55823
2011 OLC Lidar: Upper Sandy River (OR)
2011 upper sandy river m8685
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2011
2019
The dataset encompasses a lidar elevation point cloud for areas including and surrounding the Sandy River, Oregon.
Watershed Sciences, Inc. collected the LiDAR and created this data set for the Oregon Department of Geology and Mineral Industries (DoGAMI).
Provide high resolution terrain elevation data.
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 > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
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
Theme
REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
bare earth
Theme
DoGAMI
Theme
Light Detection and Ranging
Theme
bare ground
Theme
high-resolution
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
raster digital data
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
DoGAMI, Watershed Sciences, Inc.
Leica ALS60
Cessna Caravan 2088
Data Steward
2018
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
2018
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
2018
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
2018
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
-122.418927
-121.820369
45.57099999
45.29112
Range
2011-08-30
2011-09-03
Range of dates for data collection.
.35
Meter
Yes
Yes
Yes
Geographic 2D
EPSG:4152
NAD83(HARN)
NAD83 (High Accuracy Reference Network)
GRS 1980
6378137
298.257222101
1
Geodetic Lattitude
Lat
degree
north
2
Geodetic Longitude
Lon
degree
east
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.
2018
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8685
2018
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.
Multiple formats
Zip
2018
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8685/index.html
2018
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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8685/supplemental/extent_upper_sandy_m8685.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/
NOAA's Office for Coastal Management (OCM) website
Online Resource
HTML
Information on the NOAA Office for Coastal Management (OCM)
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/geoid18/8685/supplemental/OLC_Upper_SANDY.pdf
Dataset report
Online Resource
PDF
Link to data set report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8685/supplemental/breaklines.zip
Breaklines
Online Resource
zip
Zipped shapefile of the breaklines.
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.1850
Qualitative value: , Test that produced the valued: See LiDAR data report.
Qualitative value:RMSE = 0.04 meters, Test that produced the value: The Root Mean Square Error (RMSE) of the data set is 0.04 meters (0.13 ft). Accuracy was assessed using 193 ground survey (real time kinematic) points. These ground survey points are distributed through out the OLC Burns study area. See LiDAR data report.
LiDAR data has been collected and processed for all areas within the project study area.
LiDAR flight lines have been examined to ensure that there was at least 50% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values.
Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:3000 scale.
1
Acquisition.
The LiDAR data were collected between August 30 and September 3, 2011. The survey used a Leica ALS60 laser systems mounted in a Cessna Caravan 208B. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
2
Processing.
1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points.
2. Laser point return coordinates were computed using ALS Post Processor software and IPAS Pro GPS/INS software, based on independent data from the LiDAR system, IMU, and aircraft.
3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate.
4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment.
5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency.
6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips.
7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area.
8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies.
9. Points were output as laser points, TINed and GRIDed surfaces.
3
Point data were received from the Oregon Lidar Consortium in LAZ format, Oregon Lambert projection NAD83(HARN) and NAVD88 (GEOID03) heights. Horizontal and vertical units were in international feet.
For ingestion into the Digital Coast, data were converted to geographic coordinates and the GEOID03 model was removed from the vertical. Vertical units were converted to meters. LAZ files were originally missing georeferencing information. This was added.
2019-03-11T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
55841
Data Set
2011 OLC Lidar DEM: Upper Sandy River (OR)
Cross Reference
Digital elevation model made from this point cloud.
gov.noaa.nmfs.inport:55823
Kirk Waters
2019-03-11T14:57:54
SysAdmin InPortAdmin
2023-10-17T16:12:18
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16