2009 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Medford
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:49905 | Updated: August 9, 2022 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2009 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Medford, https://www.fisheries.noaa.gov/inport/item/49905.
Full Citation Examples
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.
The Medford study area was collected April 29 - May 12, 2009 and covers a portion of Jackson County. The total
flown area covers 380 square miles, or 242,915 acres. This data set consists of bare earth and unclassified points. There
are approximately 8 points per square meter over terrestrial surfaces. 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.
Original contact information:
Contact Name: Ian Madin
Contact Org: DOGAMI
Phone: 971-673-1542
Email: ian.madin@dogami.state.or.us
Distribution Information
-
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
-
Simple download of data files.
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no
longer represent actual surface conditions.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.
Controlled Theme Keywords
elevation
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-123.249957° W,
-122.507457° E,
42.497776° N,
42.001276° S
2009-04-29 - 2009-05-12
Item Identification
Title: | 2009 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Medford |
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Short Name: | or2009_dogami_medford_m1171_metadata |
Status: | Completed |
Publication Date: | 2012-04 |
Abstract: |
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. The Medford study area was collected April 29 - May 12, 2009 and covers a portion of Jackson County. The total flown area covers 380 square miles, or 242,915 acres. This data set consists of bare earth and unclassified points. There are approximately 8 points per square meter over terrestrial surfaces. 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. Original contact information: Contact Name: Ian Madin Contact Org: DOGAMI Phone: 971-673-1542 Email: ian.madin@dogami.state.or.us |
Purpose: |
Provide high resolution terrain elevation and land cover elevation data. |
Notes: |
10549 |
Supplemental Information: |
The Watershed Sciences Lidar Remote Sensing Data Collection Report for Medford may be accessed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1171/supplemental/Medford_Data_Report_2009.pdf A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1171/supplemental/2009_Oregon_DOGAMI_Medford_Lidar.kmz |
Keywords
Theme Keywords
Thesaurus | Keyword |
---|---|
ISO 19115 Topic Category |
elevation
|
UNCONTROLLED | |
None | Bare earth |
None | Bare ground |
None | DOGAMI |
None | High-resolution |
None | Light Detection and Ranging |
Physical Location
Organization: | Office for Coastal Management |
---|---|
City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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Maintenance Frequency: | None Planned |
Distribution Liability: |
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. |
Data Set Credit: | DOGAMI |
Support Roles
Data Steward
Date Effective From: | 2012-04 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Distributor
Date Effective From: | 2012-04 |
---|---|
Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Metadata Contact
Date Effective From: | 2012-04 |
---|---|
Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Point of Contact
Date Effective From: | 2012-04 |
---|---|
Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Extents
Currentness Reference: | Ground Condition |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -123.249957 | |
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E° Bound: | -122.507457 | |
N° Bound: | 42.497776 | |
S° Bound: | 42.001276 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2009-04-29 |
End: | 2009-05-12 |
Spatial Information
Spatial Representation
Representations Used
Vector: | Yes |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1171 This data set is dynamically generated based on user-specified parameters. ; |
Data Access Constraints: |
None |
Data Use Constraints: |
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. |
Distribution Information
Distribution 1
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1171 |
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Distributor: | |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. |
Distribution 2
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1171/index.html |
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Distributor: | |
File Name: | Bulk Download |
Description: |
Simple download of data files. |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer |
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URL Type: |
Online Resource
|
URL 2
URL: | https://coast.noaa.gov |
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URL Type: |
Online Resource
|
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1171/supplemental/2009_Oregon_DOGAMI_Medford_Lidar.kmz |
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Name: | Browse Graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | kmz |
Description: |
This graphic shows the lidar coverage for the Medford data set. |
Activity Log
Activity Log 1
Activity Date/Time: | 2016-05-23 |
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Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-11-14 |
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Description: |
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. |
Activity Log 3
Activity Date/Time: | 2018-02-08 |
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Description: |
Partial upload of Positional Accuracy fields only. |
Activity Log 4
Activity Date/Time: | 2018-03-13 |
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Description: |
Partial upload to move data access links to Distribution Info. |
Technical Environment
Description: |
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.0.1324 |
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Data Quality
Horizontal Positional Accuracy: |
Horizontal accuracies were not specified in the agreement since true horizontal accuracy is regarded as a product of the LiDAR ground foot print. LiDAR is referenced to co-acquired GPS base station data that has accuracies far greater than the value of the LiDAR foot print. The ground footprint is equal to 1/3333rd of above ground flying height. Survey altitude for this acquisition was targeted at 900 meters yielding a ground foot print of 0.27 meters. This value exceeds the typical accuracy value of ground control used to reference the LiDAR data (less than 0.01 m). Project specifications required the LiDAR foot print to fall within 0.15 and 0.40 meters. |
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Vertical Positional Accuracy: |
Based on 2661 RTK points, the absolute vertical accuracy for this data set is 4.88 cm (0.16 ft) RMSE (Root Mean Square Error). |
Completeness Report: |
LiDAR data has been collected and processed for all areas within the project study area. |
Conceptual Consistency: |
Upon receipt from vendor (Watershed Sciences), all LiDAR data was independently reviewed by staff from the Oregon Department of Geology and Mineral Industries (DOGAMI) to ensure project specifications were met. All data were inventoried for completeness and data were checked for quality, which included examining LiDAR data for errors associated with internal data consistency, model quality, and accuracy. |
Lineage
Process Steps
Process Step 1
Description: |
The LiDAR data was collected between April 29 and May 12, 2009. The survey used a Leica ALS50 Phase II laser system mounted in a Cessna Caravan 208B. The system was set to acquire greater than or equal to 105,000 laser pulses per second (i.e. 105 kHz pulse rate) and flown at 900 meters above ground level (AGL), capturing a scan angle of plus or minus 14 degrees from nadir. These settings were developed to yield points with an average native density of greater than or equal to 8 points per square meter over terrestrial surfaces. The native pulse density is the number of pulses emitted by the LiDAR system. Some types of surfaces (i.e. dense vegetation or water) may return fewer pulses than the laser originally emitted. Therefore, the delivered density can be less than the native density and lightly variable according to distributions of terrain, land cover, and water bodies. The completed areas were surveyed with opposing flight line side-lap of greater than or equal to 50% (greater than or equal to 100% overlap) to reduce laser shadowing and increase surface laser painting. The system allows up to four range measurements per pulse, and all discernible laser returns were processed for the output dataset. During the LiDAR survey of the study area, a static (1 Hz recording frequency) ground survey was conducted over monuments with known coordinates. After the airborne survey, the static GPS data were processed using triangulation with CORS stations checked against the Online Positioning User Service (OPUS) to quantify daily variance. Multiple sessions are processed over the same monument to confirm the antenna height measurements and reported position accuracy. Multiple DGPS units are used for the ground real-time kinematic (RTK) portion of the survey. To collect accurate ground surveyed points, a GPS base unit is set up over monuments to broadcast a kinematic correction to a roving GPS unit. The ground crew uses a roving unit to receive radio-relayed kinematic corrected positions from the base unit. This method is referred to as real-time kinematic (RTK) surveying and allows precise location measurement (sigma less than or equal to 1.5 cm (0.6 in)). For the Medford study area, 2661 RTK points were collected. |
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Process Date/Time: | 2009-01-01 00:00:00 |
Process Step 2
Description: |
1. Laser point coordinates are computed using the IPAS and ALS Post Processor software suites based on independent data from the LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) are assigned an associated (x, y, z) coordinate along with unique intensity values (0-255). The data are output into large LAS v. 1.1 files; each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z (easting, northing, and elevation) information. 2. These initial laser point files are too large to process. To facilitate laser point processing, bins (polygons) are created to divide the dataset into manageable sizes (less than 500 MB). Flightlines and LiDAR data are then reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 3. Once the laser point data are imported into bins in TerraScan, a manual calibration is performed to assess the system offsets for pitch, roll, heading, and mirror scale. Using a geometric relationship developed by Watershed Sciences, each of these offsets is resolved and corrected if necessary. 4. The LiDAR points are then filtered for noise, pits, and birds by screening for absolute elevation limits, isolated points, and height above ground. Each bin is then inspected for pits and birds manually; spurious points are removed. For a bin containing approximately 7.5-9.0 million points, an average of 50-100 points are typically found to be artificially low or high. These spurious non-terrestrial laser points must be removed from the dataset. Common sources of non-terrestrial returns are clouds, birds, vapor, and haze. 5. The internal calibration is refined using TerraMatch. Points from overlapping lines are tested for internal consistency and final adjustments are made for system misalignments (i.e., pitch, roll, heading offsets and mirror scale). Automated sensor attitude and scale corrections yield 3-5 cm improvements in the relative accuracy. Once the system misalignments are corrected, vertical GPS drift is then resolved and removed per flight line, yielding a slight improvement (less than 1 cm) in relative accuracy. At this point in the workflow, data have passed a robust calibration designed to reduce inconsistencies from multiple sources (i.e. sensor attitude offsets, mirror scale, GPS drift) using a procedure that is comprehensive (i.e. uses all of the overlapping survey data). Relative accuracy screening was complete. 6. The TerraScan software suite is designed specifically for classifying near-ground points (Soininen, 2004). The processing sequence begins by removing all points that are not near the earth based on geometric constraints used to evaluate multi-return points. The resulting bare earth (ground) model is visually inspected and additional ground point modeling is performed in site-specific areas (over a 50-meter radius) to improve ground detail. This is only done in areas with known ground modeling deficiencies, such as: bedrock outcrops, cliffs, deeply incised stream banks, and dense vegetation. In some cases, ground point classification includes known vegetation (i.e., understory, low/dense shrubs, etc.) and these points are manually reclassified as non-grounds. Ground surface rasters were developed from triangulated irregular networks (TINs) of ground points. |
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Process Date/Time: | 2009-01-01 00:00:00 |
Process Step 3
Description: |
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 Oregon Lambert (NAD83), International Feet projection and NAVD88 (Geoid 03) vertical datum. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from Oregon Lambert (NAD83), International Feet to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03. 3. The vertical units of the data were converted from International feet to meters. 4. Elevation outliers were filtered. |
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Process Date/Time: | 2012-03-01 00:00:00 |
Catalog Details
Catalog Item ID: | 49905 |
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GUID: | gov.noaa.nmfs.inport:49905 |
Metadata Record Created By: | Anne Ball |
Metadata Record Created: | 2017-11-15 15:23+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2022-08-09 17:11+0000 |
Metadata Record Published: | 2022-03-16 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2022-03-16 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2023-03-16 |