49897
2007 Bureau of Land Management (BLM) Lidar: Panther Creek Watershed, Yamhill County
or2007_panther_creek_m538_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2007
The dataset represents LiDAR elevations acquired during a leaf-off and a leaf-on vegetative condition for the Upper Panther
Creek Watershed in the Yamhill County study area in Oregon. The date of collection for the leaf off data is 20071208.
The date of collection for the leaf on data is 20070903. The area of interest covers ~5577 acres (~8.71 sq miles).
The LiDAR survey utilized a Leica ALS50 Phase II laser mounted in a Cessna Caravan 208B set to acquire greater than or
equal to 105,000 pulses per second (i.e. 105 kHz pulse rate). The scan angle was plus or minus 14 degrees from nadir.
These settings are designed to yield an average native density (number of pulses emitted by the laser system) of greater
than or equal to 8 points per square meter over terrestrial surfaces. LiDAR intensity values were also collected. 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.
Watershed Sciences, Inc. collected the LiDAR and created this data set for the Bureau of Land Management.
Original contact information:
Contact Name: Ian Madin
Contact Org: Oregon Department of Geology and Mineral Industries (DOGAMI)
Phone: 971-673-1542
Email: ian.madin@dogami.state.or.us
Provide high resolution terrain elevation and land cover elevation data.
10541
The report for The LiDAR Remote Sensing Data Collection: Yamhill County, Oregon may be viewed at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/81/supplemental/Yamhill_BLM_LiDAR_Report.pdf
Theme
ISO 19115 Topic Category
elevation
Theme
Bare earth
Theme
Bare ground
Theme
Bureau of Land Management
Theme
High-resolution
Theme
Leaf off
Theme
Leaf on
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 Bureau
of Land Management, the Office for Coastal Management, or its partners.
Bureau of Land Management
Data Steward
2007
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
2007
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
2007
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
2007
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
-123.402927
-123.318967
45.319222
45.273033
Discrete
2007-09-03
Discrete
2007-12-08
Yes
Unclassified
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer
The 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=538
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/geoid18/538/index.html
Bulk Download
Simple download of data files.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/81/index.html
Bulk Download
Simple download of data files.
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 2000 Version 5.2 (Build 3790) Service Pack 2; ESRI ArcCatalog 9.2.0.1324
1/4500th Above Ground Level (AGL).
For more information, please refer to the report for The LiDAR Remote Sensing Data Collection: Yamhill County, Oregon at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/81/supplemental/Yamhill_BLM_LiDAR_Report.pdf
The Root Mean Square Error (RMSE) of the data set is 0.02 meters. Accuracy was
assessed using 524 ground survey (real time kinematic) points.
For more information, please refer to the report for The LiDAR Remote Sensing Data Collection: Yamhill County, Oregon at:
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/81/supplemental/Yamhill_BLM_LiDAR_Report.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 75% 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 1:3500 scale.
1
Acquisition.
The LiDAR data was collected on December 8, and September 3, 2007. A Leica ALS50 Phase II LiDAR system was mounted in a
fixed-wing aircraft. 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.
2007-01-01T00:00:00
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 the ALS Post Processing software suite and IPAS Pro 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 exported as laser points, TINed and GRIDed surfaces.
2007-01-01T00:00:00
3
The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained Lidar
elevation and intensity measurements. The data was in UTM Projection, Zone 10N and NAVD88 Geoid 03 vertical datum. OCM
performed the following processing to the data to make it available within the LDART Retrieval Tool (LDART):
1. The data were converted from UTM coordinates to geographic coordinates.
2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03.
3. The LAS data were sorted by latitude and the headers were updated.
2008-07-17T00:00:00
gov.noaa.nmfs.inport:49897
Anne Ball
2017-11-15T15:23:02
SysAdmin InPortAdmin
2022-08-09T17:11:38
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16