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Summary
Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Related Items
Catalog Details

Summary

Browse graphic

Short Citation
OCM Partners, 2024: 2022 DC OCTO Lidar: Washington, DC, https://www.fisheries.noaa.gov/inport/item/69938.
Full Citation Examples

Abstract

These lidar data are processed classified LAS 1.4 files at USGS QL2 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV).

The NOAA Office for Coastal Management (OCM) downloaded laz point data files from the Open Data DC site.

The data were processed to the NOAA Digital Coast Data Access Viewer (DAV) to make the data available for bulk and custom downloads. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

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. Change to an orthometric vertical datum is one of the many options.

  • 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. They will be in an orthometric datum.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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

-77.122373° W, -76.900716° E, 39.001746° N, 38.785481° S

Time Frame 1
2022-01-24 - 2022-01-26

Item Identification

Title: 2022 DC OCTO Lidar: Washington, DC
Short Name: dc2022_wash_dc_m9837_metadata
Status: Completed
Creation Date: 2022
Publication Date: 2022-05-24
Abstract:

These lidar data are processed classified LAS 1.4 files at USGS QL2 covering the District of Columbia. Some areas have limited data. The lidar dataset redaction was conducted under the guidance of the United States Secret Service. All data returns were removed from the dataset within the United States Secret Service redaction boundary except for classified ground points and classified water points.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV).

The NOAA Office for Coastal Management (OCM) downloaded laz point data files from the Open Data DC site.

The data were processed to the NOAA Digital Coast Data Access Viewer (DAV) to make the data available for bulk and custom downloads. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record.

Purpose:

LiDAR point cloud data acquisition was flown in a single lift on January 24, 2022, and a short reflight on January 26, 2022. This data is used for the planning and management of Washington, D.C. by local government agencies.

Supplemental Information:

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

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

"ldrsens" : "ALS80",

"ldrmaxnr" : "11",

"ldrnps" : "0.5",

"ldrdens" : "4",

"ldranps" : ".06",

"ldradens" : "4",

"ldrfltht" : "2423.2",

"ldrfltsp" : "153",

"ldrscana" : "28",

"ldrscanr" : "59.7",

"ldrpulsr" : "586000",

"ldrmpia" : "5",

"ldrswatw" : "1208",

"ldrswato" : "229.52",

"ldrbmdiv" : "0.20",

"ldrwavel" : "1064",

"ldrpulsd" : "2.5",

"ldrpulsw" : "5",

"ldrgeoid" : "Geoid12B"

},

"ldraccur" : {

"ldrchacc" : "8.8",

"rawnva" : "0.088",

"rawnvan" : "20"

},

"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 using the standard LAS overlap bit",

"lasintr" : "5",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed, but unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare-earth ground"

},

"lasclass" : {

"clascode" : "3",

"clasitem" : "Low vegetation"

},

"lasclass" : {

"clascode" : "4",

"clasitem" : "Medium vegetation"

},

"lasclass" : {

"clascode" : "5",

"clasitem" : "High vegetation"

},

"lasclass" : {

"clascode" : "6",

"clasitem" : "Buildings"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low noise"

},

"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 > DISTRICT OF COLUMBIA
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: DC Office of the Chief Technology Officer (OCTO)

Support Roles

Data Steward

CC ID: 1235687
Date Effective From: 2023
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: 1235686
Date Effective From: 2023
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: 1235688
Date Effective From: 2023
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: 1235689
Date Effective From: 2023
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: 1235692
W° Bound: -77.122373
E° Bound: -76.900716
N° Bound: 39.001746
S° Bound: 38.785481

Extent Group 1 / Time Frame 1

CC ID: 1235691
Time Frame Type: Range
Start: 2022-01-24
End: 2022-01-26

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: 1235681

Coordinate Reference System

CRS Type: Geographic 3D
EPSG Code: EPSG:6319
EPSG Name: NAD83(2011)
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or 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: 1235693
Start Date: 2023-05-19
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9837/details/9837
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - 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.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1235694
Start Date: 2023-05-19
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9837/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present)
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. They will be in an orthometric datum.

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

URLs

URL 1

CC ID: 1235683
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: 1235684
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9837/supplemental/dc2022_wash_dc_m9837.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 1235706
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/9837/ept.json
Name: Entwine Point Tile (EPT)
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 4

CC ID: 1235707
URL: https://coast.noaa.gov/lidar/viewer/v/noaapotree.html?m=9837&g=geoid18
Name: Potree 3D View
URL Type:
Online Resource
Description:

Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer.

URL 5

CC ID: 1235708
URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9838/details/9838
Name: Custom DEM Download
URL Type:
Online Resource
Description:

Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set.

Technical Environment

Description:

Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362

Data Quality

Vertical Positional Accuracy:

A final vertical accuracy check of the boresighted flight lines against the surveyed ground control points was conducted. The boresighted lidar data achieved a vertical accuracy of 0.052m RMSE (0.102m at 95% confidence) against the 20 NVA checkpoint control locations.

Completeness Report:

Areas with deleted above-ground features exist in the dataset as directed by the United States Secret Service (USSS).

Conceptual Consistency:

Data covers the entire District of Columbia.

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-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Lineage Statement:

Data were collected and processed by Fugro for the DC Office of the Chief Technology Officer (OCTO) and were made available on the Open Data DC site. The data were downloaded from the Open Data DC site by the NOAA Office for Coastal Management (OCM) where the data were processed to make it available for custom download from the NOAA Digital Coast Data Access Viewer (DAV) and for bulk download from AWS S3.

Sources

Open Data DC

CC ID: 1235709
Contact Role Type: Publisher
Contact Type: Organization
Contact Name: Open Data DC
Citation URL: https://opendata.dc.gov/datasets/2022-lidar-classified-las/explore
Citation URL Name: Open Data DC Lidar

Process Steps

Process Step 1

CC ID: 1235674
Description:

The lidar data acquisition for DC OCTO was flown to support the creation of a 4 ppsm classified lidar point cloud data set, 1m resolution hydro-flattened bare earth DEM, DSM, nDSM, 1 meter resolution intensity images, and .6m contours over the full project area covering the District of Columbia. Due to security requirements in the area, Fugro received waivers to fly in the Flight Restricted Zone (FRZ) and P-56 areas. The lidar acquisition was flown in a single lift on January 24, 2022, and a short reflight on January 26, 2022, at an altitude of 7,950 feet above mean sea level and composed of 22 flight lines, 20 primary lines and two cross ties. All lidar data was collected with a Piper Navajo PA31-50, tail# N62912 and a Leica ALS80 lidar sensor, #130. Due to the known difficulties flying over DC, the ALS80 sensor was selected to take advantage of its flight altitude and speed, minimizing the number of lifts for the various flight restrictions. All lidar was collected in conjunction with airborne GPS.

Process Date/Time: 2022-01-01 00:00:00

Process Step 2

CC ID: 1235675
Description:

Rice and Associates, under contract to Fugro USA Land, Inc., successfully established ground control for the DC OCTO project area. A total of 31 survey points were visited, 1 ground control point, 25 NVA checkpoints, and 5 VVA checkpoints. Of those 31 surveys, 18 were only visually observed to maintain control integrity and assure that construction had not altered the point. 13 surveys were done for this project to compile with previously surveyed ground control data. The new surveys used GPS to establish the control network. The ground control was delivered in Maryland State Plane (FIPS1900) meters, with the horizontal datum provided in both NAD1983 and NAD83(2011). The vertical datum was the North American Vertical Datum of 1988 (NAVD88) using GEOID12B. The table below shows which points were used as the control, which were used as NVA checkpoints, and which were VVA checkpoints: NVA - NVA-01 NEW SURVEY,NVA-02 NEW SURVEY,NVA-03,NVA-04-2,NVA-05 NEW SURVEY,NVA-06,NVA-07-2,NVA-08,NVA-09,NVA-10 NEW SURVEY,NVA-11,NVA-12-2 NEW SURVEY,NVA-13,NVA-14 NEW SURVEY,NVA-15,NVA-16,NVA-17,NVA-18,NVA-19 NEW SURVEY,NVA-20; VVA - VVA01 NEW SURVEY,VVA02 NEW SURVEY,VVA03 NEW SURVEY,VVA04 NEW SURVEY,VVA05 NEW SURVEY; GCP - GCP-01-2,GCP-02,GCP-03,GCP-04 NEW SURVEY,GCP-05-2,GCP-06-2. During initial processing, QC and accuracy assessments were run the data in NAD83(2011) datum which is the native coordinate system from the sensor. Following boresight the data was re-projected to NAD83 for delivery per the contract specifications and cut to the delivery extent the control was re-run in the final deliverable projection.

Process Date/Time: 2022-01-01 00:00:00

Process Step 3

CC ID: 1235676
Description:

Pre-Processing and Boresight All lidar data went through a preliminary field review to ensure that complete coverage was obtained and that there were no gaps between flight lines prior to leaving the project site. Once back in the office, the data went through a complete iteration of processing to ensure that it is complete, uncorrupted and that the entire project area was covered without gaps. There were three steps to processing: 1) GPS/IMU processing - airborne GPS and IMU data was processed using the airport GPS base station data; 2) raw lidar data processing - the raw data was processed to LAS format flight lines with full resolution output before performing QC. A starting configuration file is used in this process, which contains the latest calibration parameters for the sensor and outputs the flight line trajectories. 3) Verification of coverage and data quality - the trajectory files were checked to ensure completeness of acquisition for the flight lines, calibration lines and cross flight lines. Intensity images were generated for the entire lift and thoroughly reviewed for data gaps in project area. A sample TIN surface was generated to ensure no anomalies or turbulence were present in the data; if any adverse quality issues were discovered, the flight line was rejected and re-flown. The achieved post spacing confirmed against the project specification of 4 ppsm and checked for clustering in point distribution. The review showed that the lidar data exceeded the 2 ppsm post spacing. The lidar data was boresighted using the following steps: 1) The raw data was processed to LAS format flight lines using the final GPS/IMU solution. This LAS dataset was used as source data for boresighting. 2) Fugro proprietary and commercial software was used to calculate initial boresight adjustment angles based on sample areas within 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 results were analyzed and any additional adjustments were completed in the selected areas. 3) Once the boresight angle calculation was completed, the adjusted settings were applied to the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze the matching between flight line overlaps for the entire lift and adjusted as necessary. 4) Vertical misalignment of all flight lines was checked and corrected, as was the matching between data and ground truth. 5) A final vertical accuracy check of the boresighted flight lines against the surveyed ground control points was conducted. The boresighted lidar data achieved a vertical accuracy of 0.052m RMSE (0.102m at 95% confidence) against the 20 NVA checkpoint control locations.

Process Date/Time: 2022-01-01 00:00:00

Process Step 4

CC ID: 1235677
Description:

Data Redaction Following the boresight completion, the lidar dataset redaction was conducted under the guidance of the United States Secret Service. All lidar data returns and collected data were removed from the dataset based on the redaction footprint shapefile agreed upon in 2022.

Process Date/Time: 2022-01-01 00:00:00

Process Step 5

CC ID: 1235678
Description:

Classified Point Cloud The boresighted lidar data underwent an automated classification filter to classify low noise, high noise, and ground points. To obtain optimum results, the parameters used by the automated classification filter are customized for each terrain type and project. Once the automated filtering was completed, the lidar files went through a visual inspection to ensure that an appropriate level of filtering was used. In cases where the filtering was too aggressive and important terrain may have been filtered out, the data is either run through a different filter within localized area or is corrected during the manual filtering process. A second automatic filter is run for the initial classification on buildings. Following the automatic filters, manual editing was completed in Terrascan software to correct any misclassification of the lidar dataset. All tiles then went through a peer review to ensure proper editing and consistency. When the peer review was completed two additional automatic filters were applied. The first filter was used to classify the vegetation - moving the unclassified points to either the low, medium, or high vegetation classes. The second filter was used to re-classify points inside water bodies to water class, and a 1*NPS buffer around water bodies to ignored ground class. Once the manual inspection, QC, and auto filter is complete for the lidar tiles, the LAS point cloud data was converted into the final deliverable format and the accuracy statistics were re-run to confirm the deliverable accuracy. The LAS was then cut to the final delivery layout and in LAS 1.4 format for delivery. The point cloud was delivered with data in the following classifications: Class 1 - Processed but Unclassified; Class 2 - Bare Earth Ground; Class 3 - Low Vegetation; Class 4 - Medium Vegetation; Class 5 - High Vegetation, Class 6 - Buildings; Class 7 - Low Point (Noise); Class 9 - Water; Class 17 - Bridge Decks; Class 18 - High Noise; Class 20 - Ignored Ground.

Process Date/Time: 2022-01-01 00:00:00

Process Step 6

CC ID: 1235710
Description:

The NOAA Office for Coastal Management (OCM) downloaded 328 las point data files from this Open Data DC site:

https://opendata.dc.gov/datasets/2022-lidar-classified-las/explore

The data were in Maryland State Plane (NAD83 2011), meters coordinates and NAVD88 (Geoid12b) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 3- Low Vegetation, 4 - Medium Vegetation, 5 - High Vegetation, 6 - Buildings, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 4, 5, 6, 7, 9, 17, 18, 20. Only ground classified points area available in these four areas: The U.S. Naval Observatory, the White House, the U.S. Capital Building/U.S. Supreme Court/ Library of Congress, and the Washington Navy Yard (few buildings).

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges.

2. Internal OCM scripts were run on the las files to:

a. Convert from orthometric (NAVD88) elevations to NAD83 (2011) ellipsoid elevations using the Geoid12b model

b. Convert the las files from Maryland State Plane (NAD83 2011), meters coordinates to geographic coordinates

c. Assign the geokeys, sort the data by gps time and zip the data to database.

Process Date/Time: 2023-05-18 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference 2022 DC OCTO Lidar DEM: Washington, DC

Catalog Details

Catalog Item ID: 69938
GUID: gov.noaa.nmfs.inport:69938
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2023-05-19 14:02+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2023-05-19
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2023-05-19
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2024-05-19