Metadata:
  Identification_Information:
    Citation:
      Citation_Information:
        Originator: Selena A. Johnson
        Originator: Zachery W. Fehr
        Originator: Connor M. Jenkins
        Publication_Date: 20251117
        Title: Seafloor Elevation Change from 2017 to 2019 at Looe Key, Florida Keys—Impacts from Hurricane Irma
        Geospatial_Data_Presentation_Form: tabular, vector, and raster digital data
        Publication_Information:
          Publication_Place: St. Petersburg, Florida
          Publisher: U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
        Larger_Work_Citation:
          Citation_Information:
            Originator: Selena A. Johnson
            Originator: Zachery W. Fehr
            Originator: Connor M. Jenkins
            Publication_Date: 20251117
            Title: Seafloor Elevation Change From 2017 to 2019 at Looe Key, Florida Keys—Impacts from Hurricane Irma
            Series_Information:
              Series_Name: U.S. Geological Survey data release
              Issue_Identification: doi:10.5066/P16WTP6Y
            Publication_Information:
              Publication_Place: St. Petersburg, Florida
              Publisher: U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
            Online_Linkage: https://doi.org/10.5066/P16WTP6Y
    Description:
      Abstract: The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes at Looe Key Reef, Florida (FL) within a 26.59 square kilometer-area over the reef proper, and surrounding areas. USGS staff used light detection and ranging (lidar) data acquired by the National Oceanic and Atmospheric Administration (NOAA) in 2018 and 2019 (only the data from 2019 were used in analysis) following the passage of Hurricane Irma. An elevation change analysis between the 2017–2018 USGS multibeam data (Fredericks and others, 2019) and the 2019 NOAA lidar data was performed to quantify and map impacts to seafloor elevation and determine elevation and volume change statistics for eleven habitat types found at Looe Key. For more information about the methods used in this study, refer to Yates and others (2024).
      Purpose: These data were used to determine seafloor elevation and volume changes from 2017 to 2019 at Looe Key Reef.
      Supplemental_Information: The 2019 lidar data were collected by Quantum Spatial, Inc. (QSI) using three Riegl USA© systems: a Riegl VQ®-880-G+, a Riegl VQ®-880-GII, and a Riegl VQ®-880-GH. The lidar data are an ancillary product of NOAA's Coastal Mapping Program (CMP), created through a wider Integrated Ocean and Coastal Mapping initiative to increase support for multiple uses of the data.
    Time_Period_of_Content:
      Time_Period_Information:
        Range_of_Dates/Times:
          Beginning_Date: 20171214
          Ending_Date: 20190131
      Currentness_Reference: ground condition
    Status:
      Progress: Complete
      Maintenance_and_Update_Frequency: None planned
    Spatial_Domain:
      Bounding_Coordinates:
        West_Bounding_Coordinate: -81.44310
        East_Bounding_Coordinate: -81.36494
        North_Bounding_Coordinate: 24.59724
        South_Bounding_Coordinate: 24.53637
    Keywords:
      Theme:
        Theme_Keyword_Thesaurus: ISO 19115 Topic Category
        Theme_Keyword: geoscientificInformation
        Theme_Keyword: elevation
        Theme_Keyword: oceans
      Theme:
        Theme_Keyword_Thesaurus: USGS Metadata Identifier
        Theme_Keyword: USGS:a8a70efb-b312-4416-84d8-ef64124d3e5b
      Theme:
        Theme_Keyword_Thesaurus: USGS Thesaurus
        Theme_Keyword: marine geology
        Theme_Keyword: sea-floor characteristics
        Theme_Keyword: sea-level change
        Theme_Keyword: reef ecosystems
        Theme_Keyword: coelenterates
        Theme_Keyword: lidar
        Theme_Keyword: digital elevation models
      Theme:
        Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD) Earth Science
        Theme_Keyword: OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > WATER DEPTH
        Theme_Keyword: OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
        Theme_Keyword: OCEANS > COASTAL PROCESSES > CORAL REEFS
        Theme_Keyword: OCEANS > COASTAL PROCESSES > EROSION
        Theme_Keyword: OCEANS > COASTAL PROCESSES > SEA LEVEL RISE
      Theme:
        Theme_Keyword_Thesaurus: GCMD Providers
        Theme_Keyword: GOVERNMENT AGENCIES-U.S. FEDERAL AGENCIES > DOI > USGS > DOI/USGS/CMG > COASTAL AND MARINE GEOLOGY, U.S. GEOLOGICAL SURVEY, U.S. DEPARTMENT OF INTERIOR
      Theme:
        Theme_Keyword_Thesaurus: GCMD Instruments
        Theme_Keyword: EARTH REMOTE SENSING INSTRUMENTS > ACTIVE REMOTE SENSING > ALTIMETERS > LIDAR/LASER ALTIMETERS
      Place:
        Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
        Place_Keyword: Looe Key
        Place_Keyword: State of Florida
        Place_Keyword: Florida Keys
      Place:
        Place_Keyword_Thesaurus: None
        Place_Keyword: Florida Reef Tract
        Place_Keyword: Florida Keys National Marine Sanctuary
    Access_Constraints: No access constraints. Please see 'Distribution Information' for details.
    Use_Constraints: These data are marked with a Creative Commons CC0 1.0 Universal License. These data are in the public domain and do not have any use constraints. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations.
    Point_of_Contact:
      Contact_Information:
        Contact_Person_Primary:
          Contact_Person: Selena A. Johnson
          Contact_Organization: U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center
        Contact_Position: Research Physical Scientist
        Contact_Address:
          Address_Type: mailing and physical
          Address: 600 4th Street South
          City: St. Petersburg
          State_or_Province: FL
          Postal_Code: 33701
        Contact_Voice_Telephone: 727-502-8053
        Contact_Electronic_Mail_Address: selenajohnson@usgs.gov
    Native_Data_Set_Environment: Environment as of Metadata Creation: Microsoft Windows 11 Enterprise Version 23H2; ArcGIS Pro version 3.4.3; VDatum version 3.9 (https://vdatum.noaa.gov/); Blue Marble Geographics® Global Mapper version 18.2; Microsoft Excel for Microsoft 365.
    Cross_Reference:
      Citation_Information:
        Originator: Kimberly K. Yates
        Originator: Zachery W. Fehr
        Originator: Selena A. Johnson
        Originator: David G. Zawada
        Publication_Date: 20240524
        Title: Impact of Hurricane Irma on coral reef sediment redistribution at Looe Key Reef, Florida, USA
        Series_Information:
          Series_Name: Ocean Sciences
          Issue_Identification: Volume 20, Issue 3
        Publication_Information:
          Publication_Place: Online
          Publisher: European Geosciences Union
        Other_Citation_Details: pages 661-688
        Online_Linkage: https://doi.org/10.5194/os-20-661-2024
    Cross_Reference:
      Citation_Information:
        Originator: Kimberly K. Yates
        Originator: David G. Zawada
        Originator: Nathan A. Smiley
        Originator: Ginger Tiling-Range
        Publication_Date: 20170420
        Title: Divergence of seafloor elevation and sea level rise in coral reef ecosystems
        Series_Information:
          Series_Name: Biogeosciences
          Issue_Identification: Volume 14, Issue 16
        Publication_Information:
          Publication_Place: Online
          Publisher: European Geosciences Union
        Other_Citation_Details: pages 1739–1772
        Online_Linkage: https://doi.org/10.5194/bg-14-1739-2017
    Cross_Reference:
      Citation_Information:
        Originator: International Hydrographic Organization
        Publication_Date: 200802
        Title: IHO Standards for Hydrographic Surveys
        Publication_Information:
          Publication_Place: 4, quai Antoine 1er B.P. 445 - MC 98011 MONACO Cedex Principauté de Monaco
          Publisher: International Hydrographic Bureau
        Other_Citation_Details: 28 pages
        Online_Linkage: https://doi.org/10.25607/OBP-1354  
  Data_Quality_Information:
    Attribute_Accuracy:
      Attribute_Accuracy_Report: The 2017–2018 and 2019 datasets were visually compared by USGS staff in ArcGIS Pro for identification of anomalous elevations or data inconsistencies following the methods of Yates and others (2017).
    Logical_Consistency_Report: This dataset was derived from post-Hurricane Irma high-resolution lidar and multibeam DEM data. All elevation layers were georeferenced and aligned using standardized transformation methods. TIN models were generated in ArcGIS Pro to compute seafloor elevation and volume statistics. Data layers were clipped to a uniform extent to exclude “no data” values and ensure consistent spatial coverage across all layers.    
    Completeness_Report: Dataset is considered complete for the information presented, as described in the abstract. Users are advised to carefully read the rest of the metadata record and refer to Yates and others (2017) for additional details.
    Positional_Accuracy:
      Horizontal_Positional_Accuracy:
        Horizontal_Positional_Accuracy_Report: The 2017–2018 multibeam data were collected and processed in accordance with International Hydrographic Organization (IHO) Special Order standards for positioning and depth (IHO, 2008). The Total Propagated Uncertainty values associated with the multibeam data are available in Fredericks and others (2019). The 2019 lidar data have a recorded horizontal accuracy of 0.115 meters (m) at the 95% confidence level using the National Standards for Spatial Data Accuracy (NSSDA) reporting method. The NSSDA report is included in 2018-2019 NOAA NGS Topobathy Lidar DEM Hurricane Irma: Miami to Marquesas Keys, FL metadata (National Geodetic Survey, 2020).
      Vertical_Positional_Accuracy:
        Vertical_Positional_Accuracy_Report: The 2017–2018 multibeam data were collected and processed in accordance with International Hydrographic Organization (IHO) Special Order standards for positioning and depth (IHO, 2008). The Total Propagated Uncertainty values associated with the multibeam data are available in Fredericks and others (2019). The 2019 lidar data reported 0.110 m vertical accuracy at the 95% confidence level against the classified point cloud using NSSDA reporting standards. The NSSDA report is included in 2018-2019 NOAA NGS Topobathy Lidar DEM Hurricane Irma: Miami to Marquesas Keys, FL metadata (National Geodetic Survey, 2020).
    Lineage:
      Source_Information:
        Source_Citation:
          Citation_Information:
            Originator: Joseph J. Fredericks
            Originator: Billy J. Reynolds
            Originator: Andrew S. Farmer
            Originator: Kimberly K. Yates
            Originator: David G. Zawada
            Publication_Date: 20190722
            Title: Multibeam Bathymetry Data Collected in December 2017, February and March 2018 at Looe Key, the Florida Keys
            Geospatial_Data_Presentation_Form: raster digital data
            Publication_Information:
              Publication_Place: St. Petersburg, FL
              Publisher: U.S. Geological Survey
            Online_Linkage: https://doi.org/10.5066/P9P2V7L0
        Type_of_Source_Media: Digital data
        Source_Time_Period_of_Content:
          Time_Period_Information:
            Range_of_Dates/Times:
              Beginning_Date: 20171214
              Ending_Date: 20180311
          Source_Currentness_Reference: ground condition
        Source_Citation_Abbreviation: 2017–2018 multibeam data
        Source_Contribution: Source of historical elevation data used in these analyses.
      Source_Information:
        Source_Citation:
          Citation_Information:
            Originator: National Geodetic Survey
            Publication_Date: 20201002
            Title: 2018-2019 NOAA NGS Topobathy Lidar DEM Hurricane Irma: Miami to Marquesas Keys, FL
            Geospatial_Data_Presentation_Form: raster digital data
            Publication_Information:
              Publication_Place: Charleston, SC
              Publisher: National Oceanic and Atmospheric Administration Office for Coastal Management
            Online_Linkage: https://www.fisheries.noaa.gov/inport/item/63018
        Type_of_Source_Media: Digital data
        Source_Time_Period_of_Content:
          Time_Period_Information:
            Range_of_Dates/Times:
              Beginning_Date: 20190108
              Ending_Date: 20190131
          Source_Currentness_Reference: ground condition
        Source_Citation_Abbreviation: 2019 lidar data
        Source_Contribution: Source of contemporary elevation data in these analyses. Time period provided represents the range of dates that were used in analysis. The entire lidar dataset spans a larger time period.
      Source_Information:
        Source_Citation:
          Citation_Information:
            Originator: Jonathan A. Zieg
            Originator: David G. Zawada
            Publication_Date: 2021
            Title: Seafloor elevation change analysis tool
            Geospatial_Data_Presentation_Form: software
            Publication_Information:
              Publication_Place: St. Petersburg, FL
              Publisher: U.S. Geological Survey
            Online_Linkage: https://doi.org/10.5066/P9D5UUZ0
        Type_of_Source_Media: Digital data
        Source_Time_Period_of_Content:
          Time_Period_Information:
            Single_Date/Time:
              Calendar_Date: 2021
          Source_Currentness_Reference: publication date
        Source_Citation_Abbreviation: SECAT model
        Source_Contribution: Analysis tool used to calculate seafloor elevation and volume change statistics. 
      Source_Information: 
        Source_Citation:
          Citation_Information:
            Originator: Florida Fish and Wildlife Conservation Commission
            Publication_Date: 20150901
            Title: Florida's Unified Reef Map
            Edition: 2.0
            Geospatial_Data_Presentation_Form: vector digital data
            Publication_Information:
              Publication_Place: St. Petersburg, FL
              Publisher: Fish and Wildlife Research Institute
            Online_Linkage: https://myfwc.com/research/gis/fisheries/unified-reef-map/
        Type_of_Source_Media: Digital data
        Source_Time_Period_of_Content:
          Time_Period_Information:
            Single_Date/Time:
              Calendar_Date: 20150901
          Source_Currentness_Reference: publication date
        Source_Citation_Abbreviation: Unified Florida Reef Tract Map Version 2.0
        Source_Contribution: Source of habitat type designations used for this analysis. 
      Process_Step:
        Process_Description: Step 1: Seafloor elevation and volume change analyses were performed using methods from Yates and others (2017). The original 2017–2018 multibeam data were downloaded from Fredericks and others (2019). Using VDatum v.3.9, the multibeam data were transformed from their native World Geodetic System of 1984 (WGS84) horizontal datum and ellipsoid heights to the North American Datum of 1983 (NAD83 [2011]) horizontal datum and North American Vertical Datum 1988 (NAVD88) vertical datum, applying the GEOID12B model. The transformed XYZ points were loaded into Global Mapper version 18.2 and gridded using the "Create Elevation Grid from 3D Vector/Lidar Data" tool in the Analysis menu. Grid spacing was manually set to 1 m for the X- and Y-axes and the 'Elevation Grid No Data Distance Criteria' was set to 3.0. The resultant 2017_LooeKey_Multibeam_Clip DEM was exported as a Tagged Image File Format (TIFF, .tif) with the following parameters: 32-bit floating point samples, Sample Spacing of 1 m for both X- and Y-axes, Always Generate Square Pixels, LZW Compression, Generate TFW (World) File, and Generate PRJ File. The 2019 lidar data were downloaded from National Geodetic Survey (2020). The data were downloaded with the following parameters: UTM zone: Zone 17 Range 084W-078W; Horizontal Datum: NAD83; Horizontal Units: Meters; Vertical Datum: NAVD88; Vertical Units: Meters; File Format: Tiff 32-bit Float; Bin Method: TIN; Bin Size: 1.0; Bin Units: Meters; Data Classification: Bathymetric Lidar Points; Data Returns: Any Points; Ancillary Data: No Ancillary Data; and Geoid Name: GEOID12B. Using VDatum version 3.9
        Source_Used_Citation_Abbreviation: 2017–2018 multibeam data
        Source_Used_Citation_Abbreviation: 2019 lidar data
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: 2017_LooeKey_Multibeam_Clip DEM
      Process_Step:
        Process_Description: Step 2: Using ArcGIS Pro version 3.4.3, footprints of both the 2017–2018 multibeam data and 2019 lidar data were made using the "Reclassify (Spatial Analyst)" tool to replace all valid values with 1 and setting the 'No Data' value to NoData to create a raster mask of data coverage for each source dataset. The "Raster to Polygon (Conversion)" tool was then used to convert those raster files to polygon shapefiles (SHP) representing the footprints of each dataset. The intersection of these footprints was generated using the "Intersect (Analysis)" tool and using the multibeam and lidar shapefile footprints as inputs to create the intersection footprint (Intersect_footprint SHP file). Both digital elevation models (DEMs) were then clipped to the extent of the intersect footprint using the "Clip (Data Management)" tool, creating the 2017_LKR_multibeam_19lidarExtent.tif and 2019_LKR_lidar_17multibeamExtent.tif files.
        Source_Used_Citation_Abbreviation: 2017_LooeKey_Multibeam_Clip DEM
        Source_Used_Citation_Abbreviation: 2019 lidar data
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: Intersect_footprint SHP file
        Source_Produced_Citation_Abbreviation: 2017_LKR_multibeam_19lidarExtent.tif
        Source_Produced_Citation_Abbreviation: 2019_LKR_lidar_17multibeamExtent.tif
      Process_Step:
        Process_Description: Step 3: A 2-m grid was then created using the "Create Fishnet (Data Management)" tool, using the following parameters: Template extent: Intersect_footprint SHP file (created in Step 2); Cell size width: 2; Cell size height: 2; Number of Rows: left blank, Number of Columns: left blank; Geometry type: POLYLINE and box checked for 'Create Label Points'. The 2-m grid label points SHP file was clipped to the extent of the Intersect_footprint SHP file using the "Clip (Analysis)" tool by specifying the 2-m grid label points SHP file as the 'Input features' and the Intersect_footprint SHP file as the 'Clip features.' XY coordinates were added to the 2-m grid SHP file using the "Add XY Coordinates (Data Management)" tool, to create the 2m_grid point SHP file with coordinate fields POINT_X and POINT_Y in Universal Transverse Mercator (UTM) units.
        Source_Used_Citation_Abbreviation: Intersect_footprint SHP file
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: 2m_grid point SHP file
      Process_Step:
        Process_Description: Step 4: Elevation values were extracted from the 2017 and 2019 DEMs at the location of the 2-m grid points in Global Mapper. The clipped 2017 DEM and the 2-m grid shapefile were loaded into Global Mapper, and the resampling method was changed to No Resampling (Nearest Neighbor) within the "Options" menu of the DEM. The 2-m grid was then selected using the "Digitizer" tool and within the "Attributes/Style Functions" window, "Apply Elevations to Selected Feature(s)" was selected, with "Terrain Layers" as the only selected parameter. An attribute named ELEVATION was created containing the 2017 DEM values. Using the "Digitizer" tool, the "Edit Selected Features" window was selected to rename the ELEVATION attribute to ELEV2017. The same steps were repeated for the clipped 2019 DEM, creating the ELEV2019 field.
        Source_Used_Citation_Abbreviation: 2017_LKR_multibeam_19lidarExtent.tif
        Source_Used_Citation_Abbreviation: 2019_LKR_lidar_17multibeamExtent.tif
        Source_Used_Citation_Abbreviation: 2m_grid point SHP file
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: ELEV2017 field
        Source_Produced_Citation_Abbreviation: ELEV2019 field
      Process_Step:
        Process_Description: Step 5: Elevation-differences between the ELEV2017 and ELEV2019 values were calculated using the "Digitizer" tool in Global Mapper. "Calculate/Copy Attributes for Feature Selection" was selected from the "Attribute/Style Functions" window. The elevation-difference was calculated using the following parameters: “Select Existing or Create New Attribute to Assign Calculated Values”: Diff_m; “Source Attribute”: ELEV2019; “Operation”: Subtract; and “Use Attribute Value”: ELEV2017. ELEV2019 represents the modern elevation values and ELEV2017 represents the historical elevation values in this analysis. The final 2-m grid was then exported as a shapefile, 1719_LKR_IntersectPoints.shp.
        Source_Used_Citation_Abbreviation: ELEV2017 field
        Source_Used_Citation_Abbreviation: ELEV2019 field
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: LooeKey_1719_IntersectPoints.shp
      Process_Step:
        Process_Description: Step 6: Elevation change surface models were created in ArcGIS Pro using the calculated elevation-difference (Diff_m) field within the 1719_LKR_IntersectPoints.shp point shapefile. A triangular irregular networks (TIN) file was created from the Diff_m points using the "Create TIN (3D Analyst)" tool by specifying the 1719_LKR_IntersectPoints.shp shapefile as the "Input Feature Class", Diff_m as the "Height Field" and Mass_Points as the "Type", creating the 1719_LK_Diffm_TIN file. The TIN was then delineated using the "Delineate TIN Data Area (3D Analyst)" tool by specifying the 1719_LK_Diffm_TIN file as the "Input TIN", a "Maximum Edge Length" of 2.828428 (hypotenuse of a triangle with 2-m legs) and the "Method" set to ALL EDGES.
        Source_Used_Citation_Abbreviation: 1719_LKR_IntersectPoints.shp
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: 1719_LK_Diffm_TIN file
      Process_Step:
        Process_Description: Step 7: The Unified Florida Reef Tract Map Version 2.0 shapefile was downloaded from Florida Fish and Wildlife Conservation Commission (2015). Using ArcGIS Pro, the habitat shapefile was modified using the "Clip (Analysis)" tool to clip the habitat shapefile to the extent of the 2017 and 2019 DEMs by specifying the habitat shapefile as the "Input Features" and the Intersect_footprint SHP file from step 2 as the "Clip Features", creating the LK_HabMap_Clip.shp file. The shapefile was then loaded into Global Mapper and exported using the 2011 realization of NAD83 as LK_Habmap_2011_GM_Export.shp. 
        Source_Used_Citation_Abbreviation: Unified Florida Reef Tract Map Version 2.0
        Source_Used_Citation_Abbreviation: Intersect_footprint SHP file
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: LK_HabMap_Clip.shp
        Source_Produced_Citation_Abbreviation: LK_Habmap_2011_GM_Export.shp
      Process_Step:
        Process_Description: Step 8: The DEMs used in this analysis cover additional areas outside of the Unified Florida Reef Tract Map Version 2.0, so an additional polygon needed to be integrated into the shapefile. Using the "Erase (Analysis)" tool in ArcGIS Pro, the Intersect_footprint SHP file was used as the "Input Features" and the LK_HabMap_2011_GM_Export.shp file was used as the "Erase Features" creating the LK_HabMap_2011_GM_Export_UnclassifiedAdded file. The Unclassified_Polygons.shp shapefile was edited in an edit session to add the "ClassLv2" attribute and assign its value as "Unclassified.” The edit session was closed, and the changes were saved. 
        Source_Used_Citation_Abbreviation: Intersect_footprint SHP file
        Source_Used_Citation_Abbreviation: LK_Habmap_2011_GM_Export.shp
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: Unclassified_Polygons.shp
      Process_Step:
        Process_Description: Step 9: Using the "Merge (Data Management)" tool, the Unclassifed_Polygons.shp file and the LK_HabMap_2011_GM_Export.shp shapefile were used as the "Input Datasets" creating the 1719_LKR_habitat_clipped.shp file. Using the "Select by Attribute" tool, 11 individual habitat shapefiles were created from the LK_HabMap_2011_GM_Export_UnclassifiedAdded.shp file by selecting one ClassLv2 habitat and exporting it as a separate shapefile.
        Source_Used_Citation_Abbreviation: Unclassified_Polygons.shp
        Source_Used_Citation_Abbreviation: LK_HabMap_2011_GM_Export.shp
        Source_Used_Citation_Abbreviation: UR_HabMap_2011_GM_Export_UnclassifiedAdded.shp
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: 1719_LKR_habitat_clipped.shp
        Source_Produced_Citation_Abbreviation: 11 individual habitat shapefiles
      Process_Step:
        Process_Description: Step 10: Elevation change statistics were determined by habitat type from the LooeKey_1719_IntersectPoints.shp file. In ArcGIS Pro, the "Select Layer by Locations (Data Management)" tool was used to extract points within or on the boundary of a specific habitat type by using the following parameters: "Input Feature Layer": LooeKey_1719_IntersectPoints.shp; "Relationship": INTERSECT; "Selecting Features": Clipped Habitat shapefile; "Search Distance": left blank; and "Selection Type": NEW_SELECTION. An ArcGIS Pro model named Seafloor Elevation Change Analysis Tool (SECAT; Zieg and Zawada, 2021) was created to automate the process, as these steps were repeated for 11 habitat types across the extent of the study area. Elevation change statistics were compiled by habitat type into a single comma separated values (CSV) file, see 1719_LKR_Elevation_and_Volume_Statistics.zip for this file.
        Source_Used_Citation_Abbreviation: 1719_LKR _IntersectPoints.shp
        Source_Used_Citation_Abbreviation: 1719_LKR _habitat_clipped.shp
        Source_Used_Citation_Abbreviation: SECAT model
        Source_Used_Citation_Abbreviation: 11 individual habitat shapefiles
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: 1719_LKR_elevationchange.csv 
      Process_Step:
        Process_Description: Step 11: Volume change statistics per habitat type were calculated utilizing the TIN generated in Step 6. Surface volume changes were calculated using the "Surface Volume (3D Analyst)" tool in ArcGIS Pro. To calculate the net erosion lower limit, the "Reference Plane" was set to BELOW and the "Plane Height" was set to -0.19 m. For the net erosion upper limit, the "Reference Plane" was set to Below, and the "Plane Height" to 0 m. Net accretion lower and upper limits were calculated by setting the "Reference Plane" to ABOVE and the "Plane Height" to 0.19 m and 0 m for each case, respectively. The 0.19 m threshold was determined via vertical error analysis of the reported vertical uncertainties for the original 2017 multibeam (0.15 m) and 2019 lidar (0.11 m) to calculate a root mean square error (RMSE) of 0.19 m (Yates and others, 2017). The area normalized volume change lower limit was calculated by dividing the minimum net volume change for each habitat by the habitat's total area. The area normalized volume change upper limit was calculated by dividing the maximum net volume for each habitat by the habitat's total area. The SECAT model (Zieg and Zawada, 2021) was used to automate the process, as these steps were repeated for 11 habitat types. The volume statistics were compiled by habitat type into a single CSV file, see 1719_LKR_Elevation_and_Volume_Statistics.zip for this file.
        Source_Used_Citation_Abbreviation: 1719_LK_Diffm_TIN file
        Source_Used_Citation_Abbreviation: 11 individual habitat shapefiles
        Process_Date: 2023
        Source_Produced_Citation_Abbreviation: 1719_LKR_volume.csv
  Spatial_Data_Organization_Information:
    Direct_Spatial_Reference_Method: Vector
    Point_and_Vector_Object_Information:
      SDTS_Terms_Description:
        SDTS_Point_and_Vector_Object_Type: Entity point
        Point_and_Vector_Object_Count: 6668365
  Spatial_Reference_Information:
    Horizontal_Coordinate_System_Definition:
      Planar:
        Grid_Coordinate_System:
          Grid_Coordinate_System_Name: Universal Transverse Mercator
          Universal_Transverse_Mercator:
            UTM_Zone_Number: 17
            Transverse_Mercator:
              Scale_Factor_at_Central_Meridian: 0.9996
              Longitude_of_Central_Meridian: -81.0
              Latitude_of_Projection_Origin: 0.0
              False_Easting: 500000.0
              False_Northing: 0.0
        Planar_Coordinate_Information:
          Planar_Coordinate_Encoding_Method: coordinate pair
          Coordinate_Representation:
            Abscissa_Resolution: 0.6096
            Ordinate_Resolution: 0.6096
          Planar_Distance_Units: meters
      Geodetic_Model:
        Horizontal_Datum_Name: NAD83_National_Spatial_Reference_System_2011
        Ellipsoid_Name: GRS 1980
        Semi-major_Axis: 6378137.0
        Denominator_of_Flattening_Ratio: 298.257222101
  Entity_and_Attribute_Information:
    Detailed_Description:
      Entity_Type:
        Entity_Type_Label: 1719_LKR_IntersectPoints.shp
        Entity_Type_Definition: Shapefile attribute table of the elevation change points, clipped to the Looe Key study area.
        Entity_Type_Definition_Source: USGS
      Attribute:
        Attribute_Label: FID
        Attribute_Definition: Internal feature number.
        Attribute_Definition_Source: ESRI
        Attribute_Domain_Values:
          Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated.
      Attribute:
        Attribute_Label: Shape*
        Attribute_Definition: Feature geometry.
        Attribute_Definition_Source: ESRI
        Attribute_Domain_Values:
          Unrepresentable_Domain: Point
      Attribute:
        Attribute_Label: ELEV2017
        Attribute_Definition: 2017 multibeam elevations (in meters) extracted to point locations.
        Attribute_Definition_Source: USGS
        Attribute_Domain_Values:
          Range_Domain:
            Range_Domain_Minimum: -28.7481
            Range_Domain_Maximum: -1.10817
      Attribute:
        Attribute_Label: ELEV2019
        Attribute_Definition: 2019 lidar elevations (in meters) extracted to point locations.
        Attribute_Definition_Source: USGS
        Attribute_Domain_Values:
          Range_Domain:
            Range_Domain_Minimum: -28.68
            Range_Domain_Maximum: -1.02
      Attribute:
        Attribute_Label: Diff_m
        Attribute_Definition: Difference in elevation (ELEV2019 - ELEV2017) at point locations.
        Attribute_Definition_Source: USGS
        Attribute_Domain_Values:
          Range_Domain:
            Range_Domain_Minimum: -4.02007
            Range_Domain_Maximum: 4.07977
      Attribute:
        Attribute_Label: POINT_X
        Attribute_Definition: NAD83 UTM 17N easting (X) coordinate.
        Attribute_Definition_Source: USGS
        Attribute_Domain_Values:
          Range_Domain:
            Range_Domain_Minimum: 455122.5
            Range_Domain_Maximum: 461130.5
      Attribute:
        Attribute_Label: POINT_Y
        Attribute_Definition: NAD83 UTM 17N northing (Y) coordinate.
        Attribute_Definition_Source: USGS
        Attribute_Domain_Values:
          Range_Domain:
            Range_Domain_Minimum: 2713682.5
            Range_Domain_Maximum: 2715398.5
    Overview_Description:
      Entity_and_Attribute_Overview: 1719_LKR_habitat_clipped.zip: The detailed attribute descriptions for the habitat designations in the 1719_LKR_habitat_clipped shapefile are provided in the included data dictionary (DataDictionary_HabitatTypes.docx). These metadata are not complete without these files.
      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.
    Overview_Description:
      Entity_and_Attribute_Overview: 1719_LKR_Elevation_and_Volume_Statistics.zip: The detailed attribute descriptions for the elevation (1719_LKR_elevationchange.csv) and volume change (1719_LKR_volume.csv) statistics files are provided in the included data dictionaries (DataDictionary_ElevationChange.docx DataDictionary_HabitatTypes.docx, and DataDictionary_VolumeChange.docx). These metadata are not complete without these files.
      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.
    Overview_Description:
      Entity_and_Attribute_Overview: 2017_LKR_multibeam_19lidarExtent.tif: 2017 DEM (.tif) clipped to the Looe Key study area. Values range from -1.10817 m to -28.8242 m and is projected to the NAD83 (NSRS2007) UTM 17N coordinate system. The file format is a 32-bit floating point TIFF with 7925 columns and 6723 rows.
      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.
    Overview_Description:
      Entity_and_Attribute_Overview: 2019_LKR_lidar _19multibeamExtent.tif: 2019 DEM (.tif) clipped to the Looe Key study area. Values range from -1.102 m to -28.74 m and is projected to the NAD83 (NSRS2007) UTM 17N coordinate system. The file format is a 32-bit floating point TIFF with 7925 columns and 6723 rows.
      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.
  Distribution_Information:
    Distributor:
      Contact_Information:
        Contact_Organization_Primary:
          Contact_Organization: U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
          Contact_Person: USGS SPCMSC Data Management
        Contact_Address:
          Address_Type: mailing and physical
          Address: 600 4th Street South
          City: Saint Petersburg
          State_or_Province: FL
          Postal_Code: 33701
          Country: United States
        Contact_Voice_Telephone: 727-502-8000
        Contact_Electronic_Mail_Address: gs-g-spcmsc_data_inquiries@usgs.gov
    Resource_Description: 2017_LKR_multibeam_19lidarExtent.tif, 2019_LKR_lidar_17multibeamExtent.tif, 1719_LKR_habitat_clipped.shp, 1719_LKR_IntersectPoints.shp, 1719_LKR_elevationchange.csv, 1719_LKR_volume.csv, DataDictionary_ElevationChange.docx, DataDictionary_HabitatTypes.docx, DataDictionary_VolumeChange.docx
    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, firm, or product 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: comma-delimited text, shapefile, TIFF, Microsoft Word format
        Digital_Transfer_Option:
          Online_Option:
            Computer_Contact_Information:
              Network_Address:
                Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P16WTP6Y/data/2017_LKR_multibeam_19lidarExtent.zip
                Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P16WTP6Y/data/2019_LKR_lidar_17multibeamExtent.zip
                Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P16WTP6Y/data/1719_LKR_habitat_clipped.zip
                Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P16WTP6Y/data/1719_LKR_IntersectPoints.zip
                Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P16WTP6Y/data/1719_LKR_Elevation_and_Volume_Statistics.zip
      Fees: None
  Metadata_Reference_Information:
    Metadata_Date: 20251114
    Metadata_Contact:
      Contact_Information:
        Contact_Organization_Primary:
          Contact_Organization: U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center
          Contact_Person: USGS SPCMSC Data Management
        Contact_Address:
          Address_Type: mailing and physical
          Address: 600 4th Street South
          City: Saint Petersburg
          State_or_Province: FL
          Postal_Code: 33701
          Country: United States
        Contact_Voice_Telephone: 727-502-8000
        Contact_Electronic_Mail_Address: gs-g-spcmsc_data_inquiries@usgs.gov
    Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata
    Metadata_Standard_Version: FGDC-STD-001-1998
