Identification_Information:
  Citation:
    Citation_Information:
      Originator: Julie C. Bernier
      Publication_Date: 20251219
      Title: Coastal Land-Cover Data Derived from Landsat Collection 2 Data, Northern Chandeleur Islands, Louisiana
      Edition: 1.0
      Geospatial_Data_Presentation_Form: Raster and tabular digital data
      Larger_Work_Citation:
        Citation_Information:
          Originator: Julie C. Bernier
          Originator: Breanna N. Williams
          Originator: Jennifer L. Miselis
          Publication_Date: 20210921
          Title: Coastal Land-Cover and Feature Datasets Derived from Landsat Satellite Imagery, Northern Chandeleur Islands, Louisiana
          Edition: 2.0
          Series_Information:
            Series_Name: U.S. Geological Survey data release
            Issue_Identification: doi:10.5066/P9HY3HOR
          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/P9HY3HOR
  Description:
    Abstract: This data release serves as an archive of coastal land-cover and feature datasets derived from Landsat satellite imagery at the northern Chandeleur Islands, Louisiana. To minimize effects of tidal water-level variations, only images that were collected within 2 hours of predicted low tide or that were collected on a rising tide with predicted water levels less than mean sea level at time of image acquisition were analyzed. Water, bare earth (sand), vegetated, and intertidal land-cover classes were mapped from Hewes Point to Palos Island using successive thresholding and masking of the modified normalized difference water index (mNDWI), the normalized difference bare land index (NBLI), and the normalized difference vegetation index (NDVI). Vector shoreline, sand, and vegetated feature extents were extracted for each image by contouring the spectral indices using the calculated threshold values. Barrier platform, beach, and vegetated widths were calculated from the intersection of the shoreline, sand, and vegetated vectors with transects spaced 300 meters (m) (10 pixels) apart alongshore. These data can be used to evaluate decadal-scale barrier landscape changes (Bernier and others, 2021).
    Purpose: Dissemination of thematic raster data representing land-cover classes derived from 13 Landsat 6 and Landsat 9 Operational Land Imager (OLI) image datasets from the northern Chandeleur Islands, Louisiana.
    Supplemental_Information: Information about the Landsat missions, sensor and band specifications, data products (including Collection 1 versus Collection 2 processing), and data access can be found at https://www.usgs.gov/landsat-missions.
  Time_Period_of_Content:
    Time_Period_Information:
      Multiple_Dates/Times:
        Single_Date/Time:
          Calendar_Date: 20171222
        Single_Date/Time:
          Calendar_Date: 20190110
        Single_Date/Time:
          Calendar_Date: 20190416
        Single_Date/Time:
          Calendar_Date: 20200402
        Single_Date/Time:
          Calendar_Date: 20210115
        Single_Date/Time:
          Calendar_Date: 20210405
        Single_Date/Time:
          Calendar_Date: 20211201
        Single_Date/Time:
          Calendar_Date: 20220331
        Single_Date/Time:
          Calendar_Date: 20230105
        Single_Date/Time:
          Calendar_Date: 20230206
        Single_Date/Time:
          Calendar_Date: 20230214
        Single_Date/Time:
          Calendar_Date: 20230222
        Single_Date/Time:
          Calendar_Date: 20230403
        Single_Date/Time:
          Calendar_Date: 20230918
        Single_Date/Time:
          Calendar_Date: 20231028
        Single_Date/Time:
          Calendar_Date: 20231231
        Single_Date/Time:
          Calendar_Date: 20240225
        Single_Date/Time:
          Calendar_Date: 20240405
        Single_Date/Time:
          Calendar_Date: 20241115
    Currentness_Reference: ground condition
  Status:
    Progress: Complete
    Maintenance_and_Update_Frequency: None planned
  Spatial_Domain:
    Bounding_Coordinates:
      West_Bounding_Coordinate: -88.932712
      East_Bounding_Coordinate: -88.742256
      North_Bounding_Coordinate: 30.097824
      South_Bounding_Coordinate: 29.720211
  Keywords:
    Theme:
      Theme_Keyword_Thesaurus: USGS Metadata Identifier
      Theme_Keyword: USGS:2c5f9544-1eda-49ed-969b-9ab9a8b0ac98
    Theme:
      Theme_Keyword_Thesaurus: ISO 19115 Topic Category
      Theme_Keyword: geoscientificInformation
      Theme_Keyword: imageryBaseMapsEarthCover
    Theme:
      Theme_Keyword_Thesaurus: USGS Thesaurus
      Theme_Keyword: geomorphology
      Theme_Keyword: geospatial datasets
      Theme_Keyword: image collections
      Theme_Keyword: multispectral imaging
      Theme_Keyword: coastal ecosystems
      Theme_Keyword: land use and land cover
    Theme:
      Theme_Keyword_Thesaurus: None
      Theme_Keyword: Landsat
      Theme_Keyword: barrier island
      Theme_Keyword: spectral indices
      Theme_Keyword: Otsu thresholding
      Theme_Keyword: land cover
      Theme_Keyword: water
      Theme_Keyword: bare earth
      Theme_Keyword: sand
      Theme_Keyword: vegetated
      Theme_Keyword: intertidal
    Place:
      Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
      Place_Keyword: State of Louisiana
      Place_Keyword: Chandeleur Islands
      Place_Keyword: Gulf of America
    Place:
      Place_Keyword_Thesaurus: None
      Place_Keyword: Gulf of Mexico
  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_Organization_Primary:
        Contact_Organization: U.S. Geological Survey
        Contact_Person: Julie C. Bernier
      Contact_Position: Geologist
      Contact_Address:
        Address_Type: Mailing and physical
        Address: 600 4th Street South
        City: St. Petersburg
        State_or_Province: FL
        Postal_Code: 33701
        Country: USA
      Contact_Voice_Telephone: 727-502-8000
      Contact_Electronic_Mail_Address: jbernier@usgs.gov
  Data_Set_Credit: U.S. Geological Survey, Coastal and Marine Hazards and Resources Program, St. Petersburg Coastal and Marine Science Center (SPCMSC). Funding and (or) support for this analysis were provided as part of the Extending Government Funding and Delivering Emergency Assistance Act (Public Law 117-43), enacted on September 30, 2021. This document was improved by scientific and metadata reviews by Sydney Nick and Tess Rivenbark-Terrano (USGS SPCMSC).
  Native_Data_Set_Environment: Microsoft Windows 11 Enterprise Version 23H2 (Build 2263.6199); Esri ArcGIS Pro 3.3.2; ERDAS IMAGINE 2023 Version 16.8.0 Build 2100; MATLAB R2025a Update 1 (25.1.0.2973910)
  Cross_Reference:
    Citation_Information:
      Originator: Julie C. Bernier
      Originator: Jennifer L. Miselis
      Originator: Nathaniel G. Plant
      Publication_Date: 20210921
      Title: Satellite-Derived Barrier Response and Recovery Following Natural and Anthropogenic Perturbations, Northern Chandeleur Islands, Louisiana
      Series_Information:
        Series_Name: Remote Sensing
        Issue_Identification: 13(18), 3778; Special Issue "New Insights into Ecosystem Monitoring Using Geospatial Techniques"
      Online_Linkage: https://doi.org/10.3390/rs13183779
  Cross_Reference:
    Citation_Information:
      Originator: Hanqiu Xu
      Publication_Date: 2006
      Title: Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery
      Series_Information:
        Series_Name: International Journal of Remote Sensing
        Issue_Identification: Volume 27, Issue 14
      Other_Citation_Details: Pages 3025-3033
      Online_Linkage: https://doi.org/10.1080/01431160600589179
  Cross_Reference:
    Citation_Information:
      Originator: Hui Li
      Originator: Cuizhen Wang
      Originator: Cheng Zhong
      Originator: Aijun Su
      Originator: Chengren Xiong
      Originator: Jinge Wang
      Originator: Junqi Liu
      Publication_Date: 20170307
      Title: Mapping Urban Bare Land Automatically from Landsat Imagery with a Simple Index
      Series_Information:
        Series_Name: Remote Sensing
        Issue_Identification: 9(3), 249
      Online_Linkage: https://doi.org/10.3390/rs9030249
  Cross_Reference:
    Citation_Information:
      Originator: Nobuyuki Otsu
      Publication_Date: 197901
      Title: A Threshold Selection Method from Gray-Level Histograms
      Series_Information:
        Series_Name: IEEE Transactions on Systems, Man and Cybernetics
        Issue_Identification: Volume 9, Issue 1
      Other_Citation_Details: Pages 62-66
      Online_Linkage: https://doi.org/10.1109/TSMC.1979.4310076
Data_Quality_Information:
  Attribute_Accuracy:
    Attribute_Accuracy_Report: Using the workflow described below to map land cover at the northern Chandeleur Islands from Landsat Collection 1 products acquired between 1984 and 2019, Bernier and others (2021) reported classification accuracies (>=70%) that were comparable to accuracies reported for the National Land Cover Database (NLCD).
  Logical_Consistency_Report: For each image-acquisition date, Landsat Collection 2 Analysis Ready Data (ARD) and Level-2 science products were downloaded from the USGS EarthExplorer (https://earthexplorer.usgs.gov/) and USGS Earth Resources Observation and Science (EROS) Center Science Processing Architecture (ESPA) On Demand Interface (https://espa.cr.usgs.gov/), respectively.
  Completeness_Report: 63 Landsat OLI images (Worldwide Reference System 2 [WRS-2] path 21 row 39) acquired between December 2022 and November 2024 were identified that were cloud free in the study area. To minimize the effects of water-level variations on land-cover classification, only images that were collected within 2 hours of predicted low tide or were collected on a rising tide with predicted water levels at time of acquisition less than mean sea level (National Ocean Service [NOS] Center for Operational Oceanographic Products and Services [CO-OPS] station 8760172, Chandeleur Light, LA) were analyzed. The resulting dataset consisted of 13 Landsat 8 and 6 Landsat 9 OLI images.
  Positional_Accuracy:
    Horizontal_Positional_Accuracy:
      Horizontal_Positional_Accuracy_Report: Geodetic accuracy of Landsat data products depend on the accuracy, number, and distribution of the ground control points and the resolution of the digital elevation model (DEM) used. All ARD and Level-2 science products are derived from Landsat Level-1 Precision and Terrain (L1TP) corrected data and meet pre-defined image-to-image georegistration tolerances of <= 12-meter radial root mean square error (RMSE).
  Lineage:
    Process_Step:
      Process_Description: For each image acquisition date, Landsat Collection 2 ARD top-of-atmosphere (TOA) reflectance (reflective bands) and TOA brightness temperature (BT; thermal infrared [TIR] bands) were downloaded from EarthExplorer (https://earthexplorer.usgs.gov/) and Level 2 surface reflectance-derived NDVI images were downloaded from the EROS ESPA On Demand Interface (https://espa.cr.usgs.gov/).
      Process_Date: 2025
      Process_Contact:
        Contact_Information:
          Contact_Organization_Primary:
            Contact_Organization: U.S. Geological Survey
            Contact_Person: Julie C. Bernier
          Contact_Position: Geologist
          Contact_Address:
            Address_Type: Mailing and physical
            Address: 600 4th Street South
            City: St. Petersburg
            State_or_Province: FL
            Postal_Code: 33701
            Country: USA
          Contact_Voice_Telephone: 727-502-8000
          Contact_Electronic_Mail_Address: jbernier@usgs.gov
    Process_Step:
      Process_Description: All images were batch-processed using Spatial Model Editor in ERDAS IMAGINE. The TOA and BT bands were stacked to create 9-band multispectral images and clipped to the study-area extent. From these composite images, two additional spectral indices, mNDWI (Xu, 2006) and NBLI (Li and others, 2017), were calculated.
      Process_Date: 2025
      Process_Contact:
        Contact_Information:
          Contact_Organization_Primary:
            Contact_Organization: U.S. Geological Survey
            Contact_Person: Julie C. Bernier
          Contact_Position: Geologist
          Contact_Address:
            Address_Type: Mailing and physical
            Address: 600 4th Street South
            City: St. Petersburg
            State_or_Province: FL
            Postal_Code: 33701
            Country: USA
          Contact_Voice_Telephone: 727-502-8000
          Contact_Electronic_Mail_Address: jbernier@usgs.gov
    Process_Step:
      Process_Description: Land-cover classification was performed using progressive, automatic thresholding of spectral indices. First, Otsu's method (Otsu, 1979) for automatic histogram thresholding was applied to mNDWI images to create a binary land-water raster for each image acquisition date. Second, water area was masked from NBLI and NDVI images, and Otsu's method was applied to the masked images to create binary bare earth-"unclassed" and vegetated-"unclassed" rasters, respectively. Because thresholding was applied to masked NBLI and NDVI simultaneously, some pixels along the sand-vegetation boundary were classed as both sand and vegetated in this step. These pixels were mapped as sand using the following rule: if NBLI = sand and NDVI = vegetated, then final = sand (based on visual analysis during workflow development) (Bernier and others, 2021). Next, water, bare earth (sand), and vegetated areas were masked from mNDWI images, and Otsu's method was applied to the masked mNDWI image to separate the "submerged" and "emergent" intertidal areas. Finally, the binary land-cover images were converted to thematic rasters, merged, and single-pixel "clumps" were removed using a 3x3 majority filter to create a final land-cover raster dataset. The resulting land-cover rasters use the naming convention YYYYMMDD_LC##_nchan_islp_lcr_ce.img, where YYYYMMDD denotes the image-acquisition date (4-digit year, 2-digit month, 2-digit day) and LC## denotes Landsat 8 (LC08) or Landsat 9 (LC09) image source. All steps were batch-processed using the Image Processing toolbox in MATLAB (Otsu thresholding and binary image creation) or Spatial Model Editor in ERDAS IMAGINE (spectral index masking and generation of classed land-cover rasters).
      Process_Date: 2025
      Source_Produced_Citation_Abbreviation: YYYYMMDD_LC08_nchan_islp_lcr_ce.img
      Source_Produced_Citation_Abbreviation: YYYYMMDD_LC09_nchan_islp_lcr_ce.img
      Process_Contact:
        Contact_Information:
          Contact_Organization_Primary:
            Contact_Organization: U.S. Geological Survey
            Contact_Person: Julie C. Bernier
          Contact_Position: Geologist
          Contact_Address:
            Address_Type: Mailing and physical
            Address: 600 4th Street South
            City: St. Petersburg
            State_or_Province: FL
            Postal_Code: 33701
            Country: USA
          Contact_Voice_Telephone: 727-502-8000
          Contact_Electronic_Mail_Address: jbernier@usgs.gov
    Process_Step:
      Process_Description: For 5 datasets, thresholding resulted in significant misclassification of back-barrier seagrass beds as vegetated. These were identified based on visual comparison with ancillary datasets and vegetation persistence maps, and misclassed extents were manually cleaned from the final datasets by selecting and re-classing the pixels in ERDAS IMAGINE (Bernier and others, 2021). The cleaned land-cover rasters use the naming convention YYYYMMDD_LC##_nchan_islp_lcr_ce_cl.img, where YYYYMMDD denotes the image-acquisition date (4-digit year, 2-digit month, 2-digit day) and LC## denotes Landsat 8 (LC08) or Landsat 9 (LC09) image source.
      Process_Date: 2025
      Source_Produced_Citation_Abbreviation: YYYYMMDD_LC08_nchan_islp_lcr_ce_cl.img
      Source_Produced_Citation_Abbreviation: YYYYMMDD_LC09_nchan_islp_lcr_ce_cl.img
      Process_Contact:
        Contact_Information:
          Contact_Organization_Primary:
            Contact_Organization: U.S. Geological Survey
            Contact_Person: Julie C. Bernier
          Contact_Position: Geologist
          Contact_Address:
            Address_Type: Mailing and physical
            Address: 600 4th Street South
            City: St. Petersburg
            State_or_Province: FL
            Postal_Code: 33701
            Country: USA
          Contact_Voice_Telephone: 727-502-8000
          Contact_Electronic_Mail_Address: jbernier@usgs.gov
    Process_Step:
      Process_Description: The histogram (pixel count) for each raster was exported to a text file using Spatial Model Editor in ERDAS IMAGINE, merged into a single file in MATLAB, and used to calculate the total area for each land-cover type based on the relationship 1 pixel = 30 meters x 30 meters.
      Process_Date: 2025
      Source_Produced_Citation_Abbreviation: nchan_coll2_landcover_2017_2024.csv
      Process_Contact:
        Contact_Information:
          Contact_Organization_Primary:
            Contact_Organization: U.S. Geological Survey
            Contact_Person: Julie C. Bernier
          Contact_Position: Geologist
          Contact_Address:
            Address_Type: Mailing and physical
            Address: 600 4th Street South
            City: St. Petersburg
            State_or_Province: FL
            Postal_Code: 33701
            Country: USA
          Contact_Voice_Telephone: 727-502-8000
          Contact_Electronic_Mail_Address: jbernier@usgs.gov
Spatial_Data_Organization_Information:
  Direct_Spatial_Reference_Method: Raster
  Raster_Object_Information:
    Raster_Object_Type: Grid cell
    Row_Count: 591
    Column_Count: 1386
    Vertical_Count: 1
Spatial_Reference_Information:
  Horizontal_Coordinate_System_Definition:
    Planar:
      Grid_Coordinate_System:
        Grid_Coordinate_System_Name: Universal Transverse Mercator
        Universal_Transverse_Mercator:
          UTM_Zone_Number: 16
          Transverse_Mercator:
            Scale_Factor_at_Central_Meridian: 0.9996
            Longitude_of_Central_Meridian: -87.0
            Latitude_of_Projection_Origin: 0
            False_Easting: 500000.0
            False_Northing: 0.0
      Planar_Coordinate_Information:
        Planar_Coordinate_Encoding_Method: row and column
        Coordinate_Representation:
          Abscissa_Resolution: 30
          Ordinate_Resolution: 30
        Planar_Distance_Units: Meters
    Geodetic_Model:
      Horizontal_Datum_Name: D WGS 1984
      Ellipsoid_Name: WGS 1984
      Semi-major_Axis: 6378137.0
      Denominator_of_Flattening_Ratio: 298.257223563
Entity_and_Attribute_Information:
  Detailed_Description:
    Entity_Type:
      Entity_Type_Label: nchan_coll2_landcover.zip
      Entity_Type_Definition: Zip archive containing thematic land-cover raster datasets in ERDAS IMAGINE (.img) format. Filenames use the convention YYYYMMDD_LC##_nchan_islp_lcr_ce(_cl).img as described above.
      Entity_Type_Definition_Source: USGS
    Attribute:
      Attribute_Label: OID
      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: Value
      Attribute_Definition: Land-cover class number
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: 0
          Enumerated_Domain_Value_Definition: Out - pixels outside of analysis extent
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: 1
          Enumerated_Domain_Value_Definition: Water - pixels classified as water
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: 3
          Enumerated_Domain_Value_Definition: Bare earth (sand) - pixels classified as bare earth (sand) land cover
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: 4
          Enumerated_Domain_Value_Definition: Vegetated - pixels classified as vegetated land cover
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: 11
          Enumerated_Domain_Value_Definition: Intertidal (submerged) - pixels classified as submerged intertidal areas
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: 12
          Enumerated_Domain_Value_Definition: Intertidal (emergent) - pixels classified as emergent intertidal areas
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: 14
          Enumerated_Domain_Value_Definition: Intertidal (cleaned) - pixels re-classified as intertidal (submerged) after manual cleaning of misclassed seagrass extents
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Unrepresentable_Domain: Values of 2, 5 through 10, 13, and 15 through 255 are not used to define a land-cover class but are stored by default in the 8-bit raster attribute table
    Attribute:
      Attribute_Label: Count
      Attribute_Definition: Number of pixels per land-cover class
      Attribute_Definition_Source: Hexagon Geospatial
      Attribute_Domain_Values:
        Unrepresentable_Domain: Number of pixels per land-cover class
    Attribute:
      Attribute_Label: Red
      Attribute_Definition: Red value for RGB color map
      Attribute_Definition_Source: Hexagon Geospatial
      Attribute_Domain_Values:
        Unrepresentable_Domain: Red value for RGB colormap
    Attribute:
      Attribute_Label: Green
      Attribute_Definition: Green value for RGB color map
      Attribute_Definition_Source: Hexagon Geospatial
      Attribute_Domain_Values:
        Unrepresentable_Domain: Green value for RGB colormap
    Attribute:
      Attribute_Label: Blue
      Attribute_Definition: Blue value for RGB color map
      Attribute_Definition_Source: Hexagon Geospatial
      Attribute_Domain_Values:
        Unrepresentable_Domain: Blue value for RGB colormap
    Attribute:
      Attribute_Label: Opacity
      Attribute_Definition: Opacity (on or off) of land-cover class. Values in the attribute table depend on the software used to view the data but are most commonly 0 (off) and 1 or 255 (on).
      Attribute_Definition_Source: Hexagon Geospatial
      Attribute_Domain_Values:
        Unrepresentable_Domain: Opacity (on or off) of land-cover class
    Attribute:
      Attribute_Label: Class_Name
      Attribute_Definition: Land-cover type
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: Out
          Enumerated_Domain_Value_Definition: Pixels outside of analysis extent
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: Water
          Enumerated_Domain_Value_Definition: Pixels classified as water
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: Bare earth (sand)
          Enumerated_Domain_Value_Definition: Pixels classified as bare earth (sand) land cover
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: Vegetated
          Enumerated_Domain_Value_Definition: Pixels classified as vegetated land cover
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: Intertidal (submerged)
          Enumerated_Domain_Value_Definition: Pixels classified as submerged intertidal areas
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: Intertidal (emergent)
          Enumerated_Domain_Value_Definition: Pixels classified as emergent intertidal areas
          Enumerated_Domain_Value_Definition_Source: USGS
      Attribute_Domain_Values:
        Enumerated_Domain:
          Enumerated_Domain_Value: Intertidal (cleaned)
          Enumerated_Domain_Value_Definition: Pixels re-classified as intertidal after manual cleaning of misclassed seagrass extents
          Enumerated_Domain_Value_Definition_Source: USGS
  Detailed_Description:
    Entity_Type:
      Entity_Type_Label: nchan_coll2_landcover_2017_2024.csv
      Entity_Type_Definition: Comma-separated values file detailing land-cover pixel count and total area for each image-acquisition date, contained in nchan_coll2_landcover.zip
      Entity_Type_Definition_Source: USGS
    Attribute:
      Attribute_Label: FileName
      Attribute_Definition: File name of classed land-cover raster
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Unrepresentable_Domain: Character string; YYYYMMDD_LC##_nchan_islp_lcr_ce(_cl).img
    Attribute:
      Attribute_Label: ImageDate
      Attribute_Definition: Source image-acquisition date
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Unrepresentable_Domain: Source image acquisition date written as DD-MON-YYYY (2-digit day, 3-letter month, 4-digit year)
    Attribute:
      Attribute_Label: DecYear
      Attribute_Definition: Source image-acquisition date, in decimal years
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 2017.975
          Range_Domain_Maximum: 2024.873
          Attribute_Units_of_Measure: Decimal year
          Attribute_Measurement_Resolution: 0.001
    Attribute:
      Attribute_Label: SceneID
      Attribute_Definition: Landsat Collection 2, Level 2 source data identifier downloaded from EROS ESPA
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Unrepresentable_Domain: Landsat source imagery data identifier
    Attribute:
      Attribute_Label: Water_count
      Attribute_Definition: Number of pixels classed as water
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 124105
          Range_Domain_Maximum: 137091
          Attribute_Units_of_Measure: Pixels
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: BareEarth_count
      Attribute_Definition: Number of pixels classed as bare earth (sand)
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 1350
          Range_Domain_Maximum: 3721
          Attribute_Units_of_Measure: Pixels
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: Vegetated_count
      Attribute_Definition: Number of pixels classed as vegetated
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 4220
          Range_Domain_Maximum: 8181
          Attribute_Units_of_Measure: Pixels
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: IntertidalSub_count
      Attribute_Definition: Number of pixels classed as intertidal (submerged)
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 1941
          Range_Domain_Maximum: 8827
          Attribute_Units_of_Measure: Pixels
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: IntertidalEmrg_count
      Attribute_Definition: Number of pixels classed as intertidal (emergent)
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 1363
          Range_Domain_Maximum: 6324
          Attribute_Units_of_Measure: Pixels
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: IntertidalRcl_count
      Attribute_Definition: Number of pixels re-classed as intertidal (cleaned)
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 0
          Range_Domain_Maximum: 264
          Attribute_Units_of_Measure: Pixels
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: Water_m2
      Attribute_Definition: Area classed as water, in square meters
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 111694500
          Range_Domain_Maximum: 123381900
          Attribute_Units_of_Measure: Square meters
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: BareEarth_m2
      Attribute_Definition: Area classed as bare earth (sand), in square meters
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 1215000
          Range_Domain_Maximum: 3348900
          Attribute_Units_of_Measure: Square meters
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: Vegetated_m2
      Attribute_Definition: Area classed as vegetated, in square meters
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 3798000
          Range_Domain_Maximum: 7362900
          Attribute_Units_of_Measure: Square meters
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: IntertidalSub_m2
      Attribute_Definition: Area classed as intertidal (submerged), in square meters
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 1746900
          Range_Domain_Maximum: 7944300
          Attribute_Units_of_Measure: Square meters
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: IntertidalEmrg_m2
      Attribute_Definition: Area classed as intertidal (emergent), in square meters
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 1226700
          Range_Domain_Maximum: 5691600
          Attribute_Units_of_Measure: Square meters
          Attribute_Measurement_Resolution: 1
    Attribute:
      Attribute_Label: IntertidalRcl_m2
      Attribute_Definition: Area classed as intertidal (reclassed), in square meters
      Attribute_Definition_Source: USGS
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 0
          Range_Domain_Maximum: 237600
          Attribute_Units_of_Measure: Square meters
          Attribute_Measurement_Resolution: 1
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: St. Petersburg
        State_or_Province: FL
        Postal_Code: 33701
        Country: USA
      Contact_Voice_Telephone: 727-502-8000
      Contact_Electronic_Mail_Address: gs-g-spcmsc_data_inquiries@usgs.gov
  Resource_Description: YYYYMMDD_LC08_nchan_islp_lcr_ce.img, YYYYMMDD_LC09_nchan_islp_lcr_ce.img, YYYYMMDD_LC08_nchan_islp_lcr_ce_cl.img, YYYYMMDD_LC09_nchan_islp_lcr_ce_cl.img, nchan_coll2_landcover_2017_2024.csv
  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: ERDAS IMAGINE, comma-delimited text
        Format_Information_Content: Download file contains ERDAS IMAGINE (.img) land-cover rasters and comma-separated values (.csv) text files.
      Digital_Transfer_Option:
        Online_Option:
          Computer_Contact_Information:
            Network_Address:
              Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P9HY3HOR/data/nchan_coll2_landcover.zip
    Fees: None
  Technical_Prerequisites: Raster datasets were created using ERDAS IMAGINE 2023 and can be opened using ERDAS IMAGINE 2020 or Esri ArcGIS Pro version 3.1 or higher; these data may also be viewed using free Google Earth Pro or QGIS software.
Metadata_Reference_Information:
  Metadata_Date: 20251219
  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: St. Petersburg
        State_or_Province: FL
        Postal_Code: 33701
        Country: USA
      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
  