59066
2018 USGS/NRCS Lidar: Southwest Florida
FL_SW_Classified_LAS 2018 m9053
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2020-03-18
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.
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.
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 Ć¢overageĆ¢ 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"
}
}}
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > FLORIDA
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Office for Coastal Management
Charleston
SC
Data Set
Elevation
As Needed
Model (digital)
None
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
Digital Aerial Solutions, LLC; USGS; NRCS
Data Steward
2020
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2020
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2020
Organization
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston
VA
20191
USA
https://usgs.gov
USGS Home
Home page for USGS
Online Resource
Metadata Contact
2020
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2020
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-82.28745
-81.250146
26.79471
25.821722
Range
2018-05-08
2019-03-01
No
Yes
No
No
No
Yes
95642862132
Unclassified
Data is available online for bulk or custom downloads
None
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.
2020-03-18
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9053
2020
Organization
NOAA Office for Coastal Management
Customized Download
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.
Zip
Zip
2020-03-18
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/FL_Southwest_2018_D18_SUPPLEMENTAL/
2020
Organization
U.S. Geological Survey
Bulk Download
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.
LAZ
LAS/LAZ - LASer
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Southwest_2018_D18_SUPPLEMENTAL/
USGS Additional Info
Online Resource
Link to the reports, breaklines, metadata, and spatial metadata.
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/FL_Southwest_2018_D18_SUPPLEMENTAL/FL_Southwest_A_2018/reports/reports_project_wide/acquisition_report/18012_FL_SW_2018_D18_Survey_Report.pdf
Survey Report
Online Resource
pdf
Link to survey report.
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
Lidar Report
Online Resource
pdf
Link to the lidar report.
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_A_2018_LAS_2019/ept.json
USGS Entwine Point Tile (EPT) - FL_Southwest_A
Online Resource
json
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.
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_2018_LAS_2019/ept.json
USGS Entwine Point Tile (EPT) - FL_Southwest_B
Online Resource
json
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.
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_TL_2018_LAS_2019/ept.json
USGS Entwine Point Tile (EPT) - FL_Southwest_B_TL
Online Resource
json
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.
https://usgs.entwine.io/data/view.html?r=[%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_A_2018_LAS_2019/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_2018_LAS_2019/ept.json%22,%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_TL_2018_LAS_2019/ept.json%22]
USGS 3D View
Online Resource
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer.
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
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 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.
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.
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.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
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.
USGS AWS Entwine Point TIle (EPT) - FL_Southwest_A
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_A_2018_LAS_2019/ept.json
Entwine Point Tile (EPT) for FL_Southwest_A
USGS AWS Entwine Point Tile (EPT) - FL_Southwest_B
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_2018_LAS_2019/ept.json
Entwine Point Tile (EPT) for FL_Southwest_B
USGS AWS Entwine Point Tile (EPT) - FL_Southwest_B_TL
Organization
USGS
Publisher
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/USGS_LPC_FL_Southwest_B_TL_2018_LAS_2019/ept.json
Entwine Point Tile (EPT) for FL_Southwest_B_TL
1
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.
2018-10-29T00:00:00
2
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.
2019-03-01T00:00:00
3
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.
2018-11-30T00:00:00
4
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.
2019-01-25T00:00:00
5
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
2019-03-07T00:00:00
6
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).
Organization
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston
VA
20191
USA
https://usgs.gov
USGS Home
Home page for USGS
Online Resource
7
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
2024-01-25T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
gov.noaa.nmfs.inport:59066
Kirk Waters
2020-03-18T08:33:34
Rebecca Mataosky
2024-01-25T16:45:19
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16