2022 DC OCTO Lidar DEM: Washington, DC
OCM Partners
Data Set
(DS)
| ID: 69939
| Published / External
Created: 2023-05-19
|
Last Modified: 2024-01-10
Project (PRJ) | ID: 49404
ID: 69939
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2022 DC OCTO Lidar DEM: Washington, DC |
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Short Name | |
* Status | Completed |
Creation Date | 2022 |
Revision Date | |
• Publication Date | 2022-05-24 |
* » Abstract |
Digital Terrain Model - 1m resolution. The dataset contains the 1m Digital Terrain Model for 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. LiDAR point cloud data acquisition was flown in a single lift on January 24, 2022, and a short re-flight on January 26, 2022. This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). The NOAA Office for Coastal Management (OCM) downloaded a raster data file 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 bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record. |
* Purpose |
This data is used for the planning and management of Washington, D.C. by local government agencies. |
Notes | |
Other Citation Details | |
• Supplemental Information | |
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 > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
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 | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > DISTRICT OF COLUMBIA |
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 | Model (digital) |
• 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 | DC Office of the Chief Technology Officer (OCTO) |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2023 |
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 | 2023 |
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 | 2023 |
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 | 2023 |
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 |
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* 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 | -77.122373 |
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* » E° Bound | -76.900716 |
* » N° Bound | 39.001746 |
* » S° Bound | 38.785481 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2022-01-24 |
End | 2022-01-26 |
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Description |
Spatial Information
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Spatial Representation
Grid Representation Used? | Yes |
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Vector Representation Used? | No |
Text / Table Representation Used? | No |
TIN Representation Used? | No |
Stereo Model Representation Used? | No |
Video Representation Used? | No |
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Reference Systems
Reference System
EPSG Code | EPSG:5703 | ||||||||||||||||||||||||||||
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EPSG Code | EPSG:26985 | ||||||||||||||||||||||||||||
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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 bulk and 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. This work is licensed under a Creative Commons Attribution 4.0 International License. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2023-05-19 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9838/details/9838 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present) |
File Name | Custom Download |
Description |
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. |
File Date/Time | |
File Type (Deprecated) | Zip |
Distribution Format | |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2023-05-19 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/DC_WashDC_DEM_2022_9838/index.html |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2023 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in the original coordinate system. |
File Date/Time | |
File Type (Deprecated) | GeoTIFF |
Distribution Format | GeoTIFF |
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Archive Information
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URLs
URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9837/details/9837 |
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Name | Custom Point Download |
URL Type | Online Resource |
File Resource Format | |
Description |
Link to custom download, from the Data Access Viewer (DAV), the lidar point data from which these raster Digital Elevation Model (DEM) data were created. |
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/geoid18/9837/supplemental/dc2022_wash_dc_m9837.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. |
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Activity Log
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Issues
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Technical Environment
Description |
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
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. |
Quantitation Limits | |
Bias | |
Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
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. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | Yes |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | Unknown |
» Do these Data Comply with the Data Access Directive? | Yes |
» 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 | |
» Actual or Planned Long-Term Data Archive Location | NCEI-CO |
» 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? |
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 https. |
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Sources
Citation Title | Open Data DC |
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Contact Role Type | Publisher |
Contact Type | Organization |
Contact Name | Open Data DC |
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Citation URL | https://opendata.dc.gov/datasets/2022-lidar-hydro-enforced-digital-terrain-model/explore |
Citation URL Name | Open Data DC Lidar |
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Process Steps
Process Step Number | 1 |
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» 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 0.6m 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 |
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Process Step Number | 2 |
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» 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 |
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Process Step Number | 3 |
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» 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 |
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Process Step Number | 4 |
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» 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 |
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Process Step Number | 5 |
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» 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 |
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Process Step Number | 6 |
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» Description |
The hydro-flattened bare earth Digital Terrain Model (DTM) was generated using the lidar bare earth points and 3D hydro breaklines to a resolution of 1 m. The bare earth points that fell within 1 x NPS along the hydro breaklines were excluded from the DEM generation process and put into class 20 - ignored ground. This is analogous to the removal of mass points for the same reason in a traditional photogrammetrically compiled DTM. This process was done in batch using proprietary software. The technicians then used Fugro proprietary software for the production of the lidar-derived hydro-flattened bare earth DEM surface in initial grid format at 1 m GSD. Water bodies (inland ponds and lakes), inland streams and rivers, and island holes were hydro-flattened within the DEM. Once the initial, hydro-flattened bare earth DEM was generated, the tiles were checked to ensure that the grid spacing met specifications. The surface was also checked to ensure proper hydro-flattening. The entire dataset was reviewed for complete project coverage and then converted to Geotiffs. |
Process Date/Time | 2022-01-01 00:00:00 |
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Process Step Number | 7 |
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» Description |
The NOAA Office for Coastal Management (OCM) downloaded one file in GeoTiff format from the Open Data DC site (https://opendata.dc.gov/datasets/2022-lidar-hydro-enforced-digital-terrain-model/explore). The bare earth raster file was at a 1 meter grid spacing. The data were in Maryland State Plane NAD83, meters coordinates and NAVD88 (Geoid12b) elevations in meters. OCM copied the raster file to https for Digital Coast storage and provisioning purposes. |
Process Date/Time | 2023-05-24 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
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Child Items
Rubric scores updated every 15m
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Related Items
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Data Set (DS) | Cross Reference |
2022 DC OCTO Lidar: Washington, DC |
Catalog Details
Catalog Item ID | 69939 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2023-05-19 20:14+0000 |
Metadata Record Last Modified By | Kirk Waters |
» Metadata Record Last Modified | 2024-01-10 19:30+0000 |
Metadata Record Published | 2024-01-10 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2023-05-19 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2024-05-19 |
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