2023 USGS Topobathy Lidar: Santiam River, OR
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:74249 | Updated: December 27, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2025: 2023 USGS Topobathy Lidar: Santiam River, OR, https://www.fisheries.noaa.gov/inport/item/74249.
Full Citation Examples
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.
None
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
-123.15065° W,
-121.882616° E,
44.838617° N,
44.385686° S
2023-08-23
2023-08-29 - 2023-08-30
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 |
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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: | 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
Date Effective From: | 2024 |
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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: | 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
Date Effective From: | 2024 |
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Date Effective To: | |
Contact (Organization): | U.S. Geological Survey |
Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
URL: | USGS Home |
Metadata Contact
Date Effective From: | 2024 |
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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: | 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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -123.15065 | |
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E° Bound: | -121.882616 | |
N° Bound: | 44.838617 | |
S° Bound: | 44.385686 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
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Start: | 2023-08-23 |
Extent Group 1 / Time Frame 2
Time Frame Type: | Range |
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Start: | 2023-08-29 |
End: | 2023-08-30 |
Extent Group 1 / Time Frame 3
Time Frame Type: | Range |
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Start: | 2023-09-04 |
End: | 2023-09-07 |
Spatial Information
Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Reference Systems
Reference System 1
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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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
Start Date: | 2024-12-19 |
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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
Start Date: | 2024 |
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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
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 2
URL: | https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/OR_SantiamRiverTB_D23/USGS_OR_SantiamRiverTB_D23_Project_Report.pdf |
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Name: | USGS Project Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
This USGS report provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information. |
URL 3
URL: | https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/OR_SantiamRiverTB_D23/ |
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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
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 |
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Name: | Lidar Report |
URL Type: |
Online Resource
|
File Resource Format: | |
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 |
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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, |
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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 |
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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). |
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Sources
USGS Rockyweb LAZ Files
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
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. |
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Process Date/Time: | 2023-12-15 00:00:00 |
Process Step 2
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. |
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Process Date/Time: | 2023-12-15 00:00:00 |
Process Step 3
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 |
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Process Date/Time: | 2024-12-26 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Related Items
Item Type | Relationship Type | Title |
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Data Set (DS) | Cross Reference |
2023 USGS Topobathy Lidar DEM: Santiam River, OR |
Catalog Details
Catalog Item ID: | 74249 |
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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 |