gov.noaa.nmfs.inport:69501
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
2023-10-17T16:12:37
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
point
60309155721
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
2017 USFS Lidar: Gifford Pinchot National Forest, WA
2017
creation
2023-03-28
publication
NOAA/NMFS/EDM
69501
https://www.fisheries.noaa.gov/inport/item/69501
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
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
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9782/supplemental/Project_Report_17042-GiffordPinchot.pdf
WWW:LINK-1.0-http--link
Report
Online Resource
download
The United States Forest Service, Region 6, (USFS) required leaf-on airborne LiDAR surveys to be collected over of national forestry in Oregon and Washington State. The following areas were requested to be covered: Gifford Pinchot National Forest (GIP) in Vancouver, Washington; Okanogan-Wenatchee National Forest (OKA) in Wenatchee, Washington; Malheur National Forest (MAL) in John Day, Oregon; Deschutes National Forest (DES) in Bend, Oregon, Willamette National Forest (WIL) in Eugene, Oregon, Umpqua National Forest (UMP) in Douglas, Lane, and Jackson Counties, Oregon. The following report applies to the Gifford Pinchot AOI, which encompasses approximately 1267 square miles of the Gifford Pinchot National Forest in Oregon.
Aerial LiDAR data for this task order was planned, acquired, processed and produced at an aggregate nominal pulse spacing (ANPS) of 0.35 meters and aggregate nominal pulse density of 8 pulses per square meter.
This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
The primary goals of this project are to provide high accuracy Light Detection and Ranging (LiDAR) data to enhance project planning and implementation; identify areas for the implementation of forest restoration treatments designed to restore forest structure in young-growth stands; and to provide engineering and resource specialists more information for on-the-ground project planning. In addition, these data will be used by researchers and scientists to characterize vegetation type and structure as it currently exists on the landscape and to provide a detailed, accurate, and precise benchmark for future change detection work. The data products specified herein may also be used for vegetation mapping, road identification and mapping, hydrologic feature delineation, and landcover characterization applications including a canopy height model, understory vegetation prediction, and other stand metrics.
U.S. Forest Service; The Atlantic Group, LLC
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 Feb 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/geoid18/9782/supplemental/2017_GIPGPN_extent_m9782.kmz
This graphic displays the footprint for this lidar data set.
KML
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
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
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2017 USFS Lidar: Gifford Pinchot National Forest, WA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/69501.
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
otherRestrictions
Access Constraints: None | 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 Liability: The data represented is the result of data collection and processing per contract specifications and indicates the general existing conditions at the time of data collection. As such, it is only valid for its intended use, content, time, and accuracy specifications. The user is responsible for the results of any application of the data for other than its intended purpose.
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
69501
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/69501.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
.25
eng; US
elevation
-122.003126
-121.341173
46.334694
46.845377
| Currentness: Ground Condition
2017-07-15
2017-07-28
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "BOR-NGP Base Lidar Specification v1.2",
"ldrsens" : "Leica ALS70-HP",
"ldrmaxnr" : "unlimited",
"ldrnps" : "0.2311",
"ldrdens" : "18.7167",
"ldranps" : "0.2309",
"ldradens" : "18.7501",
"ldrfltht" : "2400",
"ldrfltsp" : "120",
"ldrscana" : "24",
"ldrscanr" : "43.9",
"ldrpulsr" : "260",
"ldrpulsd" : "4",
"ldrpulsw" : "0.50",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.15",
"ldrswatw" : "935",
"ldrswato" : "55",
"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12B"
},
"ldraccur" : {
"ldrchacc" : "0",
"rawnva" : "0",
"rawnvan" : "0",
"clsnva" : "0.1321",
"clsnvan" : "138",
"clsvva" : "0",
"clsvvan" : "0"
},
"lasinfo" : {
"lasver" : "1.4",
"lasprf" : "6",
"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",
"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",
"lasintr" : "32",
"lasclass" : {
"clascode" : "1",
"clasitem" : "Unclassified"
},
"lasclass" : {
"clascode" : "2",
"clasitem" : "Ground"
},
"lasclass" : {
"clascode" : "7",
"clasitem" : "Low point (noise)"
},
"lasclass" : {
"clascode" : "18",
"clasitem" : "High Point (Noise)"
}
}}
false
eng
false
All derived products for Forest Service R6 Data Resources Management
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=9782/details/9782
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/geoid18/9782/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
Horizontal Positional Accuracy
Not tested.
Vertical Positional Accuracy
Using 138 validation points, the non-vegetated vertical accuracy (NVA) was 0.132 meters at the 95% confidence level (RMSEz = 0.0674).
Completeness Report
Area of interest covers project area. 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 NVA 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
All lidar data and lidar derived data covers the entire area of interest. 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.
Aircraft and Sensor Information and Flight Plan Execution
Atlantic operated a Leica ALS70-HP LiDAR system on a Cessna (N732JE) for the project area. Atlantic acquired 1391 passes of the AOI as a series of perpendicular and/or adjacent flight-lines executed in flight 41 missions conducted between July 15, 2017 and September 28, 2017. Onboard differential Global Navigation Satellite System (GNSS) unit(s) recorded sample aircraft positions at 2 hertz (Hz) or more frequency. LiDAR data was only acquired when a minimum of six (6) satellites were in view.
2019-09-28T00:00:00
Ground Control Survey
A total of 138 Non-vegetated Vertical Accuracy (NVA) points were collected in support of this project.
Point cloud data accuracy was tested against a Triangulated Irregular Network (TIN) constructed from LiDAR points in clear and open areas. A clear and open area can be characterized with respect to topographic and ground cover variation such that a minimum of five (5) times the Nominal Pulse Spacing (NPS) exists with less than 1/3 of the RMSEZ deviation from a low-slope plane. Slopes that exceed ten (10) percent were avoided.
Each land cover type representing ten (10) percent or more of the total project area were tested and reported with a VVA. In land cover categories other than dense urban areas, the tested points did not have obstructions forty-five (45) degrees above the horizon to ensure a satisfactory TIN surface. The VVA value is provided as a target. It is understood that in areas of dense vegetation, swamps, or extremely difficult terrain, this value may be exceeded.
The NVA value is a requirement that must be met, regardless of any allowed “busts” in the VVA(s) for individual land cover types within the project. Checkpoints for each assessment (NVA and VVA) are required to be well-distributed throughout the land cover type, for the entire project area.
2019-04-29T00:00:00
LiDAR Point Cloud Generation
Atlantic used Leica software products to download the IPAS ABGNSS/IMU data and raw laser scan files from the airborne system. Waypoint Inertial Explorer is used to extract the raw IPAS ABGNSS/IMU data, which is further processed in combination with controlled base stations to provide the final Smoothed Best Estimate Trajectory (SBET) for each mission. The SBETs are combined with the raw laser scan files to export the LiDAR ASCII Standard (*.las) formatted swath point clouds
2020-09-01T00:00:00
LiDAR Calibration
Using a combination of GeoCue, TerraScan and TerraMatch; overlapping swath point clouds are corrected for any orientation or linear deviations to obtain the best fit swath-to-swath calibration. 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 missions, was reduced to ≤2cm. A final analysis of the calibrated lidar is preformed using a TerraMatch tie line report for an overall statistical model of the project area.
Upon completion of the data calibration, a complete set of elevation difference intensity rasters (dZ Orthos) are produced. A user-defined color ramp is applied depicting the offsets between overlapping swaths based on project specifications. The dZ orthos provide an opportunity to review the data calibration in a qualitative manner. Atlantic assigns green to all offset values that fall below the required RMSDz requirement of the project. A yellow color is assigned for offsets that fall between the RMSDz value and 1.5x of that value. Finally, red values are assigned to all values that fall beyond 1.5x of the RMSDz requirements of the project.
2020-09-01T00:00:00
LiDAR Classification
Multiple automated filtering routines are applied to the calibrated LiDAR point cloud identifying and extracting bare-earth and above ground features. GeoCue, TerraScan, and TerraModeler software was used for the initial batch processing, visual inspection and any manual editing of the LiDAR point clouds. Atlantic utilized collected breakline data to preform classification for classes 9 (Water) and 20 (Ignored Ground).
1 Processed, Unclassified
2 Ground
7 Low Point (Noise)
18 High Point (Noise)
2020-09-01T00:00:00
Data were received by NOAA Office for Coastal Management from the U.S. Forest Service in USFS region 6 Albers coordinates. Vertical coordinates were NAVD88 meters based on Geoid12b. The data were reprojected to geographic coordinates on the ellipsoid (EPSG:6319) for ingest into the NOAA Digital Coast system.
2023-03-21T00:00:00
Office for Coastal Management
processor
Classified Lidar Data
US Forest Service
originator
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:
2024-02-01T12:06:47
NOAA Office for Coastal Management
coastal.info@noaa.gov
processor