2018 OLC Lidar DEM: Harney County, OR
OCM Partners
Data Set
(DS)
| ID: 59006
| Published / External
Created: 2020-03-09
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Last Modified: 2023-02-21
Project (PRJ) | ID: 49404
ID: 59006
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2018 OLC Lidar DEM: Harney County, OR |
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Short Name | |
* Status | Completed |
Creation Date | |
Revision Date | |
• Publication Date | 2018-11-29 |
* » Abstract |
This metadata record is for the Oregon Lidar Consortium (OLC) Harney 2018 area of interest (AOI) bare-earth, hydro-flattened DEM, which was produced in collaboration with the USGS 3DEP program. The defined project area (DPA) encompasses 128,891 acres, and the buffered project area (BPA) encompasses 133,051 acres. All data are in Harney County, Oregon. The nominal pulse density for the source lidar is eight pulses per square meter. The bare earth (BE) digital elevation model (DEM) raster grid cell size is 1 meter The native projection is Universal Transverse Mercator (UTM) Zone 11N, units are in meters. The native horizontal datum is NAD83(2011) and the native vertical datum is NAVD88 (Geoid 12B). Quantum Spatial Inc. collected the lidar and created this dataset in partnership with the Oregon Department of Geology and Mineral Industries (DoGAMI). |
* Purpose |
This dataset provides high resolution elevation data that is used to produce three-dimensional models of the earth surface for the purpose of managing natural resources and mapping natural hazards. |
Notes | |
Other Citation Details | |
• Supplemental Information |
CONTRACTOR: Quantum Spatial, Inc. All ground survey data, Lidar data acquisition, calibration, and follow-on processing were completed by the prime contractor, Quantum Spatial, Inc. |
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 > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus | bare earth |
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus | digital elevation model (DEM) |
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus | hillshade |
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus | lidar |
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus | topography |
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 |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > SEA FLOOR |
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus | Continent > North America > United States Of America > Oregon |
Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus | Continent > North America > United States Of America > Oregon > Harney County |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > 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 |
Users should be aware that temporal changes may have occurred since this dataset was collected and that some parts of these 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 product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, surveying, or site specific purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. Acknowledgement of Oregon Department of Geology and Industries (DoGAMI) would be appreciated for products derived from these data. 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 | OLC / DOGAMI, Quantum Spatial, Inc., USGS |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2020 |
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 | 2020 |
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 | 2020 |
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 | 2020 |
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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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 | -119.321982 |
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* » E° Bound | -118.810761 |
* » N° Bound | 43.754523 |
* » S° Bound | 43.520614 |
* » Description |
Extent Group 1 / Vertical Extent
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Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 2018-08-03 |
End | 2018-08-04 |
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Description |
Spatial Information
Spatial Resolution
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Angular Distance Units | |
Horizontal Distance | 1.0 |
Horizontal Distance Units | Meter |
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Spatial Representation
Grid Representation Used? | No |
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Vector Representation Used? | Yes |
Text / Table Representation Used? | No |
TIN Representation Used? | No |
Stereo Model Representation Used? | No |
Video Representation Used? | No |
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Point Object Present? | No |
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Reference Systems
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Access Information
* » Security Class | Unclassified |
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* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2020-03-09 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9048 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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. |
File Date/Time | |
File Type | Zip |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2020-03-09 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/htdata/raster2/elevation/OLC_harney_DEM_2018_9048 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2020 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in the original coordinate system. |
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File Type | GeoTIFF (.tif) |
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URLs
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/geoid18/9044/supplemental/extent_2018_OLC_Harney_m9044.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/geoid18/9044/supplemental/2018_OLC_Harney_Data_Report.pdf |
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Name | Dataset report |
URL Type | Online Resource |
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Link to data set report. |
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Technical Environment
Description |
LiDAR Mapping Suite 2.4, Applanix PosPac 7.1, Microstation Version 8.0, TerraScan Version 16, TerraModeler Version 16, TerraMatch Version 16, ESRI ArcGIS 10.3.1, Windows 7 Operating System |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy | |
Vertical Positional Accuracy |
The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA (i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes). The Raw Swath NVA was tested with 46 checkpoints located in bare earth and urban (non-vegetated) areas. These checkpoints were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and 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 points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% 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. The project specifications require the accuracy (ACCz) of the derived DEM be calculated and reported in two ways: 1. The required NVA is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in the "bare earth" and "urban" land cover classes. This is a required accuracy. The Bare Earth DEM NVA was tested with 46 checkpoints located in bare earth and urban (non-vegetated) areas; the 2. Vegetated Vertical Accuracy (VVA): VVA is be reported for "forested", "brushland/trees", and "tall weeds/crops" land cover classes. The target VVA is: 29.4 cm at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data, i.e., based on the 95th percentile error in all vegetated land cover classes combined. This is a target accuracy. The VVA was tested with 10 checkpoints located in vegetated areas. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% 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.Quantitative value: 0.063 0.070 0.092, Test that produced the value: Tested 0.063 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 46 independent checkpoints located in Bare Earth and Urban land cover classes. (RMSE = 3.2 cm). Tested 0.070 meters NVA at a 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standards for Spatial Data Accuracy (NSSDA). The NVA of the DEM was calculated using 46 independent checkpoints located in the Bare Earth and Urban land cover categories. Tested 0.092 meters VVA was calculated using 10 checkpoints located in vegetated land cover categories at the 95th percentile, derived according to ASPRS Guidelines, Vertical Accuracy Reporting for Lidar Data. Tested against the DEM. |
Quantitation Limits | |
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Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
Completeness Report |
A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. |
Conceptual Consistency |
Data covers the entire area specified for this project. |
» 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 |
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Sources
Citation Title | See the survey report PDF for this project area. |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | Quantum Spatial, Inc. |
Publish Date | 2018-11-29 |
Extent Type | Discrete |
Extent Start Date/Time | 2018-08-06 |
Extent End Date/Time | |
Scale Denominator | 50 |
Citation URL | |
Citation URL Name | |
Citation URL Description | |
Source Contribution |
These data was used to classify LiDAR point cloud data. |
Citation Title | See the survey report PDF for this project area. |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | Quantum Spatial, Inc. |
Publish Date | 2018-11-29 |
Extent Type | Range |
Extent Start Date/Time | 2018-08-03 |
Extent End Date/Time | 2018-08-04 |
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Citation URL Description | |
Source Contribution |
These data were used to assess the vertical accuracy of the LiDAR point cloud data. |
Citation Title | See the survey reprot PDF for this project area. |
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Contact Role Type | Originator |
Contact Type | Organization |
Contact Name | Quantum Spatial, Inc. |
Publish Date | 2018-11-29 |
Extent Type | Discrete |
Extent Start Date/Time | 2018-08-06 |
Extent End Date/Time | |
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Citation URL | https://quantumspatial.com/ |
Citation URL Name | Quantum Spatial |
Citation URL Description |
Quantum Spatial's Website |
Source Contribution |
This data was used, along with GPS/IMU data, to georeference LIDAR point cloud data. |
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Process Steps
Process Step Number | 1 |
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» Description |
Lidar data acquisition occured between August 3 and 4, 2018. The survey utilized the Optech Galaxy Prime laser systems mounted in a Cessna Caravan 208B. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight. Processing.1. Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each flight line. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using ALS Post Processor software and IPAS Pro GPS/INS software, based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies. 9. Points were output as laser points, TINed and GRIDed surfaces. |
Process Date/Time | 2028-08-06 00:00:00 |
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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. All classification tags were stored in the original swath files. After completion of classification and final QC approval, the NVA and VVA for the project were calculated. Sample areas for each land cover type present in the project 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 | 2018-08-06 00:00:00 |
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Process Step Number | 3 |
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» Description |
Hydro-Flattened Raster DEM Processing: Class 2 (Ground) LiDAR points in conjunction with the hydro-breaklines were used to create a 1-meter hydro-flattened raster DEM. Using automated scripting routines within ArcMap, an ESRI GRID file was created for each tile. Each surface is reviewed using Global Mapper to check for any surface anomalies or incorrect elevations found within the surface. |
Process Date/Time | 2018-08-06 00:00:00 |
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Process Step Number | 4 |
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» Description |
The NOAA Office for Coastal Management (OCM) received 1,098 IMG files from the Oregon Lidar Consortium/ DOGAMI. The data were in UTM Zone 11N (NAD83 2011) coordinates in meters and NAVD88 (Geoid12b) elevations in meters, at 1-m spatial resolution. OCM converted the files from .IMG format to Geotiff format using gdal_warp. The files were then assigned the EPSG codes of 6340 (horizontal) and 5703 (vertical) and then copied to https for Digital Coast storage and provisioning purposes.ordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http. |
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Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
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Catalog Details
Catalog Item ID | 59006 |
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Metadata Record Created By | Blake Waring |
Metadata Record Created | 2020-03-09 12:22+0000 |
Metadata Record Last Modified By | SysAdmin InPortAdmin |
» Metadata Record Last Modified | 2023-02-21 18:41+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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