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OCM Partners Metadata Library > DEMs - partner (no harvest) >

2005 South Slough NERR Lidar DEM: Coos Bay, OR

Data Set (DS)  |  OCM Partners (OCMP)
GUID: gov.noaa.nmfs.inport:62822  |  Updated: January 10, 2024  |  Published / External 
Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Lineage
Catalog Details

Summary

Browse Graphic

Short Citation
OCM Partners, 2024: 2005 South Slough NERR Lidar DEM: Coos Bay, OR, https://www.fisheries.noaa.gov/inport/item/62822.
Full Citation Examples

Abstract

The dataset covers the South Slough Estuary of Coos Bay, near Charleston, Oregon.

The bare earth digital elevation models (DEM) represent the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is one meter.

Watershed Sciences, Inc. collected the LiDAR and created this data set for the South Slough National Estuarine Research Reserve.

Distribution Information

  • Customized Download

    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.

  • Bulk Download
    GeoTIFF

    Bulk download of data files in the original coordinate system.

Access Constraints:

None

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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.

Controlled Theme Keywords

COASTAL ELEVATION, elevation, SEAFLOOR TOPOGRAPHY, TERRAIN 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

Geographic Area 1

-124.3554° W, -124.28767° E, 43.377806° N, 43.248964° S

Time Frame 1
2005-09-05

Date of lidar collection.

Item Identification

Title: 2005 South Slough NERR Lidar DEM: Coos Bay, OR
Status: Completed
Publication Date: 2005
Abstract:

The dataset covers the South Slough Estuary of Coos Bay, near Charleston, Oregon.

The bare earth digital elevation models (DEM) represent the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is one meter.

Watershed Sciences, Inc. collected the LiDAR and created this data set for the South Slough National Estuarine Research Reserve.
Purpose:

Provide high resolution terrain elevation and land cover elevation data.

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
ISO 19115 Topic Category
elevation

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
Global Change Master Directory (GCMD) Science Keywords Coos Bay
Global Change Master Directory (GCMD) Science Keywords Oregon
Global Change Master Directory (GCMD) Science Keywords Pacific Northwest
Global Change Master Directory (GCMD) Science Keywords U.S. Coastline
Global Change Master Directory (GCMD) Science Keywords Western Oregon

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

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 digital data
Distribution Liability:

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: South Slough National Estuarine Research Reserve, Watershed Sciences, Inc.

Support Roles

Data Steward

CC ID: 988407
Date Effective From: 2020
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: 988406
Date Effective From: 2020
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: 988408
Date Effective From: 2020
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: 988409
Date Effective From: 2020
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: 1294149
W° Bound: -124.3554
E° Bound: -124.28767
N° Bound: 43.377806
S° Bound: 43.248964

Extent Group 1 / Time Frame 1

CC ID: 1294148
Time Frame Type: Discrete
Start: 2005-09-05
Description:

Date of lidar collection.

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or 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: 988412
Start Date: 2020-08-28
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9177/details/9177
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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

CC ID: 988413
Start Date: 2020-08-28
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_South_Slough_NERR_DEM_2005_9177/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in the original coordinate system.
File Type (Deprecated): GeoTIFF
Distribution Format: GeoTIFF

URLs

URL 1

CC ID: 988403
URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_South_Slough_NERR_DEM_2005_9177/supplemental/South_Slough_Esturary_Reserve_2005_Survey_Report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to dataset report.

URL 2

CC ID: 988404
URL: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_South_Slough_NERR_DEM_2005_9177/supplemental/SouthSlough_extent_m9177.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: KMZ
Description:

This graphic displays the footprint for this lidar DEM data set.

Technical Environment

Description:

Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722

Data Quality

Horizontal Positional Accuracy:

Qualitative value: 1/3000th AGL, See LiDAR data report.
Vertical Positional Accuracy:

The Root Mean Square Error (RMSE) of the data set is 0.027 meters. Accuracy was assessed using 574 ground survey (real time kinematic) points. See LiDAR data report for more details.
Completeness Report:

LiDAR data has been collected and processed for all areas within the project study area.
Conceptual Consistency:

LiDAR flight lines have been examined to ensure that there was at least 50% 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.

Lineage

Sources

Processed Lidar DEM

CC ID: 1294143
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Watershed Sciences, Inc.

Process Steps

Process Step 1

CC ID: 1294144
Description:

Acquisition.

The LiDAR data was collected during September 2005. An Optech 3100 LiDAR system was mounted in a fixed-wing aircraft and flown 1,100 meters above ground level (AGL). A pulse repetition frequency (PRF) of 71 kHz with at least 100% overlap (minimum 50% side-lap) was used. Greater than 4 points per square meter and 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.

Process Step 2

CC ID: 1294145
Description:

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 REALM survey suite and PosPac 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 REALM software tools 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 broken into processing bins and output areas and output as laser points, TINed and GRIDed surfaces.

Process Step 3

CC ID: 1294146
Description:

The NOAA Office for Coastal Management (OCM) received 1 raster DEM file in ESRI ArcGrid format from DOGAMI. The data were in UTM Zone 10 (NAD83 HARN) coordinates and NAVD88 (Geoid03) elevations in meters. The bare earth raster files were at a 1 m grid spacing.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. Used internal script to assign the EPSG codes (Horiz - 3740, Vert - 5703) and convert to GeoTiff format.

2. Copied the files to https.
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 62822
GUID: gov.noaa.nmfs.inport:62822
Metadata Record Created By: Blake Waring
Metadata Record Created: 2020-08-28 18:53+0000
Metadata Record Last Modified By: Kirk Waters
Metadata Record Last Modified: 2024-01-10 19:13+0000
Metadata Record Published: 2024-01-10
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2020-08-28
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2021-08-28