gov.noaa.nmfs.inport:63373
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
103374636016
NAD83(2011)
2008-11-12
publication
European Petroleum Survey Group
https://apps.epsg.org/api/v1/CoordRefSystem/6318/export/?format=gml
urn:ogc:def:crs:EPSG:6318
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
2018 - 2019 USGS Lidar: Washington FEMA QL2
wa2018_fema_ql2_m9211_metadata.xml
2019-10-28
publication
NOAA/NMFS/EDM
63373
https://www.fisheries.noaa.gov/inport/item/63373
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/geoid18/9211/supplemental/WA_FEMA_HQ_2018_Cumulative_LiDAR_Technical_Data_Report_FINAL.pdf
WWW:LINK-1.0-http--link
Dataset report
Link to data set report.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9211/breaklines/
WWW:LINK-1.0-http--link
Breaklines
Link to the breaklines.
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: Washington FEMA HQ Classified Lidar point cloud.
Geographic Extent: This dataset and derived products encompass the Washington FEMA HQ Lidar dataset, an area covering approximately 3,450,211 acres of QL2 data in Washington State spanning both UTM Zones 10 and 11 in the following 5 counties: Whitman, Skamania, Cowlitz, Clark, and Klickitat. A QL1 survey area in Pend Orielle County was also part of this collection and covers approximately 6,519 acres but is not included in this data set because it was collected using QL1 criteria. A link to the metadata record for the QL1 survey area is provided in the Related Items field at the end of this metadata record.
Dataset Description: RAW flight line swaths were processed to create classified LAS 1.4 files projected in UTM Zones 10 and 11 and delineated in 1,000m x 1,000m tiles. (Please note the following tiles do not exist as no points fall within their boundaries due their small size and/or the fact they fall completely over water: 10TGR1465, 10TER6244) Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional derived products include intensity images, hydro-flattened DEMs, 3D breaklines of rivers and lakes, and bridges within the study area.
Ground Conditions: Ground condition was free of snow. Acquisition below aircraft free of smoke, fog and cloud cover. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc.
The NOAA Office for Coastal Management (OCM) downloaded the:
1. Lidar point data from this USGS site:
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL2_2018/LAZ/
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2A_2018/LAZ/
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2B_2018/LAZ/
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2C_2018/LAZ/
2. Breaklines, reports, and metadata from this USGS site:
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL2_2018/
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2A_2018/
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2B_2018/
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2C_2018/
The lidar point files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 14,551.
The breakline data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.
This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the Washington FEMA HQ Lidar contract. The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, 3D breaklines of rivers and lakes, and bridges within the study area.
Quantum Spatial, Inc.
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/geoid18/9211/supplemental/wa2018_fema_ql2_m9211.kmz
This graphic displays the footprint for this lidar data set.
KML
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON
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
3DEP
QL2
erosion
theme
Continent > North America > United States Of America > Washington > Clark County
Continent > North America > United States Of America > Washington > Cowlitz County
Continent > North America > United States Of America > Washington > Klickitat County
Continent > North America > United States Of America > Washington > Skamania County
Continent > North America > United States Of America > Washington > Whitman County
place
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2018 - 2019 USGS Lidar: Washington FEMA QL2 [Data Date Range], https://www.fisheries.noaa.gov/inport/item/63373.
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 Quantum Spatial, Inc., FEMA, USDA, USGS, NOAA, the Office for Coastal Management or its partners.
unclassified
2018 USGS Lidar: Washington FEMA QL1
NOAA/NMFS/EDM
63378
crossReference
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
63373
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/63373.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
.7
eng; US
elevation
Waypoint Inertial Explorer 8.7, Leica Cloudpro 1.2.4, Microstation Version 10.0, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3.1, LasMonkey 2.4.1 (Proprietary), Las Product Creator 3.1 (Proprietary), Windows 7 Operating System
-123.225303
-117.023236
45.537668
47.269951
| Currentness: Ground Condition
2018-08-05
2019-05-06
USGS Contract No. G16PC00016
CONTRACTOR: Quantum Spatial, Inc.
Ground Control Points were acquired and calibrated by Quantum Spatial, Inc.
All lidar data acquisition, calibration, and follow-on processing were completed by Quantum Spatial.
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.3",
"ldrsens" : "Leica ALS80",
"ldrmaxnr" : "15",
"ldrnps" : "0.71",
"ldrdens" : "4",
"ldranps" : "0.35",
"ldradens" : "8",
"ldrfltht" : "1,800",
"ldrfltsp" : "110",
"ldrscana" : "30",
"ldrscanr" : "42",
"ldrpulsr" : "300",
"ldrpulsd" : "2.5",
"ldrpulsw" : "0.75",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.22",
"ldrswatw" : "965",
"ldrswato" : "67",
"ldrgeoid" : "Geoid12B"
},
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.3",
"ldrsens" : "Leica ALS80",
"ldrmaxnr" : "15",
"ldrnps" : "1.00",
"ldrdens" : "1",
"ldranps" : "0.70",
"ldradens" : "2",
"ldrfltht" : "2,300",
"ldrfltsp" : "125",
"ldrscana" : "30",
"ldrscanr" : "44",
"ldrpulsr" : "245",
"ldrpulsd" : "2.5",
"ldrpulsw" : "0.75",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.22",
"ldrswatw" : "1,233",
"ldrswato" : "25",
"ldrgeoid" : "Geoid12B"
},
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.3",
"ldrsens" : "VQ-1560i",
"ldrmaxnr" : "15",
"ldrnps" : "1.00",
"ldrdens" : "1",
"ldranps" : "0.70",
"ldradens" : "2",
"ldrfltht" : "2,392",
"ldrfltsp" : "130",
"ldrscana" : "58.5",
"ldrscanr" : "68.1",
"ldrpulsr" : "700",
"ldrpulsd" : "3",
"ldrpulsw" : "0.90",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.18",
"ldrswatw" : "1,145",
"ldrswato" : "20",
"ldrgeoid" : "Geoid12B"
},
"ldraccur" : {
"ldrchacc" : "0",
"rawnva" : "0",
"rawnvan" : "0",
"clsnva" : "0",
"clsnvan" : "0",
"clsvva" : "0",
"clsvvan" : "0"
},
"lasinfo" : {
"lasver" : "1.4",
"lasprf" : "6",
"laswheld" : "Withheld (ignore) points are identified in these files using the standard LAS Withheld bit.",
"lasolap" : "Swath "overage" points are identified in these files using the standard LAS overlap bit.",
"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" : "NIR Water Surface"
},
"lasclass" : {
"clascode" : "17",
"clasitem" : "Bridge Decks"
},
"lasclass" : {
"clascode" : "20",
"clasitem" : "Ignored Ground Near Breaklines"
}
}}
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=9211/details/9211
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/geoid18/9211/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
For the Washington FEMA 3DEP 2018 survey (which includes the QL1 and QL2 survey areas), 128 ground check points were withheld from the calibration and post processing of the LiDAR point cloud, with resulting non-vegetated vertical accuracy of 0.119 meters as compared to unclassified LAS, and 0.119 meters as compared to the bare earth DEM, with 95% confidence. The NVA RMSE value is 6.1 cm.
QSI also assessed absolute accuracy using 4,387 ground control points. Although these points were used in the calibration and post-processing of the LiDAR point cloud, they still provide a good indication of the overall accuracy of the LiDAR dataset. The resulting non-vegetated vertical accuracy was also 0.119 meters as compared to unclassified LAS, and 0.119 meters as compared to the bare earth DEM, with 95% confidence. The NVA RMSE value is 6.1 cm RMSE.
QSI also assessed vertical accuracy using Vegetated Vertical Accuracy (VVA) reporting. VVA compares known ground check point data collected over vegetated surfaces using land class descriptions to the digital elevation model generated by the ground classified LiDAR points. For the Washington FEMA 3DEP 2018 survey, 98 vegetated check points were collected, with resulting vegetated vertical accuracy of 0.251 meters as compared to the bare earth DEM, evaluated at the 95th percentile. The VVA RMSE is 12.9 cm.
Completeness Report
LAS files include all data points collected. No points have been removed or excluded. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. Lidar flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The raw point cloud is of good quality and data passes Vertical Accuracy specifications.
Conceptual Consistency
Classified LAS files were tested by QSI for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas.
Data collected by QSI, Inc. for USGS. The data were downloaded from the USGS rockyftp site and processed to make the data available for download from the NOAA OCM Data Access Viewer (DAV).
LiDAR Pre-Processing:
1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points.
2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data.
3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey.
4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a Geoid12B correction.
5. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines.
6. Using ground classified points per each flight line, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration.
7. Adjust the point cloud by comparing ground classified points to supplemental ground control points.
2019-05-06T00:00:00
LiDAR Post-Processing:
1. Classify data to ground and other client designated classifications using proprietary classification algorithms.
2. Manually QC data classification
3. After completion of classification and final QC approval, calculate NVA and VVA, and density information for the project
2019-05-06T00:00:00
The NOAA Office for Coastal Management (OCM) downloaded the lidar point data from this USGS site:
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL2_2018/LAZ/
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2A_2018/LAZ/
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2B_2018/LAZ/
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B2C_2018/LAZ/
The lidar point files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 14,551.
The data were in UTM Zones 10 (Folders B2A, B2B, B2C) and 11 (Folder B1) (NAD83 2011), meters and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 17, 20.
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 from UTM Zones 10 and 11 (NAD83 2011), meters, to geographic coordinates, to assign the geokeys, to sort the data by gps time, and zip the data to database and to http.
2020-12-11T00:00:00
Office for Coastal Management
processor
Quantum Spatial, Inc.
USGS
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:
2024-03-01T10:03:38
NOAA Office for Coastal Management
coastal.info@noaa.gov
processor