49914
2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Klamath Study Area
or2010_dogami_klamath_m1410_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2012
The Oregon Department of Geology & 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 over six deliveries from September 14 through October 27, 2010 and encompasses portions of Klamath
and Lake counties in Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 8.61 pulses
per square meter over terrestrial surfaces. The area of interest (AOI) totals 1054 square miles (674,756 acres) and the total area
flown (TAF) covers 1083 square miles (692,999 acres). The TAF acreage is greater than the original AOI acreage due to buffering
and flight planning optimization. This metadata record reflects all the data and cumulative statistics for the overall lidar survey.
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.
Dates of acquisition for the six deliveries that make up this data set.
Delivery Area Acquisition Dates AOI Acres TAF Acres
1 Sept 14 - 22, 2010 104,196 106,995
2 Sept 20 - Oct 18, 2010 67,937 71,599
3 Sept 14 - Oct 16, 2010 127,789 131,580
4 Oct 6 - 27, 2010 155,387 157,875
5 Sept 23 - Oct 18, 2010 92,762 95,612
6 Sept 27 - Oct 16, 2010 126,685 129,338
Original contact information:
Contact Name: Ian Madin
Contact Org: DOGAMI
Phone: 971-673-1542
Email: ian.madin@dogami.state.or.us
Provide high resolution terrain elevation and land cover elevation data.
10558
The final LiDAR Report for the Klamath study area may be accessed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/OLC_Klamath_Delivery_6.pdf
A footprint of this data set may be viewed in Google Earth at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/2010_Oregon_DOGAMI_Klamath_Lidar.kmz
Theme
ISO 19115 Topic Category
elevation
Theme
Bare earth
Theme
Bare ground
Theme
DOGAMI
Theme
High-resolution
Theme
Light Detection and Ranging
Office for Coastal Management
Charleston
SC
Data Set
None Planned
Any conclusions drawn from the analysis of this information are not the responsibility of the Oregon
Department of Geology and Mineral Industries (DOGAMI), the Office for Coastal Management or its partners.
DOGAMI
Data Steward
2012
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
2012
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
2012
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
2012
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
-122.193846
-120.811946
43.073016
42.134116
Range
2010-09-14
2010-10-27
Yes
Unclassified
This data can be obtained on-line at the following URL:
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1410
This data set is dynamically generated based on user-specified parameters.
;
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.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1410
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/index.html
Bulk Download
Simple download of data files.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/2010_Oregon_DOGAMI_Klamath_Lidar.kmz
Browse Graphic
Browse Graphic
kmz
This graphic shows the lidar coverage for the Klamath Study Area.
https://coast.noaa.gov
Online Resource
https://coast.noaa.gov/dataviewer
Online Resource
2016-05-23
Date that the source FGDC record was last modified.
2017-11-14
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.
2018-02-08
Partial upload of Positional Accuracy fields only.
2018-03-13
Partial upload to move data access links to Distribution Info.
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.0.1324
Not specified in final report, assumed to be 1 m.
The Root Mean Square Error (RMSE) of the data is 0.03 meters (0.11 ft). Accuracy was assessed using 6,862 ground survey (real time
kinematic) points. These ground survey points are distributed throughout the OLC Klamath study area.
The final LiDAR Report for the Klamath study area may be accessed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/OLC_Klamath_Delivery_6.pdf
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 percent 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 were examined at the 1:3000 scale.
1
No metadata for the lidar point data was provided to NOAA OCM 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:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1410/supplemental/OLC_Klamath_Delivery_6.pdf
Acquisition
1. Lidar data acquisition began September 14,2010 and was completed October 27, 2010.
2. The survey used both a Leica ALS50 Phase II and a Leica ALS60 laser system 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.
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
2010-01-01T00:00:00
2
The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained LiDAR
elevation and intensity measurements. The data were in OGIC HARN, Oregon Statewide Lambert Conformal Conic Projection (NAD83/HARN),
NAVD88 (Geoid03) vertical datum and International Feet. OCM performed the following processing for data storage and Digital Coast
provisioning purposes:
1. The data were converted from OGIC HARN, Oregon Statewide Lambert Conformal Conic Projection (NAD83/HARN) 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 and zipped to laz format.
2012-12-01T00:00:00
gov.noaa.nmfs.inport:49914
Anne Ball
2017-11-15T15:23:08
SysAdmin InPortAdmin
2022-08-09T17:11:37
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16