2018 OLC Lidar DEM: Santiam, OR
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:57942 | Updated: January 10, 2024 | Published / External
Item Identification
Title: | 2018 OLC Lidar DEM: Santiam, OR |
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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 |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
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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 |
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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
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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 |
Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
|
Global Change Master Directory (GCMD) Platform Keywords |
DEM > Digital Elevation Model
|
Physical Location
Organization: | Office for Coastal Management |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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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
Date Effective From: | 2019 |
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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: | 2019 |
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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 |
Metadata Contact
Date Effective From: | 2019 |
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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 |
Point of Contact
Date Effective From: | 2019 |
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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 |
Extents
Currentness Reference: | Ground Condition |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -123.131443 | |
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E° Bound: | -122.705748 | |
N° Bound: | 45.044279 | |
S° Bound: | 44.709907 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2018-11-18 |
End: | 2018-11-20 |
Access Information
Security Class: | Unclassified |
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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
Start Date: | 2019-10-11 |
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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 (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2019-10-11 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_SANTIAM_2018_8897/index.html |
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
URL: | https://coast.noaa.gov/ |
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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
URL: | https://coast.noaa.gov/dataviewer/ |
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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
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8895/supplemental/extent_m8895.kmz |
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Name: | Browse graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | KML |
Description: |
This graphic displays the footprint for this lidar data set. |
URL 4
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8895/breaklines/index.html |
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Name: | Breaklines |
URL Type: |
Online Resource
|
File Resource Format: | SHP |
Description: |
Link to hydrobreaklines and associated metadata used to create this DEM. |
URL 5
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8895/supplemental/2018_OLC_Santiam_Data_Report.pdf |
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Name: | Project Report |
URL Type: |
Online Resource
|
File Resource Format: | |
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 |
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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. |
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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.
Extent Type: | Range |
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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.
Extent Type: | Discrete |
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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.
Contact Role Type: | Originator |
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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
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. |
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Process Date/Time: | 2018-11-21 00:00:00 |
Process Step 2
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. |
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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 |
Catalog Details
Catalog Item ID: | 57942 |
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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: | Kirk Waters |
Metadata Record Last Modified: | 2024-01-10 19:08+0000 |
Metadata Record Published: | 2024-01-10 |
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 |