San Diego CA 2014 Lidar QL2
OCM Partners
Data Set
(DS)
| ID: 53857
| Published / External
Created: 2018-09-20
|
Last Modified: 2023-10-17
Project (PRJ) | ID: 49401
ID: 53857
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | San Diego CA 2014 Lidar QL2 |
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Short Name | San_Diego_Project_Level_Metadata.xml |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | 2015-04-15 |
* » Abstract |
Geographic Extent: San Diego, California, covering approximately 1,505 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 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 1564 individual 5000 ft x 5000 ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000 ft x 5000 ft schema, and Breaklines in Esri geodatabase format.
Ground Conditions: LiDAR was collected in late 2014 and early 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, Photo Science established a total of 88 QA calibration control points and 80 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 2.5 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. |
Notes | |
Other Citation Details | |
• 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" : "0.69", "ldrdens" : "2.00", "ldrfltht" : "975", "ldrfltsp" : "115", "ldrscana" : "30", "ldrscanr" : "42.5", "ldrpulsr" : "75", "ldrpulsd" : "4", "ldrpulsw" : "0.41", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.25", "ldrswatw" : "523", "ldrswato" : "25", "ldrcrs" : "NAD_1983_2011_StatePlane_California_VI_FIPS_0406_Feet", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid12A" }, "ldraccur" : {
"ldrchacc" : "-9999", "rawfva" : "0.116", "clsfva" : "0.149", "clscva" : "0.231", "clssvas" : {
"svalctyp" : "High Grass, Weeds, and Crops", "svavalue" : "0.251" }, "clssvas" : {
"svalctyp" : "Brush Lands and Low Trees", "svavalue" : "0.197" }, "clssvas" : {
"svalctyp" : "Urban Areas", "svavalue" : "0.094" } }, "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" } }} |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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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 |
None | beach |
None | erosion |
None | Hydrology |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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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 |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
Platform Keywords
Thesaurus | Keyword |
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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 |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | None Planned |
Maintenance Note | |
» Data Presentation Form | Lidar point cloud |
• Entity Attribute Overview | |
Entity Attribute Detail Citation | |
Entity Attribute Detail URL | |
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. |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2018 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2018 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2018 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2018 |
Date Effective To | |
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 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | |
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* » Contact | |
* Contact Instructions |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -117.59965195819 |
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* » E° Bound | -116.80835911868 |
* » N° Bound | 33.50624023206 |
* » S° Bound | 32.51964774248 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Vertical Minimum | |
Vertical Maximum |
Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2014-10-27 |
End | 2015-02-17 |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Spatial Information
Spatial Resolution
Angular Distance | |
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Angular Distance Units | |
Horizontal Distance | 0.7 |
Horizontal Distance Units | Meter |
Vertical Distance | |
Vertical Distance Units | |
Equivalent Scale Denominator | |
Level of Detail Description |
Spatial Representation
Grid Representation Used? | |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | |
TIN Representation Used? | |
Stereo Model Representation Used? | |
Video Representation Used? |
Grid Representation
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Vector Representation
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Solid Object Present? | |
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Surface Object Present? | |
Surface Object Count |
Reference Systems
Reference System
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Access Information
Data License | |
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Data License URL | |
Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2018 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8611 |
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. |
File Date/Time | |
File Type (Deprecated) | |
Distribution Format | |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2018 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8611/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 Date/Time | |
File Type (Deprecated) | LAZ |
Distribution Format | LAS/LAZ - LASer |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
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Archive Information
Location | |
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URL | |
Description | |
DOI | |
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Location | |
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File Identifier | |
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URL | |
Description | |
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URLs
URL | https://coast.noaa.gov/ |
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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 | 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 | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8610/supplemental/2014_sandiego_q1_m8610_extent.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 | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8611/supplemental/San_Diego_LiDAR_FOCUS_Report.pdf |
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Name | Dataset report |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to data set report. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8611/supplemental/24982_SanDiegoCA_LiDAR_Appendices.pdf |
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Name | Report Appendices |
URL Type | Online Resource |
File Resource Format | |
Description |
Appendices to the dataset report |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8611/supplemental/24982_SanDiego_LiDAR_Report.pdf |
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Name | Summary report |
URL Type | Online Resource |
File Resource Format | |
Description |
Summary report from the contractor. |
URL | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/8611/supplemental/breaklines.zip |
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Name | Breaklines |
URL Type | Online Resource |
File Resource Format | .zip |
Description |
Breaklines for data set. |
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Activity Log
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Issues
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Issue |
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 |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
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 19 independent survey check points located in open terrain. The survey checkpoints were distributed throughout the project area. The 19 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:0.116, Test that produced the value: The FVA was tested using 19 independent survey check points located in open terrain. The survey checkpoints were distributed throughout the project area. The 19 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 0.382 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. |
Quantitation Limits | |
Bias | |
Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
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. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | |
» Do these Data Comply with the Data Access Directive? | |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed |
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» Actual or Planned Long-Term Data Archive Location | |
» If World Data Center or Other, Specify | |
» If To Be Determined, Unable to Archive, or No Archiving Intended, Explain |
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» Approximate Delay Between Data Collection and Archiving | |
» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive? |
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Lineage
» Lineage Statement |
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Sources
Citation Title | Control Survey Report: San Diego, CA. Ortho and Lidar Task Order |
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Contact Role Type | |
Contact Type | |
Contact Name | |
Publish Date | 2015-04-15 |
Extent Type | Discrete |
Extent Start Date/Time | 2015 |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | |
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Citation URL Description | |
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. |
Citation Title | Lidar RAW Data for San Diego 2014 |
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Contact Role Type | |
Contact Type | |
Contact Name | |
Publish Date | 2015-01-01 |
Extent Type | Range |
Extent Start Date/Time | 2014-10-27 |
Extent End Date/Time | 2015-02-17 |
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Source Contribution |
This data source was used to populate the lidar point cloud data. |
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Process Steps
Process Step Number | 1 |
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» 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 Contact | |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 2 |
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» 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 Contact | |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 3 |
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» 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 Contact | |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 4 |
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» 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 Contact | |
Phone (Voice) | |
Email Address | |
Source |
Process Step Number | 5 |
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» Description |
NOAA OCM downloaded the data 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) |
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Data Set (DS) | Part of a Seamless Database |
San Diego CA 2014 Lidar QL 1 Higher density data set covering a subset of the area of this data set. Note that requests to the Digital Coast Data Access viewer will include this higher density data if the area of interest encompasses it. |
Catalog Details
Catalog Item ID | 53857 |
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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 Workflow State | Published / External |
Metadata Last Review Date | 2022-03-16 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-03-16 |
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