USGS CoastCam at DUNEX: Intrinsic and Extrinsic Calibration Data (Camera 1)

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Frequently anticipated questions:

What does this data set describe?

Title:
USGS CoastCam at DUNEX: Intrinsic and Extrinsic Calibration Data (Camera 1)
Abstract:
Two digital video cameras were temporarily installed at the U.S. Fish and Wildlife Service (USFWS) Pea Island National Wildlife Refuge (PINWR) in North Carolina (NC), as part of the DUring Nearshore Event eXperiment (DUNEX). DUNEX was a collaborative community-led experiment that took place in the fall of 2021 along the Outer Banks of NC, with the goal of improving the understanding, observational techniques, and predictive capabilities for extreme storm processes and impacts within the coastal environment. At the USFWS PINWR site, cameras were deployed for about a month, from September 18 to October 24, 2021, during which several storms passed offshore of the site. The cameras were mounted on separate 7-meter (m) tall masts within the dune, facing northeast and offshore, in a stereo configuration with approximately 75% overlap in field of view, to measure shoreline water levels and coincident topographic beach profiles. Images were collected during daylight hours with two schemes: 1) both cameras recording at 1 Hertz (Hz) for 5 minutes (min) starting 10 min before the hour for stereo photogrammetric processing to measure topographic beach profiles, and 2) one camera recording at 2 Hz for 17 min starting at the top of the hour for producing snapshots and time-averaged image products used to measure wave runup. This metadata record is for camera 1 and includes the necessary intrinsic orientation (IO) and extrinsic orientation (EO) calibration data to utilize the imagery to make quantitative measurements. The cameras are part of a U.S. Geological Survey (USGS) research project to study the beach and nearshore environment. USGS researchers utilize the imagery collected from these cameras to remotely sense a range of information including shoreline position, sandbar migration, wave runup on the beach, alongshore currents, and nearshore bathymetry. This camera is part of the USGS CoastCam network. To learn more about the DUNEX camera deployment visit, https://www.usgs.gov/centers/whcmsc/science/dunex-pea-island-experiment.
Supplemental_Information:
The bounding coordinates below represent the limits of the rectified images from the CoastCam that covers the entirety of the beach at low tide and approximately 300 m directly in line of the camera facing alongshore. The intrinsic calibration photos were taken on 20210914 and their location information is not consequential.
  1. How might this data set be cited?
    Brown, Jenna A., Palmsten, Margaret L., and Swanson, Eric, 20240726, USGS CoastCam at DUNEX: Intrinsic and Extrinsic Calibration Data (Camera 1):.

    This is part of the following larger work.

    Brown, Jenna A., Palmsten, Margaret L., and Swanson, Eric, 20240726, USGS CoastCam at DUNEX: Calibration Data: U.S. Geological Survey data release doi:10.5066/P1GDP4HR, U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -75.480462
    East_Bounding_Coordinate: -75.477045
    North_Bounding_Coordinate: 35.679847
    South_Bounding_Coordinate: 35.677189
  3. What does it look like?
    dunex_c1_calibrationIOEO_exampleImagery.zip (JPEG)
    Zip file containing the following example Joint Photographic Experts Group (JPEG) images: A) Image used in intrinsic orientation (IO) calibration (dunex_c1_20210914_IO_01.jpg) and B) Image used in extrinsic orientation (EO) calibration (dunex_c1_20210918_GCP_image_annotated.jpg) and the target numbers for use in the Coastal Imaging Research Network (CIRN) Toolbox that correspond to the numbers in the dunex_c1_20210918_EO_GCPsurvey.csv (file available in dunex_c1_20210918_EO.zip).
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 14-Sep-2021
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: tabular digital data, raster digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
    2. What coordinate system is used to represent geographic features?
      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 18
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.9996
      Longitude_of_Central_Meridian: -75.0
      Latitude_of_Projection_Origin: 0.0
      False_Easting: 500000.0
      False_Northing: 0.0
      Planar coordinates are encoded using row and column
      Abscissae (x-coordinates) are specified to the nearest 1
      Ordinates (y-coordinates) are specified to the nearest 1
      Planar coordinates are specified in meters
      The horizontal datum used is NAD83_National_Spatial_Reference_System_2011.
      The ellipsoid used is Geodetic Reference System 80.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257222101.
      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
  7. How does the data set describe geographic features?
    dunex_c1_20210914_IO.yml
    YML file containing the solved intrinsic orientation (IO) from step A in the Camera Calibration procedures outlined in Bruder and Brodie (2020) (Source: USGS)
    NU
    number of pixel columns (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:4096
    Maximum:4096
    Units:pixel
    NV
    number of pixel rows (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:3000
    Maximum:3000
    Units:pixel
    coU
    U component of principal point (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:2058.48
    Maximum:2058.48
    Units:pixel
    coV
    V component of principal point (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:1486.96
    Maximum:1486.96
    Units:pixel
    fx
    x component of focal length (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:2355.135493016106
    Maximum:2355.135493016106
    Units:pixels
    fy
    y component of focal length (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:2355.687845320302
    Maximum:2355.687845320302
    Units:pixels
    d1
    First radial distortion coefficient (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:0.000110104735017
    Maximum:0.000110104735017
    d2
    Second radial distortion coefficient (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:-0.066597863285444
    Maximum:-0.066597863285444
    d3
    Third radial distortion coefficient (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:0.017656127961799
    Maximum:0.017656127961799
    t1
    First tangential distortion coefficient (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:-0.000547829905514
    Maximum:-0.000547829905514
    t2
    Second tangential distortion coefficient (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:-0.001684004918424
    Maximum:-0.001684004918424
    dunex_c1_20210918_EO_GCPsurvey.csv
    CSV file containing the location (x,y,z) of the ground control points (black and white targets) in the CoastCam field of view. (Source: USGS)
    GCP
    Number of each GCP that can be found in dunex_c1_20210918_GCP_image_annotated.jpg so that targets can be labeled correctly in Step B of Camera Calibration steps in Bruder and Brodie (2020). (Source: U.S. Geological Survey)
    Range of values
    Minimum:1
    Maximum:8
    ID
    Name of GCP, corresponding to ‘Attributes’ name in published survey data (Over and others, 2022), also found in the annotated image (dunex_c1_20210918_GCP_image_annotated.jpg) so that targets can be labeled correctly in Step B of Camera Calibration steps in Bruder and Brodie (2020). (Source: U.S. Geological Survey) Letter-number combination describing unique GCPs.
    Easting (NAD83, UTM 18N)
    RTK X-coordinates in NAD83(2011)/UTM Zone 18N. (Source: U.S. Geological Survey)
    Range of values
    Minimum:456531.009
    Maximum:456577.011
    Units:meters
    Northing (NAD83, UTM 18N)
    RTK Y-coordinates in NAD83(2011)/UTM Zone 18N. (Source: U.S. Geological Survey)
    Range of values
    Minimum:3948255.464
    Maximum:3948361.240
    Units:meters
    Elevation (NAVD88, orthometric)
    RTK Z-coordinates in NAD83(2011)/UTM Zone 18N referenced to NAVD88. A positive Z value is the up direction. (Source: U.S. Geological Survey)
    Range of values
    Minimum:1.4840
    Maximum:6.7103
    Units:meters
    Latitude (NAD83)
    Latitude (decimal degrees) in NAD83(2011) (Source: U.S. Geological Survey)
    Range of values
    Minimum:35.677228
    Maximum:35.678181
    Units:decimal degrees
    Longitude (NAD83)
    Longitude (decimal degrees) in NAD83(2011) (Source: U.S. Geological Survey)
    Range of values
    Minimum:-75.480354
    Maximum:-75.479846
    Units:decimal degrees
    Elevation (NAD83, ellipsoidal)
    RTK Z-coordinates in NAD83(2011)/UTM Zone 18N referenced to GRS80, in meters. A positive Z value is the up direction. (Source: U.S. Geological Survey)
    Range of values
    Minimum:-37.3615
    Maximum:-32.1347
    Units:meters
    gcpUsed
    Indicates whether GCP was used to solve for extrinsic orientation. (Source: U.S. Geological Survey)
    ValueDefinition
    1Used
    Description
    Location of each ground control point (GCP) placed within the camera's field of view (FOV) to solve for extrinsic orientation. (Source: U.S. Geological Survey) Details about the GCP locations within the camera's FOV
    dunex_c1_20210918_EO.yml
    YML file containing the solved extrinsic orientation (EO) from Step C in the Camera Calibration procedures outlined in Bruder and Brodie (2020). (Source: USGS)
    x
    camera X-coordinate, Easting in NAD83(2011)/UTM Zone 18N of camera position. (Source: U.S. Geological Survey)
    Range of values
    Minimum:456537.6494
    Maximum:456537.6494
    Units:meters
    y
    camera Y-coordinate, Northing in NAD83(2011)/UTM Zone 18N of camera position. (Source: U.S. Geological Survey)
    Range of values
    Minimum:3948251.2523
    Maximum:3948251.2523
    Units:meters
    z
    camera Z-coordinate, elevation referenced to NAVD88, GEOID12B. (Source: U.S. Geological Survey)
    Range of values
    Minimum:14.1330
    Maximum:14.1330
    Units:meters
    azimuth
    The horizontal direction the camera is pointing and positive clockwise (CW) from World Y Axis. (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:36.8953
    Maximum:36.8953
    Units:Angle units in degrees
    tilt
    The up/down tilt of the camera. 0 is the camera looking nadir, 90 is the camera looking at the horizon right side up, and 180 is looking directly up. (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:61.4788
    Maximum:61.4788
    Units:Angle units in degrees
    roll
    The rotation around a horizontal axis going through the length of the lens of the camera. 0 degrees is a horizontal flat camera. Looking from behind the camera, counterclockwise (CCW) rotation of the camera would result in a positive roll. (Source: Bruder and Brodie (2020))
    Range of values
    Minimum:-1.0509
    Maximum:-1.0509
    Units:Angle units in degrees
    Entity_and_Attribute_Overview:
    There are a total of 19 intrinsic orientation (IO) JPEG images. The filename for each IO image is formatted as "dunex_c1_20210914_IO_##", where the number (##) is the original photo ID. There are 2 extrinsic orientation (EO) JPEG images (dunex_c1_20210918_GCP_image_raw.jpg and dunex_c1_20210918_GCP_image_annotated.jpg). These images have EXIF and other imagery header information encoded within each file, see the process steps for more information.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.
    Entity_and_Attribute_Overview:
    To place the photos taken by the CoastCam into real world coordinates and to rectify them into a planar view, objects within the field of view of the camera must be located. The elevation and position of the lenses in the CoastCam setup were estimated by surveying the legs of the camera tower with RTK GPS, computing the mean horizontal position and mean elevation, and adding the tower height. The CoastCam took pictures of the position of each target within the camera view. The 'dunex_c1_20210918_EO' zip folder contains the GCP CSV file, the resultant EO parameters in a YML file, and 'raw' and 'annotated' images showing all the GCPs. The CSV file (dunex_c1_20210918_EO_GCPsurvey.csv) with all the measurements were populated and GCP numbers were hand labeled on the annotated images (dunex_c1_20210918_GCP_image_annotated.jpg) so that the targets could be labeled correctly in Step B of the Camera Calibration steps in Bruder and Brodie (2020). The 2 JPEG images have EXIF and other imagery header information encoded within each file, see the process steps for more information.
    Entity_and_Attribute_Detail_Citation:
    The entity and attribute information were generated by the individual and/or agency identified as the originator of the dataset. Please review the rest of the metadata record for additional details and information.

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Jenna A. Brown
    • Margaret L. Palmsten
    • Eric Swanson
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    Jenna A. Brown
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Physical Scientist
    600 4th Street South
    Saint Petersburg, FL
    USA

    727-502-8000 (voice)
    jennabrown@usgs.gov

Why was the data set created?

These data can be utilized to produce orthorectified products that can be viewed in a geographic information system (GIS) or other software to identify topographic and shallow-water bathymetric features. See the image processing toolbox developed by Bruder and Brodie (2020) for more information. To ensure that USGS-St. Petersburg data management protocols were followed, a USGS field activity number (FAN) was assigned for this survey; 2021-340-FA. Additional information about this FAN is available on the Coastal and Marine Geoscience Data System (CMGDS): https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-340-FA.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: 14-Sep-2021 (process 1 of 4)
    The CoastCam (camera 1) was used to take IO photos. This involved laying a printed checkerboard with 2.7-centimeter (cm) squares flat and keeping it stationary, then moving the camera to take images of the checkerboard in various parts of the camera’s field of view. An example image can be found in dunex_c1_calibrationIOEO_exampleImagery.zip. There are a total of 19 IO images (dunex_c1_20210914_IO.zip) used for the intrinsic calibration (Bouguet, 2022). These were used in step A in the Camera Calibration procedures outlined in Bruder and Brodie (2020). The resultant parameters are stored in a YML file located in dunex_c1_20210914_IO.zip. Image file naming format follows “dunex_c1_20210914_IO_##”, where dunex is the site name, c1 is the camera name, 20210914 is the date the images were taken (YYYYMMDD format), IO is Intrinsic Orientation, and ## is the image number out of 19 used in the IO calibration process. Person who carried out this activity:
    Jenna A. Brown
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Physical Scientist
    600 4th Street South
    Saint Petersburg, FL
    USA

    727-502-8000 (voice)
    jennabrown@usgs.gov
    Data sources produced in this process:
    • dunex_c1_20210914_IO_##.jpg
    • dunex_c1_20210914_IO.yml
    Date: 29-Feb-2024 (process 2 of 4)
    EO calibration GCPs were computed from published survey data (Over and others, 2022). GCPs were collected on 20210918. To place the photos taken by the CoastCam into real world coordinates and to rectify them into a planar view, objects within the field of view of the camera must be located. To do so, the elevation and position of the camera lenses in the CoastCam setup were measured with the RTK GPS. Then, multiple stationary targets were spread through the camera field of view to be used as GCPs, and the location of each was measured with the RTK GPS equipment. The GCPs consisted of large square targets, divided into quadrants and colored white and black, and were either made of fabric and laid flat on the ground (center point on ground was surveyed) or made of wood and propped up to face the CoastCam (bottom-center, between black and white at ground level, was surveyed). When all GCPs were in place, a snapshot was taken with the camera (dunex_c1_20210918_GCP_image_raw.jpg). The survey locations of the GCPs in the CSV file were used to hand label the raw image to generate an annotated image (dunex_c1_20210918_GCP_image_annotated.jpg) so that the targets could be labeled correctly in Step B of the Camera Calibration steps in Bruder and Brodie (2020). The pixel coordinates of each GCP within the raw image (hand-selected), solved in Step B of Bruder and Brodie (2020), the GPS positions from the CSV file, and the IO parameters in the IO YML file were used in Step C of the Camera Calibration steps in Bruder and Brodie (2020) to solve for the EO parameters. The resultant parameters for the EO calibration are stored in a YML file located in “dunex_c1_20210918_EO.zip”. Person who carried out this activity:
    Jenna A. Brown
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Physical Scientist
    600 4th Street South
    Saint Petersburg, FL
    USA

    727-502-8000 (voice)
    jennabrown@usgs.gov
    Data sources used in this process:
    • dunex_c1_20210914_IO.yml
    • dunex_c1_20210918_EO_GCPsurvey.csv
    • dunex_c1_20210918_GCP_image_raw.jpg
    Data sources produced in this process:
    • dunex_c1_20210918_GCP_image_annotated.jpg
    • dunex_c1_20210918_EO.yml
    Date: 10-May-2024 (process 3 of 4)
    All intrinsic calibration images were given additional information required by the USGS to the exchangeable image file format (EXIF) and other imagery headers using PyExifTool Python library (https://pypi.org/project/PyExifTool/, version: 0.5.6). The following describes the Python dictionary object used, with each entry in the dictionary being a tag-value pair: tags = { 'Copyright': 'Public Domain', 'CopyrightNotice': 'Public Domain - please credit U.S. Geological Survey', 'Artist': 'USGS SPCMSC', 'Make': 'FLIR', 'Model': 'FLIR BFS-PGE-122S6C-C','UserComment': UserComment, 'GPSLatitude': '35.677189', 'GPSLongitude': '-75.480280', 'GPSMapDatum': 'EPSG:6347 (NAD83_National_Spatial_Reference_System_2011)', 'GPSLatitudeRef': 'N', 'GPSLongitudeRef': 'W', 'Credit': 'U.S. Geological Survey', 'Contact': 'gs-g-spcmsc_data_inquiries@usgs.gov', 'UsageTerms': "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", 'AttributionURL': 'https://doi.org/10.5066/P1GDP4HR', 'Contributor': 'Jenna A. Brown, Margaret L. Palmsten, Eric Swanson', 'XMP-photoshop:Credit': 'U.S. Geological Survey', 'iptcCore:CreatorWorkEmail': 'gs-g-spcmsc_data_inquiries@usgs.gov','Rights': 'Public Domain', ‘ExternalMetadataLink:’, "https://www1.usgs.gov/pir/api/identifiers/USGS:874c9b09-e69e-4d71-a4f3-165573139d24", 'Keywords' : "Pea Island National Wildlife Refuge, Outer Banks, North Carolina", 'ImageDescription': 'This image was captured from a stationary mounted camera at Pea Island National Wildlife Refuge, North Carolina. Field Activity Number: 2021-340-FA (https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-340-FA).’, 'Description': ‘This image was captured from a stationary mounted camera at Pea Island National Wildlife Refuge, North Carolina. Field Activity Number: 2021-340-FA (https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-340-FA).’}. The UserComment EXIF metadata field was used to store the camera intrinsics and extrinsics in the image metadata. The UserComment has a nested dictionary structure. The highest-level dictionary contains two nested dictionaries as well as a note explaining the structure of the UserComment field. One nested dictionary contains the actual intrinsic and extrinsic data variables. The other nested dictionary contains text descriptions for each of the variables in the dictionary of data variables. To read out the imagery header information to a CSV file the command is: 'exiftool -csv *.jpg > allheaders.csv'. Specific tags may be specified with this command, if preferred. Person who carried out this activity:
    Jenna A. Brown
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Physcical Scientist
    600 4th Street South
    Saint Petersburg, FL
    USA

    727-502-8000 (voice)
    jennabrown@usgs.gov
    Data sources produced in this process:
    • dunex_c1_20210914_IO_##.jpg
    Date: 10-May-2024 (process 4 of 4)
    All extrinsic calibration ground control point images were given additional information required by the USGS to the exchangeable image file format (EXIF) and other imagery headers using PyExifTool Python library (https://pypi.org/project/PyExifTool/, version: 0.5.6). All extrinsic photos were given EXIF header information in the directory with all the photos by assigning all the tags in a Python dictionary object to each photo using PyExifTool. The following describes the Python dictionary object with each entry in the dictionary being a tag-value pair: tags = { 'Copyright': 'Public Domain', 'CopyrightNotice': 'Public Domain - please credit U.S. Geological Survey', 'Artist': 'USGS SPCMSC', 'Make': 'FLIR', 'Model': 'FLIR BFS-PGE-122S6C-C','UserComment': UserComment, 'GPSLatitude': '35.677189', 'GPSLongitude': '-75.480280', 'GPSMapDatum': 'EPSG:6347 (NAD83_National_Spatial_Reference_System_2011)', 'GPSLatitudeRef': 'N', 'GPSLongitudeRef': 'W', 'Credit': 'U.S. Geological Survey', 'Contact': 'gs-g-spcmsc_data_inquiries@usgs.gov', 'UsageTerms': "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", 'AttributionURL': 'https://doi.org/10.5066/P1GDP4HR', 'Contributor': 'Jenna A. Brown, Margaret L. Palmsten, Eric Swanson', 'XMP-photoshop:Credit': 'U.S. Geological Survey', 'iptcCore:CreatorWorkEmail': 'gs-g-spcmsc_data_inquiries@usgs.gov','Rights': 'Public Domain', ‘ExternalMetadataLink:’, "https://www1.usgs.gov/pir/api/identifiers/USGS:874c9b09-e69e-4d71-a4f3-165573139d24", 'Keywords' : "Pea Island National Wildlife Refuge, Outer Banks, North Carolina", 'ImageDescription': 'This image was captured from a stationary mounted camera at Pea Island National Wildlife Refuge, North Carolina. Field Activity Number: 2021-340-FA (https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-340-FA).’, 'Description': ‘This image was captured from a stationary mounted camera at Pea Island National Wildlife Refuge, North Carolina. Field Activity Number: 2021-340-FA (https://cmgds.marine.usgs.gov/fan_info.php?fan=2021-340-FA).’}. The UserComment EXIF metadata field was used to store the camera intrinsics and extrinsics in the image metadata. The UserComment has a nested dictionary structure. The highest-level dictionary contains two nested dictionaries as well as a note explaining the structure of the UserComment field. One nested dictionary contains the actual intrinsic and extrinsic data variables. The other nested dictionary contains text descriptions for each of the variables in the dictionary of data variables. To read out the imagery header information to a CSV file the command is: 'exiftool -csv *.jpg > allheaders.csv'. Specific tags may be specified with this command, if preferred. Person who carried out this activity:
    Jenna A. Brown
    U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
    Physical Scientist
    600 4th Street South
    Saint Petersburg, FL
    USA

    727-502-8000 (voice)
    jennabrown@usgs.gov
    Data sources produced in this process:
    • dunex_c1_20210918_GCP_image_raw.jpg
    • dunex_c1_20210918_GCP_image_annotated.jpg
  3. What similar or related data should the user be aware of?
    Bruder, Brittany L., and Brodie, Katherine L., 20200909, CIRN Quantitative Coastal Imaging Toolbox: Elsevier SoftwareX, Online.

    Online Links:

    Over, Jin-Si R., Sherwood, Christopher R., Traykovski, Peter A., Brosnahan, Sandra M., Olson, Alexander J., and Randall, Noa R., 20220607, DUNEX topographic, bathymetric, and supporting GPS data collected in Pea Island National Wildlife Refuge, North Carolina 2020-2021: U.S. Geological Survey, Coastal and Marine Hazards and Resources Program, Online.

    Online Links:

    Bouguet, Jean-Yves, 20220504, Camera Calibration Toolbox for Matlab: CaltechDATA, Online.

    Online Links:

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    EO calibration ground control points (GCPs) were computed from published survey data (Over and others, 2022). Calibration success can be examined using the CIRN Quantitative Coastal Imaging Toolbox (Bruder and Brodie, 2020) where parameters azimuth, tilt, and roll have errors less than 2 degrees. Accuracy of the extrinsic calibration was also tied to the human ability to locate targets in the imagery. The camera systems were liable to move over time via wind, wear, and human interactions cleaning the camera – all of which may change the camera calibration parameters. Calibration data is stored in YML files named with the calibration date.
  2. How accurate are the geographic locations?
    Real-Time Kinematic (RTK) Global Positioning System (GPS) equipment with decimeter horizontal accuracy was used to survey ground control points (GCPs) within the camera field of view (Over and others, 2022) and used to validate the extrinsic camera calibration. The precise locations of the targets are used in the CIRN Quantitative Coastal Imaging Toolbox steps B and C (Bruder and Brodie, 2020). Horizontal coordinates are referenced to the North American Datum of 1983 (National Spatial Reference System 2011) Universal Transverse Mercator Zone 18 North (NAD83(2011)/UTM Zone 18N) coordinate system.
  3. How accurate are the heights or depths?
    RTK GPS equipment was used to survey GCPs within the camera field of view (Over and others, 2022) and used to validate the extrinsic camera calibration. The precise locations of the targets are used in the CIRN Quantitative Coastal Imaging Toolbox steps B and C (Bruder and Brodie, 2020). Vertical positions are referenced to the North American Vertical Datum of 1988 (NAVD88) coordinate system.
  4. Where are the gaps in the data? What is missing?
    All calibration images and surveyed GCPs are provided even if not all are necessary for calibrating the camera.
  5. How consistent are the relationships among the observations, including topology?
    The camera system installed (FLIR BFLY-PGE-12055C-C) had an extrinsic and intrinsic calibration process. The EO calibration process was completed on 20210918 and consists of a YML file of resultant EO parameters, a comma-separated values (CSV) file of GCP locations and description, and two JPEG images, one labeled as 'raw' and the other as 'annotated', showing the 8 GCP targets that were surveyed. The IO calibration process was completed on 20210914 and consists of 19 JPEG images of a checkerboard pattern that collectively covered the entire image frame, used with the Camera Calibration Toolbox (Bouguet, 2022) to solve for the intrinsic parameters and lens distortion, which are provided in a YML file of resultant IO parameters. These are used in the CIRN toolbox steps A through C to be able to georectify imagery and make quantifiable measurements.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
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.
  1. Who distributes the data set? (Distributor 1 of 1)
    USGS SPCMSC Data Management Group
    U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
    600 4th Street South
    St. Petersburg, Florida
    USA

    727-502-8000 (voice)
    gs-g-spcmsc_data_inquiries@usgs.gov
  2. What's the catalog number I need to order this data set? dunex_c1_20210914_IO.yml, dunex_c1_20210914_IO_##.jpg, dunex_c1_20210918_EO.yml, dunex_c1_20210918_EO_GCPsurvey.csv, dunex_c1_20210918_GCP_image_annotated.jpg, dunex_c1_20210918_GCP_image_raw.jpg
  3. What legal disclaimers am I supposed to read?
    This publication was prepared by an agency of the United States Government. 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. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. 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.
  4. How can I download or order the data?

Who wrote the metadata?

Dates:
Last modified: 26-Jul-2024
Metadata author:
USGS SPCMSC Data Management Group
U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
600 4th Street South
Saint Petersburg, FL
USA

727-502-8000 (voice)
gs-g-spcmsc_data_inquiries@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/spcmsc/dunex_c1_calibration_metadata.faq.html>
Generated by mp version 2.9.51 on Fri Jul 26 11:10:49 2024