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Summary

Short Citation
OCM Partners, 2025: 2023 USGS Topobathy Lidar: Santiam River, OR, https://www.fisheries.noaa.gov/inport/item/74249.
Full Citation Examples

Abstract

Original Dataset Product: Classified LAS 1.4 files, formatted to 428 individual 1000m x 1000m tiles covering the Santiam River Topobathy project area.

Original Dataset Geographic Extent: This dataset and derived products encompass an area covering approximately 18,042 acres of Central Cascades in Oregon.

Original Dataset Description: The Santiam River Topobathy Lidar project called for the planning, acquisition, and processing of topobathy Lidar data collected to Quality Level 1 (QL1) standards for NIR, Quality Level 2b (QL2b) standards for green. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 18 vertical datum. Data was projected in UTM Zone 10. Lidar data was delivered as calibrated and classified LAS 1.4 files. Non-Vegetated Vertical Accuracy (NVA) was assessed using 25 check points located on bare earth in clear, unobstructed areas. Submerged Topography accuracy was assessed using 433 check points collected as feasible in depths up to 1m. Vegetated Vertical Accuracy (VVA) was assessed using 11 check points in Tall Grass, Forest, and Shrub landcover types. Single swath nominal pulse spacing (NPS) was designed to be 0.35 at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.18 using all valid first return points. Derived products include: Intensity Imagery, Topbathymetric Digital Elevation Models (DEMs), Maximum Surface Height Rasters (DSMs), waters edge breaklines, and a bathymetric void shape.

Original Dataset Ground Condition: Ground condition was free of snow and acquisition occurred free of smoke, fog and cloud cover

This metadata supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). The NOAA Office for Coastal Management (OCM) downloaded the laz files from the USGS rockyweb site and processed the data to make it available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer (DAV).

Distribution Information

  • Not Applicable

    Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

  • LAS/LAZ - LASer

    Bulk download of data files in LAZ format, UTM Zone 10N NAD83(2011), meters coordinates and NAVD88 (Geoid18) elevations in meters.

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

BATHYMETRY, COASTAL ELEVATION, 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

-123.15065° W, -121.882616° E, 44.838617° N, 44.385686° S

Time Frame 1
2023-08-23
Time Frame 2
2023-08-29 - 2023-08-30
Time Frame 3
2023-09-04 - 2023-09-07

Item Identification

Title: 2023 USGS Topobathy Lidar: Santiam River, OR
Short Name: or2023_santiam_tb_m10238_metadata
Status: Completed
Creation Date: 2023
Publication Date: 2024
Abstract:

Original Dataset Product: Classified LAS 1.4 files, formatted to 428 individual 1000m x 1000m tiles covering the Santiam River Topobathy project area.

Original Dataset Geographic Extent: This dataset and derived products encompass an area covering approximately 18,042 acres of Central Cascades in Oregon.

Original Dataset Description: The Santiam River Topobathy Lidar project called for the planning, acquisition, and processing of topobathy Lidar data collected to Quality Level 1 (QL1) standards for NIR, Quality Level 2b (QL2b) standards for green. Project specifications are based on the U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A. The data was developed based on the NAD83 2011 horizontal datum and the NAVD88 Geoid 18 vertical datum. Data was projected in UTM Zone 10. Lidar data was delivered as calibrated and classified LAS 1.4 files. Non-Vegetated Vertical Accuracy (NVA) was assessed using 25 check points located on bare earth in clear, unobstructed areas. Submerged Topography accuracy was assessed using 433 check points collected as feasible in depths up to 1m. Vegetated Vertical Accuracy (VVA) was assessed using 11 check points in Tall Grass, Forest, and Shrub landcover types. Single swath nominal pulse spacing (NPS) was designed to be 0.35 at nadir. Aggregate Nominal Pulse Spacing (ANPS) was calculated to be 0.18 using all valid first return points. Derived products include: Intensity Imagery, Topbathymetric Digital Elevation Models (DEMs), Maximum Surface Height Rasters (DSMs), waters edge breaklines, and a bathymetric void shape.

Original Dataset Ground Condition: Ground condition was free of snow and acquisition occurred free of smoke, fog and cloud cover

This metadata supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). The NOAA Office for Coastal Management (OCM) downloaded the laz files from the USGS rockyweb site and processed the data to make it available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer (DAV).

Purpose:

The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3D Elevation Program and the Santiam River Topobathy contract. The lidar point cloud data were used to create classified lidar LAS files, intensity images, topobathymetric DEMs, DEMs, highest hit DSMs, 3D breaklines of rivers and lakes within the study area, and a bathymetric void shape.

Supplemental Information:

USGS Contract No. 140G0221D0012

CONTRACTOR: NV5 Geospatial

Ground Control Points were acquired and calibrated by NV5 Geospatial

All lidar data acquisition, calibration, and follow-on processing were completed by NV5 Geospatial.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A",

"ldrsens" : "Riegl VQ-880GII-IR",

"ldrmaxnr" : "15",

"ldrnps" : "0.35",

"ldrdens" : "8",

"ldranps" : "0.18",

"ldradens" : "29.96",

"ldrfltht" : "400-500",

"ldrfltsp" : "145",

"ldrscana" : "42",

"ldrscanr" : "Uniform point spacing",

"ldrpulsr" : "150",

"ldrpulsd" : "3",

"ldrpulsw" : "0.9",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.3",

"ldrswatw" : "307-384",

"ldrswato" : "60-70",

"ldrgeoid" : "Geoid 18"

},

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A",

"ldrsens" : "Riegl VQ-880GII-IR",

"ldrmaxnr" : "15",

"ldrnps" : "0.35",

"ldrdens" : "8",

"ldranps" : "0.18",

"ldradens" : "29.96",

"ldrfltht" : "600-675",

"ldrfltsp" : "130",

"ldrscana" : "42",

"ldrscanr" : "Uniform point spacing",

"ldrpulsr" : "150",

"ldrpulsd" : "3",

"ldrpulsw" : "0.9",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.3",

"ldrswatw" : "461-518",

"ldrswato" : "60-70",

"ldrgeoid" : "Geoid 18"

},

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A",

"ldrsens" : "Riegl VQ-880GII-IR",

"ldrmaxnr" : "15",

"ldrnps" : "0.35",

"ldrdens" : "8",

"ldranps" : "0.18",

"ldradens" : "29.96",

"ldrfltht" : "900-1100",

"ldrfltsp" : "145",

"ldrscana" : "42",

"ldrscanr" : "Uniform point spacing",

"ldrpulsr" : "150",

"ldrpulsd" : "3",

"ldrpulsw" : "0.9",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.3",

"ldrswatw" : "691-845",

"ldrswato" : "60-70",

"ldrgeoid" : "Geoid 18"

},

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A",

"ldrsens" : "Riegl VQ-880G-Green",

"ldrmaxnr" : "15",

"ldrnps" : "0.50",

"ldrdens" : "4",

"ldranps" : "0.24",

"ldradens" : "17.72",

"ldrfltht" : "400-500",

"ldrfltsp" : "145",

"ldrscana" : "40",

"ldrscanr" : "80 lines per second",

"ldrpulsr" : "245",

"ldrpulsd" : "1.5",

"ldrpulsw" : "0.45",

"ldrwavel" : "532",

"ldrmpia" : "1",

"ldrbmdiv" : "0.7",

"ldrswatw" : "291-394",

"ldrswato" : "60-70",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid 18"

},

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A",

"ldrsens" : "Riegl VQ-880G-Green",

"ldrmaxnr" : "15",

"ldrnps" : "0.50",

"ldrdens" : "4",

"ldranps" : "0.24",

"ldradens" : "17.72",

"ldrfltht" : "600-675",

"ldrfltsp" : "130",

"ldrscana" : "40",

"ldrscanr" : "80 lines per second",

"ldrpulsr" : "245",

"ldrpulsd" : "1.5",

"ldrpulsw" : "0.45",

"ldrwavel" : "532",

"ldrmpia" : "1",

"ldrbmdiv" : "0.7",

"ldrswatw" : "437-491",

"ldrswato" : "60-70",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid 18"

},

"ldrinfo" : {

"ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification Version 2022, Revision A",

"ldrsens" : "Riegl VQ-880G-Green",

"ldrmaxnr" : "15",

"ldrnps" : "0.50",

"ldrdens" : "4",

"ldranps" : "0.24",

"ldradens" : "17.72",

"ldrfltht" : "900-1100",

"ldrfltsp" : "145",

"ldrscana" : "40",

"ldrscanr" : "80 lines per second",

"ldrpulsr" : "245",

"ldrpulsd" : "1.5",

"ldrpulsw" : "0.45",

"ldrwavel" : "532",

"ldrmpia" : "1",

"ldrbmdiv" : "0.7",

"ldrswatw" : "655-801",

"ldrswato" : "60-70",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid 18"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0",

"rawnvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points are identified in these files using the standard LAS Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1W",

"clasitem" : "Edge clip"

},

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth ground"

},

"lasclass" : {

"clascode" : "7W",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18W",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground Near Breaklines"

},

"lasclass" : {

"clascode" : "40",

"clasitem" : "Submerged Topography"

},

"lasclass" : {

"clascode" : "41",

"clasitem" : "Water Surface"

},

"lasclass" : {

"clascode" : "45",

"clasitem" : "Water Column"

}

}}

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 > BATHYMETRY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

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: Model (digital)
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: Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data.

Support Roles

Data Steward

CC ID: 1361708
Date Effective From: 2024
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: 1361707
Date Effective From: 2024
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: 1361894
Date Effective From: 2024
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1361709
Date Effective From: 2024
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: 1361710
Date Effective From: 2024
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: 1361713
W° Bound: -123.15065
E° Bound: -121.882616
N° Bound: 44.838617
S° Bound: 44.385686

Extent Group 1 / Time Frame 1

CC ID: 1361712
Time Frame Type: Discrete
Start: 2023-08-23

Extent Group 1 / Time Frame 2

CC ID: 1361895
Time Frame Type: Range
Start: 2023-08-29
End: 2023-08-30

Extent Group 1 / Time Frame 3

CC ID: 1361896
Time Frame Type: Range
Start: 2023-09-04
End: 2023-09-07

Spatial Information

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Reference Systems

Reference System 1

CC ID: 1361703

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and 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: 1361714
Start Date: 2024-12-19
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10238/details/10238
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1361715
Start Date: 2024
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/OR_SantiamRiverTB_D23/OR_SantiamRiverTB_Topobathy_1_D23/LAZ/
Distributor: U.S. Geological Survey (2024 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, UTM Zone 10N NAD83(2011), meters coordinates and NAVD88 (Geoid18) elevations in meters.

Distribution Format: LAS/LAZ - LASer
Compression: LAZ

URLs

URL 1

CC ID: 1361705
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 2

CC ID: 1361897
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_SantiamRiverTB_D23/USGS_OR_SantiamRiverTB_D23_Project_Report.pdf
Name: USGS Project Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

This USGS report provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information.

URL 3

CC ID: 1361898
URL: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/OR_SantiamRiverTB_D23/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the additional information available for this data set from the USGS. This information includes reports, breaklines, and tile index shapefiles.

URL 4

CC ID: 1361899
URL: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_SantiamRiverTB_D23/OR_SantiamRiverTB_Topobathy_1_D23/reports/R042125_OR_Santiam_Bathy_USGS_Final.pdf
Name: Lidar Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the lidar report.

Technical Environment

Description:

LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation CONNECT version, TerraScan Version 20, TerraModeler Version 20, TerraMatch Version 20, ESRI ArcGIS 10.3, Windows 10 Operating System

Data Quality

Horizontal Positional Accuracy:

Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and inertial navigation system (INS) derived attitude error. The obtained RMSEr value is multiplied by a conversion factor of 1.7308 to yield the horizontal component of the National Standards for Spatial Data Accuracy (NSSDA) reporting standard where a theoretical point will fall within the obtained radius 95 percent of the time.

Based on a flying altitude of 500 meters, an IMU error of 0.005 decimal degrees, and a GNSS positional error of 0.023 meters, this project was produced to meet 0.141 meters horizontal accuracy at the 95% confidence level .

Some flightlines throughout the area of interest were flown at an AGL of 700 meters. With the same IMU and GNSS error as the AOIs above, but adjusting the altitude to 700 meters, the horizontal accuracy at the 95% confidence level was 0.193 meters.

The remaining flightlines were flown at an AGL of 1100 meters. With the same IMU and GNSS error as the AOIs above, but adjusting the altitude to 1100 meters, the horizontal accuracy at the 95% confidence level was 0.300 meters,

Vertical Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

NV5 Determined Vertical Accuracy:

The NVA was tested with 25 independent check points located in open terrain and distributed throughout the project as feasible. These check points were not used in the calibration or post processing of the lidar point cloud data. Specifications for this project require that the NVA be 0.196 meters or better AccuracyZ at 95% confidence level.

For the Santiam River survey, 25 ground checkpoints were withheld from the calibration and post-processing of the lidar point cloud, with resulting non-vegetated vertical accuracy of 0.069 meters at the 95% confidence level (or 3.5 cm RMSE) as compared to the classified LAS, and 0.071 meters at the 95% confidence level (or 3.6 cm RMSE) against the bare earth DEM.

NV5 Geospatial also assessed vertical accuracy using Vegetated Vertical Accuracy (VVA) reporting. VVA compares known ground check point data collected over vegetated surfaces using land class descriptions to the triangulated ground surface generated by the ground classified lidar points. For the Santiam River survey, 11 vegetated checkpoints were collected, with resulting vegetated vertical accuracy of 0.182 meters at the 95th percentile (or 9 cm RMSE) as compared to the classified LAS, and 0.182 meters at the 95th Percentile (or 8.5 cm RMSE) as compared to the bare earth DEM.

Bathymetric (submerged or along the water's edge) checkpoints were also collected in order to assess the submerged surface vertical accuracy. Assessment of 432 submerged bathymetric checkpoints resulted in a vertical accuracy of 0.097 meters at the 95% confidence interval (or 4.9 cm RMSE), while assessment of 276 wetted edge checkpoints resulted in a vertical accuracy of 0.104 meters at the 95% confidence interval (or 5.3 cm RMSE).

USGS Determined Vertical Accuracy:

Non-Vegetated Vertical Accuracy (NVA) = 3.38 cm RMSE

Vegetated Vertical Accuracy (VVA) = 16.82 cm at the 95th Percentile

Bathymetric Vertical Accuracy (BVA) = 9.74 cm at the 95th Percentile

Completeness Report:

These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. Bathymetric void areas have been interpolated. A bathymetric void shape has been provided as a separate deliverable. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

Classified LAS files were tested by NV5 for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-NC
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to cloud storage.

Lineage

Lineage Statement:

The NOAA Office for Coastal Management (OCM) downloaded the laz files from the USGS rockyweb site and processed the data to make it available for bulk and custom downloads from the NOAA Digital Coast Data Access Viewer (DAV).

Sources

USGS Rockyweb LAZ Files

CC ID: 1361900
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/OR_SantiamRiverTB_D23/OR_SantiamRiverTB_Topobathy_1_D23/LAZ/
Citation URL Name: USGS Rockyweb LAZ Files

Process Steps

Process Step 1

CC ID: 1361700
Description:

Lidar Pre-Processing:

1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points.

2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data.

3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey.

4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a Geoid 18 correction.

5. Apply refraction correct to bathymetric returns by flightline.

6. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines.

7. Using ground classified points per each flight line, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration.

8. Adjust the point cloud by comparing ground classified points to supplemental ground control points.

Process Date/Time: 2023-12-15 00:00:00

Process Step 2

CC ID: 1361701
Description:

Lidar Post-Processing:

1. Classify data to ground and other client designated classifications using proprietary classification algorithms.

2. Manually QC data classification

3. After completion of classification and final QC approval, calculate final NVA, VVA, and density information for the project using ground control quality check points.

Process Date/Time: 2023-12-15 00:00:00

Process Step 3

CC ID: 1361901
Description:

The Office for Coastal Management (OCM) downloaded laz files from the USGS rockyweb site for the Santiam River, OR topobathy dataset. The data were in UTM Zone 10N, NAD83(2011), meters coordinates and NAVD88 (Geoid18) elevations in meters. The points were classified as 1- Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Deck, 18 - High Noise, 20 - Ignored Ground near breakline, 40 - Bathymetric Bottom, 41 - Water Surface, 45 - Water Column. The classes available on DAV are: 1, 2, 9, 17, 20, 40, 41, 42, 45.

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

1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges.

2. Internal OCM scripts were run on the laz files to:

a. Convert from orthometric (NAVD88) elevations in meters to NAD83 (2011) ellipsoid elevations in meters using the Geoid18 model

b. Convert the laz files from UTM Zone 10N, NAD83(2011), meters coordinates to geographic coordinates

c. Assign the geokeys, sort the data by gps time and zip the data to database

Process Date/Time: 2024-12-26 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2023 USGS Topobathy Lidar DEM: Santiam River, OR

Catalog Details

Catalog Item ID: 74249
GUID: gov.noaa.nmfs.inport:74249
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2024-12-26 20:42+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2024-12-27 18:47+0000
Metadata Record Published: 2024-12-27
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2024-12-27
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2025-12-27