58102
2010 US B.O.R. Lidar DEM: Klamath River, CA
Data Set
Published / External
49404
DEMs - partner (no harvest)
Project
Completed
2010
2019-10-28
Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data of the Klamath River and associated riparian zones from Klamath Falls, Oregon to Happy Camp, California for Woolpert, Inc. Acquisition of the data occurred between February 27th and March 15th, 2010. The total deliverable area, including a 100 m buffer, is 107,547 acres.
The LiDAR survey used a Leica ALS60 laser system. For the Klamath River survey area, the sensor was set to yield an average native pulse density of > 8 points per square meter over terrestrial surfaces. Up to 4 range measurements are possible per pulse, and all discernible laser returns were processed for the output data set. This lidar data was used to create bare-earth DEMs.
OCM received bare-earth hydroflattened DEM files in ESRI GRID format from the Oregon Lidar Consortium. The files were in California State Plane zone 1 projected coordinate system, NAD83 (HARN) and geoid09, with 3-foot horizontal resolution. No metadata came with this data set; information in this record is derived from the accompanying project report, which is linked below. Additionally, the points from which this DEM was derived are available for download, and are linked in the Related Items section below.
Provide high resolution terrain elevation and land cover elevation data.
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN 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
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
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
Theme
DEM
DoGAMI
Theme
DEM
Light Detection and Ranging
Theme
DEM
bare earth
Theme
DEM
bare ground
Theme
DEM
elevation data
Theme
DEM
high-resolution
Theme
DEM
lidar
Theme
DEM
topography
Theme
Topography
Theme
laser
Spatial
Pacific Northwest
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
US Department of Reclamation, DOGAMI, Woolpert, Inc., Watershed Sciences, Inc.
Data Steward
2019
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
2019
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
2019
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
2019
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
-123.488
-121.7
42.284
41.813
Range
2010-02-27
2010-03-15
Acquisition dates.
3
Foot
Yes
No
Vertical
EPSG:8228
NAVD88 height (ft)
North American Vertical Datum 1988
1
Gravity-related height
H
foot
up
Unclassified
Data is available online for 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.
2019-10-28
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8908
2019
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
2019-10-28
https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8907/
2019
Organization
NOAA Office for Coastal Management
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.
LAZ
LAS/LAZ - LASer
Zip
https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8907/supplemental/extent_m8907.kmz
Browse graphic
Browse Graphic
KMZ
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://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8907/supplemental/Klamath_River_2010_LiDAR_REPORT.pdf
Data set report
Online Resource
PDF
Link to data set report.
At NOAA: Linux RedHat 7
The vertical accuracy of the LiDAR data is described as the mean and standard deviation (sigma - ) of divergence of LiDAR point coordinates from RTK ground survey point coordinates. To provide a sense of the model predictive power of the dataset, the root mean square error (RMSE) for vertical accuracy is also provided. These statistics assume the error distributions for x, y, and z are normally distributed, thus we also consider the skew and kurtosis of distributions when evaluating error statistics.
Statements of statistical accuracy apply to fixed terrestrial surfaces only and may not be applied to areas of dense vegetation or steep terrain. To assess accuracy for the LiDAR dataset, WS collected 2,767 RTK points were on fixed, hard-packed road surfaces within the study area.
Vertical accuracy at 1-sigma is 5.5 cm for this study area, while RMSE is 3 cm.
LiDAR data has been collected and processed for all areas within the project study area.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Data was collected and processed by Watershed Sciences Inc. and Woolpert and delivered to the Oregon Department of Geology and Mineral Industries (DOGAMI). The data was obtained by NOAA from DOGAMI and ingested into the Digital Coast Data Access Viewer.
raw lidar
Organization
Watershed Sciences, Inc
Originator
1
Acquisition.
The LiDAR survey uses a Leica ALS60 laser system mounted on a Cessna Caravan. For the Klamath River survey area, the sensor scan angle was ±13 degrees from nadir1 with a pulse rate designed to yield an average native density (number of pulses emitted by the laser system) of > 8 points per square meter over terrestrial surfaces. All survey areas were surveyed with an opposing flight line side-lap of
>50% (>100% overlap). The Leica ALS60 system allows up to four range measurements (returns) per pulse, and all discernible laser returns were processed for the output dataset. It is not uncommon for some types of surfaces (e.g. dense vegetation or water) to return fewer pulses than the laser originally emitted. These discrepancies between 'native' and 'delivered' density will vary depending on terrain, land cover and the prevalence of water bodies.
raw lidar
2
LiDAR survey datasets were referenced to the 1 Hz static ground GPS data collected over pre- surveyed monuments with known coordinates. While surveying, the aircraft collected 2 Hz kinematic GPS data, and the onboard inertial measurement unit (IMU) collected 200 Hz aircraft attitude data. Waypoint GPS v.8.10 was used to process the kinematic corrections for the aircraft. The static and kinematic GPS data were then post-processed after the survey to obtain an accurate GPS solution and aircraft positions. IPAS v.1.35 was used to develop a trajectory file that includes corrected aircraft position and attitude information. The trajectory data for the entire flight survey session were incorporated into a final smoothed best estimated trajectory (SBET) file that contains accurate and continuous aircraft positions and attitudes.
Laser point coordinates were computed using the IPAS and ALS Post Processor software suites based on independent data from the LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) were assigned an associated (x, y, z) coordinate along with unique intensity values (0-255). The data were output into large LAS v. 1.2 files; each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z (easting, northing, and elevation) information.
The following processing steps were performed on the data:
• LiDAR points were then filtered for noise, pits (artificial low points) and birds (true birds as well as erroneously high points) by screening for absolute elevation limits, isolated points and height above ground.
• Points from overlapping lines were tested for internal consistency and final adjustments were made for system misalignments (i.e., pitch, roll, heading offsets and scale).
• The TerraScan software suite was used for classifying near-ground points (Soininen, 2004). The resulting ground classified points were visually inspected and additional ground point modeling was performed in site-specific areas to improve ground detail.
3
Data was obtained by NOAA Office for Coastal Management from DOGAMI. Data were in California State Plane Zone 1 NAD83(HARN) US survey feet with NAVD88 (Geoid09) US Survey feet vertically. Data were converted to geographic coordinates in ellipsoid heights (meters) using the general cartographic transform package subroutines and reversing the application of GEOID09.
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
58084
Data Set
2010 US B.O.R. Lidar: Klamath River, CA
Cross Reference
Lidar Points from which this DEM was derived
gov.noaa.nmfs.inport:58102
Blake Waring
2019-10-28T15:22:49
SysAdmin InPortAdmin
2023-10-17T16:12:19
2019-10-29
OCM Partners
OCMP
1002
Public
No
2019-10-29
1 Year
2020-10-29