San Diego, CA 2015 QL2 Lidar
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:54014 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2024: San Diego, CA 2015 QL2 Lidar, https://www.fisheries.noaa.gov/inport/item/54014.
Full Citation Examples
Geographic Extent: San Diego, California, covering approximately 1,617 square miles.
Dataset Description: San Diego, California 2015 QL2 LiDAR project called for the planning and acquisition of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was initially developed based on a horizontal projection/datum of NAD83 (2011) State Plane California VI, US survey feet and vertical datum of NAVD1988 (GEOID12B), US survey feet, but has had projection and vertical datum changed. Lidar data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 2,045 individual 2,500-foot x 2,500-foot tiles. Data was been
Ground Conditions: Lidar was collected in late 2015, 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, Quantum Spatial established 39 calibration control points in order to calibrate the lidar to known ground locations established throughout the project area. The accuracy of the data was checked with 119 QC points.
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.
None
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.
Controlled Theme Keywords
elevation, TERRAIN ELEVATION
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-117.28707616376° W,
-116.27164354548° E,
33.44098384318° N,
32.54863277942° S
2015-10-30 - 2015-11-23
Item Identification
Title: | San Diego, CA 2015 QL2 Lidar |
---|---|
Short Name: | 2015 San Diego m8615 |
Status: | Completed |
Publication Date: | 2016 |
Abstract: |
Geographic Extent: San Diego, California, covering approximately 1,617 square miles. Dataset Description: San Diego, California 2015 QL2 LiDAR project called for the planning and acquisition of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1.2. The data was initially developed based on a horizontal projection/datum of NAD83 (2011) State Plane California VI, US survey feet and vertical datum of NAVD1988 (GEOID12B), US survey feet, but has had projection and vertical datum changed. Lidar data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to 2,045 individual 2,500-foot x 2,500-foot tiles. Data was been Ground Conditions: Lidar was collected in late 2015, 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, Quantum Spatial established 39 calibration control points in order to calibrate the lidar to known ground locations established throughout the project area. The accuracy of the data was checked with 119 QC points. |
Purpose: |
Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Breaklines and Raster DEMs. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Models (DEM) with a 2.5-foot cell size. These raw lidar point cloud data were used to create classified lidar LAS files, 3D breaklines, and hydro-flattened DEMs as necessary. |
Supplemental Information: |
FEMA Task Order Number: HSFE09-15-J-0001 STARR II Project Number: 400000298 CONTRACTOR: Quantum Spatial, Inc. Quantum Spatial worked with CompassData to acquire and calibrate ground control points. All Lidar data acquisition, calibration, and follow-on processing were completed by Quantum Spatial.
The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v1.2", "ldrsens" : "Leica ALS 80", "ldrmaxnr" : "4", "ldrnps" : "0.68", "ldradens" : "2.16", "ldranps" : "0.68", "ldrdens" : "2.16", "ldrfltht" : "1700", "ldrfltsp" : "115", "ldrscana" : "40", "ldrscanr" : "41.8", "ldrpulsr" : "75", "ldrpulsd" : "4", "ldrpulsw" : "0.41", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.22", "ldrswatw" : "523", "ldrswato" : "31.90", "ldrgeoid" : "g2012bu0.bin" }, "ldrinfo_Campo" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v1.2", "ldrsens" : "Leica ALS 80", "ldrmaxnr" : "4", "ldrnps" : "0.68", "ldradens" : "2.16", "ldranps" : "0.68", "ldrdens" : "2.16", "ldrfltht" : "1700", "ldrfltsp" : "115", "ldrscana" : "40", "ldrscanr" : "41.8", "ldrpulsr" : "158", "ldrpulsd" : "4", "ldrpulsw" : "0.43", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.22", "ldrswatw" : "1237.50", "ldrswato" : "29.71", "ldrgeoid" : "g2012bu0.bin" }, "ldrinfo_Descanso" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v1.2", "ldrsens" : "Leica ALS 80", "ldrmaxnr" : "4", "ldrnps" : "0.68", "ldradens" : "2.16", "ldranps" : "0.68", "ldrdens" : "2.16", "ldrfltht" : "1700", "ldrfltsp" : "115", "ldrscana" : "40", "ldrscanr" : "41.8", "ldrpulsr" : "158", "ldrpulsd" : "4", "ldrpulsw" : "0.43", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.22", "ldrswatw" : "1237.50", "ldrswato" : "35.89", "ldrgeoid" : "g2012bu0.bin" }, "ldrinfo_Fallbrook" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v1.2", "ldrsens" : "Leica ALS 80", "ldrmaxnr" : "4", "ldrnps" : "0.56", "ldradens" : "3.17", "ldranps" : "0.56", "ldrdens" : "3.17", "ldrfltht" : "1800", "ldrfltsp" : "115", "ldrscana" : "40", "ldrscanr" : "52.0", "ldrpulsr" : "299", "ldrpulsd" : "4", "ldrpulsw" : "0.46", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.22", "ldrswatw" : "1310.29", "ldrswato" : "23.85", "ldrgeoid" : "g2012bu0.bin" }, "ldrinfo_Palomar" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v1.2", "ldrsens" : "Leica ALS 80", "ldrmaxnr" : "4", "ldrnps" : "0.68", "ldradens" : "2.16", "ldranps" : "0.68", "ldrdens" : "2.16", "ldrfltht" : "1700", "ldrfltsp" : "115", "ldrscana" : "40", "ldrscanr" : "41.8", "ldrpulsr" : "158", "ldrpulsd" : "4", "ldrpulsw" : "0.43", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.22", "ldrswatw" : "1237.50", "ldrswato" : "53.92", "ldrgeoid" : "g2012bu0.bin" }, "ldrinfo_Pauma" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v1.2", "ldrsens" : "Leica ALS 80", "ldrmaxnr" : "4", "ldrnps" : "0.68", "ldradens" : "2.16", "ldranps" : "0.68", "ldrdens" : "2.16", "ldrfltht" : "1700", "ldrfltsp" : "115", "ldrscana" : "40", "ldrscanr" : "41.8", "ldrpulsr" : "158", "ldrpulsd" : "4", "ldrpulsw" : "0.43", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.22", "ldrswatw" : "1237.50", "ldrswato" : "29.68", "ldrgeoid" : "g2012bu0.bin" }, "ldrinfo_Warner" : {
"ldrspec" : "USGS-NGP Base Lidar Specification v1.2", "ldrsens" : "Leica ALS 80", "ldrmaxnr" : "4", "ldrnps" : "0.69", "ldrdens" : "2.00", "ldrfltht" : "975", "ldrfltsp" : "115", "ldrscana" : "30", "ldrscanr" : "42.5", "ldrpulsr" : "158", "ldrpulsd" : "4", "ldrpulsw" : "0.43", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.25", "ldrswatw" : "1237.50", "ldrswato" : "39.62", "ldrgeoid" : "g2012bu0.bin" }, "ldraccur" : {
"ldrchacc" : "0.196", "rawnva" : "0.045", "rawnvan" : "67", "clsnva" : "0.092", "clsnvan" : "65", "clsvva" : "0.184", "clsvvan" : "52" }, "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 by adding 128 to the standard classification values.", "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" : "10", "clasitem" : "Ignored Ground" }, "lasclass" : {
"clascode" : "13", "clasitem" : "Hydro Enforced Ground Points" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" } }} |
Keywords
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 | 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 |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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Data Set Type: | Elevation |
Maintenance Frequency: | 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: | Quantum Spatial Company flew the LiDAR and processed the data. FEMA funded the collection. |
Support Roles
Data Steward
Date Effective From: | 2018 |
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Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Distributor
Date Effective From: | 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
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
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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -117.28707616376 | |
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E° Bound: | -116.27164354548 | |
N° Bound: | 33.44098384318 | |
S° Bound: | 32.54863277942 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2015-10-30 |
End: | 2015-11-23 |
Spatial Information
Spatial Representation
Vector Representation 1
Point Object Present?: | Yes |
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Point Object Count: | 30219420960 |
Access Information
Security Class: | Unclassified |
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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
Start Date: | 2018 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8615 |
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
Start Date: | 2018 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8615/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
URL: | https://coast.noaa.gov/dataviewer/ |
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Name: | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. |
URL 2
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8615/supplemental/extent_m8615.kmz |
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Name: | Browse graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | KML |
Description: |
This graphic displays the footprint for this lidar data set. |
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8615/supplemental/San_Diego_County_CA_LiDAR_Acquisition_Report.pdf |
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Name: | Dataset report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to data set report. |
Technical Environment
Description: |
MicroStation Version 8; TerraScan Version 15; TerraModeler Version 15; GeoCue Version 2014.1.21.1; Esri ArcGIS 10.2; Global Mapper 16; Leica Cloud Pro 1.2; Windows 7 Operating System \\PSIHQ_NX3200\Projects\Projects\26965_FEMA_STARR_San_Diego 1.03 TB and \\matrix\matrix\LIDAR\26965_San_Diego_Watersheds 4.35 TB |
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Data Quality
Vertical Positional Accuracy: |
The specifications require that only raw Nonvegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The raw NVA was tested with independent survey points distributed throughout the project area and located in open terrain. These checkpoints were not used in the calibration or post-processing of the lidar point cloud data. Specifications for this project require that the raw NVA be 19.6 cm or better AccuracyZ at 95 percent confidence level. Qualitative value:0.287, Test that produced the value: The raw NVA was tested using 67 independent survey points located in open terrain. The surveyed checkpoints were distributed throughout the project area and surveyed using GNSS procedures and methodologies that provide reliable and consistent results to meet the project's accuracy requirements. Please see the Survey Report for more information. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the unclassified lidar surface were then compared to the elevation values of the surveyed control. The RMSEz was computed to be 0.045 meters (0.147 feet) and AccuracyZ to be 0.087 meters (0.287 feet). This meets the required AccuracyZ value of 19.6 cm raw 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 National Digital Elevation Program (NDEP)/ASPRS Guidelines. |
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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 Non-Vegetated Vertical Accuracy specifications. |
Conceptual Consistency: |
Classified LAS files were tested by Quantum Spatial for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas. |
Lineage
Sources
FEMA San Diego, California Ground Control Project Report
Publish Date: | 2016-02-03 |
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Extent Type: | Discrete |
Extent Start Date/Time: | 2016 |
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 2015
Publish Date: | 2016-01-01 |
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Extent Type: | Range |
Extent Start Date/Time: | 2015-10-30 |
Extent End Date/Time: | 2015-11-23 |
Source Contribution: |
This data source was used to populate the lidar point cloud data. |
Process Steps
Process Step 1
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. Overlap points were flagged using the overlap bit, per LAS 1.4 specifications. All data was 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. 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. |
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Process Date/Time: | 2015-01-01 00:00:00 |
Process Step 2
Description: |
Data were obtained from the USGS in LAZ format, NAD83(2011) California State Plane VI (FIPS 0406) projection and NAVD88(Geoid12b) vertical feet. For ingestion into the Digital Coast Data Access Viewer, the data were projected to geographic coordinates and reduced to ellipsoid heights in meters by removing the geoid12b model. |
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Process Date/Time: | 2018-10-02 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 54014 |
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GUID: | gov.noaa.nmfs.inport:54014 |
Metadata Record Created By: | Kirk Waters |
Metadata Record Created: | 2018-10-02 11:15+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 |