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Short Citation:
OCM Partners, 2023: 2018 OLC Lidar DEM: Santiam, OR, https://www.fisheries.noaa.gov/inport/item/57942.

Item Identification

Title: 2018 OLC Lidar DEM: Santiam, OR
Short Name: OLC_Santiam_HYDROFLATTENED_BE_DEM_OGIC.xml
Status: Completed
Publication Date: 2019-03-21
Abstract:

This bare earth hydro flattened digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed and hydro flattening performed within the OLC Santiam defined project area. Bare Earth Hydro Flattened DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 1 meter. The dataset encompasses 110,378 acres within Polk County and Marion County in Oregon. The nominal pulse density is eight pulses per square meter. The bare earth (BE) digital elevation model (DEM) raster grid cell size is 3 feet. The native projection is Oregon Statewide Lambert, Lambert Conformal Conic, units are in international feet. The native horizontal datum is NAD83(2011) and the native vertical datum is NAVD88 (Geoid 12B). Quantum Geospatial Inc. collected the lidar and created this dataset for the Oregon Department of Geology and Mineral Industries (DOGAMI).

A link to the points and hydro-breaklines used to create this DEM can be found in the Related Items and URL sections, below.

Purpose:

This dataset provides high resolution elevation data that is used to produce three-dimensional models of the earth surface for the purpose of managing natural resources and mapping natural hazards.

Supplemental Information:

The data were collected for the Oregon Department of Geology and Mineral Industries by Quantum Spatial Inc. under State of Oregon Agency-Specific Price Agreement 7525. The price agreement specifies in Section 2.2 that the Quantum Spatial Inc. provide classified LAS files, intensity grids, digital elevation models (DEMs), digital surface models (DSMs), vector files, and a survey report.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
UNCONTROLLED
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus bare earth
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus digital terrain model (DTM)
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus hillshade
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus hydroflattened digital elevation model (DEM)
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus lidar
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus quadrangle
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus topography

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
UNCONTROLLED
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Continent > North America > United States Of America > Oregon
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus North America
None Continent > North America > United States Of America > Oregon > Marion County
None Continent > North America > United States Of America > Oregon > Polk County

Instrument Keywords

Thesaurus Keyword
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
AIRCRAFT
Global Change Master Directory (GCMD) Platform Keywords
DEM > Digital Elevation Model

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: raster
Distribution Liability:

Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. Acknowledgement of Oregon Department of Geology and Industries (DOGAMI) would be appreciated for products derived from these data.

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners

Data Set Credit: Oregon Department of Geology and Mineral Industries (DOGAMI)

Support Roles

Data Steward

CC ID: 882558
Date Effective From: 2019
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

CC ID: 882557
Date Effective From: 2019
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

CC ID: 882559
Date Effective From: 2019
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

CC ID: 882560
Date Effective From: 2019
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1153528
W° Bound: -123.131443
E° Bound: -122.705748
N° Bound: 45.044279
S° Bound: 44.709907

Extent Group 1 / Time Frame 1

CC ID: 1153527
Time Frame Type: Range
Start: 2018-11-18
End: 2018-11-20

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for custom downloads

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

CC ID: 882564
Start Date: 2019-10-11
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8897
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.

File Type: Zip
Compression: Zip

Distribution 2

CC ID: 882565
Start Date: 2019-10-11
End Date: Present
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/OLC_SANTIAM_2018_8897
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in the original coordinate system.

URLs

URL 1

CC ID: 882553
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
File Resource Format: HTML
Description:

Information on the NOAA Office for Coastal Management (OCM)

URL 2

CC ID: 882554
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

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.

URL 3

CC ID: 882555
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8895/supplemental/extent_m8895.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 882663
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8895/breaklines/index.html
Name: Breaklines
URL Type:
Online Resource
File Resource Format: SHP
Description:

Link to hydrobreaklines and associated metadata used to create this DEM.

URL 5

CC ID: 882664
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8895/supplemental/2018_OLC_Santiam_Data_Report.pdf
Name: Project Report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Project report for overall dataset,.

Technical Environment

Description:

LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Version 8.0, TerraScan Version 16, TerraModeler Version 16, TerraMatch Version 16, ESRI ArcGIS 10.3.1, Windows 7 Operating System

Data Quality

Vertical Positional Accuracy:

State of Oregon Agency-Specific Price Agreement 7525 required that Quantum Spatial Inc. calculate fundamental vertical accuracy of lidar point data by comparing ground survey points (GSPs) on flat surfaces in areas where ground classified point resolution is both high, and the ground surface is open, smooth and without vegetation, to a local triangulated irregular network (TIN) surface of ground classified points. The fundamental vertical accuracy did not exceed 9.25 cm RMSE.Qualitative value:0.022 m RMSE, Test that produced the value: The vertical accuracy was tested using 20 reserved ground survey points (GSPs), or quality assurance points (QAPs) located in open terrain. The QAPs were uniformly distributed throughout the project area. The 20 QAPs were established using GPS or other techniques that result in vertical and horizontal accuracies of 1.5 cm root-mean-square-error (RMSE) or better. Vertical accuracy was assessed by QSI by calculating and averaging the distances between GSPs that are not clustered and a surface interpolated from lidar first returns. The RMSE was computed to be 2.20 centimeters as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines.

Completeness Report:

A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist.

Conceptual Consistency:

Data covers the entire area specified for this project.

Lineage

Sources

See the acceptance report for this project area.

CC ID: 1153521
Extent Type: Range
Extent Start Date/Time: 2018-11-18
Extent End Date/Time: 2018-11-20
Source Contribution:

These data were used to assess the vertical accuracy of the LiDAR point cloud data.

See the report PDF for this project area.

CC ID: 1153523
Extent Type: Discrete
Extent Start Date/Time: 2018-11-21
Source Contribution:

These data was used to classify LiDAR point cloud data.

See the report PDF for this project area.

CC ID: 1153522
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial, Inc.
Extent Type: Discrete
Extent Start Date/Time: 2018-11-21
Citation URL: https://quantumspatial.com/
Citation URL Name: Quantum Spatial
Citation URL Description:

Data Vendor

Source Contribution:

This data was used, along with GPS/IMU data, to georeference LIDAR point cloud data.

Process Steps

Process Step 1

CC ID: 1153524
Description:

1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection.

2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information.

3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise.

4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report.

5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition.

6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods.

7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against reserved Quality Assurance Points (QAPs) distributed throughout the study area and not used during calibration processes. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language.

8. DATA PRODUCT: LiDAR points classified as 'ground' were output as a digital elevation model (DEM).

9. Hydro Flattening Breakline Processing: Class 2 LiDAR was used to create a bare earth surface model. E-Cognition utilized rasters created within Bentley Microstation to auto-generate breaklines of inland streams and rivers with a 100 foot nominal width and Inland Ponds of 2 acres or greater surface area. Breaklines for Lakes with surface area greater than 2 acres were generated using heads-up digitization. Elevation values were assigned to all Inland Ponds and Lakes within ESRI ArcMap; Inland Pond and Lake Islands, Inland Stream and River Islands were assigned elevation values from within ESRI ArcMap. All ground (ASPRS Class 2) LiDAR data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 2.1 meter was also used around each hydro-flattened stream. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10). The breakline files were then translated to ESRI File-Geodatabase format using ESRI conversion tools.

Process Date/Time: 2018-11-21 00:00:00

Process Step 2

CC ID: 1153525
Description:

Data was obtained by NOAA Office for Coastal Management from DOGAMI. Data were in Oregon Lambert NAD83(HARN) international feet with NAVD88(Geoid03) international feet vertically. Data were in ArcGrid proprietary format and were converted to GeoTiff format using GDAL 2.4.0 to comply with the open data policy and for ingest into the Digital Coast Data Access Viewer.

Process Date/Time: 2019-10-11 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2018 OLC Lidar: Santiam, OR

Lidar Point Cloud

Catalog Details

Catalog Item ID: 57942
GUID: gov.noaa.nmfs.inport:57942
Metadata Record Created By: Blake Waring
Metadata Record Created: 2019-10-11 17:44+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