Underwater Video Clip and Still Imagery for Ground Validation (GV) and Accuracy Assessment (AA) of the Florida Keys

Metadata also available as - [Outline] - [Parseable text] - [XML]

Frequently anticipated questions:


What does this data set describe?

Title:
Underwater Video Clip and Still Imagery for Ground Validation (GV) and Accuracy Assessment (AA) of the Florida Keys
Abstract:
This project is a cooperative effort between the National Ocean Service, Office of National Marine Sanctuaries, the National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment, the state of Florida, Analytical Laboratories of Hawaii, LLC., the Florida Fish and Wildlife Conservation Commission, and NOVA Southeastern University, National Coral Reef Institute. The goal of the effort is to use NOAA-developed mapping methods to produce shallow-water (<30 m) benthic habitat maps of southern Florida. The maps are generated by visual interpretation of georeferenced IKONOS and WorldView-2 satellite imagery. The underwater video clips and still images are collected to either perform ground validation (GV) of seafloor habitat features during visual interpretation of high-resolution satellite imagery and map preparation or independently assess the accuracy (AA) of the habitat map.
  1. How should this data set be cited?

    Analytical Laboratories of Hawaii (For ground validation (GV) information), NOAA National Centers for Coastal Ocean Science (for ground validation (GV) information), Florida Fish and Wildlife Conservation Commission (FWC) (for ground validation (GV) information), and NOVA Southeastern University National Coral Reef Institute (for accuracy assessment (AA) information), 2013, Underwater Video Clip and Still Imagery for Ground Validation (GV) and Accuracy Assessment (AA) of the Florida Keys: Analytical Laboratories of Hawaii (GV), NOAA National Centers for Coastal Ocean Science (GV), Florida Fish and Wildlife Conservation Commission (GV), or NOVA Southeastern University National Coral Reef Institute (AA), Kailua, Hawaii (GV), Beaufort, NC (GV), St. Petersburg, FL (GV), or Dania Beach, Florida (AA).

    Online Links:

    This is part of the following larger work.

    Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA), Biogeography Branch, 2013, Shallow-water Benthic Habitats of southern Florida: NOAA's Ocean Service, National Centers for Coastal Ocean Science (NCCOS), Silver Spring, MD.

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -83.000000
    East_Bounding_Coordinate: -80.200000
    North_Bounding_Coordinate: 25.250000
    South_Bounding_Coordinate: 24.250000

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Beginning_Date: 21-Jun-2007
    Ending_Date: Present
    Currentness_Reference: ground condition

  5. What is the general form of this data set?

    Geospatial_Data_Presentation_Form: vector and point digital data

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      This is a Vector data set. It contains the following vector data types (SDTS terminology):

      • Entity point (5398)

    2. What coordinate system is used to represent geographic features?

      Grid_Coordinate_System_Name: Universal Transverse Mercator
      Universal_Transverse_Mercator:
      UTM_Zone_Number: 17
      Transverse_Mercator:
      Scale_Factor_at_Central_Meridian: 0.999600
      Longitude_of_Central_Meridian: -81.000000
      Latitude_of_Projection_Origin: 0.000000
      False_Easting: 500000.000000
      False_Northing: 0.000000

      Planar coordinates are encoded using coordinate pair
      Abscissae (x-coordinates) are specified to the nearest 0.000064
      Ordinates (y-coordinates) are specified to the nearest 0.000064
      Planar coordinates are specified in meters

      The horizontal datum used is North American Datum of 1983.
      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 1/298.257222.

  7. How does the data set describe geographic features?

    south_Florida_GVandAA_fielddata.xls
    spreadsheet attribute table (Source: user defined)

    SITE_ID
    full name of video or still photo file. Format of SITE_ID uses the following format: xx_yyyymmdd_zzzz.aaa. The prefix <xx> indicates that file was collected as part of the accuracy assessment (AA) or ground validation (GV) activity. The <yyyymmdd> is the date on which the video or still photo was collected. The <zzzz> is the station number and a alphanumeric indicating that, if present, two or more videos or photos were collected at the station. The <aaa> indicates the output format of the data collected (mp4; JPG). (Source: User Defined)

    Character Field

    MAJ_STRUCT
    Major reef structure type (Source: Habitat classification scheme for southern Florida)

    Character Field

    DET_STRUCT
    Detailed reef structure type (Source: Habitat classification scheme for southern Florida)

    Character Field

    HAB_COVER
    A field containing a merge of PRIM_COVER and MODIFIER attributes (Source: User defined)

    Character Field

    PRIM_COVER
    Major reef cover type (Source: Habitat classification scheme for southern Florida)

    Character Field

    MODIFIER
    The percent of the PRIM_COVER. The assignment of percentage is: 1) 10%-50%; overall cover of the major biological type is estimated at 10%-50% of the polygon feature; 2) 50%-90%; overall cover of the major biological type is estimated at 50%-90% of the polygon feature; 3) 90%-100%; overall cover of the major biological type is estimated at 90%-100% of the polygon feature; 4) Not Applicable; an estimate of the percent cover is not appropriate for this major biological class; and 5) Unknown; the percent estimate of major biological cover cannot be determined due to poor visibility, water depth, or other interference that affects being able to see the seafloor. (Source: Habitat classification scheme for southern Florida)

    Character Field

    ZONE
    Geomorphologic zone (Source: Habitat classification scheme for southern Florida)

    Character Field

    RELIEF
    Vertical relief of survey area; relative scale of 1 (lowest relief) to 5 (highest relief). If data were not collected, field is filled with <not available> (Source: GPS data logger)

    Range of values
    Minimum:1
    Maximum:5

    DEPTH_FT
    Water Depth in feet (Source: GPS Data Logger or portable pinger. If data were not collected, field is filled with <9999>)

    Range of values
    Minimum:0
    Maximum:200

    GPS_DATE
    Date of station field data collection (Source: GPS data logger)

    Character field (YYYY:MM:DD)

    GPS_TIME
    Time of station field data collection (Source: GPS data logger)

    Character Field (local time EST or EDT)

    Live_Coral
    A estimate of the percent of live coral cover visible in the underwater imagery at this location. When combined with the other estimated percentages of habitat cover in the following fields, the total will equal 100 percent. If data were not collected, field is filled with <9999> (Source: estimation based on underwater image evaluation)

    Character field

    Macroalgae
    A estimate of the percent of macroalgal cover visible in the underwater imagery at this location. When combined with the other estimated percentages of habitat cover in the preceding and following fields, the total will equal 100 percent. If data were not collected, field is filled with <9999> (Source: estimation based on underwater image evaluation)

    Character field

    Seagrass
    A estimate of the percent of seagrass cover visible in the underwater imagery at this location. When combined with the other estimated percentages of habitat cover in the preceding and following fields, the total will equal 100 percent. If data were not collected, field is filled with <9999> (Source: estimation based on underwater image evaluation)

    Character field

    Coral_Alga
    A estimate of the percent of coralline algal cover visible in the underwater imagery at this location. When combined with the other estimated percentages of habitat cover in the preceding and following fields, the total will equal 100 percent. If data were not collected, field is filled with <9999> (Source: estimation based on underwater image evaluation)

    Character field

    Turf_Algae
    A estimate of the percent of turf algal cover visible in the underwater imagery at this location. When combined with the other estimated percentages of habitat cover in the preceding and following fields, the total will equal 100 percent. If data were not collected, field is filled with <9999> (Source: estimation based on underwater image evaluation)

    Character field

    Sand
    A estimate of the percent of sand cover visible in the underwater imagery at this location. When combined with the other estimated percentages of habitat cover in the preceding and following fields, the total will equal 100 percent. If data were not collected, field is filled with <9999> (Source: estimation based on underwater image evaluation)

    Character field

    Mud
    A estimate of the percent of mud cover visible in the underwater imagery at this location. When combined with the other estimated percentages of habitat cover in the preceding and following fields, the total will equal 100 percent. If data were not collected, field is filled with <9999> (Source: estimation based on underwater image evaluation)

    Character field

    Emerg_Veg
    A estimate of the percent of emergent vegetation cover visible in the underwater imagery at this location. When combined with the other estimated percentages of habitat cover in the preceding and following fields, the total will equal 100 percent. If data were not collected, field is filled with <9999> (Source: estimation based on underwater image evaluation)

    Character field

    Bare_Cover
    A estimate of the percent of bare ground cover visible in the underwater imagery at this location. When combined with the other estimated percentages of habitat cover in the preceding fields, the total will equal 100 percent. If data were not collected, field is filled with <9999> (Source: estimation based on underwater image evaluation)

    Character field

    PNT_TYPE
    A text description of the type of underwater imagery collected at the ground validation or accuracy assessment sampling location. (Source: User Defined)

    Character field

    NORTHING
    Geographic position in meters UTM Zone 17 (Source: GIS output)

    Numerical field

    EASTING
    Geographic position in meters UTM Zone 17 (Source: GIS output)

    Numerical field

    Latitude
    Geographic position of latitude in decimal degrees (Source: GIS output)

    Numerical field

    Longitude
    Geographic position of longitude in decimal degrees (Source: GIS output)

    Numerical field

    P_CORAL_CV
    The percent of live coral coverage on hardbottom features at the observed (i.e., diver) scale rather than at the habitat delineation scale. The assignment of percentage is: 1) 0%-10%; live coral cover of less than 10% of hardbottom substrate at a scale several meters above the seafloor; 2) 10%-50%; live coral cover between 10%-50% of hardbottom substrate at a scale several meters above the seafloor; 3) 50%-90%; live coral cover between 50%-90% of hardbottom substrate at a scale several meters above the seafloor; 4) 90%-100%; live coral cover between 90%-100% of hardbottom substrate at a scale several meters above the seafloor; 5) Not Applicable; an estimate of live coral cover is not appropriate for this feature; and 6) Unknown; a percent live coral cover estimate cannot be determined due to poor water clarity, water depth, or other factors affecting seafloor visibility. (Source: Habitat classification scheme for southern Florida GIS output)

    Character field

    ID_ROOT
    full name of video or still photo file shown in SITE_ID without the file format suffix. (Source: User Defined)

    Character Field

    UNIQUEID
    A unique number consisting of an 8-digit number string with each position in the string corresponding to a specific map habitat type. The UNIQUEID number is constructed using the AABCCDEF signature. The numbers in the AA positions refer to the ZONE categories. The number in the B position refers to the MAJ_STRUCT categories. The numbers in the CC positions refer to the DET_STRUCT categories. The number in the D position refers to the PRIM_COVER categories. The number in the E position refers to MODIFIER categories. The number in the F position refers to the P_CORAL_CV categories. (Source: estimation based on underwater image evaluation)

    Numerical field


Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

  3. To whom should users address questions about the data?

    National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of National Marine Sanctuaries (ONMS)
    Mapping Project Manager
    1305 East West Highway
    Silver Spring, MD 20910

    301-713-7283 (voice)
    301-713-0404 (FAX)
    Steve.Rohmann@noaa.gov

    Hours_of_Service: 0800 - 1700, Monday to Friday, EST


Why was the data set created?

The National Ocean Service is digitally mapping southern Florida shallow-water coral reef ecosystems to support research, monitoring, and management activities. The underwater video and still imagery provided by NOS are being provided to support these activities, support visual interpretation of satellite imagery for mapping, and independently assess the accuracy of the habitat map.


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: 2012 (process 1 of 1)
    The first draft of each benthic habitat map was generated by visual interpretation and on-screen digitization of habitat boundaries from remote sensing imagery, and areas where habitat determination was uncertain were identified. Waypoints in these areas were generated on the geo-referenced imagery and over laid on the draft maps in the GIS. The areas were printed and water proofed in preparation for taking them into the field. The waypoints were navigated to and occupied using the appropriate size boats. The habitat was observed and GPS data collected. One hundred GPS positions were collected at one-second intervals for each survey site. The positions were averaged to obtain a single survey point. The data were post processed for differential correction to the nearest Continuously Operating Reference Station. The general area was explored and, as needed, additional GPS positions were collected to mark transitions between habitat types of areas mapped at the level of the minimum mapping unit (MMU). The underwater video or still imagery ground validation data were overlaid on the imagery with the first draft habitat map in the GIS. The habitat polygons were edited to resolve uncertainties. These ground validation point data are provided in this thematic GIS shape file. The accuracy assessment involved using a number of statistical analyses to characterize the thematic accuracy of the benthic habitat map. Assessing the thematic accuracy of the entire map space was not feasible, so representative portions of the entire habitat were tested. Error matrices were prepared for the Major and Detailed Geomorphological Structure and Biological Cover levels of NOAA classification scheme. Overall accuracy, producers accuracy, and users accuracy were computed directly from the error matrices. Random sampling stratification ensures adequate representation of all map categories, by assigning an equal number of accuracy assessment sites to each benthic habitat map category. This caused rare map categories to be sampled at a greater rate (observations per unit area) than common map categories. The bias introduced by differential sampling rates was removed using known map marginal proportions, i.e. the relative areas of map categories. The map marginal proportions were calculated as the area of each map category divided by the total area within the accuracy assessment area boundaries. The map marginal proportions were also used in the computation of confidence intervals for the overall, producers, and users accuracies. The efficacy of the habitat map was further examined by computation of the Tau coefficient, which adjusted the overall accuracies based on the number of map categories, allowing for statistical comparison of error matrices of different sizes. As a classification metric, Tau is a measure of the improvement of the classification scheme over a random assignment of polygons to categories, bounded between -1 (0% overall accuracy for 2 map categories) and 1 (100% accuracy for any number of categories).

    Process_Contacts_Information: Contact_Information Contact_Organization_Primary Contact_Organization Analytical Laboratories of Hawaii, LLC Contact_Person Miles Anderson (deceased) Contact_Position Principal Investigator Contact_Address Address_Type mailing and physical address Address 1320 Aalapapa Dr. City Kailua State_or_Province Hawaii Postal_Code 96734 Country USA Contact_Voice_Telephone Not Available

    Contact_Organization_Primary Contact_Organization NOAA National Centers for Coastal Ocean Science Contact_Person Don Field Contact_Position Principal Investigator Contact_Address Address_Type mailing and physical address Address 101 Pivers Island Road City Beaufort State_or_Province North Carolina Postal_Code 28516 Country USA Contact_Voice_Telephone 252-728-8770 Contact_Facsimile_Telephone 252-838-0809 Contact_Electronic_Mail_Address Don.Field@noaa.gov Hours_of_Service 0800 - 1700, Monday to Friday, EST

    Contact_Organization_Primary Contact_Organization Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute Contact_Person Henry Norris Contact_Position Program Manager Contact_Address Address_Type mailing and physical address Address 100 Eighth Avenue SE City St. Petersburg State_or_Province Florida Postal_Code 33701-5020 Country USA Contact_Voice_Telephone 727-896-8626 Contact_Facsimile_Telephone 727-823-0166 Contact_Electronic_Mail_Address henry.norris@MyFWC.com Hours_of_Service 0800 - 1700, Monday to Friday, EST\

    Contact_Organization_Primary Contact_Organization National Coral Reef Institute Contact_Person Brian Walker Contact_Position Research Scientist Contact_Address Address_Type mailing and physical address Address 8000 North Ocean Drive City Dania Beach State_or_Province Florida Postal_Code 33004 Country USA Contact_Voice_Telephone (954) 262-3675 Contact_Facsimile_Telephone (954) 262-4027 Contact_Electronic_Mail_Address walkerb@nova.edu Hours_of_Service 0800 - 1700, Monday to Friday, EST

  3. What similar or related data should the user be aware of?


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

  1. How well have the observations been checked?

    The positioning of the Ground Validation (GV) sampling points was acquired using a Trimble GeoExplorer 3 with a customized data dictionary designed to reflect the NOAA Classification Scheme for Benthic Habitats of the southern Florida. Many habitat determinations were made in the field, recorded in the GPS data logger and transferred to ArcView GIS using Trimble Path Finder Office Software. Those GV files that did not have habitat determinations made in the field are identified with "Not Classified." The positioning of the Accuracy Assessment (AA) sampling points was acquired using either a Magellan Mobile Mapper CX GPS with 2 SBAS (Satellite Based Augmentation Systems) or waterproof Garmin 76CSx GPS with Wide Area Augmentation System correction. An observer categorized the video clip or still image for each site for Detailed Geomorphological Structure and Detailed Biological Cover based on the NOAA Classification Scheme.

  2. How accurate are the geographic locations?

    Point accuracy of ground validation sites was determined by three tests producing circular RMS statistic. Point GPS data were acquired by repeated occupation of a fixed point yielding a 95% sigma RMS of 5 meters compared to the position mean. Replicate GPS positions were collected after navigating to a way point by boat yielding RMS value of 5 meters. Registered monuments were occupied and replicate positions collected yielding an RMS value of 3 meters. Thus, all point features in these ground validation data are at least 95% sigma of 5 meters. Point accuracy of accuracy assessment sites was determined using GPS with a positional accuracy of 1-3 m. Because accuracy assessment points were located in a GIS using stratified random sampling procedures to ensure sufficient sites were within habitat map polygons, RMS error budgets were not required.

  3. How accurate are the heights or depths?

  4. Where are the gaps in the data? What is missing?

    During the benthic habitat map production effort, hundreds of ground validation field sites were occupied for habitat characterization. These data were included in the resulting benthic habitat map dataset as a GIS layer and the draft map was edited based on these ground validation field data. All areas where uncertainty existed on the part of the photo interpreter during habitat delineation were investigated in the field. All ground validation field data were integrated into the map products. During the independent accuracy assessment of the habitat map, hundreds of accuracy assessment field sites were occupied. These data were used determine the thematic accuracy of the habitat map at the major and detailed geomorphological structure and biological cover levels of the NOAA classification scheme.

  5. How consistent are the relationships among the observations, including topology?

    5,398 underwater video clips or still images were collected at 4,554 unique stations.

    The sites for collecting ground validation underwater video clips and still imagery were selected to specifically investigate habitat types and gradients of habitat spectral signatures and spatial extent. All areas where uncertainty existed on the part of the photo interpreter during habitat delineation were investigated in the field. Waypoints in these habitats areas were generated on the georeferenced imagery using a GIS. The waypoints were then loaded into a GPS and, using a boat, were navigated to. Underwater video clips or still imagery and exact GPS positioning were obtained. For GPS positioning, one hundred GPS positions were collected at one-second intervals. The 100 positions were averaged to determine the GPS position of each survey point. The data were post processed for differential correction. The type(s) of seafloor habitat found in the vicinity (a 10 m circumference) of each site was explored. If needed, additional underwater or still imagery and GPS positions were collected to evaluate seafloor habitat transitions for areas being mapped and in relation to the minimum mapping unit (MMU). The sites for collecting accuracy assessment underwater video clips or still imagery were determined by a GIS-based, stratified random sampling (StRS) technique. 30-40 points were randomly placed within each Detailed Biological Cover class in the map using tools in ArcGIS at a minimum distance of 30 m apart. Site locations were loaded into the GPS. A boat, kayak, or jetski was used to navigate to the site. Site positional accuracy was 1-3 m. At each site, a Sea Viewer 950 underwater color video drop camera with a Sea-trak GPS video overlay or color digital camera in an underwater housing was used to take pictures and/or video of the site. The camera was lowered to the bottom and either still images of video clips of length 30-120 seconds was collected.


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: Not for navigation

  1. Who distributes the data set? (Distributor 1 of 1)

    National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of National Marine Sanctuaries (ONMS)
    Mapping Project Manager
    1305 East West Highway
    Silver Spring, MD 20910

    301-713-7283 (voice)
    301-723-0404 (FAX)
    Steve.Rohmann@noaa.gov

    Hours_of_Service: 0800 - 1700, Monday to Friday, EST
  2. What's the catalog number I need to order this data set?

    Downloadable Data

  3. What legal disclaimers am I supposed to read?

    These data were prepared by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, make any warranty, expressed or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed in this report, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Any views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. Although all data have been used by NOAA, no warranty, expressed or implied, is made by NOAA as to the accuracy of the data and/or related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by NOAA in the use of these data or related materials.

  4. How can I download or order the data?

  5. Is there some other way to get the data?

    Contact NOAA for distribution options (see Distributor).


Who wrote the metadata?

Dates:
Last modified: 12-Aug-2013
Last Reviewed: 12-Aug-2013
Metadata author:
National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office of National Marine Sanctuaries (ONMS)
Mapping Project Manager
1305 East West Highway
Silver Spring, Maryland 20910

301-713-7283 (voice)
301-723-0404 (FAX)
Steve.Rohmann@noaa.gov

Hours_of_Service: 0800 - 1700, Monday to Friday, EST
Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)


Generated by mp version 2.9.13 on Thu Dec 18 10:44:29 2014