Digital elevation models (DEMs) of coastal North Carolina, from 2020-02-08 to 2020-02-09

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Andrew C. Ritchie
Originator: Jin-Si R. Over
Publication_Date: 20221011
Title:
Digital elevation models (DEMs) of coastal North Carolina, from 2020-02-08 to 2020-02-09
Edition: 1.0
Geospatial_Data_Presentation_Form: raster digital data (GeoTIFF)
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9K3TWY7
Publication_Information:
Publication_Place: Pacific Coastal and Marine Science Center, Santa Cruz, CA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9K3TWY7
Larger_Work_Citation:
Citation_Information:
Originator: Andrew C. Ritchie
Originator: Jin-Si R. Over
Originator: Christine J. Kranenburg
Originator: Jenna A. Brown
Originator: Daniel D. Buscombe
Originator: Christopher R. Sherwood
Originator: Jonathan A. Warrick
Originator: Phillipe A. Wernette
Publication_Date: 2022
Title:
Aerial photogrammetry data and products of the North Carolina coast
Edition: 1.0
Geospatial_Data_Presentation_Form: raster digital files
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9K3TWY7
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9K3TWY7
Description:
Abstract:
Digital elevation models (DEMs) were created from aerial imagery collected February 08 and 09, 2020, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These DEMs were created to document recovery ground conditions after Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019. The DEMs help researchers document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information systems or other software to identify topographic and shallow-water bathymetric features.
Purpose:
U.S. Geological (USGS) researchers use the DEMs to assess future coastal vulnerability, nesting habitats for wildlife, and provide data for hurricane impact models. The products span the coast over both highly developed towns and natural areas, including federal lands. This research is part of the USGS Remote Sensing Coastal Change Project.
Supplemental_Information:
Additional information about the field activity from which these data were derived is available online at:
https://cmgds.marine.usgs.gov/fan_info.php?fan=2020-303-CNT
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
The raw imagery and navigation data used to produce the DEMs are available online at https://doi.org/10.5066/P9ISFCVN. Bounding coordinates for the metadata are derived from the overall flight path and are not necessarily representative of individual DEM product boundaries, which are split up along the coast to have more accessible data-download sizes. See image at https://www.sciencebase.gov/catalog/file/get/617352c1d34ea36449a8838b?name=Product_Boundary_Map.jpg for geographic locations used to create the data subsets. Note that the term DEM is used throughout this data release, but digital surface model (DSM) is also appropriate, as the models include vegetation and other canopy returns.
Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20200208
Single_Date/Time:
Calendar_Date: 20200209
Currentness_Reference:
ground condition, data were collected on two days: February 8 and 9, 2020.
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Not planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -76.54866257
East_Bounding_Coordinate: -75.45833779
North_Bounding_Coordinate: 36.34868804
South_Bounding_Coordinate: 34.57838799
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: geoscientificInformation
Theme_Keyword: oceans
Theme_Keyword: imageryBaseMapsEarthCover
Theme:
Theme_Keyword_Thesaurus: Data Categories for Marine Planning
Theme_Keyword: Bathymetry and Elevation
Theme_Keyword: Physical Habitats and Geomorphology
Theme:
Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) keywords
Theme_Keyword: remote sensing
Theme_Keyword: fragile ecosystems
Theme_Keyword: beach
Theme_Keyword: barrier island
Theme_Keyword: geographic information systems (GIS)
Theme_Keyword: hurricanes and typhoons
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Hazards and Resources Program
Theme_Keyword: CMHRP
Theme_Keyword: Pacific Coastal and Marine Science Center
Theme_Keyword: PCMSC
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme_Keyword: Saint Petersburg Coastal and Marine Science Center
Theme_Keyword: SPCMSC
Theme_Keyword: Remote Sensing Coastal Change
Theme_Keyword: Hurricane Dorian
Theme_Keyword: digital surface models
Theme_Keyword: Outer Banks
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: structure from motion
Theme_Keyword: remote sensing
Theme_Keyword: geomorphology
Theme_Keyword: geospatial datasets
Theme_Keyword: digital elevation models
Theme_Keyword: earth sciences
Theme_Keyword: geography
Theme_Keyword: coastal processes
Theme_Keyword: hurricanes
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:62680610d34e76103ccfd293
Place:
Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
Place_Keyword: Atlantic Ocean
Place_Keyword: Pamlico Sound
Place_Keyword: State of North Carolina
Place_Keyword: Commonwealth of Virginia
Place_Keyword: Cape Lookout
Place_Keyword: Cape Hatteras
Place_Keyword: Duck (1025292)
Place_Keyword: Oregon Inlet
Place_Keyword: Hatteras Inlet
Place_Keyword: Ocracoke Inlet
Place_Keyword: Ophelia Inlet
Place_Keyword: Beaufort Inlet
Place_Keyword: Cape Lookout
Access_Constraints: None
Use_Constraints:
Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information. These data are not intended for navigational use.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Person: PCMSC Science Data Coordinator
Contact_Address:
Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description:
Example segment of an elevation-colored digital elevation model from 2020-02.
Browse_Graphic_File_Type: JPEG
Native_Data_Set_Environment:
Microsoft Windows 10, Agisoft Metashape Professional version 1.6.5, gdal version 3.1.4., QGIS 3.2.2.
Cross_Reference:
Citation_Information:
Originator: Jin-Si R. Over
Originator: Andrew C. Ritchie
Originator: Christine J. Kranenburg
Originator: Jenna A. Brown
Originator: Daniel D. Buscombe
Originator: Tommy Noble
Originator: Christopher R. Sherwood
Originator: Jonathan A. Warrick
Originator: Phillipe A. Wernette
Publication_Date: 2021
Title:
Processing coastal imagery with Agisoft Metashape Professional Edition, version 1.6—Structure from motion workflow documentation
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2021-1039
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
This publication includes the general methodology for processing imagery in Metashape to produce DEMs and ortho products.
Online_Linkage: https://doi.org/10.3133/ofr20211039
Cross_Reference:
Citation_Information:
Originator: NOAA Office for Coastal Management (OCM Partners)
Publication_Date: 2019
Title:
2018 USACE NCMP Post-Florence Topobathy Lidar DEM: Southeast Coast (VA, NC, SC)
Series_Information:
Series_Name: Data Series
Issue_Identification: 57345
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
This data set was used to qualitatively assess the horizontal and vertical accuracy of the DEM products.
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/57345
Cross_Reference:
Citation_Information:
Originator: NOAA Office for Coastal Management (OCM Partners)
Publication_Date: 2019
Title: 2019 USACE NCMP DUNEX Topobathy Lidar DEM: East Coast (NC, VA)
Series_Information:
Series_Name: Data Series
Issue_Identification: 60197
Publication_Information:
Publication_Place: Charleston, SC
Publisher: Office for Coastal Management
Other_Citation_Details:
This data set was used to qualitatively assess the horizontal and vertical accuracy of the DEM products.
Online_Linkage: https://www.fisheries.noaa.gov/inport/item/60197
Cross_Reference:
Citation_Information:
Originator: Christopher R. Sherwood
Originator: Jonathan A. Warrick
Originator: Andrew D. Hill
Originator: Andrew C. Ritchie
Originator: Nathaniel G. Plant
Publication_Date: 2018
Title:
Rapid, remote assessment of Hurricane Matthew impacts using four-dimensional structure-from-motion photogrammetry
Series_Information:
Series_Name: Professional Paper
Issue_Identification: DOI:10.2112/JCOASTRES-D-18-00016.1
Publication_Information:
Publication_Place: Online
Publisher: Journal of Coastal Research
Other_Citation_Details:
This publication includes the general methodology described for processing imagery in Metashape in four-dimensions to produce DEMs and ortho products.
Online_Linkage: https://doi.org/10.2112/JCOASTRES-D-18-00016.1
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The source imagery and positional information and metadata that were used to create these photogrammetrically derived digital elevation models are available at Kranenburg and others, (2022a). Information on the horizontal and vertical accuracies of the source data can be found within the data release metadata. Product vertical accuracy is assessed using published ground control points (Brown and others, 2021). Users are encouraged to do their own accuracy assessment with published lidar or other elevation products to make sure the error estimates and products meet their needs. It should also be noted that accuracy estimates of the products are for areas of bare ground or low vegetation where GCPs were placed. Additional sources of error such as poor image-to-image point matching due to vegetation or uniform substrate texture or moving objects resulting in poor surface reconstruction may cause localized errors in some portions of the DEM to exceed accuracy estimates. Processing imagery in 4D (see processing steps) aims to keep related products precise within the reported accuracies.
Logical_Consistency_Report:
There are a total of four DEMs included in this dataset. All data fall into expected elevation ranges except for points near tall buildings, areas of poorer image overlap, and near water (waves, ponds, shorelines), where the data return is often sparse, noisy, and erroneous. The DEM includes returns from the vegetation on land and in the water. Shallow underwater reconstructions have not been corrected for parallax.
Completeness_Report:
The final DEM products are not interpolated and have been cropped to remove the majority, but not all of, the noise and zones of high uncertainty (for example, foreshore, water bodies, areas with poor overlap). Therefore, the DEMs do not cover the same exact extent as the associated orthorectified products in the larger work citation or the original imagery available. GeoTIFFs are cloud-optimized.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Horizontal accuracy is affected by the source data and photogrammetry processing and difficult to quantitatively test. One control point (GCP 34; 0.037-meter xy accuracy) and post-processed kinematic (PPK) camera positions (Kranenburg and others, 2022a; 2022b; 2022c; 2022d) were used to create the final SFM products. The horizontal (x,y) error of control point GCP 34 after batch co-alignment and error reduction in the Metashape project (see processing steps) was 0.040,-0.048 m. These values do not represent the absolute horizontal georeferencing accuracy of the product but provide a better sense of the overall accuracy. Due to the nature of the in-place GCPs being difficult to distinguish in the orthoimages at their published resolution, no further horizontal accuracy assessment was done with them. A qualitative analysis of gridded first-return lidar data at stable points (OCM Partners, 2018; 2019) supports these base horizontal accuracy estimates.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
Only 1 ground control point (GCP 34; 0.043-meter z accuracy; Brown and others, 2021) and the post-processed kinematic (PPK) camera positions (Kranenburg and others, 2022a; 2022b; 2022c; 2022d) were used in the photogrammetry processing to create the final products. The vertical positional accuracy was independently evaluated, outside of Metashape, against 33 of the 34 Brown and others (2021) in-place GCPs within the extent of the Oregon Inlet to Hatteras Inlet DEM. Note that this is separate from the GCP and DEM adjustment detailed in Processing Step 7. These GCP vertical positions were compared to the corrected raster elevations using bilinear interpolation at each GPS point to derive the root-mean-square error (RMSE) (0.109 meters) and MAE (0.075 meters) of the DEM. The “corrected” mean-error (vertical bias) of the GCP measurements relative to DEM elevations was -0.015 meters, meaning the DEM was, on average, reconstructed at a lower elevation surface than the GPS measurements. The addition of the reported vertical accuracy of the GPS measurements (0.047 meters) in quadrature results in a total vertical accuracy estimate of 0.119 meters for the Oregon Inlet to Hatteras Inlet DEM using this method. Given that the ground control points are only available within the Oregon Inlet to Hatteras Inlet DEM, we assume that all other DEMs in this release (from VA vicinity to Cape Lookout) have similar vertical non-vegetated accuracies. A qualitative analysis of gridded first return lidar data (OCM Partners 2018; 2019) supports these accuracy estimates.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Christine J Kranenburg
Originator: Andrew C Ritchie
Originator: Jenna A Brown
Originator: Jin-Si R Over
Originator: Daniel D Buscombe
Originator: Christopher R Sherwood
Originator: Jonathan A Warrick
Originator: Phillipe A Wernette
Publication_Date: 2022
Title:
Aerial imagery of the North Carolina coast: 2020-02-08 and 2020-02-09
Geospatial_Data_Presentation_Form: dataset
Publication_Information:
Publication_Place: St. Petersburg Coastal and Marine Science Center
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9ISFCVN
Type_of_Source_Media: Digital
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20200208
Single_Date/Time:
Calendar_Date: 20200209
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Aerial Imagery
Source_Contribution: The data in this release are used to make SFM products.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Christine J Kranenburg
Originator: Andrew C Ritchie
Originator: Jenna A Brown
Originator: Jin-Si R Over
Originator: Christopher R Sherwood
Originator: Jonathan A Warrick
Originator: Phillipe A Wernette
Publication_Date: 2022
Title: Aerial imagery of the North Carolina coast: 2019-10-11
Geospatial_Data_Presentation_Form: JPEG and TXT dataset
Publication_Information:
Publication_Place: St. Petersburg Coastal and Marine Science Center
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9RRSMOJ
Type_of_Source_Media: Digital
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20191011
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Aerial Imagery 4D dataset 1
Source_Contribution:
The data in this release are used in the 4D alignment Metashape SFM Batch2a process.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Christine J Kranenburg
Originator: Andrew C Ritchie
Originator: Jenna A Brown
Originator: Jin-Si R Over
Originator: Christopher R Sherwood
Originator: Jonathan A Warrick
Originator: Phillipe A Wernette
Publication_Date: 2022
Title: Aerial imagery of the North Carolina coast: 2019-11-26
Geospatial_Data_Presentation_Form: JPEG and TXT dataset
Publication_Information:
Publication_Place: St. Petersburg Coastal and Marine Science Center
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P99TL46N
Type_of_Source_Media: Digital
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20191126
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Aerial Imagery 4D dataset 2
Source_Contribution:
The data in this release are used in the 4D alignment Metashape SFM Batch2a process.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Christine J Kranenburg
Originator: Andrew C Ritchie
Originator: Jenna A Brown
Originator: Jin-Si R Over
Originator: Christopher R Sherwood
Originator: Jonathan A Warrick
Originator: Phillipe A Wernette
Publication_Date: 2022
Title:
Aerial imagery of the North Carolina coast: 2020-05-08 to 2020-05-09
Geospatial_Data_Presentation_Form: JPEG and TXT dataset
Publication_Information:
Publication_Place: St. Petersburg Coastal and Marine Science Center
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/P9OCDOYZ
Type_of_Source_Media: Digital
Source_Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20200508
Single_Date/Time:
Calendar_Date: 20200509
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Aerial Imagery 4D dataset 3
Source_Contribution:
The data in this release are used in the 4D alignment Metashape SFM Batch2a process.
Source_Information:
Source_Citation:
Citation_Information:
Originator: Jenna A. Brown
Originator: Christopher R. Sherwood
Originator: Marinna Martini
Originator: Christine J. Kranenburg
Originator: Jin-Si R. Over
Publication_Date: 2021
Title:
Ground Control Point Data from the Outer Banks, North Carolina, post-Hurricane Dorian, October 2019
Edition: 1.0
Geospatial_Data_Presentation_Form: tabular digital data
Online_Linkage: https://doi.org/10.5066/P9DVZC23
Type_of_Source_Media: Digital and/or Hardcopy
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20190924
Ending_Date: 20190925
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: Ground Control Points
Source_Contribution:
The Ground Control Points are used in the SFM process and to assess horizontal and vertical positional accuracy.
Process_Step:
Process_Description:
On a workstation (AMD Threadripper 3960X /AsRock TRX40 Creator motherboard/256GB 3000MHz RAM) using Win10x64, aerial imagery and associated positional data (Kranenburg and others 2022a; 2022b; 2022c; 2022d) and a single ground control point (Brown and others, 2021) were brought into an Agisoft Metashape Pro (v. 1.6.5) project to align in a 4D manner (see Sherwood and others, 2019). Only one ground control point, GCP 34, was used as a control point to help 'lock' in the camera positions, whereas the rest of the points were used as independent vertical check points (that is, they were not placed in Metashape). See Kranenburg and others, 2022a, for Metashape Reference Settings inputs. The additional imagery improves the horizontal and vertical accuracy, but similar products can be reproduced without them. The following steps were performed on the Metashape project in the geographic coordinate system NAD83(2011) in ellipsoid height following the general guidance of Over and others (2021): 1. Separate camera models and camera groups were created for each flight date aligned in 4D. Note that multiple imagery datasets are used in the overall processing effort to produce the end individual survey products that this metadata file covers. 2. Imagery (with positions) are aligned in 4D to create a point cloud using a 'High' alignment setting, keypoint limit of 70,000, tiepoint limit of 0, generic preselection selected, and reference preselection via source selected. The tiepoint accuracy was set to 1 pixel. 3. The resultant point cloud was filtered using one iteration of the 'Reconstruction uncertainty' filter at a level of 10, one iteration of the 'Projection accuracy' filter at a level of 3, and two iterations of the 'Reprojection accuracy' filer at a level of 0.3 (in the second iteration the 'fit additional corrections' option was turned on). With each filter, iteration points are selected, deleted, and then the camera model is optimized to refine the focal length, cx, cy, k1, k2, k3, p1, and p2 camera model coefficients. 4. Natural breaks in the final alignment product were identified based on bodies of water or the extreme northern and southern ends of a flight (see Product_Boundary_Map.jpg at https://doi.org/10.5066/P9K3TWY7). The breaks and dates of imagery in the 4D process are used for ease and speed of processing. The boundaries used for the 2020-02 dataset are the Virginia-North Carolina border vicinity to Oregon Inlet, Oregon Inlet to Hatteras Inlet, Hatteras Inlet to Ocracoke Inlet, Ocracoke Inlet to Ophelia Inlet, Ophelia Inlet to Cape Lookout.
For each region, sub-chunks were created for each mission (one or two flight-days, usually adjacent) by iteratively copying the original 4D chunk and removing all camera groups not part of a single mission. Note that this particular metadata file only covers the 2020-02 dataset. Processing took place starting in June 2021 and into February 2022, the latest processing in YYYYMM is given in the Process Date.
Source_Used_Citation_Abbreviation: Aerial Imagery
Source_Used_Citation_Abbreviation: Ground Control Points
Source_Used_Citation_Abbreviation: Aerial Imagery 4D dataset 1
Source_Used_Citation_Abbreviation: Aerial Imagery 4D dataset 2
Source_Used_Citation_Abbreviation: Aerial Imagery 4D dataset 3
Process_Date: 202202
Process_Step:
Process_Description:
From the previous process step, each 'chunk' is processed as follows to create the final DEM products for each flight date: 1. Targeted imagery sets in the aligned chunk are copied from the workstation to a new Agisoft Metashape Pro. project on the U.S Geological Survey Tallgrass high-performance computing network for processing on CPU and GPU nodes (https://www.usgs.gov/core-science-systems/sas/arc/machine-access). 2. If multiple flight dates were flown for this chunk, imagery from one date is targeted, and the rest are disabled (this is then switched for each flight date in the chunk after the final step and steps 3-6 are repeated). 3. A high quality dense point cloud is generated for the chunk with 'mild' filtering and the options to calculate point color and point confidence selected. 4. Dense point cloud is filtered using the 'Filter by Confidence' tool using the range 0-2, these points selected at this range are classified as low noise. 5. A DEM is built from the dense point cloud with interpolation disabled and without the points classified as low noise. 6. DEM is exported in NAD83(2011) UTM Zone 18N and NAVD88(m) with 1-m cell size and region boundaries rounded to the nearest 10 m interval. West and south bounds are rounded up and east and north bounds are rounded down. 7. In order to minimize elevation differences between flights in the 4D reconstruction, all DEMs were then adjusted to a common datum by adding the median signed difference between GCPs (Brown and others, 2021) and the Oregon Inlet to Hatteras Inlet DEM elevations (GCP - DEM) produced by each survey. That is, for DEMs from 2019-10-11 to 2020-05-09, differences were calculated for all GCPs and all Oregon Inlet to Hatteras Inlet DEMs and then these values were ranked, and the middle value was used (or the middle two values were averaged, for an even number of differences) to adjust each DEM in the chunk, not just the Oregon Inlet to Hatteras Inlet DEM. The median value for this 4D reconstruction was -0.03402. 8. Each adjusted DEM was then masked by a human-edited shapefile in QGIS (v. 3.2.2.) to remove high uncertainty regions. Note that the shapefiles are used as part of the workflow to produce the final product and are not provided, if this extent or shapefile needs to be used by someone else it can be recreated in a GIS setting by extracting the outline(s) of the provided raster(s), for example the raster to vector tool in QGIS. Uncertainty was visualized using a hillshade of the DEM with an elevation factor of 5 and an additional raster that highlights areas with a high standard deviation away from the adjusted DEM elevation values. The shapefiles were edited by either S. Bosse, J. Over, E. Lyons, or J. Favela. 9. Final clipped DEMs for the 2020-02 dataset are turned into cloud-optimized GeoTIFFs (COG) using gdal_translate with the following command:for %i in (.\*.tif) do gdal_translate %i .\cog\%~ni_cog.tif -of COG -stats -co BLOCKSIZE=256 -co COMPRESS=DEFLATE -co PREDICTOR=YES -co NUM_THREADS=ALL_CPUS -co BIGTIFF=YES (v. 3.1.4 accessed October 20, 2020 https://gdal.org/), where i is the name of each geoTIFF section.
Process_Date: 202204
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 18
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.999600
Longitude_of_Central_Meridian: -75.000000
Latitude_of_Projection_Origin: 0.000000
False_Easting: 500000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 1
Ordinate_Resolution: 1
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: NAD83_National_Spatial_Reference_System_2011
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222101
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Datum_Name: North American Vertical Datum of 1988
Altitude_Resolution: 0.001
Altitude_Distance_Units: meters
Altitude_Encoding_Method:
Explicit elevation coordinate included with horizontal coordinates
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label:
20200208-09_DEM_VA_to_Oregon_Inlet_NAD83_2011_UTM18N_NAVD88_1m_cog.tif
Entity_Type_Definition:
A raster dataset (Cloud-optimized GeoTIFF format) with encoded elevation values of the North Carolina coast from the vicinity of the Virginia State border to Oregon Inlet from combined data on February 8 and 9, 2020. Pixel resolution is 1-meter.
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Value
Attribute_Definition:
Surface elevation orthometric height (m) in NAVD88 using Geoid 2018
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.4028234663852886e+38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -6.180
Range_Domain_Maximum: 47.554
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label:
20200208-09_DEM_Oregon_Inlet_to_Hatteras_Inlet_NAD83_2011_UTM18N_NAVD88_1m_cog.tif
Entity_Type_Definition:
A raster dataset (Cloud-optimized GeoTIFF format) with encoded elevation values of the North Carolina coast from Oregon Inlet to Hatteras Inlet on February 8 and 9, 2020. Pixel resolution is 1-meter.
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Value
Attribute_Definition:
Surface elevation orthometric height (m) in NAVD88 using Geoid 2018
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.4028234663852886e+38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -6.488
Range_Domain_Maximum: 60.435
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label:
20200208-09_DEM_Hatteras_Inlet_to_Ocracoke_Inlet_NAD83_2011_UTM18N_NAVD88_1m_cog.tif
Entity_Type_Definition:
A raster dataset (Cloud-optimized GeoTIFF format) with encoded elevation values of the North Carolina coast from Hatteras Inlet to Ocracoke Inlet on February 8 and 9, 2020. Pixel resolution is 1-meter.
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Value
Attribute_Definition:
Surface elevation orthometric height (m) in UTM Zone 18N, NAVD88 using Geoid 2018
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.4028234663852886e+38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -1.689
Range_Domain_Maximum: 26.564
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label:
20200208-09_DEM_Ocracoke_Inlet_to_Cape_Lookout_NAD83_2011_UTM18N_NAVD88_1m_cog.tif
Entity_Type_Definition:
A raster dataset (Cloud-optimized GeoTIFF format) with encoded elevation values of the North Carolina coast from Ocracoke Inlet to Ophelia Inlet on February 8 and 9, 2020. Pixel resolution is 1-meter.
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: Value
Attribute_Definition:
Surface elevation orthometric height (m) in NAVD88 using Geoid 2018
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.4028234663852886e+38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -6.325
Range_Domain_Maximum: 46.980
Attribute_Units_of_Measure: meters
Overview_Description:
Entity_and_Attribute_Overview:
Pixels represent elevation in meters relative to NAVD88 (Geoid 18). There are four DEM 32-bit floating point cloud-optimized GeoTIFFs. The filename for each DEM is formatted as "date_product_location_to_location_CRS_resolution_cog.tif", where date is the date the images were collected (in YYYYMMDD format), product is Digital Elevation Model (DEM), location_to_location is the specific geographic location in North Carolina of the northern extent to the southern extent, CRS is the horizontal and vertical coordinate reference system used, resolution is the horizontal pixel resolution of the grid, and 'cog' denotes the product is a cloud-optimized GeoTIFF. The horizontal and vertical CRS is NAD83(2011) UTM Zone 18N and NAVD88 for all DEMs.
Entity_and_Attribute_Detail_Citation: USGS
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - Sciencebase
Contact_Address:
Address_Type: mailing address
Address: Denver Federal Center, Building 810, Mail Stop 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Country: United States
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
The four DEM deflate-compressed cloud-optimized GeoTIFFS (COGs) are available in 1-m resolution and represent the coast of North Carolina on February 8 and 9, 2020.
Distribution_Liability:
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: GeoTIFF
Format_Information_Content:
Cloud-optimized 32-bit floating point 1-m GeoTIFFs deflate compressed.
File_Decompression_Technique: none
Transfer_Size: 960
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
Data can be downloaded using the Network_Resource_Name links. The first link will begin a direct download of a zip file containing all the datasets and metadata (the transfer size in MB). The second link is to the page where you can download data files individually. The third link points to the landing page for the entire data release.
Fees: none
Metadata_Reference_Information:
Metadata_Date: 20221011
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Person: PCMSC Science Data Coordinator
Contact_Address:
Address_Type: mailing and physical
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998

This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/ScienceBase/DR_P9K3TWY7/202002_DEM_NC_metadata.html>
Generated by mp version 2.9.51 on Fri Oct 14 09:15:24 2022