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Short Citation:
OCM Partners, 2024: 2018 USGS/NRCS Lidar: Southwest Florida, https://www.fisheries.noaa.gov/inport/item/59066.

Item Identification

Title: 2018 USGS/NRCS Lidar: Southwest Florida
Short Name: FL_SW_Classified_LAS 2018 m9053
Status: Completed
Publication Date: 2020-03-18
Abstract:

The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the entirety of the Southwest FL LiDAR boundary Delivery, approximately 2,347 square miles of the AOIs. 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.

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:

The USGS/NRCS 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 QL1 LiDAR survey to be collected over Lee and Collier county in FL. The deliverable products would be used by the USGS/NRCS 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.

ANPS: 0.35 Meters

Tile Size: 1,000 Meters

Spec: National Geospatial Program(NGP) Lidar Base Specification v1.3

LAS File Type: 1.4 type 6

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program(NGP) Lidar Base Specification v1.3",

"ldrsens" : "Leica ALS80 SN# 8137",

"ldrmaxnr" : "Unlimited",

"ldrnps" : "0.29",

"ldrdens" : "11.63",

"ldranps" : "0.29",

"ldradens" : "11.63",

"ldrfltht" : "1118",

"ldrfltsp" : "155",

"ldrscana" : "27.0",

"ldrscanr" : "60.3",

"ldrpulsr" : "498.0",

"ldrpulsd" : "4",

"ldrpulsw" : "0.29",

"ldrwavel" : "1064",

"ldrmpia" : "2",

"ldrbmdiv" : "0.15",

"ldrswatw" : "536.91",

"ldrswato" : "30",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid 12B"

},

"ldraccur" : {

"ldrchacc" : "0.783",

"rawnva" : "0.186",

"rawnvan" : "79",

"clsnva" : "0.175",

"clsnvan" : "79",

"clsvva" : "0.190",

"clsvvan" : "60"

},

"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" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridges"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

},

"lasclass" : {

"clascode" : "21",

"clasitem" : "Snow"

},

"lasclass" : {

"clascode" : "22",

"clasitem" : "Temporal Exclusion"

}

}}

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 > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > FLORIDA
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:

None

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: Digital Aerial Solutions, LLC; USGS; NRCS

Support Roles

Data Steward

CC ID: 900239
Date Effective From: 2020
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: 900238
Date Effective From: 2020
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: 1321403
Date Effective From: 2020
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: 900240
Date Effective From: 2020
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: 900241
Date Effective From: 2020
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: 1144298
W° Bound: -82.28745
E° Bound: -81.250146
N° Bound: 26.79471
S° Bound: 25.821722

Extent Group 1 / Time Frame 1

CC ID: 1144297
Time Frame Type: Range
Start: 2018-05-08
End: 2019-03-01

Spatial Information

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 900231
Point Object Present?: Yes
Point Object Count: 95642862132

Reference Systems

Reference System 1

CC ID: 1343111

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: 1343112

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 or 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: 900245
Start Date: 2020-03-18
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9053
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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: 900246
Start Date: 2020-03-18
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/FL_Southwest_2018_D18_SUPPLEMENTAL/
Distributor: U.S. Geological Survey (2020 - Present)
File Name: Bulk Download
Description:

Bulk download of laz point data in Albers Conical Equal Area NAD83 (2011) meters coordinates and elevations in a vertical datum of NAVD88 (GEOID12B) in meters.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer

URLs

URL 1

CC ID: 900233
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: 900235
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Southwest_2018_D18_SUPPLEMENTAL/FL_Southwest_A_2018/reports/reports_project_wide/project_report/18012_FL_SW_2018_D18_Report.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

URL 4

CC ID: 1321406
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_A_2018_LAS_2019/ept.json
Name: USGS Entwine Point Tile (EPT) - FL_Southwest_A
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: 1321407
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_2018_LAS_2019/ept.json
Name: USGS Entwine Point Tile (EPT) - FL_Southwest_B
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: 1321408
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_TL_2018_LAS_2019/ept.json
Name: USGS Entwine Point Tile (EPT) - FL_Southwest_B_TL
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: 1321410
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Southwest_2018_D18_SUPPLEMENTAL/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

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

Technical Environment

Description:

Inertial Explorer ver: 8.6; Leica CloudPro Ver:1.2.1; GeoCue Ver: 2014.1.21.4; Microstation V8i; Terresolid ver: 2019; 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. This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.226 Meters RMSEx/RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy =+/- 0.783 Meters at a 95% confidence level Estimated LiDAR Horizontal Error Per Point.

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 Thirty-nine (139) surveyed points were measured for the purpose of assessing the accuracy of the FL Southwest LiDAR data (79 NVA + 60 VVA). Both data sets, Lidar and Digital Elevation Models (DEMs) have been tested for there 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 Non Vegetated Vertical Accuracy (NVA): 0.196 Meters. Required Vegetated Vertical Accuracy (VVA): 0.294 Meters. Classified LiDAR: Tested to be 0.175 meters NVA at 95-percent confidence level using RSME(z) x 1.9600 as defined by the National Standards for spatial Data Accuracy (NSSDA). The root mean square error vertical (RMSEz) was computed to be 0.089 meters. The NVA of the Classified LiDAR point cloud was calculated against TINs derived from the final calibrated and controlled swath data using 46 NVA checkpoints located in Bare Earth land cover class.

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 2,347 square miles 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-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 NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tile (EPT) files 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) - FL_Southwest_A

CC ID: 1321412
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_A_2018_LAS_2019/ept.json
Citation URL Name: Entwine Point Tile (EPT) for FL_Southwest_A

USGS AWS Entwine Point Tile (EPT) - FL_Southwest_B

CC ID: 1321413
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_2018_LAS_2019/ept.json
Citation URL Name: Entwine Point Tile (EPT) for FL_Southwest_B

USGS AWS Entwine Point Tile (EPT) - FL_Southwest_B_TL

CC ID: 1321414
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_TL_2018_LAS_2019/ept.json
Citation URL Name: Entwine Point Tile (EPT) for FL_Southwest_B_TL

Process Steps

Process Step 1

CC ID: 1144290
Description:

Aerial LiDAR Acquisition: Aerial data collection was acquired, in Nighteen (19) Missions, using the Leica ALS80 SN# 8137, SN# 8235 and SN#8253 at an altitude of 3669 feet AGL for QL1. This was to support a 8.0 ppm^2 for QL1 LiDAR point cloud. Airborne GPS and IMU data was collected during the acquisition and supported by Leica GS15 and GPS 1200 base stations that occupied temporary monuments in conjunction with CORS stations, Data acquisition started May 08, 2018 and it was completed March 1, 2019.

Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of One-hundred Thirty-nine (139) check points (79 NVA + 60 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 May 07, 2018 and it was completed May 09, 2018 with Leica GPS GS15 and 1200 equipment.

Process Date/Time: 2018-10-29 00:00:00

Process Step 2

CC ID: 1144291
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 parameter 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: 2019-03-01 00:00:00

Process Step 3

CC ID: 1144292
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 1.4 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: 2018-11-30 00:00:00

Process Step 4

CC ID: 1144293
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: 2019-01-25 00:00:00

Process Step 5

CC ID: 1144294
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, 17-bridges, and 18-high noise, 20-Ignored Ground, 21-Snow, 22-Temporal Exclusion

Process Date/Time: 2019-03-07 00:00:00

Process Step 6

CC ID: 1144295
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 (GEOID12B).

Process Contact: U.S. Geological Survey

Process Step 7

CC ID: 1321415
Description:

The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) files that were 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.

These are the AWS URLs being accessed:

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_A_2018_LAS_2019/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_2018_LAS_2019/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_TL_2018_LAS_2019/ept.json

Process Date/Time: 2024-01-25 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 59066
GUID: gov.noaa.nmfs.inport:59066
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2020-03-18 08:33+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2024-07-31 18:37+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16