2011 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Umatilla
This kmz file shows the extent of coverage for the 2011 DOGAMI Umatilla Study Area
lidar data set..
The Oregon Department of Geology and Mineral Industries (DOGAMI) contracted with Watershed
Sciences, Inc. to collect high resolution topographic LiDAR data for multiple areas
within the State of Oregon. The areas for LiDAR collection have been designed as part
of a collaborative effort of state, federal, and local agencies in order to meet a
wide range of project goals. This LiDAR data set was collected from March 12 - May
13, 2011 and encompasses portions of Umatilla and Union counties in Oregon. This data
set consists of bare earth and unclassified points. The average pulse density is 8.91
pulses per square meter over terrestrial surfaces. The area of interest (AOI) encompasses
402 square miles (257,473 acres) and the total area flown (TAF) covers 417 square
miles (266,575 acres). The TAF acreage is greater than the original AOI acreage due
to buffering and flight planning optimization. In some areas of heavy vegetation or
forest cover, there may be relatively few ground points in the LiDAR data. Elevation
values for open water surfaces are not valid elevation values because few LiDAR points
are returned from water surfaces. LiDAR intensity values were also collected.
Cite this dataset when used as a source.
|Search and Download
|| Distributor information not available
| Point of Contact
Documentation links not available.
- Oregon Department of Geology and Mineral Industries (DOGAMI)
|Data Presentation Form:
|| Digital image
|Dataset Progress Status
|Data Update Frequency:
|| Not planned
||Provide high resolution terrain elevation and land cover elevation data.
||2011-03-12 to 2011-05-13
|Spatial Reference System:
|Spatial Bounding Box Coordinates:
|Spatial Coverage Map:
- Light Detection and Ranging
- Digital Terrain Model
- Elevation data
- Bare earth
- Bare ground
- United States
- Pacific Northwest
- Umatilla County
- Union County
| Use Constraints
|| No constraint information available
|| Fee information not available.
|| Lineage statement not available.
| Processing Steps
- No metadata for the lidar point data was provided to NOAA CSC with this data set.
The following process step contains information derived from the metadata record for
the DEM (Digital Elevation Model), which is a product of the lidar point data, and
the Watershed Sciences, Inc. lidar report. This lidar report may be accessed at: ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/umatilla/OLC_Umatilla_LiDAR_Data_Report_REV1.pdf
Acquisition 1. The lidar data were collected between March 12 - May 13, 2011. 2. The
survey used Leica ALS50 Phase II and ALS60 laser systems mounted in a Cessna Caravan
208B. 3. Near nadir scan angles were used to increase penetration of vegetation to
ground surfaces. 4. Ground level GPS and aircraft IMU were collected during the flight.
5. Because of project deadlines, portions of the Umatilla study area acquired in higher
elevations captured springtime snow pack, particularly in the Mt. Emily area. 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
- The NOAA Coastal Services Center (CSC) received the files in las format. The files
contained LiDAR elevation and intensity measurements. The data were delivered in Oregon
Statewide Lambert Conformal Conic projection, NAVD88 (Geoid03) vertical datum and
units in International Feet. CSC performed the following processing for data storage
and Digital Coast provisioning purposes: 1. The data were converted from OGIC(HARN)
NAD83 coordinates to geographic coordinates. 2. The data were converted from NAVD88
(orthometric) heights to GRS80 (ellipsoid) heights using Geoid03. 3. The data were
converted from International Feet to meters 4. The data were sorted by time. 5. The
data were converted to LAZ format.
- The NOAA National Geophysical Data Center (NGDC) received lidar data files via ftp
transfer from the NOAA Coastal Services Center. The data are currently
being served via NOAA CSC Digital Coast at http://www.csc.noaa.gov/digitalcoast/.
The data can be used to re-populate the system. The data are archived in LAS or LAZ
The LAS format is an industry standard for LiDAR data developed by the American Society
of Photogrammetry and Remote Sensing (ASPRS); LAZ is a loseless compressed version
LAS developed by Martin Isenburg (http://www.laszip.org/). The data are exclusively
in geographic coordinates (either NAD83 or ITRF94). The data are referenced vertically
the ellipsoid (either GRS80 or ITRF94), allowing for the ability to apply the most
up to date geoid model when transforming to orthometric heights.
Metadata Last Modified: 2013-02-20
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