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

Summary

Short Citation
OCM Partners, 2024: 2022 USGS Lidar: South Central Maine, https://www.fisheries.noaa.gov/inport/item/71691.
Full Citation Examples

Abstract

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 3106 individual 1500 m x 1500 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: 11 counties in Maine, covering approximately 2505 total square miles.

Dataset Description: The ME_SouthCentral_B22, Work Unit 230147 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.46 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, 2021 Rev. A. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 19N, Meter and vertical datum of NAVD88 Geoid 18, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 3106 individual 1500 m x 1500 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: LiDAR was collected in spring 2022, 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, NV5 Geospatial utilized a total of 63 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 147 independent accuracy checkpoints, 83 in Bare Earth and Urban landcovers (83 NVA points), 64 in Tall Weeds categories (64 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.

Distribution Information

  • Not Applicable

    Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

  • LAS/LAZ - LASer

    Bulk download of laz point data in horizontal projection/datum of UTM Zone 19N NAD83 (2011), meters and a vertical datum of NAVD88 (GEOID18) in meters.

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

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

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-71.0521599602° W, -69.375381376° E, 44.7477281775° N, 43.1777910393° S

Time Frame 1
2022-04-07 - 2022-04-21

Item Identification

Title: 2022 USGS Lidar: South Central Maine
Short Name: me2022_south_cent_m10002_metadata
Status: Completed
Creation Date: 2022
Publication Date: 2023-03-28
Abstract:

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 3106 individual 1500 m x 1500 m tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: 11 counties in Maine, covering approximately 2505 total square miles.

Dataset Description: The ME_SouthCentral_B22, Work Unit 230147 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.46 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, 2021 Rev. A. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 19N, Meter and vertical datum of NAVD88 Geoid 18, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 3106 individual 1500 m x 1500 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: LiDAR was collected in spring 2022, 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, NV5 Geospatial utilized a total of 63 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 147 independent accuracy checkpoints, 83 in Bare Earth and Urban landcovers (83 NVA points), 64 in Tall Weeds categories (64 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.

Purpose:

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 DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1 meter cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Supplemental Information:

Contract No. 140G0221D0012, Task Order No. 140G0222F0085; CONTRACTOR: NV5 Geospatial

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v2.1",

"ldrsens" : "Riegl VQ780i",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.46",

"ldrdens" : "5.0",

"ldranps" : "0.46",

"ldradens" : "4.73",

"ldrfltht" : "1350",

"ldrfltsp" : "180",

"ldrscana" : "30",

"ldrscanr" : "199",

"ldrpulsr" : "1000",

"ldrpulsd" : "3",

"ldrpulsw" : "0.24",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.18",

"ldrswatw" : "1559.0",

"ldrswato" : "20",

"ldrgeoid" : "Geoid 18",

"ldrcrs" : "NAD 1983 2011 UTM Zone 19N, Meter"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0.0",

"rawnvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",

"lasolap" : "Any overage point deemed geometrically reliable will be used within the normal classification schema. Overage points are not specifically flagged with any special bit value.",

"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" : "21",

"clasitem" : "Snow (where identifiable)"

},

"lasclass" : {

"clascode" : "22",

"clasitem" : "Temporal Exclusion (if applicable)"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
ISO 19115 Topic Category
elevation

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MAINE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
UNCONTROLLED
None Androscoggin County
None Carroll County
None Cumberland County
None Franklin County
None Kennebec County
None Lincoln County
None Oxford County
None Somerset County
None Strafford County
None Waldo County
None York County

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: 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: NV5 Geospatial, USGS

Support Roles

Data Steward

CC ID: 1285746
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 1285745
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 1285775
Date Effective From: 2023
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: 1285747
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 1285748
Date Effective From: 2023
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1285751
W° Bound: -71.0521599602
E° Bound: -69.375381376
N° Bound: 44.7477281775
S° Bound: 43.1777910393

Extent Group 1 / Time Frame 1

CC ID: 1285750
Time Frame Type: Range
Start: 2022-04-07
End: 2022-04-21

Spatial Information

Spatial Resolution

Horizontal Distance: 0.3 Meter

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 1285740
Point Object Present?: Yes
Point Object Count: 75820697284

Reference Systems

Reference System 1

CC ID: 1285777

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: 1285776

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: 1285752
Start Date: 2023-12-19
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10002/details/10002
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1285753
Start Date: 2023-12-19
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ME_SouthCentral_B22/ME_SouthCentral_1_B22/LAZ
Distributor: U.S. Geological Survey (2023 - Present)
File Name: Bulk Download
Description:

Bulk download of laz point data in horizontal projection/datum of UTM Zone 19N NAD83 (2011), meters and a vertical datum of NAVD88 (GEOID18) in meters.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1285743
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: 1285778
URL: https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/ME_SouthCentral_1_B22%22
Name: USGS 3D View
URL Type:
Online Resource
Description:

Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer.

URL 3

CC ID: 1285779
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/ME_SouthCentral_1_B22/ept.json
Name: USGS Entwine Point Tile (EPT)
URL Type:
Online Resource
File Resource Format: json
Description:

Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.

URL 4

CC ID: 1285780
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/ME_SouthCentral_B22/USGS_ME_SouthCentral_B22_Project_Report.pdf
Name: USGS Project Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS Project Report that provides information about the project, vertical accuracy results, the point classes, and sensors used.

URL 5

CC ID: 1285781
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/ME_SouthCentral_B22/ME_SouthCentral_1_B22/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, and spatial metadata.

URL 6

CC ID: 1285782
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/ME_SouthCentral_B22/ME_SouthCentral_1_B22/reports/37735_Maine_SouthCentral_2023.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the NV5 Geospatial lidar report.

Technical Environment

Description:

MicroStation Connect; TerraScan Version 21.016; STRIPALIGN 2.21 ; TerraModeler Version 21.008; GeoCue Version 2020.1.22.1; Esri ArcGIS 10.6; Global Mapper 19/20; RiProcess 1.8.6; Windows 10 Operating System

\\point_cloud\tilecls\*.las

Data Quality

Horizontal Positional Accuracy:

Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and INS derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95% of the time. Based on a flying altitude of 1,350 meters, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.027 meters, this project was compiled to meet 0.15 meter horizontal accuracy at the 95% confidence level or 9 cm RMSEr.

Vertical Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

USGS Determined Vertical Accuracy:

Non-Vegetated Vertical Accuracy (NVA) = 3.37 cm RMSE

Vegetated Vertical Accuracy (VVA) = 15.28 cm at 95th Percentile

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 the data pass Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

Data cover the entire area specified for this project.

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-NC
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to cloud storage.

Lineage

Lineage Statement:

The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tile (EPT) file 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.

Sources

USGS AWS Entwine Point Tile (EPT)

CC ID: 1285783
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/ME_SouthCentral_1_B22/ept.json
Citation URL Name: Entwine Point Tile (EPT) for ME_SouthCentral_1

Process Steps

Process Step 1

CC ID: 1285737
Description:

Raw Data and Boresight Processing: 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 NV5 Geospatial 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 technicians then analyzed the results and made any necessary additional adjustment until it was 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 matched 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 7 cm RMSEz within individual swaths and less than or equal to 10 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 checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met.

Process Date/Time: 2023-01-01 00:00:00

Process Step 2

CC ID: 1285738
Description:

LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was 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-flattened breaklines were then classified to Water (ASPRS Class 9) using proprietary tools. A buffer of 1.0 meter 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. Any noise that was identified either through manual review or automated routines was classified to the appropriate class ( ASPRS Class 7 and/or ASPRS Class 18) followed by flagging with the withheld bit. All data were 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. GeoCue was then used to create the deliverable industry-standard LAS files for point cloud data. NV5 Geospatial 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: 2023-01-01 00:00:00

Process Step 3

CC ID: 1285784
Description:

Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and no changes were made to the vertical elevations in NAVD88 (GEOID18).

Process Contact: U.S. Geological Survey

Process Step 4

CC ID: 1285785
Description:

The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) file that was ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container.

This is the AWS URL being accessed:

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/ME_SouthCentral_1_B22/ept.json

Process Date/Time: 2023-12-18 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 71691
GUID: gov.noaa.nmfs.inport:71691
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2023-12-19 14:19+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2023-12-19 15:18+0000
Metadata Record Published: 2023-12-19
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2023-12-19
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2024-12-19