57327
2016 OLC Lidar DEM: Canyon Creek, OR
2016 olc canyon creek m8850
Data Set
Published / External
49404
DEMs - partner (no harvest)
Project
Completed
2019-08-29
The dataset encompasses 251.7 square miles in the Canyon Creek stady area, Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from lidar data using TIN processing of the ground point returns. The DSM and DEM grid cell size is 3 feet. The projection is Oregon Statewide Lambert Conformal Conic, units are in International Feet. The horizontal datum is NAD 83 (2011) and vertical datum is NAVD88 (Geoid 12A). Some elevation values have been interpolated across areas in the models where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI).
This dataset provides high resolution terrain elevation and land cover elevation data in the OLC Canyon Creek project area.
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 > 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
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
xyz location information for objects in the area
This dataset was contracted by Oregon Department of Geology and Mineral Industries (DOGAMI). Information regarding the use of this dataset should be directed to the owner.
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
Oregon Department of Geology and Mineral Industries; 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
-119.529
-118.716
44.345
44.134
Canyon Creek, OR
Range
2016-06-07
2016-06-20
Collection time for the lidar.
.35
Meter
Yes
1
Point
Yes
Row
70513
Distance
3
Foot
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.
2019-08-29
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8850
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
2019-08-29
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_CANYON_CREEK_OR_2016_8850/index.html
2019
Organization
NOAA Office for Coastal Management
Bulk Download
Bulk download of point cloud data files in LAZ format, geographic coordinates, orthometric heights.
GeoTIFF
GeoTIFF
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8849/supplemental/2016_canyon_creek_area_m8849.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/geoid12b/8849/supplemental/2016_OLC_Canyon_Creek_Acceptance_Report.pdf
Acceptance and QA report
Online Resource
pdf
Report by DOGAMI describing data quality tests and results.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8849/supplemental/2016_OLC_Canyon_Creek_SIGNED_UPDATED.pdf
Project Report
Online Resource
pdf
Report by Watershed Sciences Inc detailing the project and processes.
Vertical accuracy analysis of delivered lidar data consisted of differencing collected GCP data and the
lidar Digital Elevation Models (DEM) to expose offsets. These offsets were used to produce a mean
vertical error and vertical RMSE value for the entire delivered data set. Project specifications list the
maximum acceptable mean vertical offset to be 0.20 meters (0.65 feet) and the maximum vertical
RSME to not exceed 0.0925 meters (0.303 feet).
A total of 42 measured GCP's were obtained in the OLC Canyon Creek 2016 area and were compared
with the lidar elevation grids. The data delivered to DOGAMI was found to have a mean
vertical offset of -0.11 meters (-0.36 feet) and an RMSE value of 0.08 meters (0.29 feet). Offset values
ranged from -0.18 meters (-0.61 feet) to 0.03 meters (0.10 feet).
Data set was found to be complete. See the Acceptance Report for more detailed information.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Watershed Sciences Inc. has collected Light Detection and Ranging (LIDAR) data in the Harney Basin Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI).
NOAA OCM has taken the data and ingested it into the Digital Coast Data Access Viewer for distribution.
processed lidar data
Organization
Watershed Sciences, Inc
Originator
raw lidar data
Organization
Watershed Sciences, Inc
Originator
1
Acquisition.
LiDAR data acquisition was conducted from June 06 to June 20, 2016. The survey utilized a Leica ALS 80 laser system mounted in a Cessna 208. Scan angles near nadir were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
2016-05-28T00:00:00
2
Processing.
1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection.
2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information.
3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise.
4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report.
5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition.
6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods.
7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against Ground Check Points (GCP) distributed throughout the study area. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language.
8. DATA PRODUCT: LiDAR points classified as 'ground' were output as a digital elevation model (DEM).
2016-07-05T00:00:00
raw lidar data
3
NOAA/OCM received the data from DOGAMI in Arc Grid format . Data were in NAD83(2011) Oregon Lambert horizontally and NAVD88 (Geoid12a) vertically. All units were international feet. For ingest into the Digital Coast Data Access Viewer and adhere to the Open Data Policy, data were converted to GeoTiff format.
2019-08-29T00:00:00
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
processed lidar data
57326
Data Set
2016 OLC Lidar: Canyon Creek, OR
Cross Reference
Point cloud used to derive this data set
gov.noaa.nmfs.inport:57327
Kirk Waters
2019-08-29T11:03:31
Kirk Waters
2024-01-10T19:07:32
2024-01-10
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16