2021 USGS QL2 Lidar: San Bernardino, CA
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:73204 | Updated: August 1, 2024 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2021 USGS QL2 Lidar: San Bernardino, CA, https://www.fisheries.noaa.gov/inport/item/73204.
Full Citation Examples
LIDAR-derived binary (.las) files containing classified points of all returns. We have seven (7) classifications Unclassified, Ground, Low Noise, Water, Bridge Decks, High Noise and Ignore Ground. These files adhere to USGS-NGP Lidar Base Specification 2020 rev. A Quality Level 2 (QL2) standards, two points or greater per square meter. These files are delivered in tile format (1500x1500m).
This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.
Distribution Information
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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.
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LAS/LAZ - LASer
Bulk download of data files in LAZ format, UTM Zone 11N NAD83(2011), meters coordinates and elevation values in NAVD88(GEOID18) 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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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
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
-117.69123513652° W,
-114.4759683287° E,
35.56613895685° N,
34.24359870548° S
2021-11-07 - 2021-11-16
Item Identification
Title: | 2021 USGS QL2 Lidar: San Bernardino, CA |
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Short Name: | ca2021_san_bernardino_m10163 |
Status: | Completed |
Creation Date: | 2021 |
Publication Date: | 2022-02-23 |
Abstract: |
LIDAR-derived binary (.las) files containing classified points of all returns. We have seven (7) classifications Unclassified, Ground, Low Noise, Water, Bridge Decks, High Noise and Ignore Ground. These files adhere to USGS-NGP Lidar Base Specification 2020 rev. A Quality Level 2 (QL2) standards, two points or greater per square meter. These files are delivered in tile format (1500x1500m). This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. |
Purpose: |
This task is for providing a fall leaf-off 2021 lidar survey to be collected over an Area of Interest (AOI) of approximately 2,702 square miles in southern California including portions of San Bernardino, Kern and Clark Counties. This project will support the USGS Earth MRI (Mapping Resources Initiative), USGS GMEG (Geology, Minerals, Energy, and Geophysics) Science Center, and the 3DEP mission. The project has 3430 tiles (1500m by 1500m) for the QL2 area. |
Supplemental Information: |
USGS Task Order 140G0221F0290-CA_SanBernardino_EarthMRI_2021_D21 The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Lidar Specification 2020 Rev A", "ldrsens" : "Optech Galaxy Prime Airborne Laser Terrain Mappers (ALTM) 5060380", "ldrmaxnr" : "8", "ldrnps" : "0.7", "ldrdens" : "2", "ldranps" : "0.7", "ldradens" : "2", "ldrfltht" : "3400", "ldrfltsp" : "170", "ldrscana" : "40", "ldrscanr" : "72", "ldrpulsr" : "700", "ldrpulsd" : "3.5", "ldrpulsw" : "1.7", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "2475", "ldrswato" : "20", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid18" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0.0", "rawnvan" : "0" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS withheld bit.", "lasolap" : "Swath "overage" points were not identified in these files using the standard LAS overlap bit.", "lasintr" : "12", "lasclass" : {
"clascode" : "1", "clasitem" : "Unclassified" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Ground" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : {
"clascode" : "9", "clasitem" : "Water" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : {
"clascode" : "20", "clasitem" : "Ignore Breakline" } }} |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
ISO 19115 Topic Category |
elevation
|
Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA
|
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: | Unknown |
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: | Merrick-Surdex Joint Venture, LLP, USGS |
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 |
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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: | 2022 |
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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: | -117.69123513652 | |
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E° Bound: | -114.4759683287 | |
N° Bound: | 35.56613895685 | |
S° Bound: | 34.24359870548 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2021-11-07 |
End: | 2021-11-16 |
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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Reference System 2
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: | 2024-08-01 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10163/details/10163 |
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: | 2022 |
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End Date: | Present |
Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_SanBernardino_EarthMRI_2021_D21/CA_SanBern_EMRI_2_2021/LAZ/ |
Distributor: | U.S. Geological Survey (2022 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, UTM Zone 11N NAD83(2011), meters coordinates and elevation values in NAVD88(GEOID18) 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://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_SanBernardino_EarthMRI_2021_D21/USGS_CA_SanBernardino_EarthMRI_2021_D21_Project_Report.pdf |
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Name: | USGS Project Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. |
URL 3
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_SanBernardino_EarthMRI_2021_D21/CA_SanBern_EMRI_2_2021/ |
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Name: | USGS Additional Info |
URL Type: |
Online Resource
|
Description: |
Link to the reports, breaklines, metadata, and spatial metadata. |
URL 4
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_SanBernardino_EarthMRI_2021_D21/CA_SanBern_EMRI_2_2021/reports/lidar_report/140G0221F0290_CA_SanBernardino_EarthMRI_2021_D21_Lidar_WU_ID223531_229143_Mapping_Report.pdf |
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Name: | Lidar Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the lidar report. |
URL 5
URL: | https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanBern_EMRI_2_2021%22 |
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Name: | 3D View (Potree USGS) |
URL Type: |
Online Resource
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Description: |
Link to view the point cloud, using the Entwine Point Tile (EPT) format, in the 3D Potree viewer. |
URL 6
URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanBern_EMRI_2_2021/ept.json |
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Name: | USGS Entwine Point Tile (EPT) |
URL Type: |
Online Resource
|
File Resource Format: | json |
Description: |
Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud. |
Data Quality
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. USGS Determined Vertical Accuracy: Tested NVA RMSEz = 5.4 cm Tested 95th percentile value for VVA is : 11.12 cm For more information see the USGS project report and the lidar report. The links to these reports are provided in the URL section of this metadata record. |
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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. No void areas or missing data exist. The raw point cloud is of good quality and data passes Non-Vegetated Vertical Accuracy specifications. |
Conceptual Consistency: |
Data covers the entire area specified for this project. |
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) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container. |
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Sources
USGS AWS Entwine Point Tile (EPT)
Contact Role Type: | Publisher |
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Contact Type: | Organization |
Contact Name: | USGS |
Citation URL: | https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanBern_EMRI_2_2021/ept.json |
Citation URL Name: | Entwine Point Tile for CA_SanBern_EMRI_2_2021 |
Process Steps
Process Step 1
Description: |
Lidar data was collected using Optech Galaxy Prime sensor. The raw data was verified in MARS software for complete coverage of the project area, and boresighted to align the flightlines. Raw data files were parsed into manageable client-specific tiles. These tiles were then processed through automated filtering that separates the data into different classification groups: unclassified points, ground points, low noise, water, bridge decks, high noise and ignore ground. The data was next taken into MARS to reclassify the erroneous points that may remain in the lidar point cloud after auto filter. Two points per square meter (QL2). |
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Process Date/Time: | 2022-02-23 00:00:00 |
Process Step 2
Description: |
LiDAR swath data was measured to have an average of 0.558 meter nominal pulse spacing and 3.22 pulses per meter. The method used was counting first return points within each swath, then dividing by the area of the extent of the corresponding swath to get density. NPS was mathematically derived from this density number. This was performed on each swath then averaged to generate the two numbers above. This USGS method does not consider swath sidelap in these calculations. |
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Process Date/Time: | 2022-02-23 00:00:00 |
Process Step 3
Description: |
Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 web mercator (EPSG 3857) and and the vertical units of meters (NAVD88 GEOID18) were retained. |
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Process Contact: | U.S. Geological Survey |
Process Step 4
Description: |
The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tile (EPT) that was ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the point cloud as it resides on Amazon Web Services (AWS) under the usgs-lidar-public container. This is the AWS URL being accessed: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanBern_EMRI_2_2021/ept.json |
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Process Date/Time: | 2024-08-01 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Related Items
Item Type | Relationship Type | Title |
---|---|---|
Data Set (DS) | Cross Reference |
2021 USGS QL1 Lidar DEM: San Bernardino, CA |
Data Set (DS) | Cross Reference |
2021 USGS QL1 Lidar: San Bernardino, CA |
Data Set (DS) | Cross Reference |
2021 USGS QL2 Lidar DEM: San Bernardino, CA |
Catalog Details
Catalog Item ID: | 73204 |
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GUID: | gov.noaa.nmfs.inport:73204 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2024-08-01 17:23+0000 |
Metadata Record Last Modified By: | Rebecca Mataosky |
Metadata Record Last Modified: | 2024-08-01 18:37+0000 |
Metadata Record Published: | 2024-08-01 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2024-08-01 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2025-08-01 |