Digital surface models of Pea Island National Wildlife Refuge DUNEX Site, North Carolina in September and October 2021

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Jin-Si R. Over
Publication_Date: 20220607
Title:
Digital surface models of Pea Island National Wildlife Refuge DUNEX Site, North Carolina in September and October 2021
Edition: 1.0
Geospatial_Data_Presentation_Form: raster digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9DPZZG2
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
Online_Linkage: https://doi.org/10.5066/P9DPZZG2
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Jin-Si R. Over
Originator: Christopher R. Sherwood
Originator: Peter A. Traykovski
Originator: Sandra M. Brosnahan
Originator: Alex J. Olson
Originator: Noa R. Randall
Publication_Date: 2022
Title:
DUNEX topographic, bathymetric, and supporting GPS data collected in Pea Island National Wildlife Refuge, North Carolina 2020-2021
Edition: 1.0
Geospatial_Data_Presentation_Form: raster digital data, tabular digital data, remote-sensing image
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9DPZZG2
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Over, J.R., Sherwood, C.R., Traykovski, P.A., Olson, A., Randall, N., and Brosnahan, S.M., 2022, DUNEX topographic, bathymetric, and supporting GPS data collected in Pea Island National Wildlife Refuge, North Carolina 2020-2021: U.S Geological Survey data release, https://doi.org/10.5066/P9DPZZG2.
Online_Linkage: https://doi.org/10.5066/P9DPZZG2
Online_Linkage:
Description:
Abstract:
The data in this part of the release are digital surface models (DSMs) that characterize the beach at the USGS DUring Nearshore Event eXperiment (DUNEX) site on Pea Island National Wildlife Refuge, NC. DUNEX is a multi-agency, academic, and non-governmental organization collaborative community experiment designed to study nearshore coastal processes during storm events. USGS participation in DUNEX will contribute new measurements and models that will increase our understanding of storm impacts to coastal environments, including hazards to humans and infrastructure and changes in landscape and natural habitats. Collected data are part of field activity 2021-029-FA and are related to field activity 2021-028-FA and 2021-032-FA. During September and October 2021, USGS and Woods Hole Oceanographic Institute (WHOI) scientists conducted multiple field surveys to collect a topobathy elevation time series. Images of the beach for use in structure from motion (SfM) were taken with a camera attached to a helium filled balloon-kite (Helikite). Agisoft Metashape (v. 1.8.1) was used to create orthomosaics (combined imagery rasters) and DSMs with the collected imagery.
Purpose:
May be used as a high-resolution elevation dataset of Pea Island for detecting change in the geomorphology over time.
Supplemental_Information:
For more information about the WHCMSC Field Activity, see https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-029-FA. Information about the DUNEX project is available at https://usgs.gov/dunex2021. The bounding coordinates below represent the maximum extents of all the surveys, no single survey covers the entire extent. The digital surface model (DSM), a type of digital elevation model (DEM), includes returns from the vegetation canopy. Geospatial software is recommended for viewing.
Time_Period_of_Content:
Time_Period_Information:
Multiple_Dates/Times:
Single_Date/Time:
Calendar_Date: 20210907
Single_Date/Time:
Calendar_Date: 20210908
Single_Date/Time:
Calendar_Date: 20210911
Single_Date/Time:
Calendar_Date: 20210919
Single_Date/Time:
Calendar_Date: 20210925
Single_Date/Time:
Calendar_Date: 20210926
Single_Date/Time:
Calendar_Date: 20211003
Single_Date/Time:
Calendar_Date: 20211012
Single_Date/Time:
Calendar_Date: 20211019
Currentness_Reference:
Ground condition: data represent nine days of collection between September 2021 and October 2021
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Not planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -75.48135278
East_Bounding_Coordinate: -75.47900784
North_Bounding_Coordinate: 35.68030119
South_Bounding_Coordinate: 35.67433935
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: geoscientificInformation
Theme_Keyword: oceans
Theme_Keyword: imageryBaseMapsEarthCover
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal/Marine Hazards and Resources Program
Theme_Keyword: CMHRP
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme_Keyword: DUNEX
Theme_Keyword: Metashape
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: remote sensing
Theme_Keyword: aerial photography
Theme_Keyword: digital elevation models
Theme_Keyword: image collections
Theme_Keyword: coastal processes
Theme_Keyword: geomorphology
Theme_Keyword: structure from motion
Theme_Keyword: topography
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:623dcdc5d34e915b67d65bc2
Place:
Place_Keyword_Thesaurus: Common geographic areas
Place_Keyword: United States
Place_Keyword: Pea Island
Place_Keyword: Dare
Place_Keyword: North Carolina
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. Although these data have been processed successfully on a computer system at the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Not for navigational use.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jin-Si R. Over
Contact_Organization:
U.S. Geological Survey, Northeast Region: Woods Hole Coastal and Marine Science Center
Contact_Address:
Address_Type: mailing and physical address
Address: U.S. Geological Survey
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Contact_Voice_Telephone: 508-548-8700 x2269
Contact_Electronic_Mail_Address: jover@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description: Example elevation shaded digital surface model of Pea Island.
Browse_Graphic_File_Type: JPEG
Native_Data_Set_Environment:
Products were processed in Agisoft Metashape (v. 1.8.1), ESRI ArcPro (v. 2.7.0), and GDAL (v. 3.1.4).
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 A. 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
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Ground control points (GCPs) were used to constrain the products – see associated metadata for details. Products were compared against each other and with collected GPS RTK data, available in the larger citation.
Logical_Consistency_Report:
All data fall into expected elevation ranges except for points near tall vegetation, areas of poorer image overlap, and just offshore of the waterline, where the returns are often sparse, noisy, and erroneous. The DSM includes returns from vegetation.
Completeness_Report:
The elevation surface was clipped in ArcPro after being exported from Metashape to remove noise near the waterline and on the edges of the product that did not reconstruct properly. The topographic surfaces have been interpolated to fill holes. GeoTIFFs are cloud optimized. Users are advised to read the rest of the metadata record carefully for additional details.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Horizontal accuracy was estimated by comparing SfM-derived GCP positions to RTK GPS measurements. Due to the time-intensive process of placing GCPs in the field, all available GCPs were used for registration and camera optimization in the SfM processing workflow during the creation of the final products. To evaluate the horizontal positional accuracy of each DSM after processing was completed, each GCP from the survey was disabled one-at-a-time using a python script to create a 'temporary check point'. With a single GCP temporarily disabled, camera optimization was performed with all lens parameters fixed, and all other GCPs enabled. The residual errors of the check point relative to its GPS-measured position were recorded. After all temporary check point iterations were complete, the horizontal root-mean-square error (RMSE) and mean-absolute error (MAE) were calculated. The resulting errors are combined with the estimated horizontal GPS uncertainty (0.010 meters) in quadrature to provide a total horizontal error estimate for each DSM (see Entity and Attribute information for individual DSM error estimates). Each survey has between 0-15 GCPs associated with the survey. The DSM without GCPs is still usable data because of the 4D alignment with the other survey dates; the matched key and tie points provide a way for the DSM to be georeferenced indirectly, and on inspection the DSM aligns. It should be noted that this error estimate is 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 (such as sand) or objects in motion resulting in poor surface reconstruction may cause localized errors in some portions of the product to exceed the estimates.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
The vertical accuracy was estimated by comparing SfM-derived GCP positions to RTK GPS measurements. Due to the time-intensive process of placing GCPs in the field, all available GCPs were used for registration and camera optimization in the SfM processing workflow during the creation of the final products. To evaluate the vertical positional accuracy of each DSM after processing was completed, each GCP from the survey was disabled one-at-a-time using a python script to create a 'temporary check point'. With a single GCP temporarily disabled, camera optimization was performed with all lens parameters fixed, and all other GCPs enabled. The residual errors of the check point relative to its GPS-measured position were recorded. After all temporary check point iterations were complete, the vertical root-mean-square error (RMSE) and mean-absolute error (MAE) were calculated. The resulting errors are combined with the estimated vertical GPS uncertainty (0.010 meters) in quadrature to provide a total horizontal error estimate for each DSM (see Entity and Attribute information for individual DSM error estimates). A second method was used to attempt to quantify the vertical errors in areas away from the GCPs. During field data collection, when vertical checkpoints on unvegetated areas were collected with an RTK GPS on the same day as a Helikite survey (available in the larger work citation), the measurements were compared to the DSM elevations at each point to derive additional accuracy estimates for the DSM and for consequent surveys. If available, the RMSE and MAE of the vertical checkpoint GPS measurements relative to the DSM elevations are recorded in the Entity and Attribute Information Section. Where vertical checkpoints are not available the reported GCP based total error does not represent the absolute vertical georeferencing accuracy of the product.
Lineage:
Process_Step:
Process_Description:
Digital Surface Model was created in Agisoft Metashape v. 1.8.1 using the following general steps (see Over and others, 2021 for a more detailed explanation of methodology): 1. Imagery (located in larger work citation) and Ground Control Points (GCPs) (located in larger work citation) were brought in using the NAD83(2011)/UTM Zone 18N NAVD88 datums. 2. GCPs were manually inspected on the images and blurry images were removed. GCPs that were moved during surveys, in less than three images, or were consistently in blurry images were made into checkpoints. 3. Accuracies for the GCPs were set to 0.01 or 0.10 m depending on the quality of the images they were in. Photos from each survey were aligned in 4D at high accuracy (the pixels are not subsampled for increased processing speed) with a keypoint limit of 40,000 and unlimited tie points. 4. Alignment uses the positions and matching pixels between images to create point clouds and put the imagery into a relative spatial context. Metashape software refined and optimized the camera positions and lens model in a least squares sense to minimize the reprojection error or the distance between the measured points and the software created points. Project supported gradual selection and optimization of: Ru = 11, Pa = 6, and Re = 0.3. Individual survey GCP and product accuracies are calculated separately and reported in the Entity and Attribute Information. Note: Only half of the photos from 10-19 aligned in the 4D chunk. They were aligned a second time in a duplicated separate chunk and because of this the final products are slightly offset from the rest of the rasters in this release. The photogrammetry still produced erroneous artifacts in the beach even with the better alignment: use with caution and see entity attributes for more details. 5. A dense point cloud was generated for each survey in a separate Metashape chunk using high quality (images are not subsampled) and a low frequency filtering algorithm. The dense point cloud was then edited to remove noise by filtering by point confidence before generating an interpolated digital elevation model (the software calls all models elevation models, but technically it is a surface model because it includes vegetation/canopy returns, a terrain model would be only bare earth returns). 6. DSM was exported at 5 cm in NAD83(2011)/UTM Zone 18N and NAVD88 (m). 7. DSM was clipped in ArcPro using a hand drawn shapefile created to remove zones of high error.
Process_Date: 202202
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jin-Si R. Over
Contact_Organization:
U.S. Geological Survey, Northeast Region: Woods Hole Coastal and Marine Science Center
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Rd.
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1258
Contact_Voice_Telephone: 508-548-8700 x2269
Contact_Electronic_Mail_Address: jover@usgs.gov
Process_Step:
Process_Description:
Final clipped DSMs were 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 -co COMPRESS=LZW -co COPY_SRC_OVERVIEWS=YES -co BIGTIFF=YES -co TILED=YES (v. 3.1.4 accessed October 20, 2020 https://gdal.org/). Where i was the name of each geoTIFF section and there is an empty folder named cog in the directory.
Process_Date: 202203
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jin-Si R. Over
Contact_Organization:
U.S. Geological Survey, Northeast Region: Woods Hole Coastal and Marine Science Center
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Country: US
Contact_Voice_Telephone: 508-458-8700x2269
Contact_Electronic_Mail_Address: jover@usgs.gov
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: -69.000000
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: 0.05
Ordinate_Resolution: 0.05
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: 2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_09-07_cog.tif
Entity_Type_Definition:
A raster DSM dataset (Cloud optimized GeoTIFF format) with encoded elevation values of the DUNEX Pea Island National Wildlife Refuge site, North Carolina on September 7, 2021. Pixel resolution is 5-cm. Accuracy of GCPs set to 0.010 m. Based off of the GCP method the total horizontal accuracy estimate is 0.028 m and the vertical accuracy estimate is 0.031 m. Using the vertical checkpoint method (n=3,081) the total vertical error is 0.073 m.
Entity_Type_Definition_Source:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
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, Woods Hole Coastal and Marine Science Center
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.402823E38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -0.130
Range_Domain_Maximum: 7.519
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label: 2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_09-08_cog.tif
Entity_Type_Definition:
A raster DSM dataset (Cloud optimized GeoTIFF format) with encoded elevation values of the DUNEX Pea Island National Wildlife Refuge site, North Carolina on September 8, 2021. Pixel resolution is 5-cm. Accuracy of GCPs set to 0.010 m. Based off of the GCP method the total horizontal accuracy estimate is 0.072 m and the vertical accuracy estimate is 0.033 m. Using the vertical checkpoint method (n=454) the total vertical error is 0.043 m.
Entity_Type_Definition_Source:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
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, Woods Hole Coastal and Marine Science Center
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.402823E38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.165
Range_Domain_Maximum: 8.752
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label: 2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_09-11_cog.tif
Entity_Type_Definition:
A raster DSM dataset (Cloud optimized GeoTIFF format) with encoded elevation values of the DUNEX Pea Island National Wildlife Refuge site, North Carolina on September 11, 2021. Pixel resolution is 5-cm. Accuracy of GCPs set to 0.010 m. Based off of the GCP method the total horizontal accuracy estimate is 0.040 m and the vertical accuracy estimate is 0.020 m.
Entity_Type_Definition_Source:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
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, Woods Hole Coastal and Marine Science Center
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.402823E38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -0.119
Range_Domain_Maximum: 9.053
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label: 2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_09-19_cog.tif
Entity_Type_Definition:
A raster DSM dataset (Cloud optimized GeoTIFF format) with encoded elevation values of the DUNEX Pea Island National Wildlife Refuge site, North Carolina on September 19, 2021. Pixel resolution is 5-cm. Accuracy of GCPs set to 0.010 m. Based off of the GCP method the total horizontal accuracy estimate is 0.021 m and the vertical accuracy estimate is 0.013 m.
Entity_Type_Definition_Source:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
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, Woods Hole Coastal and Marine Science Center
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.402823E38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -0.557
Range_Domain_Maximum: 13.824
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label: 2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_09-25_cog.tif
Entity_Type_Definition:
A raster DSM dataset (Cloud optimized GeoTIFF format) with encoded elevation values of the DUNEX Pea Island National Wildlife Refuge site, North Carolina on September 25, 2021. Pixel resolution is 5-cm. There were no GCPs in this survey, suggest using conservative 0.050 m horizontal and vertical accuracy estimates.
Entity_Type_Definition_Source:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
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, Woods Hole Coastal and Marine Science Center
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.402823E38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -0.232
Range_Domain_Maximum: 9.159
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label: 2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_09-26_cog.tif
Entity_Type_Definition:
A raster DSM dataset (Cloud optimized GeoTIFF format) with encoded elevation values of the DUNEX Pea Island National Wildlife Refuge site, North Carolina on September 26, 2021. Pixel resolution is 5-cm. Accuracy of GCPs set to 0.010 m. Based off of the GCP method the total horizontal accuracy estimate is 0.084 m and the vertical accuracy estimate is 0.053 m.
Entity_Type_Definition_Source:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
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, Woods Hole Coastal and Marine Science Center
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.402823E38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.018
Range_Domain_Maximum: 9.421
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label: 2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_10-03_cog.tif
Entity_Type_Definition:
A raster DSM dataset (Cloud optimized GeoTIFF format) with encoded elevation values of the DUNEX Pea Island National Wildlife Refuge site, North Carolina on October 3, 2021. Pixel resolution is 5-cm. Accuracy of GCPs set to 0.010 m. Based off of the GCP method the total horizontal accuracy estimate is 0.160 m and the vertical accuracy estimate is 0.720 m. Using the vertical checkpoint method (n=27) the total vertical error is 0.036 m.
Entity_Type_Definition_Source:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
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, Woods Hole Coastal and Marine Science Center
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.402823E38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.249
Range_Domain_Maximum: 7.225
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label: 2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_10-12_cog.tif
Entity_Type_Definition:
A raster DSM dataset (Cloud optimized GeoTIFF format) with encoded elevation values of the DUNEX Pea Island National Wildlife Refuge site, North Carolina on October 12, 2021. Pixel resolution is 5-cm. Accuracy of GCPs set to 0.100 m due to consistently blurry images and suspect vertical values. All GCPs were used as check points in the 4D align, total check point error estimate was 0.550 m (xyz: 0.032, 0.014, 0.559).
Entity_Type_Definition_Source:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
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, Woods Hole Coastal and Marine Science Center
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.402823E38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1.069
Range_Domain_Maximum: 8.521
Attribute_Units_of_Measure: meters
Detailed_Description:
Entity_Type:
Entity_Type_Label: 2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_10-19_cog.tif
Entity_Type_Definition:
A raster DSM dataset (Cloud optimized GeoTIFF format) with encoded elevation values of the DUNEX Pea Island National Wildlife Refuge site, North Carolina on October 19, 2021. Pixel resolution is 5-cm. Accuracy of GCPs set to 0.010 m; B22 and B33 were removed due to suspect values. Imagery not processed in 4D due to poor alignment and high GCP errors that suggest a larger problem with the specific imagery and GCP dataset. Based off of the GCP method the total horizontal accuracy estimate is 0.789 m and the vertical accuracy estimate is 5.326 m. However, on inspection with other raster products the horizontal and vertical estimate of the DSM is likely exaggerated. The vertical offset to other DSMs from this release upon further inspection is within 0.20 m on the upper beach and dune system. Use with caution.
Entity_Type_Definition_Source:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
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, Woods Hole Coastal and Marine Science Center
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: -3.402823E38
Enumerated_Domain_Value_Definition: No data
Enumerated_Domain_Value_Definition_Source: Producer-defined
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -0.713
Range_Domain_Maximum: 9.182
Attribute_Units_of_Measure: meters
Overview_Description:
Entity_and_Attribute_Overview:
Pixels represent elevation in meters relative to NAVD88. There are 9 DSM 32-bit floating point cloud optimized GeoTIFFs. The filename for each DSM is formatted as "2021029FA_PINWR_DSM_5cm_UTM18N_NAVD88_date_cog.tif", where location is Pea Island National Wildlife Refuge (PINWR), DSM is Digital Surface Model, 5cm indicates the resolution of the grid, UTM18N_NAVD88 denotes the horizontal and vertical reference systems, date is the date the images were collected (in MMDD format), and cog is cloud optimized GeoTIFF.
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 and physical address
Address: Denver Federal Center, Building 810, Mail Stop 302
City: Denver
State_or_Province: CO
Postal_Code: 80225
Contact_Voice_Telephone: 1-888- 275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
This data release includes nine 5-cm resolution LZW compressed cloud optimized GeoTIFFs.
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 for other purposes, nor on all computer systems, 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 5-cm GeoTIFFs stored with LZW compression.
File_Decompression_Technique: none
Transfer_Size: 670
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The first link is to download all the DSMs into one zip file, the second to the page with all the DSMs where they can be downloaded individually, and the third is the doi link to the landing page for the data release. All individual GeoTIFFs are between 40 and 125 MB.
Fees: none
Metadata_Reference_Information:
Metadata_Date: 20220607
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Jin-Si R. Over
Contact_Organization:
U.S. Geological Survey, Northeast Region: Woods Hole Coastal and Marine Science Center
Contact_Position: Geographer
Contact_Address:
Address_Type: mailing address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Country: US
Contact_Voice_Telephone: 508-458-8700 x2269
Contact_Electronic_Mail_Address: whsc_data_contact@usgs.gov
Contact_Instructions:
The metadata contact email address is a generic address in the event the person is no longer with USGS.
Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P9DPZZG2/DUNEX_PINWR_DSM_metadata.html>
Generated by mp version 2.9.51 on Mon Jun 27 09:45:04 2022