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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
Related Items
Catalog Details

Summary

Short Citation
OCM Partners, 2024: 2016 AGIO Lidar: 6 County (Fayette, Franklin, Greene, Marion, Pickens, Sumter), AL, https://www.fisheries.noaa.gov/inport/item/72898.
Full Citation Examples

Abstract

Geographic Extent: This data set consists of the lidar point cloud, classified lidar, digital elevation model, and lidar intensity images which encompasses the six counties in the AGIO (AL Geographic Information Office) portion of the 2016 Alabama AGIO/ADECA 12 County Lidar Area of Interest (AOI), The entire 12 county project covers approximately 22,909 square kilometers or 8845 square miles. The AGIO portion covers the following counties: Fayette, Franklin, Greene, Marion, Pickens, and Sumter.

Data set Description: This data set 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.

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: Unclassified, Class Code:2 - Class Item: Ground, 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

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, UTM Zone 16N NAD83 (2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters.

Access Constraints:

No restrictions apply to this data the data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the 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.

Use Constraints:

None, however, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of the data. Acknowledgement of USGS would be appreciated for products derived from these data. The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the 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.

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

-88.45° W, -87.42° E, 34.59° N, 32.29° S

Time Frame 1
2016-12-02 - 2017-03-15

Item Identification

Title: 2016 AGIO Lidar: 6 County (Fayette, Franklin, Greene, Marion, Pickens, Sumter), AL
Status: Completed
Creation Date: 2016
Abstract:

Geographic Extent: This data set consists of the lidar point cloud, classified lidar, digital elevation model, and lidar intensity images which encompasses the six counties in the AGIO (AL Geographic Information Office) portion of the 2016 Alabama AGIO/ADECA 12 County Lidar Area of Interest (AOI), The entire 12 county project covers approximately 22,909 square kilometers or 8845 square miles. The AGIO portion covers the following counties: Fayette, Franklin, Greene, Marion, Pickens, and Sumter.

Data set Description: This data set 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.

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: Unclassified, Class Code:2 - Class Item: Ground, 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

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 primary purpose of the lidar survey was to establish measurements of the bare earth surface, as well as top surface feature data for providing geometric inputs for modeling, other numerical modeling and economic related assessments.

Supplemental Information:

All lidar data was acquired, calibrated, and used in the creation of lidar derived products by Atlantic.

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 USGS

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: AGIO, Atlantic, USGS

Support Roles

Data Steward

CC ID: 1339395
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: 1339394
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: 1339398
Date Effective From: 2017
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: 1339396
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: 1339397
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: 1339427
W° Bound: -88.45
E° Bound: -87.42
N° Bound: 34.59
S° Bound: 32.29

Extent Group 1 / Time Frame 1

CC ID: 1339426
Time Frame Type: Range
Start: 2016-12-02
End: 2017-03-15

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: 1339411

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: 1339412

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:

No restrictions apply to this data the data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the 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.

Data Use Constraints:

None, however, users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of the limitations of the data. Acknowledgement of USGS would be appreciated for products derived from these data. The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of the 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.

Distribution Information

Distribution 1

CC ID: 1339399
Start Date: 2024-06-07
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10129/details/10129
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: 1339400
Start Date: 2017
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/AL_AGIO_6_County_Lidar_2016_B16/
Distributor: U.S. Geological Survey (2017 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, UTM Zone 16N NAD83 (2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1339401
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: 1339402
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AL_AGIO_6_County_Lidar_2016_B16/
Name: USGS Additional Info
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: 1339403
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/AL_AGIO_6_County_Lidar_2016_B16/AL_AGIO_B1_2016/reports/AL_AGIO%206%20County%20Lidar_2016_B16_Aerial_Lidar_Report.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

URL 4

CC ID: 1339404
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_AGIO_B1_2016_LAS_2019/ept.json
Name: USGS Entwine Point Tile (EPT) - AL_AGIO_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: 1339405
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_AGIO_B2_2016_LAS_2019/ept.json
Name: USGS Entwine Point Tile (EPT) - AL_AGIO_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: 1339406
URL: https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_AGIO_B1_2016_LAS_2019/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_AGIO_B2_2016_LAS_2019/ept.json%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:

CloudPro 1.2.0 Build 85620; GeoCue Version 2014.1.21.2; Windows 7 Operating System

\\lidarsrv\GC_Warehouse_5\80658\30\*.las

184 GB

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 8cm and the IMU error of 0.00427 degrees at an altitude of 2,000m; the expected radial horizontal positional error will be RMSEr = 29.0cm.

Vertical Positional Accuracy:

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

Three hundred and ninety-five (395) surveyed points were measured for the purpose of assessing the accuracy of the lidar data. (227 NVA + 168 VVA).

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 of the bare-earth was found to be RMSEz = 6.5 cm, equating to +/- 12.8 cm at 95% confidence level. 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 VVA accuracy was found to be RMSEz = 8.0 cm, equating to +/-14.6 cm at the 95th percentile.

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:

All lidar data and lidar derived data covers the entire 8845 square mile area of interest for the project AOI. 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) - AL_AGIO_B1

CC ID: 1339413
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_AGIO_B1_2016_LAS_2019/ept.json
Citation URL Name: USGS Entwine Point Tile (EPT)

USGS AWS Entwine Point Tile (EPT) - AL_AGIO_B2

CC ID: 1339414
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_AGIO_B2_2016_LAS_2019/ept.json
Citation URL Name: USGS Entwine Point Tile (EPT)

Process Steps

Process Step 1

CC ID: 1339415
Description:

Aerial Lidar Acquisition: Aerial data collection was acquired in thirty-eight (38) flight missions, using the ALS70 SN#7123/7225 at an altitude of 2300 meters AGL. During flight operations, the flight crew monitored weather and atmospheric conditions. Lidar missions were flown only when no condition existed below the sensor that would affect the collection of data. The pilot constantly monitored the aircraft course, position, pitch, roll, and yaw of the aircraft. The sensor operator monitored the sensor, the status of the GNSS constellations, and performed the first QC review during acquisition. The flight crew constantly reviewed weather and cloud locations. Data acquisition was completed on March 15, 2017.

Ground Control Survey: This GNSS survey consisted of twelve (12) contiguous Alabama counties which due to geographic proximity were combined into one Area of Interest (AOI) the five hundred twenty-four (524) checkpoints were subdivided into 3 main categories: NVA, VVA, and LCP. A survey crew mobilized to the AOI to perform the RTN –RTK survey to support the aerial LiDAR collection October 20th through November 19th 2016. The RTN –RTK survey consisted of independent GNSS observations on Non-Vegetated Vertical Accuracy, Vegetated Vertical Accuracy (NVA-VVA), and LiDAR Calibration Points (LCP).

Process Date/Time: 2017-03-15 00:00:00

Process Step 2

CC ID: 1339416
Description:

Lidar Pre-processing: Airborne GPS and IMU data were merged to develop a Smoothed Best Estimate Trajectory (SBET) of the lidar system for each lift. 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. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed check points. Swath overage points were identified and tagged within each swath file

Process Date/Time: 2017-03-16 00:00:00

Process Step 3

CC ID: 1339417
Description:

Initial processing of the GPS data was processed using Inertial Explorer. The solution file was generated and CloudPro software was used to generate georeferenced laser returns which were then processed in strip form allowing for the QC of the overlap between strips (lines). The data from each line were combined and automated classification routines run to determine the initial surface model. This initial surface model was then verified to the surveyed test points.

Process Date/Time: 2017-03-18 00:00:00

Process Step 4

CC ID: 1339418
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: 2017-03-25 00:00:00

Process Step 5

CC ID: 1339419
Description:

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

Process Date/Time: 2017-04-05 00:00:00

Process Step 6

CC ID: 1339420
Description:

Lidar Intensity Imagery Creation: All lidar intensity imagery was created from the final calibrated and classified lidar point cloud. Intensity images were produced from all classified points and are posted to a 1 meter cell size. Intensity images were cut to match the tile index and have corresponding names to match tile names.

Process Date/Time: 2017-05-15 00:00:00

Process Step 7

CC ID: 1339421
Description:

Hydro line Collection: Hydro break lines were compiled using the lidar intensity data and surface terrain model of the entire project area. After the collection of hydro lines all features were validated for monotonicity and vertical variance, to ensure that no points were floating above ground. The hydro break lines were encoded into the lidar surface and used to hydro-enforce/flatten all significant water bodies. These final hydro lines were then used in the production of bare Earth digital models to hydro flatten significant water bodies.

Process Date/Time: 2017-06-15 00:00:00

Process Step 8

CC ID: 1339422
Description:

Bare-Earth DEM Creation: Bare-Earth digital elevation models (DEMs) were derived using the hydro break line and bare-earth (ground) lidar points, all DEMs were created with a grid spacing of 1 meter. The DEMs were cut to tiles of 1500 meters X 1500 meters index.

Process Date/Time: 2017-08-10 00:00:00

Process Step 9

CC ID: 1339423
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 10

CC ID: 1339424
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.

These are the EPT files being accessed:

1. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_AGIO_B1_2016_LAS_2019/ept.json

2. https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_AL_AGIO_B2_2016_LAS_2019/ept.json

Process Date/Time: 2024-06-07 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2016 ADECA Lidar: 6 County (Bibb, Chilton, Coosa, Dallas, Hale, Perry), AL

Catalog Details

Catalog Item ID: 72898
GUID: gov.noaa.nmfs.inport:72898
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2024-06-07 19:16+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2024-06-11 19:33+0000
Metadata Record Published: 2024-06-07
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2024-06-07
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2025-06-07