gov.noaa.nmfs.inport:69405
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)
2
row
19137
2
point
1
EPSG::6340
EPSG::5703
2012 USFS Lidar DEM: Colville National Forest, WA
2012 colville NF DEM m9766
2012-11-26
creation
2023-02-10
publication
NOAA/NMFS/EDM
69405
https://www.fisheries.noaa.gov/inport/item/69405
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/geoid18/9754/supplemental/Technical_Data_Report_Colville.pdf
WWW:LINK-1.0-http--link
Colville Data Report
Data report from the contractor. Represents the data as delivered to USFS. Modifications have occurred to the data, as noted in this metadata. The report also describes imagery products that NOAA did not receive.
download
Digital Elevation Model from Light Detection and Ranging data (lidar) of the Colville National Forest Study Area. The requested lidar area of interest (AOI) totals approximately 400 square miles, or 256,155 acres. This area was buffered to ensure data coverage, resulting in a total area flown (TAF) of 282,901 acres.
Provide a lidar point cloud for forestry management.
US Forest Service; Watershed Sciences, Inc.
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
custodian
asNeeded
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM)
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON
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
DEMs - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2012 USFS Lidar DEM: Colville National Forest, WA [Data Date Range], https://www.fisheries.noaa.gov/inport/item/69405.
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: None
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
69405
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/69405.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
elevation
Colville National Forest Study Area
-118.6703
-118.112
48.5114
48.7066
Airborne lidar collection period.
2012-10-03
2012-10-09
false
eng
false
Entity Attribute Detail Citation
https://www.asprs.org/wp-content/uploads/2010/12/asprs_las_format_v12.pdf
WWW:LINK-1.0-http--link
Entity Attribute Detail URL
Entity Attribute Detail URL
information
Zip
Zip
GeoTIFF
Office for Coastal Management
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
WWW:LINK-1.0-http--link
Office for Coastal Management Website
Website listed for Office for Coastal Management
information
distributor
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9766
WWW:LINK-1.0-http--link
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9766
Custom download allowing user selection of area, projection, format, etc.
download
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USFS_Colville_NF_2012_9766/index.html
WWW:LINK-1.0-http--link
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USFS_Colville_NF_2012_9766/index.html
Bulk download of files.
download
dataset
Vertical Positional Accuracy
absolute accuracy RMSE = 0.05 meters
standard deviation = 0.05 meters
Based on checkpoint data. No independent survey data were collected. This is "compiled to meet" in accordance with ASPRS guidelines.
Airborne acquisition was conducted between 10:00am and 2:00pm each day. The LiDAR survey utilized a Leica ALS50 sensor mounted in a Cessna Caravan. The system was set to acquire greater than 114,600 laser pulses per second and flown at 2000 meters above ground level (AGL), capturing a scan angle of ±14 degrees from nadir. These settings are developed to yield points with an average native pulse density of 2 points per square meter over terrestrial surfaces.
Aircraft position was measured twice per second (2 Hz) by an onboard differential GPS unit. Aircraft attitude is described as pitch, roll, and yaw (heading) and was measured 200 times per second (200 Hz) from an onboard inertial measurement unit (IMU).
The study area was surveyed with opposing flight line side-lap of at least 60% (greater than 100% overlap) to reduce laser shadowing and increase surface laser painting. The system allows up to four range measurements per pulse, and all discernable laser returns were processed for the output dataset.
2012-10-09T00:00:00
Resolve GPS kinematic corrections for aircraft position data using kinematic aircraft GPS (Collected at 2 Hz) and static ground GPS (1 Hz) data collected over geodetic controls using POSGNSS v. 5.3, Trimble Business Center v. 2.81, PosPacMMS v 5.4
Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data. Sensor heading, position, and attitude are calculated throughout the survey using POSGNSS v. 5.3, PosPacMMS v5.4
Calculate laser point position by associating SBET information to each laser point return time, with offsets relative to scan angle, intensity, etc. included. This process creates the raw laser point cloud data for the entire survey in *.las (ASPRS v1.2) format, in which each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z information. These data are converted to orthometric elevation (NAVD88) by applying a Geoid 12 correction using OPTECH LiDAR Mapping Suite (LMS) v. 2.1
Import raw laser points into subset bins (less than 500 MB, to accommodate file size constraints in processing software). Filter for noise and perform manual relative accuracy calibration. Ground points are then classified for individual flight lines to be used for relative accuracy testing and calibration using TerraScan v.12, Custom Watershed Sciences software
Test relative accuracy using ground classified points per each flight line. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calibrations are performed on ground classified points from paired flight lines. Every flight line is used for relative accuracy calibration using TerraMatch v.12, TerraScan v.12, Custom Watershed Sciences software.
Assess Fundamental vertical accuracy via direct comparisons of ground classified points to ground RTK survey data with TerraScan v.12
2012-11-20T00:00:00
The TerraScan software suite was used to generate digital elevation models from the point clouds.
The processing sequence began with removal of all points not near the earth based on geometricconstraints used to evaluate multi-return points. The resulting bare earth (ground) model was visually inspected and additional ground point modeling was performed in site-specific areas (over a 50-meter
radius) to improve ground detail. This was only done in areas with known ground modeling deficiencies, such as bedrock outcrops, cliffs, deeply incised stream banks, and dense vegetation. In some cases, ground point classification included known vegetation (i.e., understory, low/dense shrubs,
etc.) and these points were manually reclassified as non-grounds.
2012-01-01T00:00:00
Digital Elevation Models were received by NOAA OCM from USFS. Data were converted from ESRI grid format to Cloud Optimized Geotiff.
2023-02-09T00:00:00
NOAA Office for Coastal Management
(843) 740-1202
coastal.info@noaa.gov
processor
Classified point cloud
USFS
originator
Digital elevation models
USFS
originator
otherRestrictions
otherRestrictions
Access Constraints: None | Use Constraints: None