67441
2019 - 2020 USGS Lidar: NH Coastal (QL1)
nh2019_coastal_ql1_m9532_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2019
2021-12-06
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 6235 individual 2500 ft x 2500 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
Geographic Extent: 8 counties in New Hampshire, covering approximately 1311 total square miles.
Dataset Description: The NH Coastal Lidar Work Package 183374, Work Unit 183371 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were developed based on a horizontal projection/datum of NAD 1983 2011 StatePlane New Hampshire FIPS 2800 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 6106 individual 2500 ft x 2500 ft tiles and as 6236 2500 ft x 2500 ft tiled intensity images, and tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema. Continuous breaklines were produced in Esri file geodatabase format. Some tiles contained no deliverable points due to being over water, which is while tile counts differ.
Ground Conditions: LiDAR was collected in fall 2019 and spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 57 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 146 independent accuracy checkpoints, 83 in Bare Earth and Urban landcovers (83 NVA points), 63 in Tall Weeds categories (63 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.
This metadata 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.
To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 1.25 foot cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
Contract No. G16PC00016, Task Order No. 140G0219F0330; CONTRACTOR: NV5 Geospatial, powered by Quantum Spatial
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Specification v1.3",
"ldrsens" : "Optech Galaxy T-1000",
"ldrmaxnr" : "8",
"ldrnps" : "0.35",
"ldrdens" : "8.0",
"ldranps" : "0.35",
"ldradens" : "8.16",
"ldrfltht" : "1100",
"ldrfltsp" : "160",
"ldrscana" : "15",
"ldrscanr" : "116",
"ldrpulsr" : "600",
"ldrpulsd" : "3",
"ldrpulsw" : "0.28",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.25",
"ldrswatw" : "589.0",
"ldrswato" : "25",
"ldrgeoid" : "Geoid 12b",
"ldrcrs" : "NAD 1983 2011 StatePlane New Hampshire FIPS 2800 Ft US, Foot US"
},
"ldraccur" : {
"ldrchacc" : "0",
"rawnva" : "0",
"rawnvan" : "0"
},
"lasinfo" : {
"lasver" : "1.4",
"lasprf" : "6",
"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",
"lasolap" : "Any overage point deemed geometrically reliable will be used within the normal classification schema. Overage points are not specifically flagged with any special bit value.",
"lasintr" : "16",
"lasclass" : {
"clascode" : "1",
"clasitem" : "Processed, but Unclassified"
},
"lasclass" : {
"clascode" : "2",
"clasitem" : "Bare-Earth Ground"
},
"lasclass" : {
"clascode" : "7",
"clasitem" : "Low Noise"
},
"lasclass" : {
"clascode" : "9",
"clasitem" : "Water"
},
"lasclass" : {
"clascode" : "17",
"clasitem" : "Bridge Decks"
},
"lasclass" : {
"clascode" : "18",
"clasitem" : "High Noise"
},
"lasclass" : {
"clascode" : "20",
"clasitem" : "Ignored Ground"
}
}}
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 > NEW HAMPSHIRE
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
Spatial
Belknap County
Spatial
Essex County
Spatial
Hillsborough County
Spatial
Merrimack County
Spatial
Middlesex County
Spatial
New Hampshire
Spatial
Rockingham County
Spatial
Strafford County
Spatial
York County
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.
NV5 Geospatial, powered by Quantum Spatial, USGS
Data Steward
2022
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
2022
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
2022
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
2022
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
2022
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
-71.8765827315
-70.5477760122
43.4017511573
42.6650942925
Range
2019-11-23
2020-04-23
No
Yes
No
No
No
Projected
EPSG:3857
WGS 84 / Pseudo-Mercator
World Geodetic System 1984
WGS 84
6378137
298.257223563
WGS 84
Popular Visualisation Pseudo-Mercator
Popular Visualisation Pseudo Mercator
Latitude of natural origin
0° 0' 0" N
Longitude of natural origin
0° 0' 0" E
False easting
0
metre
False northing
0
metre
1
Easting
X
metre
east
2
Northing
Y
metre
north
Vertical
EPSG:6360
NAVD88 height (ftUS)
North American Vertical Datum 1988
1
Gravity-related height
H
US survey foot
up
Unclassified
Data is available online for bulk and 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.
2022-06-21
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9532/details/9532
2022
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
2022-06-21
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/NH_Coastal_2019_B19/NH_Coastal_1_2019/LAZ/
2022
Organization
U.S. Geological Survey
Bulk Download
Bulk download of data files in LAZ format, based on a horizontal datum/projection of New Hampshire State Plane, NAD83(2011), US survey feet (EPSG: 6525) and a vertical datum of NAVD88 (GEOID12B) and units in feet (EPSG: 6360). This url links to the USGS copy of the files, from which the Entwine Point Tile files originated. These have not been reviewed by OCM and the link is provided here for convenience.
LAZ
LAS/LAZ - LASer
Zip
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/NH_Coastal_2019_B19/NH_Coastal_1_2019/
USGS Additional Info
Online Resource
Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines.
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NH_Coastal_2019_B19/NH_Coastal_1_2019/reports/32855_NH_Coastal_D2_Report.pdf
Lidar Report
Online Resource
pdf
Link to the Quantum Spatial lidar processing report.
https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/NH_Coastal_2019_B19/USGS_NH_Coastal_2019_B19_PRJ_Report.pdf
USGS Project Report
Online Resource
pdf
Link to the USGS project report that provides project information, vertical accuracy results, classifications used, sensors used, and work unit information.
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NH_Coastal_1_2019/ept.json
Entwine Point Tiles (EPT)
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, it is the ept.json file that 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/NH_Coastal_1_2019%22
Potree 3D View
Online Resource
Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer.
MicroStation Connect; TerraScan Version 21.016; TerraModeler Version 21.008; GeoCue Version 2020.1.22.1; Esri ArcGIS 10.6; Global Mapper 19/20; Optech LMS 4.4; Windows 10 Operating System
\\point_cloud\tilecls\*.las
This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.
USGS Determined Vertical Accuracy
Non-Vegetated Vertical Accuracy (NVA) = 4 cm RMSE
Vegetated Vertical Accuracy (VVA) = 12.34 cm at the 95th Percentile
These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and the data pass Non-Vegetated Vertical Accuracy specifications.
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 USGS data set, New Hampshire Coastal 1, lidar was ingested into the Data Access Viewer for custom product generation by leveraging USGS hosted Entwine Point Tiles.
Entwine Point Tiles on AWS
Organization
USGS
Originator
https://usgs.entwine.io/
USGS Entwine Point Cloud
1
Raw Data and Boresight Processing: The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used NV5 Geospatial, powered by Quantum Spatial proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie, and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technicians then analyzed the results and made any necessary additional adjustment until it was acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps matched for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met.
2021-01-01T00:00:00
2
LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using proprietary tools. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. Any noise that was identified either through manual review or automated routines was classified to the appropriate class ( ASPRS Class 7 and/or ASPRS Class 18) followed by flagging with the withheld bit. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.
2021-01-01T00:00:00
3
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).
Organization
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston
VA
20191
USA
https://usgs.gov
USGS Home
Home page for USGS
Online Resource
4
The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) 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.
This is the AWS URL being accessed:
https://s3-us-west-2.amazonaws.com/usgs-lidar-public/NH_Coastal_1_2019/ept.json
2022-06-21T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
67394
Data Set
2019 - 2020 USGS Lidar: NH Coastal (QL2)
Cross Reference
gov.noaa.nmfs.inport:67441
Rebecca Mataosky
2022-06-21T15:10:00
SysAdmin InPortAdmin
2023-10-17T16:12:36
2022-06-21
OCM Partners
OCMP
1002
Public
No
2022-06-21
1 Year
2023-06-21