2018 OLC Lidar DEM: Santiam, OR

OCM Partners
Data Set (DS) | ID: 57942 | Published / External
Created: 2019-10-11   |   Last Modified: 2024-01-10

Parent: DEMs - partner (no harvest)
Project (PRJ) | ID: 49404

ID: 57942
Data Set (DS)

* Discovery
• First Pass
» Metadata Rubric

Item Identification

* » Title 2018 OLC Lidar DEM: Santiam, OR
Short Name OLC_Santiam_HYDROFLATTENED_BE_DEM_OGIC.xml
* Status Completed
Creation Date  
Revision Date  
• 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.
Notes
Other Citation Details
• 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.
DOI (Digital Object Identifier)  
DOI Registration Authority  
DOI Issue Date  

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
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
   
   
   

Temporal Keywords

Thesaurus Keyword
   
   
   

* 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
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus Continent > North America > United States Of America > Oregon
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus North America
   
   
   

Stratum Keywords

Thesaurus Keyword
   
   
   

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging
   
   
   

Platform Keywords

Thesaurus Keyword
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
• » City Charleston
• » State/Province SC
• Country  
• » Location Description

Data Set Information

* Data Set Scope Code Data Set
• Data Set Type Elevation
• Maintenance Frequency None Planned
Maintenance Note
» Data Presentation Form raster
• Entity Attribute Overview
Entity Attribute Detail Citation
Entity Attribute Detail URL  
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

» At least one Distributor Org, one Metadata Contact, one Point of Contact, and one Data Steward should be listed.
* » Support Role Data Steward
* » Date Effective From 2019
Date Effective To
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
Fax  
Mobile  
URL https://coast.noaa.gov
Business Hours  
Contact Instructions
* » Support Role Distributor
* » Date Effective From 2019
Date Effective To
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
Fax  
Mobile  
URL https://coast.noaa.gov
Business Hours  
Contact Instructions
* » Support Role Metadata Contact
* » Date Effective From 2019
Date Effective To
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
Fax  
Mobile  
URL https://coast.noaa.gov
Business Hours  
Contact Instructions
* » Support Role Point of Contact
* » Date Effective From 2019
Date Effective To
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
Fax  
Mobile  
URL https://coast.noaa.gov
Business Hours  
Contact Instructions
* » Support Role
* » Date Effective From
Date Effective To
* » Contact
* Contact Instructions
* » Support Role
* » Date Effective From
Date Effective To
* » Contact
* Contact Instructions
* » Support Role
* » Date Effective From
Date Effective To
* » Contact
* Contact Instructions

Extents

Currentness Reference Ground Condition

Extent Group 1

Extent Description

Extent Group 1 / Geographic Area 1

* » W° Bound -123.131443
* » E° Bound -122.705748
* » N° Bound 45.044279
* » S° Bound 44.709907
* » Description

Extent Group 1 / Vertical Extent

EPSG Code
Vertical Minimum
Vertical Maximum

Extent Group 1 / Time Frame 1

* » Time Frame Type Range
* » Start 2018-11-18
End 2018-11-20
Alternate Start As Of Info  
Alternate End As Of Info  
Description

Spatial Information

Spatial Resolution

Angular Distance  
Angular Distance Units  
Horizontal Distance  
Horizontal Distance Units  
Vertical Distance  
Vertical Distance Units  
Equivalent Scale Denominator  
Level of Detail Description  
 

Spatial Representation

Grid Representation Used?  
Vector Representation Used?  
Text / Table Representation Used?  
TIN Representation Used?  
Stereo Model Representation Used?  
Video Representation Used?  

Grid Representation

Dimension Count
Cell Geometry
Transformation Parameter Available?  

Axis Dimension
Dimension Type
Size
Resolution
Resolution Units
Resolution Type
Description

Axis Dimension
Dimension Type
Size
Resolution
Resolution Units
Resolution Type
Description

Vector Representation

Topology Level
Complex Object Present?  
Complex Object Count
Composite Object Present?  
Composite Object Count
Curve Object Present?  
Curve Object Count
Point Object Present?  
Point Object Count
Solid Object Present?  
Solid Object Count
Surface Object Present?  
Surface Object Count

Reference Systems

Reference System

EPSG Code

Horizontal Resolution
Horizontal Encoding Method
Latitude Resolution
Longitude Resolution
Coordinate X Resolution
Coordinate Y Resolution
Row Resolution
Column Resolution
Horizontal Units
Distance Resolution
Distance Units
Bearing Resolution
Bearing Units
Reference Direction
Reference Meridian

Vertical Resolution
Vertical Encoding Method
Vertical Resolution
Vertical Units

Access Information

Data License  
Data License URL  
Data License Statement
* » Security Class Unclassified
* Security Classification System
Security Handling Description
• Data Access Policy
» 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.
Metadata Access Constraints
Metadata Use Constraints

Distribution Information

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 Date/Time  
File Type (Deprecated) Zip
Distribution Format  
File Size  
Application Version  
Compression Zip
Review Status  
Start Date 2019-10-11
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.
File Date/Time  
File Type (Deprecated)  
Distribution Format  
File Size  
Application Version  
Compression  
Review Status  
Start Date
End Date
» Download URL
Distributor
File Name
Description
File Date/Time
File Type
FGDC Content Type
File Size
Application Version
Compression
Review Status
Start Date
End Date
» Download URL
Distributor
File Name
Description
File Date/Time
File Type
FGDC Content Type
File Size
Application Version
Compression
Review Status
Start Date
End Date
» Download URL
Distributor
File Name
Description
File Date/Time
File Type
FGDC Content Type
File Size
Application Version
Compression
Review Status

Archive Information

Location
File Identifier
File Name
URL
Description
DOI
Archive Date
Archive Update Frequency
Location
File Identifier
File Name
URL
Description
DOI
Archive Date
Archive Update Frequency
Location
File Identifier
File Name
URL
Description
DOI
Archive Date
Archive Update Frequency

URLs

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 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 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 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 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,.
URL
Name
URL Type
File Resource Format
Description
URL
Name
URL Type
File Resource Format
Description
URL
Name
URL Type
File Resource Format
Description

Activity Log

Activity Time
Activity Type
Responsible Party
Description
Activity Time
Activity Type
Responsible Party
Description
Activity Time
Activity Type
Responsible Party
Description

Issues

Issue Date
Author
Issue
Issue Date
Author
Issue
Issue Date
Author
Issue

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

Representativeness
Accuracy
Analytical Accuracy
Horizontal Positional Accuracy
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.
Quantitation Limits
Bias
Comparability
Completeness Measure
Precision
Analytical Precision
Field Precision
Sensitivity
Detection Limit
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.
» Quality Control Procedures Employed

Data Management

» Have Resources for Management of these Data Been Identified?  
» Approximate Percentage of Budget for these Data Devoted to Data Management  
» Do these Data Comply with the Data Access Directive?  
» Is Access to the Data Limited Based on an Approved Waiver?  
» If Distributor (Data Hosting Service) is Needed, Please Indicate  
» Approximate Delay Between Data Collection and Dissemination  
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed  
 
» Actual or Planned Long-Term Data Archive Location  
» If World Data Center or Other, Specify  
» If To Be Determined, Unable to Archive, or No Archiving Intended, Explain  
 
» Approximate Delay Between Data Collection and Archiving  
» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?  
 

Lineage

» Lineage Statement

Sources

Citation Title See the acceptance report for this project area.
Contact Role Type  
Contact Type  
Contact Name  
Publish Date  
Extent Type Range
Extent Start Date/Time 2018-11-18
Extent End Date/Time 2018-11-20
Scale Denominator  
Citation URL  
Citation URL Name  
Citation URL Description
Source Contribution

These data were used to assess the vertical accuracy of the LiDAR point cloud data.
Citation Title See the report PDF for this project area.
Contact Role Type  
Contact Type  
Contact Name  
Publish Date  
Extent Type Discrete
Extent Start Date/Time 2018-11-21
Extent End Date/Time  
Scale Denominator  
Citation URL  
Citation URL Name  
Citation URL Description
Source Contribution

These data was used to classify LiDAR point cloud data.
Citation Title See the report PDF for this project area.
Contact Role Type Originator
Contact Type Organization
Contact Name Quantum Spatial, Inc.
Publish Date  
Extent Type Discrete
Extent Start Date/Time 2018-11-21
Extent End Date/Time  
Scale Denominator  
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.
Citation Title
Contact Role Type
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Contact Name
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Extent Type
Extent Start Date/Time
Extent End Date/Time
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Contact Name
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Scale Denominator

Process Steps

Process Step Number 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.
Process Date/Time 2018-11-21 00:00:00
Process Contact  
Phone (Voice)  
Email Address  
Source  
Process Step Number 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.
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
Source  
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» Description
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Source

Acquisition Information

Instruments

Instrument Unavailable Reason  
Identifier
Docucomp UUID
Instrument / Gear
Instrument Type
Description
Identifier
Docucomp UUID
Instrument / Gear
Instrument Type
Description
Identifier
Docucomp UUID
Instrument / Gear
Instrument Type
Description

Platforms

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Description

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FAQs

Date
Author
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Answer

Child Items

Rubric scores updated every 15m

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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
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 Workflow State Published / External
Metadata Last Review Date 2022-03-16
Metadata Review Frequency 1 Year
Metadata Next Review Date 2023-03-16
Tags