69508
2017 USFS Lidar DEM: Gifford Pinchot National Forest, WA
Data Set
Published / External
49404
DEMs - partner (no harvest)
Project
Completed
2017
2023-03-28
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.
Digital Elevation Models were produced at 1m horizontal resolution from this lidar 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.
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
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
None Planned
Model (digital)
All derived products for Forest Service R6 Data Resources Management
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
U.S. Forest Service; The Atlantic Group, LLC
Data Steward
2023
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
2023
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
Metadata Contact
2023
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
2023
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
-122.003126
-121.341173
46.845377
46.334694
Range
2017-07-15
2017-07-28
1
Meter
DEM horizontal resolution
Yes
No
No
Yes
No
No
Projected
EPSG:9674
NAD83 / USFS R6 Albers
North American Datum 1983
GRS 1980
6378137
298.257222101
NAD83
US Forest Service region 6 Albers
Albers Equal Area
Latitude of false origin
34
degree
Longitude of false origin
-120
degree
Latitude of 1st standard parallel
43
degree
Latitude of 2nd standard parallel
48
degree
Easting at false origin
600000
metre
Northing at false origin
0
metre
1
Easting
E
metre
east
2
Northing
N
metre
north
Vertical
EPSG:5703
NAVD88 height
North American Vertical Datum 1988
1
Gravity-related height
H
metre
up
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.
2023-03-27
https://chs.coast.noaa.gov/htdata/raster5/elevation/USFS_GiffordPinchot_2017_9807
2023
Organization
NOAA Office for Coastal Management
Bulk Download
Bulk download of data files in Cloud Optimized GeoTiff format, USFS Region 6 Albers NAD83(2011) meters and orthometric heights NAVD88 using Geoid12b in meters.
GeoTIFF
GeoTIFF
2023-03-27
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9807/details/9807
2023
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.
Zip
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/Geoid18/9782/supplemental/2017_GIPGPN_extent_m9782.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/Geoid18/9782/supplemental/Project_Report_17042-GiffordPinchot.pdf
Report
Online Resource
PDF
Not tested.
DEM:
Using 34 validation points, the non-vegetated veritcal accuracy (NVA) for the Digital Elevation Model was 0.175 meters at the 95% confidence level (RMSEz = 0.893 m)
Lidar point cloud:
Using 138 validation points, the non-vegetated vertical accuracy (NVA) for the underlying Lidar Point Cloud was 0.132 meters at the 95% confidence level (RMSEz = 0.0674).
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.
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.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Classified Lidar Data
Organization
US Forest Service
Originator
1
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
2
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
3
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
4
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
5
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
6
Bare earth Digital Elevation Models (DTMs) were derived using the bare earth (ground) LiDAR points. All DEMs were created with a grid spacing of 1.0-meter. DTMs for this project were cut to match the tile index and its corresponding tile names and delivered in img format.
7
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 translated from ERDAS IMAGINE format to Cloud Optimized GeoTiff (COG) format with EPSG codes added for ingest into the NOAA Digital Coast system.
2023-03-21T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
Classified Lidar Data
gov.noaa.nmfs.inport:69508
Blake Waring
2023-03-30T18:27:54
SysAdmin InPortAdmin
2023-10-17T16:12:37
2023-03-31
OCM Partners
OCMP
1002
Public
No
2023-03-28
3 Years
2026-03-28