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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: 2015 USGS Lidar: Cullman, Tuscaloosa, Walker Counties, AL, https://www.fisheries.noaa.gov/inport/item/72936.
Full Citation Examples

Abstract

This data set consists of Classified LiDAR Point Cloud, Classified LiDAR, Digital Elevation Model, Digital Surface Model, and LiDAR Intensity Images, and extends to a 100 meter buffer around BAA AL 3 County - QL2 Lidar boundary, approximately 2910 square miles. The dataset consists of LiDAR point cloud LAS swath files and tiled Las files. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Each file represents a separate swath of LiDAR. The three counties included in this dataset are: Cullman, Tuscaloosa, and Walker.

Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off

How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit.

Class Code:1

Class Item:Undetermined/Unclassified

Class Code:2

Class Item:Bare Earth

Class Code:3

Class Item:Low Vegetation

Class Code:4

Class Item:Medium Vegetation

Class Code:7

Class Item:Low Noise

Class Code:9

Class Item:Water

Class Code:10

Class Item:Ignored Ground

Class Code:17

Class Item:Bridges

Class Code:18

Class Item:High Noise

Class Code:24

Class Item:Reserved for ASPRS Definition

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.

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 data files in LAZ format, State Plane Alabama West NAD83(2011), meters, coordinates and NAVD88 (Geoid12A) elevations 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

-87.84° W, -86.43° E, 34.32° N, 33° S

Time Frame 1
2015-12-10 - 2016-02-16

Dates of collection

Item Identification

Title: 2015 USGS Lidar: Cullman, Tuscaloosa, Walker Counties, AL
Short Name: al2015_cull_tusca_walk_m10131_metadata
Status: Completed
Creation Date: 2015
Abstract:

This data set consists of Classified LiDAR Point Cloud, Classified LiDAR, Digital Elevation Model, Digital Surface Model, and LiDAR Intensity Images, and extends to a 100 meter buffer around BAA AL 3 County - QL2 Lidar boundary, approximately 2910 square miles. The dataset consists of LiDAR point cloud LAS swath files and tiled Las files. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Each file represents a separate swath of LiDAR. The three counties included in this dataset are: Cullman, Tuscaloosa, and Walker.

Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off

How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit.

Class Code:1

Class Item:Undetermined/Unclassified

Class Code:2

Class Item:Bare Earth

Class Code:3

Class Item:Low Vegetation

Class Code:4

Class Item:Medium Vegetation

Class Code:7

Class Item:Low Noise

Class Code:9

Class Item:Water

Class Code:10

Class Item:Ignored Ground

Class Code:17

Class Item:Bridges

Class Code:18

Class Item:High Noise

Class Code:24

Class Item:Reserved for ASPRS Definition

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

Purpose:

The USGS/NGTOC contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning, acquisition and development of Light Detection and Ranging (Lidar) data and derivative products. The task order is for a QL2 Lidar survey to be collected over Tuscaloosa, Walker and Cullman counties in Alabama. The deliverable products would be used by the USGS/NGTOC for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and other environmental purposes.

Supplemental Information:

All Lidar data and associated products were acquired, calibrated, and used in the creation of Lidar derived products by Digital Aerial Solutions, LLC.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Lidar Specification v1.2

",

"ldrsens" : "Leica ALS80-HP

",

"ldrmaxnr" : "Unlimited

",

"ldrnps" : "0.7

",

"ldrdens" : "4.0

",

"ldranps" : "0.71

",

"ldradens" : "2.0

",

"ldrfltht" : "1600

",

"ldrfltsp" : "120

",

"ldrscana" : "40

",

"ldrscanr" : "44.9

",

"ldrpulsr" : "335.2

",

"ldrpulsd" : "4

",

"ldrpulsw" : "0.46

",

"ldrwavel" : "1064

",

"ldrmpia" : "1

",

"ldrbmdiv" : "0.15

",

"ldrswatw" : "1165

",

"ldrswato" : "20

",

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

"

},

"ldraccur" : {

"ldrchacc" : "0.196

",

"rawnva" : "0.167

",

"rawnvan" : "107

",

"clsnva" : "0.166

",

"clsnvan" : "107

",

"clsvva" : "0.213

",

"clsvvan" : "66

"

},

"lasinfo" : {

"lasver" : "1.4

",

"lasprf" : "6

",

"laswheld" : "Withheld (ignore) points were identified in the 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" : "Undetermined/Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth"

},

"lasclass" : {

"clascode" : "3",

"clasitem" : "Low Vegetation"

},

"lasclass" : {

"clascode" : "4",

"clasitem" : "Medium Vegetation"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored Ground"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridges"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "24",

"clasitem" : "Reserved for ASPRS Definition"

}

}}

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
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALABAMA
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: As Needed
Data Presentation Form: Model (digital)
Entity Attribute Detail Citation:

LiDAR Tiles and associated derived products for BAA AL 3 County - QL2 Lidar

Distribution Liability:

The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose.

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.

Data Set Credit: Digital Aerial Solutions, LLC, USGS

Support Roles

Data Steward

CC ID: 1339565
Date Effective From: 2024
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: 1339564
Date Effective From: 2024
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: 1339593
Date Effective From: 2016
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: 1339566
Date Effective From: 2024
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: 1339567
Date Effective From: 2024
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: 1339570
W° Bound: -87.84
E° Bound: -86.43
N° Bound: 34.32
S° Bound: 33

Extent Group 1 / Time Frame 1

CC ID: 1339569
Time Frame Type: Range
Start: 2015-12-10
End: 2016-02-16
Description:

Dates of collection

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: 1339594

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: 1339595

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: 1339571
Start Date: 2024-06-11
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10131/details/10131
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.

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1339572
Start Date: 2016
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/BAA_AL_3_County_QL2_LiDAR/AL_3County_2015/LAZ/
Distributor: U.S. Geological Survey (2016 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, State Plane Alabama West NAD83(2011), meters, coordinates and NAVD88 (Geoid12A) elevations in meters.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1339562
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: 1339596
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/BAA_AL_3_County_QL2_LiDAR/AL_3County_2015/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the additional information available for this data set from the USGS. This information may include reports, tile index shapefiles, and hydro breaklines.

URL 3

CC ID: 1339597
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/BAA_AL_3_County_QL2_LiDAR/AL_3County_2015/reports/G15PD00518,%20BAA%20AL%203%20County%20QL2%20LiDAR%20Project_Report.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

URL 4

CC ID: 1339598
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_3County_2015_LAS_2017/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 5

CC ID: 1339599
URL: https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_3County_2015_LAS_2017%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.

Technical Environment

Description:

Inertial Explorer ver: 8.6; Leica CloudPro Ver:1.2.1; GeoCue Ver: 2014.1.21.4; Microstation V8i; Terresolid ver: 2015; LP360 ver: 2014.1.51.1; Arcmap ver: 10.4; Global Mapper ver: 16

Data Quality

Horizontal Positional Accuracy:

Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters.

As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore lidar data collected with GNSS error of 0.05m and the IMU error of 0.03492 degrees at an altitude of 10,500 feet MSL; the expected radial horizontal positional error will be RMSEr = 11.2 cm.

Vertical Positional Accuracy:

Vertical Accuracy of the bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data.

One hundred and Seventy-Three (173) surveyed points were measured for the purpose of assessing the accuracy of the BAA AL 3 County Lidar data (107 NVA + 66 VVA). Both data sets, Lidar and Digital Elevation Models (DEMs) have been tested for their individual vertical accuracy levels. The Lidar was tested by using interpolation while the DEMs where tested by extracting the elevation of a pixel containing the checkpoint. All DEM Vertical accuracy results are reported in the DEM Metadata reports while this project wide Metadata file is reporting the vertical accuracy results from the the source Lidar.

Required Vegetated Vertical Accuracy (VVA): 29.4cm. Required Non Vegetated Vertical Accuracy (NVA) : 19.6cm

This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10.0 (cm) RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 8.4 cm, equating to +/-16.6 cm at 95% confidence level.

Completeness Report:

The raw LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header.

Conceptual Consistency:

Aerial LiDAR data covers the entire 2910 square mile Area of Interest intended for this project task. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project.

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 Tiles (EPT) 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: 1339600
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_3County_2015_LAS_2017/ept.json
Citation URL Name: USGS Entwine Point Tile (EPT)

Process Steps

Process Step 1

CC ID: 1339553
Description:

Aerial LiDAR Acquisition: Aerial data collection was acquired, in Fourteen (14) missions, using the Leica ALS80 SN# 8235 at an altitude of 6,100 feet MSL. This was to support a 4.0 ppm^2 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by Leica GS15 & GPS 1200 base stations that occupied temporary monuments in conjunction with CORS stations, Data acquisition started January 19, 2016 and was complete Febuary 16, 2016.

Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of 173 check points (107 NVA + 66 VVA). The points were a combination of the following ground cover classification: Open Terrain, Urban Terrain, Bare Earth, High Grass and Low Trees. All field survey observations were conducted between January 20, 2016 and January 26, 2016 with Leica GPS 1200 equipment.

Process Date/Time: 2016-01-18 00:00:00

Process Step 2

CC ID: 1339554
Description:

LiDAR Pre-processing: Airborne GPS and IMU data were merged to develop a Smooth Best Estimate of Trajectory (SBET) of the LiDAR system for each mission. LiDAR ranging data were initially calibrated using previous best parameters for this instrument and aircraft. 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 lifts, was reduced to 2 cm or less. Raw data NVA were checked using surveyed check points.

Process Date/Time: 2016-02-22 00:00:00

Process Step 3

CC ID: 1339555
Description:

RAW Data Processing: The Initial processing of the GPS data was processed using Inertial Explorer producing a solution file for each mission. Leica CloudPro software was then used to generate georeferenced laser returns into LAS 1.2 file format for each flight-line per each mission, this went through an initial Quality Control of the overlap between the flight-line swaths.

Process Date/Time: 2016-02-29 00:00:00

Process Step 4

CC ID: 1339556
Description:

LiDAR Post-processing: The calibrated and controlled LiDAR swaths were processed using automatic point classification routines in TerraSolid software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced LiDAR analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project are calculated. Sample areas for each land cover type present in the project were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified LiDAR swath files were delivered to the client.

Process Date/Time: 2016-02-21 00:00:00

Process Step 5

CC ID: 1339557
Description:

LiDAR Classification: The calibrated LiDAR data went through automated classification routines and then manually edited and checked. The LiDAR point cloud data was classified into the following classes: 1-unclassified*, 2-ground, 7-low noise, 9-water, 10-buffer, 17-bridges, and 18-high noise

Process Date/Time: 2016-01-08 00:00:00

Process Step 6

CC ID: 1339601
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 GEOID12A; EPSG 5703).

Process Contact: U.S. Geological Survey

Process Step 7

CC ID: 1339602
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.

This is the EPT file being accessed:

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_3County_2015_LAS_2017/ept.json

Process Date/Time: 2024-06-11 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 72936
GUID: gov.noaa.nmfs.inport:72936
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2024-06-11 19:18+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2024-06-11 19:59+0000
Metadata Record Published: 2024-06-11
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2024-06-11
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2025-06-11