69456
2018 USFS Lidar DEM: National Forest Locations (WA, OR)
2018 WA OR Forests USFS DEM m9804
Data Set
Published / External
49404
DEMs - partner (no harvest)
Project
Completed
2023-03-13
Digital Elevation Model created from leaf-on airborne LiDAR collected over approximately 4,141 square miles of national forestry in Oregon and Washington State.
Meet the U.S. Forest Service need for monitoring and assessment.
This metadata was created from the Atlantic, Inc., data report. No FGDC compliant metadata was supplied with the data from USFS.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
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
USA
Data Set
Elevation
None Planned
Model (digital)
U.S. Forest Service; Atlantic, Inc.
Data Steward
2023-03-13
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
2023-03-13
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
2023-03-13
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
-121.19468639
-121.11624439
42.89437835
42.76640243
Sycan Marsh
Range
2018-06-29
2019-01-24
Acquisition dates based on tile filenames.
-121.5859
-121.2956
45.51534
45.2585
East Zone
-120.59047
-119.8764
48.80922
48.23965
Methow Twisp
-119.49611
-119.025902
44.40912
44.28255
North Aldrich
-119.04997
-118.7215075
43.86232
43.72728
Rattlesnake
-120.96962
-120.08232
43.00656
41.991773
Thomas Creek
-118.79006
-118.677443
44.2937
44.12172
Upper Bear Lake
.34
Meter
Yes
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
Public access.
None
None
2023-03-13
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9804/details/9804
2023-03-13
Organization
NOAA Office for Coastal Management
Custom download of data allowing subsetting, change of projection, and generation of derived products.
Zip
Zip
2023-03-13
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USFS_Forests_2018_9804/index.html
2023-03-13
Organization
NOAA Office for Coastal Management
Bulk download of tiles. This will be in an orthometric vertical datum, contrary to this metadata.
GeoTIFF
GeoTIFF
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9774/supplemental/USFS_2018_region6_extent_m9774.kmz
Browse Graphic
Browse Graphic
KMZ
KMZ showing the area covered by the data.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9774/supplemental/18031_All_2018_AOIs.pdf
Data Report
Online Resource
pdf
Data report from the lidar acquisition contractor.
Not tested.
Using 462 validation points, the non-vegetated vertical accuracy (NVA) was 0.12 meters at the 95% confidence level.
Yes
Unknown
Yes
No
NCEI-NC
Data were collected and processed by Atlantic, Inc, for the U.S. Forest Service. The U.S. Forest Service transferred the data to NOAA for distribution on the Digital Coast.
DEM from classified lidar data
Organization
US Forest Service
Originator
1
Atlantic operated a PACDV (N750DV) outfitted with an Optech Galaxy Prime LiDAR system during the collection of the project area. The data was collected with a nominal pulse spacing of 8 pls/m^2 at a nominal flight height of 1500-1800 meters and a nominal flight speed of 130 kts. Scanner pulse rate was 500 kHz. Atlantic acquired 1588 passes of the AOI as a series of perpendicular and/or adjacent flight-lines executed in 44 flight missions conducted between June 29, 2018 and January 24, 2019. 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.
2
Ground Control:
A total of 545 ground survey 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 GCP. 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 GCP 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.
3
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.
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 â¤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.
4
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. Classified point clouds were cut to match the tile index and its corresponding tile names and delivered in .laz format.
The classification scheme was 1=unclassified; 2=ground; 7=low point (noise), 18=high noise.
5
U.S. Forest services remove high and low noise from 2 LAZ files the vendor missed. Points with Source ID's less than 200 (189, 193, 194) were removed from -
FRESY4_503588_978808_20181105.laz
FRESY4_505088_978808_20181105.laz
6
Data were received by NOAA Office for Coastal Management from the U.S. Forest Service with USFS region 6 Albers coordinates in ERDAS Imagine format. Data were converted to cloud optimized GeoTiff format.
2023-03-13T00:00:00
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
DEM from classified lidar data
69420
Data Set
2018 USFS Lidar: National Forest Locations (WA, OR)
Cross Reference
Lidar point cloud used to make this DEM
gov.noaa.nmfs.inport:69456
Kirk Waters
2023-03-22T09:54:07
Kirk Waters
2024-01-10T19:29:16
2024-01-10
OCM Partners
OCMP
1002
Public
No
2023-03-13
3 Years
2026-03-13