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Short Citation:
OCM Partners, 2021: 2020 San Mateo RCD Lidar: Santa Cruz County, CA, https://www.fisheries.noaa.gov/inport/item/63258.

Item Identification

Title: 2020 San Mateo RCD Lidar: Santa Cruz County, CA
Short Name: ca2020_santa_cruz_m9209_metadata
Status: Completed
Publication Date: 2020-09-08
Abstract:

Product: These lidar data are processed Classified LAS 1.4 files, formatted to 1804 individual 2500 ft x 2500 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Geographic Extent: 4 counties in California, covering approximately 370 total square miles.

Dataset Description: The San Mateo RCD-Santa Cruz LiDAR project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 1.3. The data were collected based on a horizontal projection/datum of NAD 1983 2011 State Plane California III FIPS 0403 Ft US, Foot US and vertical datum of NAVD88 Geoid 12b, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 1804 individual 2500 ft x 2500 ft tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 2500 ft x 2500 ft schema. Continuous breaklines were produced in Esri file geodatabase format.

Ground Conditions: LiDAR was collected in spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Quantum Spatial, Inc. utilized a total of 23 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 52 independent accuracy checkpoints, 28 in Bare Earth and Urban landcovers (28 NVA points), 24 in Tall Weeds categories (24 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

The NOAA Office for Coastal Management (OCM) downloaded the:

1. Lidar point data from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_SantaCruzCounty_2020_A20/CA_SantaCruzCounty_2020/LAZ/

2. Breaklines, reports and metadata from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_SantaCruzCounty_2020_A20/CA_SantaCruzCounty_2020/

These files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 1804.

The breakline 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:

To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create intensity images, breaklines and raster DEMs. The purpose of these LiDAR data was to produce high accuracy 3D hydro-flattened digital elevation models (DEMs) with a 2 foot cell size. These raw LiDAR point cloud data were used to create classified LiDAR LAS files, intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

Supplemental Information:

CONTRACTOR: Quantum Spatial, Inc.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v1.3",

"ldrsens" : "Riegl VQ1560i",

"ldrmaxnr" : "unlimited",

"ldrnps" : "0.35",

"ldrdens" : "8.0",

"ldranps" : "0.35",

"ldradens" : "8.16",

"ldrfltht" : "1825",

"ldrfltsp" : "165",

"ldrscana" : "29",

"ldrscanr" : "124",

"ldrpulsr" : "700",

"ldrpulsd" : "3",

"ldrpulsw" : "0.33",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.18",

"ldrswatw" : "2023.0",

"ldrswato" : "60",

"ldrgeoid" : "Geoid 12b",

"ldrcrs" : "NAD 1983 2011 StatePlane California III FIPS 0403 Ft US, Foot US"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0.0766",

"rawnvan" : "28",

"clsnva" : "0.0783",

"clsnvan" : "28",

"clsvva" : "0.2899",

"clsvvan" : "24"

},

"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 identified in these files using the standard LAS

overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-Earth Ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

},

"lasclass" : {

"clascode" : "21",

"clasitem" : "Snow (where identifiable)"

},

"lasclass" : {

"clascode" : "22",

"clasitem" : "Temporal Exclusion (if applicable)"

}

}}

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 > COASTAL PROCESSES > COASTAL ELEVATION
UNCONTROLLED
ISO 19115 Topic Category elevation
None beach
None DEM
None digital elevation model
None Elevation Data
None erosion
None LAS Point Cloud
None laser
None lidar
None LiDAR
None Model
None Remote Sensing
None Topography

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
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > California > Monterey County
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > California > San Benito County
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > California > San Mateo County
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > California > Santa Cruz County
None U.S. Coastline

Instrument Keywords

Thesaurus Keyword
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
UNCONTROLLED
Global Change Master Directory (GCMD) Platform Keywords Aircraft > Aircraft

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 Quantum Spatial, Inc., San Mateo RCD, USGS, NOAA, the Office for Coastal Management or its partners.

Data Set Credit: Quantum Spatial, Inc.

Support Roles

Data Steward

CC ID: 996678
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: 996677
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: 996679
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: 996680
Date Effective From: 2020
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 996683
W° Bound: -122.331534908
E° Bound: -121.635387261
N° Bound: 37.2409701991
S° Bound: 36.8418530658

Extent Group 1 / Time Frame 1

CC ID: 996682
Time Frame Type: Range
Start: 2020-03-22
End: 2020-04-15

Spatial Information

Spatial Resolution

Horizontal Distance: 0.35 Meter

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 996671
Point Object Present?: Yes
Point Object Count: 41804478921

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: 996685
Start Date: 2020-12-02
End Date: Present
Download URL: http://coast.noaa.gov/htdata/lidar4_z/geoid18/data/9209
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: LAZ

Distribution 2

CC ID: 996684
Start Date: 2020-12-02
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9209/details/9209
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: Zip
Compression: Zip

URLs

URL 1

CC ID: 996673
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: 996674
URL: http://coast.noaa.gov/htdata/lidar4_z/geoid18/data/9209/supplemental/ca2020_santa_cruz_m9209.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: 996675
URL: https://coast.noaa.gov/htdata/lidar4_z/geoid18/data/9209/supplemental/SanMateo_SantaCruz_ProjectReportUSGS.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 4

CC ID: 996713
URL: https://coast.noaa.gov/htdata/lidar4_z/geoid18/data/9209/breaklines/
Name: Breaklines
URL Type:
Online Resource
Description:

Link to the breaklines

URL 5

CC ID: 1069823
URL: https://coast.noaa.gov/htdata/lidar4_z/geoid18/data/9209/supplemental/CA_SantaCruzCounty_2020_A20_WP_Report.pdf
Name: USGS Work Package Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS work package report that provides project information, vertical accuracy results, classifications used, sensors used, and work unit information.

Technical Environment

Description:

MicroStation Connect; TerraScan Version 20.011; TerraModeler Version 20.004; GeoCue Version 2017.1.14.1; Esri ArcGIS 10.6; Global Mapper 19/20; RiProcess 1.8.5; Windows 10 Operating System \\point_cloud\tilecls\*.las

Data Quality

Vertical Positional Accuracy:

The specifications require that only non-vegetated vertical accuracy (NVA) be computed for raw LiDAR data swath files. The vertical accuracy was tested with 28 independent survey points located in open terrain. These check points were not used in the calibration or post processing of the LiDAR data. The survey check points were distributed throughout the project area. The 28 independent check points were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified LiDAR surface were measured for the x,y location of each checkpoint. Elevations interpolated from the LiDAR surface were then compared to the elevation values of the surveyed control points. The root mean square error vertical (RMSEz) was computed to be 0.0391 meters.

AccuracyZ has been tested to meet 19.0 cm NVA at 95-percent confidence level using (RMSEz * 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.

USGS Vertical Accuracy Determination

NVA = 7.74 cm at 95% Confidence Level (3.95 cm RMSE)

VVA = 20.78 cm at 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. No void areas or missing data exist. The raw point cloud is of good quality and the data pass Non-Vegetated Vertical Accuracy specifications.

Conceptual Consistency:

Data cover the entire area specified for this project.

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-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

Sources

Ground Control for the San Mateo RCD-Santa Cruz LiDAR Project

CC ID: 996667
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Quantum Spatial, Inc.
Publish Date: 2020-09-08
Extent Type: Discrete
Extent Start Date/Time: 2020-05-11
Source Contribution:

This data source was used (along with airborne GPS/IMU data) to georeference the

LiDAR point cloud data.

Process Steps

Process Step 1

CC ID: 996668
Description:

Raw Data and Boresight Processing: The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used Quantum Spatial, Inc. proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie, and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technicians then analyzed the results and made any necessary additional adjustment until it was acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps matched for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 7 cm RMSEz within individual swaths and less than or equal to 10 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed checkpoints after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met.

Process Date/Time: 2020-01-01 00:00:00

Process Step 2

CC ID: 996669
Description:

LAS Point Classification: The point classification was performed as described below. The bare earth surface was manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface was finalized, it was then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted through numerous conference calls and pilot study areas. All data were manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files for both the All Point Cloud Data and the Bare Earth. Quantum Spatial, Inc. proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.

Process Date/Time: 2020-01-01 00:00:00

Process Step 3

CC ID: 996714
Description:

The NOAA Office for Coastal Management (OCM) downloaded lidar point data from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_SantaCruzCounty_2020_A20/CA_SantaCruzCounty_2020/LAZ/

These files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 1804.

The data were in CA State Plane 3 (NAD83 2011), US feet coordinates and NAVD88 (Geoid12B) elevations in feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground. 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.

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 Geoid 12B model, to convert from CA State Plane 3 (NAD83 2011), US feet coordinates to geographic coordinates, to convert elevation values from feet to meters, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Date/Time: 2020-12-01 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 63258
GUID: gov.noaa.nmfs.inport:63258
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2020-12-02 15:44+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2021-11-30 16:28+0000
Metadata Record Published: 2020-12-02
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Next Review Date: 2021-12-03