Slide Menu
Search Help Show/Hide Menu
Short Citation:
OCM Partners, 2024: 2021 CA DWR Lidar: San Joaquin Valley, CA, https://www.fisheries.noaa.gov/inport/item/71978.

Item Identification

Title: 2021 CA DWR Lidar: San Joaquin Valley, CA
Short Name: ca2021_san_joaquin_m10037
Status: Completed
Creation Date: 2021
Publication Date: 2022-10-19
Abstract:

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

This large project was divided into 9 USGS work units. They are:

CA_SanJoaquin_1 (USGS Work Unit 300024), 2870 square miles, horizontal projection/datum of NAD83 (2011) CA State Plane Zone 3, US Feet

CA_SanJoaquin_2 (USGS Work Unit 217608), 1889 square miles, horizontal projection/datum of NAD83 (2011) CA State Plane Zone 3, US Feet

CA_SanJoaquin_3 (USGS Work Unit 300025), 1898 square miles, horizontal projection/datum of NAD83 (2011) CA State Plane Zone 4, US Feet

CA_SanJoaquin_4 (USGS Work Unit 300026), 2133 square miles, horizontal projection/datum of NAD83 (2011) CA State Plane Zone 4, US Feet

CA_SanJoaquin_5 (USGS Work Unit 300027), 1570 square miles, horizontal projection/datum of NAD83 (2011) CA State Plane Zone 4, US Feet

CA_SanJoaquin_6 (USGS Work Unit 300028), 1455 square miles, horizontal projection/datum of NAD83 (2011) CA State Plane Zone 5, US Feet

CA_SanJoaquin_7 (USGS Work Unit 300029), 1660 square miles, horizontal projection/datum of NAD83 (2011) CA State Plane Zone 5, US Feet

CA_SanJoaquin_8_Reflight (USGS Work Unit 300177), 0.22 square miles, horizontal projection/datum of NAD83 (2011) CA State Plane Zone 3, US Feet

CA_SanJoaquin_9_Reflight (USGS Work Unit 300242), 0.67 square miles, horizontal projection/datum of NAD83 (2011) CA State Plane Zone 3, US Feet

Dataset Description: The San_Joaquin 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, 2020 rev. A. The data were developed based on a horizontal projection/datum of NAD 1983 2011 State Plane California Zones 3 (FIPS 0403), 4 (FIPS 0404, 5 (FIPS 0405) Ft US, Foot US and vertical datum of NAVD88 Geoid 18, Foot US. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 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 winter and spring 2021, while no snow was on the ground and rivers were at or below normal levels.

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:

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 1 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:

Cooperative Agreement Number: G21AC10232-00, Task Order No. 3.0; CONTRACTOR: NV5 Geospatial

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Specification v2.1",

"ldrsens" : "Optech Galaxy Prime",

"ldrmaxnr" : "8",

"ldrnps" : "0.35",

"ldrdens" : "8.0",

"ldranps" : "0.3",

"ldradens" : "11.11",

"ldrfltht" : "1600",

"ldrfltsp" : "125",

"ldrscana" : "20",

"ldrscanr" : "100",

"ldrpulsr" : "1000",

"ldrpulsd" : "3",

"ldrpulsw" : "0.4",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "1165.0",

"ldrswato" : "30",

"ldrgeoid" : "Geoid 18",

"ldrcrs" : "NAD 1983 2011 StatePlane California V FIPS 0405 Ft US, Foot US"

},

"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" : "Any overage point deemed geometrically reliable will be used within the normal classification schema. Overage points are not specifically flagged with any special bit value.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-Earth Ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "8",

"clasitem" : "Model Key Points"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored Ground"

}

}}

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
ISO 19115 Topic Category
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 > 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
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.

Data Set Credit: NV5 Geospatial, California Dept. of Water Resources, USGS

Support Roles

Data Steward

CC ID: 1321747
Date Effective From: 2024
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 1321746
Date Effective From: 2024
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 1321767
Date Effective From: 2022
Date Effective To:
Contact (Organization): U.S. Geological Survey
Address: 12201 Sunrise Valley Drive
Reston, VA 20191
USA
URL: USGS Home

Metadata Contact

CC ID: 1321748
Date Effective From: 2024
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 1321749
Date Effective From: 2024
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1322351
W° Bound: -121.67
E° Bound: -120.58
N° Bound: 38.08
S° Bound: 37.38
Description

CA_SanJoaquin_1

Extent Group 1 / Time Frame 1

CC ID: 1322365
Time Frame Type: Range
Start: 2021-04-13
End: 2021-04-30
Description:

Dates of collection for CA_SanJoaquin_1

Extent Group 2

Extent Group 2 / Geographic Area 1

CC ID: 1322380
W° Bound: -121.18
E° Bound: -119.67
N° Bound: 37.41
S° Bound: 36.76
Description

CA_SanJoaquin_2

Extent Group 2 / Time Frame 1

CC ID: 1322398
Time Frame Type: Range
Start: 2021-03-27
End: 2021-04-19
Description:

Dates of collection for CA_SanJoaquin_2

Extent Group 3

Extent Group 3 / Geographic Area 1

CC ID: 1322382
W° Bound: -120.91
E° Bound: -119.17
N° Bound: 37.04
S° Bound: 36.53
Description

CA_SanJoaquin_3

Extent Group 3 / Time Frame 1

CC ID: 1322397
Time Frame Type: Range
Start: 2021-03-22
End: 2021-04-11
Description:

Dates of collection for CA_SanJoaquin_3

Extent Group 4

Extent Group 4 / Geographic Area 1

CC ID: 1322410
W° Bound: -120.53
E° Bound: -118.92
N° Bound: 36.52
S° Bound: 36.11
Description

CA_SanJoaquin_4

Extent Group 4 / Time Frame 1

CC ID: 1322411
Time Frame Type: Range
Start: 2021-03-02
End: 2021-04-04
Description:

Dates of collection for CA_SanJoaquin_4

Extent Group 5

Extent Group 5 / Geographic Area 1

CC ID: 1322413
W° Bound: -120.36
E° Bound: -118.91
N° Bound: 36.11
S° Bound: 35.78
Description

CA_SanJoaquin_5

Extent Group 5 / Time Frame 1

CC ID: 1322414
Time Frame Type: Range
Start: 2021-03-22
End: 2021-03-31
Description:

Dates of collection for CA_SanJoaquin_5

Extent Group 6

Extent Group 6 / Geographic Area 1

CC ID: 1322416
W° Bound: -120.16
E° Bound: -118.91
N° Bound: 35.79
S° Bound: 35.44
Description

CA_SanJoaquin_6

Extent Group 6 / Time Frame 1

CC ID: 1322417
Time Frame Type: Range
Start: 2021-02-21
End: 2021-04-30
Description:

Dates of collection for CA_SanJoaquin_6

Extent Group 7

Extent Group 7 / Geographic Area 1

CC ID: 1322419
W° Bound: -119.8
E° Bound: -118.57
N° Bound: 35.44
S° Bound: 34.91
Description

CA_SanJoaquin_7

Extent Group 7 / Time Frame 1

CC ID: 1322420
Time Frame Type: Range
Start: 2021-02-21
End: 2021-04-30
Description:

Dates of collection for CA_SanJoaquin_7

Extent Group 8

Extent Group 8 / Geographic Area 1

CC ID: 1322422
W° Bound: -120.77
E° Bound: -120.76
N° Bound: 37.137
S° Bound: 37.13
Description

CA_SanJoaquin_8_Reflight (tile s64825w18700)

Extent Group 8 / Time Frame 1

CC ID: 1322423
Time Frame Type: Discrete
Start: 2021-04-13
Description:

Date of collection for CA_SanJoaquin_8_Reflight (tile s64825w18700)

Extent Group 9

Extent Group 9 / Geographic Area 1

CC ID: 1322425
W° Bound: -119.15
E° Bound: -119.122
N° Bound: 36.46
S° Bound: 36.35
Description

CA_SanJoaquin_9_Reflight (tiles s65150w20125 and s65225w20500)

Extent Group 9 / Time Frame 1

CC ID: 1322426
Time Frame Type: Range
Start: 2021-03-13
End: 2021-03-17
Description:

Dates of collection for CA_SanJoaquin_9_Reflight (tiles s65150w20125 and s65225w20500)

Spatial Information

Spatial Representation

Representations Used

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

Reference Systems

Reference System 1

CC ID: 1321769

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:3857
EPSG Name: WGS 84 / Pseudo-Mercator
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1321768

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk and custom downloads.

Data Access Constraints:

None

Data Use Constraints:

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

Distribution Information

Distribution 1

CC ID: 1321753
Start Date: 2024-01-30
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=10037/details/10037
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2024 - Present)
File Name: Customized Download
Description:

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

Distribution Format: Not Applicable
Compression: Zip

Distribution 2

CC ID: 1321754
Start Date: 2022
End Date: Present
Download URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_SanJoaquin_2021_A21/
Distributor: U.S. Geological Survey (2022 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, CA State Plane Zones 3, 4 and 5 NAD83 (2011), US survey feet coordinates and orthometric heights in feet. This url links to the USGS copy of the files, from which the Entwine Point Tile files originated. These have not been reviewed by OCM and the link is provided here for convenience.

Distribution Format: LAS/LAZ - LASer
Compression: Uncompressed

URLs

URL 1

CC ID: 1321744
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: 1321782
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_SanJoaquin_2021_A21/
Name: USGS Additional Info
URL Type:
Online Resource
Description:

Link to the reports, breaklines, metadata, and spatial metadata.

URL 3

CC ID: 1321783
URL: https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_SanJoaquin_2021_A21/USGS_CA_SanJoaquin_2021_A21_Project_Report.pdf
Name: USGS Project Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used.

URL 4

CC ID: 1321784
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_1_2021/ept.json
Name: USGS Entwine Point Tile (EPT) - CA_SanJoaquin_1
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.

URL 5

CC ID: 1321785
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_2_2021/ept.json
Name: USGS Entwine Point Tile (EPT) - CA_SanJoaquin_2
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.

URL 6

CC ID: 1321786
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_3_2021/ept.json
Name: USGS Entwine Point Tile (EPT) - CA_SanJoaquin_3
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.

URL 7

CC ID: 1321787
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_4_2021/ept.json
Name: USGS Entwine Point Tile (EPT) - CA_SanJoaquin_4
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.

URL 8

CC ID: 1321788
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_5_2021/ept.json
Name: USGS Entwine Point Tile (EPT) - CA_SanJoaquin_5
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.

URL 9

CC ID: 1321789
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_6_2021/ept.json
Name: USGS Entwine Point Tile (EPT) - CA_SanJoaquin_6
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.

URL 10

CC ID: 1321790
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_7_2021/ept.json
Name: USGS Entwine Point Tile (EPT) - CA_SanJoaquin_7
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.

URL 11

CC ID: 1321791
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_8_Reflight_2021/ept.json
Name: USGS Entwine Point Tile (EPT) - CA_SanJoaquin_8_Reflight
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.

URL 12

CC ID: 1321792
URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_9_Reflight_2021/ept.json
Name: USGS Entwine Point Tile (EPT) - CA_SanJoaquin_9_Reflight
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.

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; Optech LMS 4.4; Windows 10 Operating System

Data Quality

Horizontal Positional Accuracy:

Lidar horizontal accuracy is a function of Global Navigation Satellite System (GNSS) derived positional error, flying altitude, and 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% of the time.

Based on a flying altitude of 1,600 meters, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.015 meters, these blocks were compiled to meet a 0.17 meter horizontal accuracy at the 95% confidence level or a 0.101 m RMSEr.

CA_San_Joaquin_1

CA_San_Joaquin_2

CA_San_Joaquin_6

CA_San_Joaquin_8_Reflight

Based on a flying altitude of 2000 meters, an IMU error of 0.002 decimal degrees, and a GNSS positional error of 0.015 meters, these blocks were compiled to meet a 0.22 meter horizontal accuracy at the 95% confidence level or a 0.13 m RMSEr .

CA_San_Joaquin_3

CA_San_Joaquin_4

CA_San_Joaquin_5

CA_San_Joaquin_7

CA_San_Joaquin_9_Reflight

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:

NVA = 3.97 cm RMSEz, NVA Accuracyz at 95th confidence interval = 7.78 cm

VVA = 23.70 cm at the 95th percentile

For more information see the USGS work package report and the project report. The links to these reports are provided in the URL section of this metadata record.

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-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.

Sources

USGS AWS Entwine Point Tile (EPT) - CA_SanJoaquin_1

CC ID: 1321773
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_1_2021/ept.json
Citation URL Name: Entwine Point Tile for CA_SanJoaquin_1

USGS AWS Entwine Point Tile (EPT) - CA_SanJoaquin_2

CC ID: 1321774
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_2_2021/ept.json
Citation URL Name: Entwine Point Tile for CA_SanJoaquin_2

USGS AWS Entwine Point Tile (EPT) - CA_SanJoaquin_3

CC ID: 1321775
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_3_2021/ept.json
Citation URL Name: Entwine Point Tile for CA_SanJoaquin_3

USGS AWS Entwine Point Tile (EPT) - CA_SanJoaquin_4

CC ID: 1321776
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_4_2021/ept.json
Citation URL Name: Entwine Point Tile for CA_SanJoaquin_4

USGS AWS Entwine Point Tile (EPT) - CA_SanJoaquin_5

CC ID: 1321777
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_5_2021/ept.json
Citation URL Name: Entwine Point Tile for CA_SanJoaquin_5

USGS AWS Entwine Point Tile (EPT) - CA_SanJoaquin_6

CC ID: 1321778
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_6_2021/ept.json
Citation URL Name: Entwine Point Tile for CA_SanJoaquin_6

USGS AWS Entwine Point Tile (EPT) - CA_SanJoaquin_7

CC ID: 1321779
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_7_2021/ept.json
Citation URL Name: Entwine Point Tile for CA_SanJoaquin_7

USGS AWS Entwine Point Tile (EPT) - CA_SanJoaquin_8_Reflight

CC ID: 1321780
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_8_Reflight_2021/ept.json
Citation URL Name: Entwine Point Tile for CA_SanJoaquin_8_Reflight

USGS AWS Entwine Point Tile (EPT) - CA_SanJoaquin_9_Reflight

CC ID: 1321781
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: USGS
Citation URL: https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_9_Reflight_2021/ept.json
Citation URL Name: Entwine Point Tile for CA_SanJoaquin_9_Reflight

Process Steps

Process Step 1

CC ID: 1321738
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 NV5 Geospatial 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: 2022-01-01 00:00:00

Process Step 2

CC ID: 1321739
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 proprietary tools. A buffer of 0.5 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. Any noise that was identified either through manual review or automated routines was classified to the appropriate class ( ASPRS Class 7 and/or ASPRS Class 18) followed by flagging with the withheld bit. 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 Point Cloud Data and the Bare Earth. NV5 Geospatial 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: 2022-01-01 00:00:00

Process Step 3

CC ID: 1321770
Description:

CA_SanJoaquin_8_Reflight (Work Unit 300177, Tile s64825w18700))

Work unit 300177 was created specifically to deal with a data void that was discovered during data processing. The data void impacted a total of 1 tile. The void was filled using an auto-correlated point cloud. NV5G utilized autocorrelated point cloud data. This point cloud data was generated from the from San Joaquin 2021 Imagery acquired by Towill, Inc. using INPHO Match-T DSM version 13 software. The resulting point cloud measured roughly 26 pts/sqm. NV5G utilized proprietary software to merge the auto-correlated point cloud with the lidar point cloud and create as seamless a dataset as possible. All points used from the auto-correlated point cloud have had the synthetic bit applied for easy identification within the LAS file.

CA_SanJoaquin_9_Reflight (Work Unit 300242, Tiles s65150w20125 and s65225w20500)

Work unit 300242 was created specifically to deal with 2 data voids that were discovered during data processing. These data voids impacted a total of 2 tiles. The voids were filled using an auto-correlated point cloud. NV5G utilized autocorrelated point cloud data. This point cloud data was generated from the from San Joaquin 2021 Imagery acquired by Towill, Inc. using INPHO Match-T DSM version 13 software. The resulting point cloud measured roughly 26 pts/sqm. NV5G utilized proprietary software to merge the auto-correlated point cloud with the lidar point cloud and create as seamless a dataset as possible. All points used from the auto-correlated point cloud have had the synthetic bit applied for easy identification within the LAS file.

Process Step 4

CC ID: 1321771
Description:

Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were reprojected horizontally to WGS84 web mercator (EPSG 3857) and the vertical units were converted to meters (NAVD88 GEOID18).

Process Contact: U.S. Geological Survey

Process Step 5

CC ID: 1321772
Description:

The NOAA Office for Coastal Management (OCM) created references to the Entwine Point Tiles (EPT) that were 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.

These are the AWS URLs being accessed:

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_1_2021/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_2_2021/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_3_2021/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_4_2021/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_5_2021/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_6_2021/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_7_2021/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_8_Reflight_2021/ept.json

https://s3-us-west-2.amazonaws.com/usgs-lidar-public/CA_SanJoaquin_9_Reflight_2021/ept.json

Process Date/Time: 2024-01-26 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 71978
GUID: gov.noaa.nmfs.inport:71978
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2024-01-30 14:53+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2024-06-19 15:40+0000
Metadata Record Published: 2024-02-01
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2024-02-01
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2025-02-01