLINA
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
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: Unknown
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: The Atlantic Group, LLC, USGS

Support Roles

Data Steward

CC ID: 1171797
Date Effective From: 2022
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

CC ID: 1171796
Date Effective From: 2022
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

CC ID: 1171818
Date Effective From: 2022
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1171798
Date Effective From: 2022
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

CC ID: 1171799
Date Effective From: 2022
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1171802
W° Bound: -85.619201
E° Bound: -80.819437
N° Bound: 35.011998
S° Bound: 30.348528

Extent Group 1 / Time Frame 1

CC ID: 1171832
Time Frame Type: Range
Start: 2019-01-27
End: 2019-04-22
Description:

Dates of collection for B1.

Extent Group 1 / Time Frame 2

CC ID: 1171833
Time Frame Type: Range
Start: 2019-01-28
End: 2019-04-24
Description:

Dates of collection for B2.

Extent Group 1 / Time Frame 3

CC ID: 1171834
Time Frame Type: Range
Start: 2019-03-23
End: 2019-04-24
Description:

Dates of collection for B3 (Block 3).

Extent Group 1 / Time Frame 4

CC ID: 1171836
Time Frame Type: Range
Start: 2018-11-29
End: 2019-04-22
Description:

Dates of collection for B6 (Block 7).

Extent Group 1 / Time Frame 5

CC ID: 1171838
Time Frame Type: Range
Start: 2018-11-28
End: 2019-01-28
Description:

Dates of collection for B8 (Block 5).

Extent Group 1 / Time Frame 6

CC ID: 1171839
Time Frame Type: Range
Start: 2018-12-05
End: 2019-03-18
Description:

Dates of collection for B9 (Block 6).

Extent Group 1 / Time Frame 7

CC ID: 1171840
Time Frame Type: Range
Start: 2019-02-08
End: 2019-04-23
Description:

Dates of collection for B10 (Block 9).

Extent Group 1 / Time Frame 8

CC ID: 1171841
Time Frame Type: Range
Start: 2019-01-26
End: 2019-04-23
Description:

Dates of collection for B11(Block 8).

Extent Group 1 / Time Frame 9

CC ID: 1171801
Time Frame Type: Range
Start: 2019-03-29
End: 2019-04-16
Description:

Dates of collection for B4 (Block 4A).

Extent Group 1 / Time Frame 10

CC ID: 1171835
Time Frame Type: Range
Start: 2019-01-22
End: 2019-04-23
Description:

Date of collection for B5 (Block 11).

Extent Group 1 / Time Frame 11

CC ID: 1171837
Time Frame Type: Range
Start: 2018-11-27
End: 2019-04-03
Description:

Dates of collection for B7 (Block 4B).

Extent Group 1 / Time Frame 12

CC ID: 1171842
Time Frame Type: Range
Start: 2019-02-08
End: 2019-04-23
Description:

Dates of collection for B12 (Block 10).

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Reference Systems

Reference System 1

CC ID: 1171819

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:3857
EPSG Name: WGS 84 / Pseudo-Mercator
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1171820

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
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

CC ID: 1171803
Start Date: 2022-05-19
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9508/details/9508
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 Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1171804
Start Date: 2022-05-19
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/GA_Statewide_2018_B18_DRRA/
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 Albers Conic, NAD83(2011), meters (EPSG: 6350) and a vertical datum of NAVD88 (GEOID12B) and units in meters (EPSG: 5703). 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 Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 1171795
URL: https://coast.noaa.gov/dataviewer/
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

CC ID: 1171846
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/GA_Statewide_2018_B18_DRRA/
Name: USGS Provided Data
URL Type:
Online Resource
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 3

CC ID: 1171847
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/GA_Statewide_2018_B18_DRRA/GA_Statewide_2018_B18_DRRA_WP_Report.pdf
Name: USGS Work Package Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS work package report that provides project information, vertical accuracy results, classifications used, sensors used, and work unit information.

URL 4

CC ID: 1171848
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_B1_2018/ept.json
Name: Entwine Point Tiles (EPT) for B1
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 5

CC ID: 1171849
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_B2_2018/ept.json
Name: Entwine Point Tiles (EPT) for B2
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 6

CC ID: 1171850
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_B3_2018/ept.json
Name: Entwine Point Tiles (EPT) for B3
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 7

CC ID: 1171851
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_B4_2018/ept.json
Name: Entwine Point Tiles (EPT) for B4
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 8

CC ID: 1171852
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_B5_2018/ept.json
Name: Entwine Point Tiles (EPT) for B5
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 9

CC ID: 1171853
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_B6_2018/ept.json
Name: Entwine Point Tiles (EPT) for B6
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 10

CC ID: 1171854
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_B7_2018/ept.json
Name: Entwine Point Tiles (EPT) for B7
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 11

CC ID: 1171855
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_B8_2018/ept.json
Name: Entwine Point Tiles (EPT) for B8
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 12

CC ID: 1171856
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_9_2018/ept.json
Name: Entwine Point Tiles (EPT) for 9
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 13

CC ID: 1171857
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_10_2018/ept.json
Name: Entwine Point Tiles (EPT) for 10
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 14

CC ID: 1171858
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_11_2018/ept.json
Name: Entwine Point Tiles (EPT) for 11
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 15

CC ID: 1171859
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/GA_Statewide_12_2018/ept.json
Name: Entwine Point Tiles (EPT) for 12
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.

Issues

Issue 1

CC ID: 1215238
Issue Date: 2023-01-24
Author: Waters, Kirk
Issue:

There is misclassification of vegetation as ground. These misclassified points are marked as overlap. Including the overlap flagged points when deriving ground products can have poor and unusable results.

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 terms NVA (Non-vegetated Vertical Accuracy) and VVA (Vegetated Vertical Accuracy) are from the ASPRS Positional Accuracy Standards for Digital Geospatial Data v1.3 (2014). The term NVA refers to assessments in clear, open areas (which typically produce only single lidar returns); the term VVA refers to assessments in vegetated areas (typically characterized by multiple return lidar).

USGS Determined Vertical Accuracy

Non-Vegetated Vertical Accuracy (NVA) = 7.2 cm RMSE

Vegetated Vertical Accuracy (VVA) = 18.69 cm at the 95th Percentile

Completeness Report:

Area of interest covers project area. 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 NVA 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.

There are issues in this dataset related to ground classification and overlap flags. Some areas have vegetation, including trees, classified as ground, but also marked as overlap. If the overlap data is included, derived products may not be representative of the ground. Data stored in EPT format does not include the overlap flag and there is no way to filter out the misclassifications. As of January 2023, the NOAA Data Access Viewer is leveraging EPT format data and has this problem.

Conceptual Consistency:

All lidar data and lidar derived data covers the entire area of interest. 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.

Low confidence polygons have been delivered with this dataset. These polygons represent areas where heavy vegetation or inundated areas greatly diminish penetration of the lidar pulse, resulting in a bare earth surface that is potentially less accurate due to the lack of lidar returns from the ground beneath the vegetation or surface water. Low confidence polygons delineate areas where conformance to VVA standards may not be met. The low confidence polygons created for this dataset were delineated according to the criteria and assumptions outlined in the ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014). Low confidence areas are identified using a ground density raster. All areas with a Nominal Ground Point Density less than the threshold of 0.5 pts/m2 are identified as low confidence cells in the ground density raster. The low confidence cells are exported to polygons and aggregated into larger shapes. Areas of expected low density in the ground, such as water or where buildings/structures have been removed, are deleted from the aggregated low confidence polygons. The size of all polygons is then calculated and polygons below the minimum size threshold of 5 acres are removed from the final low confidence polygon dataset.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
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 GA Statewide lidar was ingested into the Data Access Viewer for custom product generation by leveraging USGS hosted Entwine Point Tiles.

Sources

Entwine Point Tiles on AWS

CC ID: 1171843
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://usgs.entwine.io/
Citation URL Name: USGS Entwine Point Cloud

Process Steps

Process Step 1

CC ID: 1171787
Description:

Aircraft and Sensor Information and Flight Plan Execution:

Atlantic operated a Cessna (N732JE) outfitted with a Leica ALS70-HP LiDAR system during the collection of the project area. Atlantic acquired 212 passes of the AOI as a series of perpendicular and/or adjacent flight-lines executed in 25 flight missions conducted between February 8, 2019 and April 23, 2019. Onboard differential Global Navigation Satellite System (GNSS) unit(s) recorded sample aircraft positions at 2 hertz (Hz) or more frequency. LiDAR data was only acquired when a minimum of six (6) satellites were in view.

Twenty-two (22) Continuously Operating Reference Stations (CORS) were used to control the LiDAR acquisition for the defined project area.

Process Date/Time: 2019-04-23 00:00:00

Process Step 2

CC ID: 1171788
Description:

Ground Control Survey:

A total of 124 ground survey points were collected in support of this project, including 31 LiDAR Control Points (LCP), 46 Non-vegetated Vertical Accuracy (NVA) and 47 Vegetated Vertical Accuracy (VVA).

Point cloud data accuracy was tested against a Triangulated Irregular Network (TIN) constructed from LiDAR points in clear and open areas. A clear and open area can be characterized with respect to topographic and ground cover variation such that a minimum of five (5) times the Nominal Pulse Spacing (NPS) exists with less than 1/3 of the RMSEZ deviation from a low-slope plane. Slopes that exceed ten (10) percent were avoided.

Each land cover type representing ten (10) percent or more of the total project area were tested and reported with a VVA. In land cover categories other than dense urban areas, the tested points did not have obstructions forty-five (45) degrees above the horizon to ensure a satisfactory TIN surface. The VVA value is provided as a target. It is understood that in areas of dense vegetation, swamps, or extremely difficult terrain, this value may be exceeded.

The NVA value is a requirement that must be met, regardless of any allowed “busts” in the VVA(s) for individual land cover types within the project. Checkpoints for each assessment (NVA and VVA) are required to be well-distributed throughout the land cover type, for the entire project area.

Process Date/Time: 2019-04-23 00:00:00

Process Step 3

CC ID: 1171789
Description:

LiDAR Point Cloud Generation:

Atlantic used Leica software products to download the IPAS ABGNSS/IMU data and raw laser scan files from the airborne system. Waypoint Inertial Explorer is used to extract the raw IPAS ABGNSS/IMU data, which is further processed in combination with controlled base stations to provide the final Smoothed Best Estimate Trajectory (SBET) for each mission. The SBETs are combined with the raw laser scan files to export the LiDAR ASCII Standard (*.las) formatted swath point clouds.

Process Date/Time: 2019-04-23 00:00:00

Process Step 4

CC ID: 1171790
Description:

LiDAR Calibration:

Using a combination of GeoCue, TerraScan and TerraMatch; overlapping swath point clouds are corrected for any orientation or linear deviations to obtain the best fit swath-to-swath calibration. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project missions, was reduced to ≤2cm. A final analysis of the calibrated lidar is preformed using a TerraMatch tie line report for an overall statistical model of the project area. Individual control point assessments for this project can be found in Section VI of this report. Upon completion of the data calibration, a complete set of elevation difference intensity rasters (dZ Orthos) are produced. A user-defined color ramp is applied depicting the offsets between overlapping swaths based on project specifications. The dZ orthos provide an opportunity to review the data calibration in a qualitative manner. Atlantic assigns green to all offset values that fall below the required RMSDz requirement of the project. A yellow color is assigned for offsets that fall between the RMSDz value and 1.5x of that value. Finally, red values are assigned to all values that fall beyond 1.5x of the RMSDz requirements of the project.

Process Date/Time: 2021-12-01 00:00:00

Process Step 5

CC ID: 1171791
Description:

LiDAR Classification:

Multiple automated filtering routines are applied to the calibrated LiDAR point cloud identifying and extracting bare-earth and above ground features. GeoCue, TerraScan, and TerraModeler software was used for the initial batch processing, visual inspection and any manual editing of the LiDAR point clouds. Atlantic utilized collected breakline data to preform classification for class 9 (Water).

Process Date/Time: 2022-03-22 00:00:00

Process Step 6

CC ID: 1171821
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, no changes were made to the vertical datum (NAVD88 GEOID12B; EPSG 5703).

Process Contact: U.S. Geological Survey

Process Step 7

CC ID: 1171822
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: 2022-05-19 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 67264
GUID: gov.noaa.nmfs.inport:67264
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2022-05-19 19:23+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2022-05-20
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-05-20
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-05-20