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Data Set Info
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Catalog Details

Summary

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Short Citation
OCM Partners, 2024: San Diego CA 2014 Lidar QL 1, https://www.fisheries.noaa.gov/inport/item/53856.
Full Citation Examples

Abstract

Geographic Extent: San Diego, California, covering approximately 20.5 square miles.

Dataset Description: San Diego, California 2014 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 ldiar Specification, Version 1. Lidar data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 118 individual 2500 ft x 2500 ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 2500 ft x 2500 ft schema, and Breaklines in Esri geodatabase format.

Ground Conditions: Lidar was collected in late 2014, 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, Photo Science established a total of 8 QA calibration control points and 20 Land Cover control points that were used to calibrate the lidar to known ground locations established throughout the San Diego, California project area.

Distribution Information

  • 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.

  • 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.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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

Controlled Theme Keywords

COASTAL ELEVATION, 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

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-117.13999992267° W, -117.03407546829° E, 32.66416160375° N, 32.52651844575° S

Time Frame 1
2014-10-27 - 2015-02-17

Item Identification

Title: San Diego CA 2014 Lidar QL 1
Short Name: 2014 San_Diego QL1 m8610
Status: Completed
Publication Date: 2015-04-15
Abstract:

Geographic Extent: San Diego, California, covering approximately 20.5 square miles.

Dataset Description: San Diego, California 2014 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 ldiar Specification, Version 1. Lidar data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 118 individual 2500 ft x 2500 ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 2500 ft x 2500 ft schema, and Breaklines in Esri geodatabase format.

Ground Conditions: Lidar was collected in late 2014, 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, Photo Science established a total of 8 QA calibration control points and 20 Land Cover control points that were used to calibrate the lidar to known ground locations established throughout the San Diego, California project area.

Purpose:

Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM.

The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 2 foot cell size.

These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs as necessary.

Supplemental Information:

USGS Contract No. G10PC00026

CONTRACTOR: Photo Science, Inc.

Ground Control Points were acquired and calibrated by Photo Science, A Quantum Spatial Company

All Lidar data acquisition, calibration, and follow-on processing were completed by Aerographics.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Lidar Specification v1.0",

"ldrsens" : "Optech Orion H300",

"ldrmaxnr" : "4",

"ldrnps" : "0.35",

"ldrdens" : "8.00",

"ldrfltht" : "617",

"ldrfltsp" : "100",

"ldrscana" : "24",

"ldrscanr" : "72.8",

"ldrpulsr" : "150",

"ldrpulsd" : "4",

"ldrpulsw" : "0.41",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.22",

"ldrswatw" : "252",

"ldrswato" : "26",

"ldrcrs" : "NAD_1983_2011_StatePlane_California_VI_FIPS_0406_Feet",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid12A"

},

"ldraccur" : {

"ldrchacc" : "-9999",

"rawfva" : "0.370",

"clsfva" : "0.375",

"clscva" : "0.200"

},

"lasinfo" : {

"lasver" : "1.2",

"lasprf" : "1",

"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files by adding 128 to the standard classification values.",

"lasintr" : "8",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "10",

"clasitem" : "Ignored Ground"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "21",

"clasitem" : "Overlap Default (Unclassified)"

},

"lasclass" : {

"clascode" : "22",

"clasitem" : "Overlap Ground"

},

"lasclass" : {

"clascode" : "25",

"clasitem" : "Overlap Water"

}

}}

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
UNCONTROLLED
None beach
None erosion
None Hydrology

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
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: Lidar point cloud
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: Photo Science, A Quantum Spatial Company flew the lidar and processed the data., Photo Science, A Quantum Spatial Company. USGS contracted for the data collection.

Support Roles

Data Steward

CC ID: 780534
Date Effective From: 2018
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: 780535
Date Effective From: 2018
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: 780536
Date Effective From: 2018
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: 780537
Date Effective From: 2018
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: 1141731
W° Bound: -117.13999992267
E° Bound: -117.03407546829
N° Bound: 32.66416160375
S° Bound: 32.52651844575

Extent Group 1 / Time Frame 1

CC ID: 1141730
Time Frame Type: Range
Start: 2014-10-27
End: 2015-02-17

Spatial Information

Spatial Resolution

Horizontal Distance: 0.35 Meter

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for 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: 780541
Start Date: 2018
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8610
Distributor:
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.

Compression: Zip

Distribution 2

CC ID: 780542
Start Date: 2018
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8610/index.html
Distributor:
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.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 780529
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
File Resource Format: HTML
Description:

Information on the NOAA Office for Coastal Management (OCM)

URL 2

CC ID: 780530
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 3

CC ID: 780531
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8610/supplemental/2014_sandiego_q1_m8610_extent.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 780532
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8610/supplemental/San_Diego_QL1_LiDAR_FOCUS_Report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 5

CC ID: 780668
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8611/supplemental/breaklines.zip
Name: Breaklines
URL Type:
Online Resource
File Resource Format: .zip
Description:

Shapefile of breaklines for the data

Technical Environment

Description:

MicroStation Version 8; TerraScan Version 15; TerraModeler Version 15; GeoCue Version 2014.1.21.1; ESRI ArcGIS 10.2; Global Mapper 15; ALS Post Processor 2.75 Build #25; Windows 7 Operating System \\psihq_nx3200\Projects\24982_San_Diego_133UA\ 266 GB and \\Matrix\LIDAR\24982_San_Diego_LiDAR 2.31 TB

Data Quality

Vertical Positional Accuracy:

The specifications require that only Fundamental Vertical Accuracy (FVA) be computed for raw lidar point cloud swath files.

The vertical accuracy value is the AccuracyZ at 95 percent Confidence Interval in feet. The FVA was tested using 20 independent survey check points located in open terrain. The survey checkpoints were distributed throughout the project area. The 20 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 check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. AccuracyZ has been tested to meet 18.13 cm Fundamental Vertical Accuracy at 95 Percent confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.

Qualitative value:0.370, Test that produced the value:

The FVA was tested using 20 independent survey check points located in open terrain. The survey checkpoints were distributed throughout the project area. The 20 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 check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control. The RMSE was computed to be 0.189 feet. AccuracyZ has been tested to meet 18.13 cm Fundamental Vertical Accuracy at 95 Percent confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines.

Completeness Report:

Datasets contain complete coverage of tiles.

No points have been removed or excluded.

A visual qualitative assessment was performed to ensure data completeness.

There are no void areas or missing data. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.

Conceptual Consistency:

Classified LAS files were tested by Photo Science for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas.

Lineage

Sources

Control Survey Report: San Diego, CA. Ortho and Lidar Task Order

CC ID: 1141722
Publish Date: 2015-04-15
Extent Type: Discrete
Extent Start Date/Time: 2015
Source Contribution:

This data source was used (along with the airborne GPS/IMU Data) to aid in the georeferencing of the lidar point cloud data.

Lidar RAW Data for San Diego 2014

CC ID: 1141723
Publish Date: 2015-01-01
Extent Type: Range
Extent Start Date/Time: 2014-10-27
Extent End Date/Time: 2015-02-17
Source Contribution:

This data source was used to populate the lidar point cloud data.

Process Steps

Process Step 1

CC ID: 1141724
Description:

Lidar Pre-Processing: Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This was repeated iteratively until residual errors between overlapping swaths, across all project lifts, was reduced to acceptable levels. Data were then block adjusted to match surveyed calibration control. Raw data FVA were checked using independently surveyed checkpoints. Swath overage points were identified and tagged within each swath file. The results of the final calibration, FVA and horizontal accuracy assessments, and the "raw" swaths were forwarded to the client to obtain a Notice To Proceed on classification and derivative product generation.

Process Date/Time: 2015-01-01 00:00:00

Process Step 2

CC ID: 1141725
Description:

Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in proprietary software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area.

All classification tags are stored in the original swath files.

After completion of classification and final QC approval, the FVA, SVAs, and CVA for the project are calculated. Sample areas for each land cover type present in the project area were extracted and forwarded to the client, along with the results of the accuracy tests. Upon acceptance, the complete classified lidar swath files were delivered to the client.

Process Date/Time: 2015-01-01 00:00:00

Process Step 3

CC ID: 1141726
Description:

Classified LAS Processing: The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is 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 flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 3 feet was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). 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 by USGS. The overlap data was classified to Class 21 (Overlap Default), Class 22 (Overlap Ground), and Class 25 (Overlap Water). 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 by USGS through numerous conference calls and pilot study areas.

All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper us 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. Photo Science 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: 2015-01-01 00:00:00

Process Step 4

CC ID: 1141727
Description:

Hydro Flattening Breakline Processing:

Class 2 LiDAR was used to create a bare earth surface model. The surface model was then used to heads-up digitize 2D breaklines of inland streams and rivers with a 100 foot nominal width and Inland Ponds and Lakes of 2 acres or greater surface area.

Elevation values were assigned to all Inland Ponds and Lakes, Inland Pond and Lake Islands, Inland Stream and River Islands, using TerraModeler functionality.

Elevation values were assigned to all Inland streams and rivers using Photo Science proprietary software.

All ground (ASPRS Class 2) LiDAR data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 3 feet was also used around each hydro-flattened feature. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10).

The breakline files were then translated to ESRI File-Geodatabase format using ESRI conversion tools.

Process Date/Time: 2015-01-01 00:00:00

Process Step 5

CC ID: 1141728
Description:

Data were downloaded from USGS via ftp in LAZ format with state plane projection (FIPS 0406, NAD83(2011)) and vertical feet NAVD88. For ingestion into the Digital Coast Data Access Viewer, the data were reprojected to geographic coordinates. The vertical data were converted to meters and reduced to ellipsoid heights by removing the geoid12a model.

Process Date/Time: 2018-09-20 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Series San Diego CA 2014 Lidar QL2

Higher density data for part of the area covered by this data set.

Catalog Details

Catalog Item ID: 53856
GUID: gov.noaa.nmfs.inport:53856
Metadata Record Created By: Kirk Waters
Metadata Record Created: 2018-09-20 08:26+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