53856
San Diego CA 2014 Lidar QL 1
2014 San_Diego QL1 m8610
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2015-04-15
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.
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.
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"
}
}}
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Theme
Hydrology
Theme
beach
Theme
erosion
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Lidar point cloud
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
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.
Data Steward
2018
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2018
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2018
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2018
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-117.13999992267
-117.03407546829
32.66416160375
32.52651844575
Range
2014-10-27
2015-02-17
.35
Meter
Yes
Unclassified
Data is available online for custom downloads
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.
2018
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8610
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base.
Zip
2018
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8610/index.html
Bulk Download
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.
LAZ
LAS/LAZ - LASer
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8610/supplemental/2014_sandiego_q1_m8610_extent.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/
NOAA's Office for Coastal Management (OCM) website
Online Resource
HTML
Information on the NOAA Office for Coastal Management (OCM)
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
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.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8610/supplemental/San_Diego_QL1_LiDAR_FOCUS_Report.pdf
Dataset report
Online Resource
PDF
Link to data set report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8611/supplemental/breaklines.zip
Breaklines
Online Resource
.zip
Shapefile of breaklines for the data
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
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.
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.
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.
Control Survey Report: San Diego, CA. Ortho and Lidar Task Order
2015-04-15
Discrete
2015
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
2015-01-01
Range
2014-10-27
2015-02-17
This data source was used to populate the lidar point cloud data.
1
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.
2015-01-01T00:00:00
2
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.
2015-01-01T00:00:00
3
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.
2015-01-01T00:00:00
4
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.
2015-01-01T00:00:00
5
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.
2018-09-20T00:00:00
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
53857
Data Set
San Diego CA 2014 Lidar QL2
Series
Higher density data for part of the area covered by this data set.
gov.noaa.nmfs.inport:53856
Kirk Waters
2018-09-20T08:26:18
SysAdmin InPortAdmin
2023-10-17T16:12:18
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16