gov.noaa.nmfs.inport:58874
eng
UTF8
dataset
Elevation
OCM Partners
resourceProvider
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
point
36594916796
NAD83(NSRS2007)
2008-11-12
publication
European Petroleum Survey Group
https://apps.epsg.org/api/v1/CoordRefSystem/4759/export/?format=gml
urn:ogc:def:crs:EPSG:4759
6.18.3
North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
https://apps.epsg.org/api/v1/VerticalCoordRefSystem/5703/?api_key=gml
North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
Link to Geographic Markup Language (GML) description of reference system.
information
resourceProvider
European Petroleum Survey Group
https://www.epsg.org/
European Petroleum Survey Group Geodetic Parameter Registry
Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations.
search
publisher
vertical
OGP
2006-11-28
false
urn:ogc:def:cs:EPSG::6499
Vertical CS. Axis: height (H). Orientation: up. UoM: meter.
Used in vertical coordinate reference systems.
urn:ogc:def:axis:EPSG::114
H
up
urn:ogc:def:crs:EPSG::5703
2017 USGS Lidar: Southeast Wisconsin (Kenosha and Racine Counties)
ClassifiedPointCloud_20ppsm_Dewberry.xml
2018-09-07
publication
NOAA/NMFS/EDM
58874
https://www.fisheries.noaa.gov/inport/item/58874
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9019/supplemental/GCP_Survey_Report.pdf
WWW:LINK-1.0-http--link
Survey Report
Checkpoint Survey Report
download
https://coast.noaa.gov/dataviewer/
WWW:LINK-1.0-http--link
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
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.
download
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 1,228 individual 2500 ft x 2500 ft tiles; used to create Reflectance Images, 3D breaklines and hydro-flattened DEMs as necessary.
Geographic Extent: Kenosha and Racine counties, Wisconsin covering approximately 3,844 square miles.
Dataset Description: WI Kenosha-Racine Counties and IL 4 County QL1 Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a derived nominal pulse spacing (NPS) of 1 point every 0.35 meters.
Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal projection/datum of NAD83 (2011), State Plane, U.S Survey Feet and vertical datum of NAVD88 (GEOID12B), U.S. Survey Feet. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 1,228 individual 2500 ft x 2500 ft tiles, as tiled Reflectance Imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema.
Ground Conditions: Lidar was collected April-May 2017, 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, Ayers established a total of 70 ground control points that were used to calibrate the lidar to known ground locations established throughout the WI Kenosha-Racine Counties and IL 4 County QL1 project area. An additional 53 independent accuracy checkpoints, 27 in Bare Earth and Urban landcovers (27 NVA points), 26 in Tall Grass and Brushland/Low Trees categories (26 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 data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
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 Reflectance Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 foot cell size. These lidar point cloud data were used to create Reflectance Images, 3D breaklines, and hydro-flattened DEMs as necessary.
USGS, Dewberry
The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed Mar 01, 2024 at https://coast.noaa.gov/dataviewer.
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
notPlanned
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9019/supplemental/extent_kenoshaRacine_2017_m9019.kmz
This graphic displays the footprint for this lidar data set.
KML
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
VERTICAL LOCATION > LAND SURFACE
place
Global Change Master Directory (GCMD) Location Keywords
17.0
LIDAR > Light Detection and Ranging
instrument
Global Change Master Directory (GCMD) Instrument Keywords
17.2
Airplane > Airplane
platform
Global Change Master Directory (GCMD) Platform Keywords
17.2
Continent > North America > United States Of America > Kenosha County
Continent > North America > United States Of America > Racine County
place
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2017 USGS Lidar: Southeast Wisconsin (Kenosha and Racine Counties) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/58874.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
Access Constraints: None
otherRestrictions
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.
otherRestrictions
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
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
58874
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/58874.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
.2
eng; US
oceans
-88.841623
-87.470982
41.438014
42.846901
| Currentness: Ground Condition
2017-04-16
2017-05-07
USGS Contract No. G16PC00020 CONTRACTOR: Dewberry SUBCONTRACTOR: Harris Corporation Lidar data were acquired and calibrated by Harris Coporation. All follow-on processing was completed by the prime contractor.
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v1.2",
"ldrsens" : "Harris GmAPD Mapping LiDAR Sensor",
"ldrmaxnr" : "1 per detector (4096 detectors)",
"ldrnps" : "0.316",
"ldrdens" : "10",
"ldranps" : "0.224",
"ldradens" : "20",
"ldrfltht" : "7620",
"ldrfltsp" : "240",
"ldrscana" : "15",
"ldrscanr" : "17.7",
"ldrpulsr" : "50",
"ldrpulsd" : "0.46",
"ldrpulsw" : "0.138",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.05",
"ldrswatw" : "3810",
"ldrswato" : "55",
"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B"
},
"ldraccur" : {
"ldrchacc" : "0.57",
"rawnva" : "0.1",
"rawnvan" : "27",
"clsnva" : "0.189",
"clsnvan" : "2",
"clsvva" : "0.085",
"clsvvan" : "2"
},
"lasinfo" : {
"lasver" : "1.4",
"lasprf" : "6",
"laswheld" : "The Withheld bit was not used as it is not applicable to a Geiger-mode sensor.",
"lasolap" : "The Overlap bit was not used as it is not applicable to a Geiger-mode sensor.",
"lasintrz" : "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" : "10",
"clasitem" : "Ignored Ground"
},
"lasclass" : {
"clascode" : "17",
"clasitem" : "Bridge Decks"
},
"lasclass" : {
"clascode" : "18",
"clasitem" : "High Noise"
}
}}
Zip
Zip
LAS/LAZ - LASer
Zip
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9019
WWW:LINK-1.0-http--link
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.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9019/index.html
WWW:LINK-1.0-http--link
Bulk Download
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.
download
dataset
Vertical Positional Accuracy
The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm (0.64 ft) at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm (0.33 ft) in the “bare earth” and "urban" land cover classes. The NVA was tested with 27 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm (0.64 ft) or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. Quantitative value: 0.1, Test that produced the value: Tested 0.1 meters (0.33 ft) NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 27 independent checkpoints located in Bare Earth and Urban land cover classes.
NVA = 10 cm (0.33 ft) at a 95% confidence level using RMSE(z) x 1.9600. (RMSE = 5.10 cm)
Completeness Report
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 data passes Non-Vegetated Vertical Accuracy specifications.
Conceptual Consistency
Data covers the entire area specified for this project.
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 Dewberry 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 technician then analyzed the results and made any necessary additional adjustment until it is 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 match 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 6 cm (0.2 ft) RMSEz within individual swaths and less than or equal to 10 cm (0.33 ft) 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 check points after the z correction to ensure the requirement of NVA = 19.6 cm (0.64 ft) 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 1.2, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening.
2017-05-07T00:00:00
LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is 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 flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.35 m was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). 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. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper us 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. Dewberry 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.
2018-05-15T00:00:00
The NOAA Office for Coastal Management (OCM) retrieved 2,835 lidar point cloud files in laz format from the USGS RockyFTP website. The files contained lidar elevation and intensity measurements. The data were in Illinoise East State Plane, survey feet, coordinates and NAVD88 (Geoid12B) elevations in US Survey feet. The data were classified as: 1-Unclassified, 2-Ground, 7 - Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Deck, and 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV).
OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:
1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.
2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert to geographic coordinates, to assign the geokeys, to sort the data by gps time, and zip the data to database and to http.
Office for Coastal Management
processor
Source Contribution: This data source was used (along with airborne GPS/IMU data) to georeference the lidar point cloud data.
50
Ground Control for WI Kenosha-Racine Counties and IL 4 County QL1 lidar project
2017-05-01
publication
Ayers Associates
originator
2017-05-07
The vertical values in this data set have been converted to reference North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters, using the GEOID18 grids provided by the National Geodetic Survey.
Any datum and projection transformations were then done with the Office for Coastal Management 'datum_shift' program. Compression to an LAZ file was done with the LAStools 'laszip' program and can be unzipped with the same free program (laszip.org)
Processing notes:
2024-03-01T09:37:34
NOAA Office for Coastal Management
coastal.info@noaa.gov
processor