Short Citation
OCM Partners, 2025: 2019 USGS Lidar: Riverside, CA (QL2), https://www.fisheries.noaa.gov/inport/item/60407.
Full Citation Examples

Abstract

The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the entirety of the CA Riverside 2019 B19 QL2 boundary, approximately 1,052 square miles of the AOIs. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off. How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit.

The NOAA Office for Coastal Management (OCM) downloaded the laz files from this USGS site

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_CA_Riverside_B2_2019/ and processed the data to the Data Access Viewer (DAV) and to https. The total number of files downloaded and processed was 2726.

The hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.

Customized Download

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.
Bulk Download

LAS/LAZ - LASer

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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

elevation, TERRAIN ELEVATION

No Child Items for this record.

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

Geographic Area 1

Leaflet © OpenStreetMap

-115.748277° W, -114.731717° E, 33.966154° N, 33.317007° S

Time Frame 1
2019-08-09 - 2019-08-16

Title:	2019 USGS Lidar: Riverside, CA (QL2)
Short Name:	ca2019_riverside_ql2_m9155_metadata
Status:	Completed
Creation Date:	2019
Abstract:	The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the entirety of the CA Riverside 2019 B19 QL2 boundary, approximately 1,052 square miles of the AOIs. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off. How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. The NOAA Office for Coastal Management (OCM) downloaded the laz files from this USGS site ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_CA_Riverside_B2_2019/ and processed the data to the Data Access Viewer (DAV) and to https. The total number of files downloaded and processed was 2726. The hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.
Purpose:	The USGS/BLM contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning, acquisition and development of Light Detection and Ranging (Lidar) data and derivative products. The task order is for a QL2 LiDAR survey to be collected over Riverside county in CA. The deliverable products would be used by the USGS/BLM for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and other environmental purposes.
Supplemental Information:	All Lidar data and associated products were acquired, calibrated, and used in the creation of Lidar derived products by Digital Aerial Solutions, LLC. ANPS: 0.71 Meters Tile Size: 1,000 Meters Spec: National Geospatial Program(NGP) Lidar Base Specification v1.3 LAS File Type: 1.4 type 6 The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program(NGP) Lidar Base Specification v1.3", "ldrsens" : "Leica Terrian Mapper SN# 90524", "ldrmaxnr" : "Unlimited", "ldrnps" : "0.32", "ldrdens" : "9.83", "ldranps" : "0.32", "ldradens" : "9.83", "ldrfltht" : "1875", "ldrfltsp" : "165", "ldrscana" : "35.0", "ldrscanr" : "150.0", "ldrpulsr" : "1550", "ldrpulsd" : "3.3", "ldrpulsw" : "0.44", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.25", "ldrswatw" : "1182.37", "ldrswato" : "30", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid 12B" }, "ldraccur" : { "ldrchacc" : "0.582", "rawnva" : "0.181", "rawnvan" : "67", "clsnva" : "0.181", "clsnvan" : "67", "clsvva" : "0.211", "clsvvan" : "53" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in the 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" : "1", "clasitem" : "Undetermined/Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridges" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : { "clascode" : "20", "clasitem" : "Ignored Ground" }, "lasclass" : { "clascode" : "21", "clasitem" : "Snow" }, "lasclass" : { "clascode" : "22", "clasitem" : "Temporal Exclusion" } }}

Theme Keywords

Thesaurus

Keyword

Global Change Master Directory (GCMD) Science Keywords

EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION

ISO 19115 Topic Category

elevation

UNCONTROLLED

None

erosion

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 > CALIFORNIA

Global Change Master Directory (GCMD) Location Keywords

VERTICAL LOCATION > LAND SURFACE

UNCONTROLLED

None

Continent > North America > United States Of America > California > Riverside County

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

Organization:	Office for Coastal Management
City:	Charleston
State/Province:	SC

Data Set Scope Code:	Data Set
Data Set Type:	Elevation
Maintenance Frequency:	As Needed
Data Presentation Form:	Model (digital)
Entity Attribute Detail Citation:	None
Distribution Liability:	Any conclusions drawn from the analysis of this information are not the responsibility of USGS, NOAA, the Office for Coastal Management or its partners.
Data Set Credit:	Digital Aerial Solutions, LLC

Data Steward

CC ID: 915582

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: 915581

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: 915583

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: 915584

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

Currentness Reference:	Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1144893

W° Bound:	-115.748277	Leaflet © OpenStreetMap
E° Bound:	-114.731717
N° Bound:	33.966154
S° Bound:	33.317007

Extent Group 1 / Time Frame 1

CC ID: 1144892

Time Frame Type:	Range
Start:	2019-08-09
End:	2019-08-16

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 915575

Point Object Present?:	Yes
Point Object Count:	66718442284

Reference Systems

Reference System 1

CC ID: 1144890

Coordinate Reference System

CRS Type:

Geographic 3D

EPSG Code:

EPSG:6319

EPSG Name:

NAD83(2011)

▾ See Full Coordinate Reference System Information

Datum Name:

NAD83 (National Spatial Reference System 2011)

Ellipsoid:

GRS 1980

Semimajor Axis:

6378137.0

Flattening Ratio:

298.257222101

Axis: Geodetic Latitude

Order:	1
Abbreviation:	Lat
Units:	degree
Orientation:	north

Axis: Geodetic Longitude

Order:	2
Abbreviation:	Lon
Units:	degree
Orientation:	east

Axis: Elipsoidal height

Order:	3
Abbreviation:	h
Units:	metre
Orientation:	up

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 1

CC ID: 915588

Start Date:	2020-07-16
End Date:	Present
Download URL:	https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9155/details/9155
Distributor:	NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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.
File Type (Deprecated):	Zip
Compression:	Zip

Distribution 2

CC ID: 915589

Start Date:	2020-07-16
End Date:	Present
Download URL:	https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9155/index.html
Distributor:	NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present)
File Name:	Bulk Download
Description:	Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.
File Type (Deprecated):	LAZ
Distribution Format:	LAS/LAZ - LASer
Compression:	Zip

URL 1

CC ID: 915577

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: 915578

URL:	https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9155/supplemental/ca2019_riverside_ql2_m9155.kmz
Name:	Browse graphic
URL Type:	Browse Graphic
File Resource Format:	KML
Description:	This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 915579

URL:	https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9155/supplemental/CA_Riverside_2019_B19_Project_Report.pdf
Name:	Dataset report
URL Type:	Online Resource
File Resource Format:	PDF
Description:	Link to data set report.

URL 4

CC ID: 916185

URL:	https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9155/breaklines/
Name:	Hydro breaklines
URL Type:	Online Resource
Description:	Link to data set breaklines.

Description:	Inertial Explorer ver: 8.6; Leica HxMap Ver:2.5.1; GeoCue Ver: 2014.1.21.4; Microstation V8i; Terresolid ver: 2015; LP360 ver: 2014.1.51.1; Arcmap ver: 10.4; Global Mapper ver: 16

Horizontal Positional Accuracy:	Horizontal error in lidar derived elevation data is largely a function of positional error as derived from the Global Navigation Satellite System (GNSS), attitude (angular orientation) error (as derived from the INS) and flying altitude; and can be estimated based on these parameters. This data set was produced to meet ASPRS “Positional Accuracy Standards for Digital Geospatial Data” (2014) for a 0.297 Meters RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy =+/- 0.582 Meters at a 95% confidence level Estimated LiDAR Horizontal Error Per Point.
Vertical Positional Accuracy:	Vertical Accuracy of the bare-earth lidar data was assessed and reported in accordance with the ASPRS Positional Accuracy Standards for Digital Geospatial Data; One hundred (120) surveyed points were measured for the purpose of assessing the accuracy of the CA Riverside 2019 B19 QL2 data (67 NVA + 53 VVA). Both data sets, Lidar and Digital Elevation Models (DEMs) have been tested for there individual vertical accuracy levels. The Lidar was tested by using interpolation while the DEMs where tested by extracting the elevation of a pixel containing the checkpoint. All DEM Vertical accuracy results are reported in the DEM Metadata reports while this project wide Metadata file is reporting the vertical accuracy results from the the source Lidar. Required Non Vegetated Vertical Accuracy (NVA): 0.196 Meters. Required Vegetated Vertical Accuracy (VVA):0.300 Meters. Classified LiDAR: Tested to be 0.181 Meters NVA at 95-percent confidence level using RSME(z) x 1.9600 as defined by the National Standards for spatial Data Accuracy (NSSDA). The root mean square error vertical (RMSEz) was computed to be 0.093 Meters. The NVA of the Classified LiDAR point cloud was calculated against TINs derived from the final calibrated and controlled swath data using 67 NVA checkpoints located in Bare Earth land cover class. The VVA of the Classified LiDAR point cloud was calculated against TINs derived from the final calibrated and controlled swath data using 53 VVA checkpoints located in the Brushlands and Low Trees and Tall Weeds and Crops land cover categories. The the Accuracy Z was tested to be 0.211 Meters VVA at 95th percentile using RSME(z) x 1.9600 as defined by the National Standards for spatial Data Accuracy (NSSDA); assessed and reported using American Society of Photogrammetry and Remote Sensing (ASPRS) Guidelines.
Completeness Report:	The RAW LAS data files included 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 Fundamental Vertical Accuracy specifications. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header.
Conceptual Consistency:	Aerial LiDAR data covers the entire 1,052 square mile Area of Interest intended for this project task. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique “NODATA” value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project.

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-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:	Data is backed up to tape and to cloud storage.

Lineage Statement:	Data collected by Digital Aerial Solutions, LLC for the USGS and downloaded by NOAA OCM to process to the Data Access Viewer.

Sources

USGS

CC ID: 1144885

Process Steps

Process Step 1

CC ID: 1144886

Description:

Aerial LiDAR Acquisition: LiDAR acquisition was done using Blythe Airport (KBLH) and Lake Havasu City Airport (KHII) as the base airports. DAS used two dedicated GPS base station located at the respected airports to support the aerial LiDAR acquisition. DAS used Leica’s Terrian Mapper LiDAR Sensor (SN90524) for the acquisition. The project consisted of 229 flightlines and 2 calibration crosslines totaling 4,627.68 nautical miles. The acquisition was completed in 21 lifts on August 10, 2019 and it was completed August 22, 2019.

Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of one hundred twenty (120) check points (67 NVA + 53 VVA). The points were a combination of the following ground cover classification: Open Terrain, Urban Terrain, Bare Earth, High Grass, and Low Trees. All field survey observations were conducted between August 7, 2019 and it was completed August 12, 2019 with Leica GPS GS15 and 1200 equipment.

Process Date/Time:

2019-09-20 00:00:00

Process Step 2

CC ID: 1144887

Description:

LiDAR Data Processing: Inertial Explorer 8.7 software was used to compute inertial solution file (*.sol) for each mission using ground GPS base station. The resulting solution was checked to ensure a minimum accuracy of +/- 0.05m, combined separation, for horizontal and vertical positions. Inertial Explorer methodology integrates Inertial Navigation Solution by processing the GPS data and Inertial Measurement Unit (IMU). The software applies the reference lever arms for the GPS and IMU during the process to determine the trajectory (position and orientation) of the LiDAR sensor during the acquisition mission. Inertial Explorer generated graphical results was reviewed to ensure that the IMU data was healthy. These results are found in Appendix C.

Raw LiDAR sensor ranging data and the final solution sensor trajectory (*.sol), from Inertial Explorer, were processed in Leica’s HxMap software to produce LiDAR point cloud swath for each flight line in LAS version 1.4 file format. Quality control of the swath point cloud was performed to validate proper functioning of the sensor system, full coverage of the project area and point density of the LiDAR data. Swath point clouds were assigned unique file source identification. The data was found to be complete and consistent with the sensor calibration parameters.

Process Date/Time:

2019-09-20 00:00:00

Process Step 3

CC ID: 1144888

Description:

LiDAR Calibration: HxMap is the common workflow platform for Leica airborne sensors. The processing workflow involves; Ingest, Block Creation, LiDAR Matching, Quality Assurance (QA) and Product Generation.

LiDAR is processed in HxMap by generating point clouds from raw sensor data during the Ingest step. Noise filtering, sensor installation calibration and atmospheric condition parameters are also applied during the ingest process. Once all data is processed through ingest, they are assembled into a block for LiDAR Matching. The LiDAR Matching step resolves LiDAR registration errors which remain in the point clouds after sensor and installation calibration parameters are applied in the ingest step. QA tool is run on the Block after LiDAR Matching to verify quality of results. QA results are reviewed to ensure that, 95% of patches less thand 5cm for Vertical Scan Direction and Vertical Line Separation. Ground control points are also included to assess absolute accuracy for the point cloud data. LiDAR products are finally generated in the Product Generation step as LAS swaths (LAS 1.4). Vertical (Z) shift (calculated from QA step) is also applied during the product generation.

Process Date/Time:

2019-09-20 00:00:00

Process Step 4

CC ID: 1144889

Description:

The NOAA Office for Coastal Management (OCM) downloaded the laz files from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/USGS_LPC_CA_Riverside_B2_2019/

These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 2726.

The data were in Albers Equal Area (NAD83 2011), meters, coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground, 22 - Temporal Exclusion. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 17, 18, 20, 22.

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

1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.

2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12B model, to convert from Albers Equal Area (NAD83 2011) coordinates in meters to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Date/Time:

2020-07-16 00:00:00

Process Contact:

Office for Coastal Management (OCM)

Item Type

Relationship Type

Title

Data Set (DS)

Cross Reference

2019 USGS Lidar: Riverside, CA (QL1)

Catalog Item ID:	60407
GUID:	gov.noaa.nmfs.inport:60407
Metadata Record Created By:	Rebecca Mataosky
Metadata Record Created:	2020-07-16 11:52+0000
Metadata Record Last Modified By:	SysAdmin InPortAdmin
Metadata Record Last Modified:	2023-10-17 16:12+0000
Metadata Record Published:	2022-03-16
Owner Org:	OCMP
Metadata Publication Status:	Published Externally
Do Not Publish?:	N
Metadata Last Review Date:	2022-03-16
Metadata Review Frequency:	1 Year
Metadata Next Review Date:	2023-03-16

Summary

Distribution Information

Controlled Theme Keywords

Child Items

Contact Information

Extents

Item Identification

Keywords

Theme Keywords

Spatial Keywords

Instrument Keywords

Platform Keywords

Physical Location

Data Set Information

Support Roles

Data Steward

Distributor

Metadata Contact

Point of Contact

Extents

Extent Group 1

Extent Group 1 / Geographic Area 1

Extent Group 1 / Time Frame 1

Spatial Information

Spatial Representation

Representations Used

Vector Representation 1

Reference Systems

Reference System 1

Coordinate Reference System

Axis: Geodetic Latitude

Axis: Geodetic Longitude

Axis: Elipsoidal height

Access Information

Distribution Information

Distribution 1

Distribution 2

URLs

URL 1

URL 2

URL 3

URL 4

Technical Environment

Data Quality

Data Management

Lineage

Sources

USGS

Process Steps

Process Step 1

Process Step 2

Process Step 3

Process Step 4

Related Items

Catalog Details