<?xml version="1.0" encoding="UTF-8"?>
<metadata>
  <idinfo>
    <citation>
      <citeinfo>
        <origin>Julie C. Bernier</origin>
        <origin>Breanna N. Williams</origin>
        <pubdate>20251219</pubdate>
        <title>Coastal Features Extracted from Landsat Collection 2 Data, Northern Chandeleur Islands, Louisiana</title>
        <edition>1.0</edition>
        <geoform>raster and tabular digital data</geoform>
        <lworkcit>
          <citeinfo>
            <origin>Julie C. Bernier</origin>
            <origin>Breanna N. Williams</origin>
            <origin>Jennifer L. Miselis</origin>
            <pubdate>20210921</pubdate>
            <title>Coastal Land-Cover and Feature Datasets Derived from Landsat Satellite Imagery, Northern Chandeleur Islands, Louisiana</title>
            <edition>2.0</edition>
            <serinfo>
              <sername>U.S. Geological Survey data release</sername>
              <issue>doi:10.5066/P9HY3HOR</issue>
            </serinfo>
            <pubinfo>
              <pubplace>St. Petersburg, Florida</pubplace>
              <publish>U.S. Geological Survey - St. Petersburg Coastal and Marine Science Center</publish>
            </pubinfo>
            <onlink>https://doi.org/10.5066/P9HY3HOR</onlink>
          </citeinfo>
        </lworkcit>
      </citeinfo>
    </citation>
    <descript>
      <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).</abstract>
      <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.</purpose>
      <supplinf>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.</supplinf>
    </descript>
    <timeperd>
      <timeinfo>
        <mdattim>
          <sngdate>
            <caldate>20171222</caldate>
          </sngdate>
          <sngdate>
            <caldate>20190110</caldate>
          </sngdate>
          <sngdate>
            <caldate>20190416</caldate>
          </sngdate>
          <sngdate>
            <caldate>20200402</caldate>
          </sngdate>
          <sngdate>
            <caldate>20210115</caldate>
          </sngdate>
          <sngdate>
            <caldate>20210405</caldate>
          </sngdate>
          <sngdate>
            <caldate>20211201</caldate>
          </sngdate>
          <sngdate>
            <caldate>20220331</caldate>
          </sngdate>
          <sngdate>
            <caldate>20230105</caldate>
          </sngdate>
          <sngdate>
            <caldate>20230206</caldate>
          </sngdate>
          <sngdate>
            <caldate>20230214</caldate>
          </sngdate>
          <sngdate>
            <caldate>20230222</caldate>
          </sngdate>
          <sngdate>
            <caldate>20230403</caldate>
          </sngdate>
          <sngdate>
            <caldate>20230918</caldate>
          </sngdate>
          <sngdate>
            <caldate>20231028</caldate>
          </sngdate>
          <sngdate>
            <caldate>20231231</caldate>
          </sngdate>
          <sngdate>
            <caldate>20240225</caldate>
          </sngdate>
          <sngdate>
            <caldate>20240405</caldate>
          </sngdate>
          <sngdate>
            <caldate>20241115</caldate>
          </sngdate>
        </mdattim>
      </timeinfo>
      <current>ground condition</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>None planned</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-88.932712</westbc>
        <eastbc>-88.742256</eastbc>
        <northbc>30.097824</northbc>
        <southbc>29.720211</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>USGS Metadata Identifier</themekt>
        <themekey>USGS:7fdccb63-4e71-43e4-8f21-3f5d72b2e20a</themekey>
      </theme>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>geoscientificInformation</themekey>
        <themekey>imageryBaseMapsEarthCover</themekey>
      </theme>
      <theme>
        <themekt>USGS Thesaurus</themekt>
        <themekey>geomorphology</themekey>
        <themekey>geospatial datasets</themekey>
        <themekey>image collections</themekey>
        <themekey>multispectral imaging</themekey>
        <themekey>coastal ecosystems</themekey>
        <themekey>land use and land cover</themekey>
        <themekey>contouring</themekey>
      </theme>
      <theme>
        <themekt>None</themekt>
        <themekey>Landsat</themekey>
        <themekey>barrier island</themekey>
        <themekey>spectral indices</themekey>
        <themekey>Otsu thresholding</themekey>
        <themekey>shoreline</themekey>
        <themekey>sand</themekey>
        <themekey>vegetated</themekey>
      </theme>
      <place>
        <placekt>Geographic Names Information System (GNIS)</placekt>
        <placekey>State of Louisiana</placekey>
        <placekey>Chandeleur Islands</placekey>
        <placekey>Gulf of America</placekey>
      </place>
      <place>
        <placekt>None</placekt>
        <placekey>Gulf of Mexico</placekey>
      </place>
    </keywords>
    <accconst>No access constraints. Please see 'Distribution Information' for details.</accconst>
    <useconst>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.</useconst>
    <ptcontac>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey</cntorg>
          <cntper>Julie C. Bernier</cntper>
        </cntorgp>
        <cntpos>Geologist</cntpos>
        <cntaddr>
          <addrtype>Mailing and physical</addrtype>
          <address>600 4th Street South</address>
          <city>St. Petersburg</city>
          <state>FL</state>
          <postal>33701</postal>
          <country>USA</country>
        </cntaddr>
        <cntvoice>727-502-8000</cntvoice>
        <cntemail>jbernier@usgs.gov</cntemail>
      </cntinfo>
    </ptcontac>
    <datacred>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).</datacred>
    <native>Microsoft Windows 11 Enterprise Version 23H2 (Build 2263.6199); Esri ArcGIS Pro 3.3.2; Python 3 Jupyter Notebooks; ERDAS IMAGINE 2023 Version 16.8.0 Build 2100; MATLAB R2025a Update 1 (25.1.0.2973910); RStudio Version 2025.09.2 Build 418.</native>
    <crossref>
      <citeinfo>
        <origin>Julie C. Bernier</origin>
        <origin>Jennifer L. Miselis</origin>
        <origin>Nathaniel G. Plant</origin>
        <pubdate>20210921</pubdate>
        <title>Satellite-Derived Barrier Response and Recovery Following Natural and Anthropogenic Perturbations, Northern Chandeleur Islands, Louisiana</title>
        <serinfo>
          <sername>Remote Sensing</sername>
          <issue>13(18), 3778; Special Issue "New Insights into Ecosystem Monitoring Using Geospatial Techniques"</issue>
        </serinfo>
        <onlink>https://doi.org/10.3390/rs13183779</onlink>
      </citeinfo>
    </crossref>
    <crossref>
      <citeinfo>
        <origin>Hanqiu Xu</origin>
        <pubdate>2006</pubdate>
        <title>Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery</title>
        <serinfo>
          <sername>International Journal of Remote Sensing</sername>
          <issue>Volume 27, Issue 14</issue>
        </serinfo>
        <othercit>Pages 3025-3033</othercit>
        <onlink>https://doi.org/10.1080/01431160600589179</onlink>
      </citeinfo>
    </crossref>
    <crossref>
      <citeinfo>
        <origin>Hui Li</origin>
        <origin>Cuizhen Wang</origin>
        <origin>Cheng Zhong</origin>
        <origin>Aijun Su</origin>
        <origin>Chengren Xiong</origin>
        <origin>Jinge Wang</origin>
        <origin>Junqi Liu</origin>
        <pubdate>20170307</pubdate>
        <title>Mapping Urban Bare Land Automatically from Landsat Imagery with a Simple Index</title>
        <serinfo>
          <sername>Remote Sensing</sername>
          <issue>9(3), 249</issue>
        </serinfo>
        <onlink>https://doi.org/10.3390/rs9030249</onlink>
      </citeinfo>
    </crossref>
    <crossref>
      <citeinfo>
        <origin>Nobuyuki Otsu</origin>
        <pubdate>197901</pubdate>
        <title>A Threshold Selection Method from Gray-Level Histograms</title>
        <serinfo>
          <sername>IEEE Transactions on Systems, Man and Cybernetics</sername>
          <issue>Volume 9, Issue 1</issue>
        </serinfo>
        <othercit>Pages 62-66</othercit>
        <onlink>https://doi.org/10.1109/TSMC.1979.4310076</onlink>
      </citeinfo>
    </crossref>
  </idinfo>
  <dataqual>
    <logic>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.</logic>
    <complete>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.</complete>
    <posacc>
      <horizpa>
        <horizpar>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 &lt;= 12-meter radial root mean square error (RMSE). The positional accuracy of the satellite-derived features was not systematically evaluated in this study; however, recent analyses of satellite-derived shoreline (SDS) positions extracted using similar methods to those presented here report offsets of 1/3 to 1/2 pixel (10 to 15 m) seaward of measured in-situ shoreline positions. Compared with methods that extract shoreline position from precise elevation measurements (for example, lidar or GPS surveys), SDS positions are not based on a vertical datum (for example, mean sea level or mean high water); instead, SDS positions may include intertidal areas.</horizpar>
      </horizpa>
    </posacc>
    <lineage>
      <procstep>
        <procdesc>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/).</procdesc>
        <procdate>2025</procdate>
        <proccont>
          <cntinfo>
            <cntorgp>
              <cntorg>U.S. Geological Survey</cntorg>
              <cntper>Julie C. Bernier</cntper>
            </cntorgp>
            <cntpos>Geologist</cntpos>
            <cntaddr>
              <addrtype>Mailing and physical</addrtype>
              <address>600 4th Street South</address>
              <city>St. Petersburg</city>
              <state>FL</state>
              <postal>33701</postal>
              <country>USA</country>
            </cntaddr>
            <cntvoice>727-502-8000</cntvoice>
            <cntemail>jbernier@usgs.gov</cntemail>
          </cntinfo>
        </proccont>
      </procstep>
      <procstep>
        <procdesc>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.</procdesc>
        <procdate>2025</procdate>
        <proccont>
          <cntinfo>
            <cntorgp>
              <cntorg>U.S. Geological Survey</cntorg>
              <cntper>Julie C. Bernier</cntper>
            </cntorgp>
            <cntpos>Geologist</cntpos>
            <cntaddr>
              <addrtype>Mailing and physical</addrtype>
              <address>600 4th Street South</address>
              <city>St. Petersburg</city>
              <state>FL</state>
              <postal>33701</postal>
              <country>USA</country>
            </cntaddr>
            <cntvoice>727-502-8000</cntvoice>
            <cntemail>jbernier@usgs.gov</cntemail>
          </cntinfo>
        </proccont>
      </procstep>
      <procstep>
        <procdesc>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).</procdesc>
        <procdate>2025</procdate>
        <proccont>
          <cntinfo>
            <cntorgp>
              <cntorg>U.S. Geological Survey</cntorg>
              <cntper>Julie C. Bernier</cntper>
            </cntorgp>
            <cntpos>Geologist</cntpos>
            <cntaddr>
              <addrtype>Mailing and physical</addrtype>
              <address>600 4th Street South</address>
              <city>St. Petersburg</city>
              <state>FL</state>
              <postal>33701</postal>
              <country>USA</country>
            </cntaddr>
            <cntvoice>727-502-8000</cntvoice>
            <cntemail>jbernier@usgs.gov</cntemail>
          </cntinfo>
        </proccont>
      </procstep>
      <procstep>
        <procdesc>Vector shoreline (representing the boundary between intertidal and open-water areas), sand, and vegetated extents were extracted by contouring the mNDWI and masked NBLI and NDVI images using the calculated Otsu thresholds. The resulting shapefiles (one per image acquisition date) were merged into 3 shapefiles (one each for shoreline [shrln], sand [sandext], and vegetated [vegext] feature extents). Contouring was batch-processed using Python 3 Jupyter Notebooks in ArcGIS Pro. Vector features corresponding to a minimum mapping unit of less than 4 connected pixels were excluded from the final dataset.</procdesc>
        <procdate>2025</procdate>
        <srcprod>nchan_coll2_shrln_20171222_20241115.shp</srcprod>
        <srcprod>nchan_coll2_sandext_20171222_20241115.shp</srcprod>
        <srcprod>nchan_coll2_vegext_20171222_20241115.shp</srcprod>
        <proccont>
          <cntinfo>
            <cntorgp>
              <cntorg>U.S. Geological Survey</cntorg>
              <cntper>Julie C. Bernier</cntper>
            </cntorgp>
            <cntpos>Geologist</cntpos>
            <cntaddr>
              <addrtype>Mailing and physical</addrtype>
              <address>600 4th Street South</address>
              <city>St. Petersburg</city>
              <state>FL</state>
              <postal>33701</postal>
              <country>USA</country>
            </cntaddr>
            <cntvoice>727-502-8000</cntvoice>
            <cntemail>jbernier@usgs.gov</cntemail>
          </cntinfo>
        </proccont>
      </procstep>
      <procstep>
        <procdesc>Barrier platform, beach, and vegetated widths were calculated from the intersection of the shoreline, sand, and vegetated vectors with transects spaced 300 m (10 pixels) apart alongshore. New Harbor Islands, isolated back-barrier islands that are less than 8 pixels in size, and back-barrier islands that are more than 8 pixels from the contiguous island extent were excluded from the feature metrics dataset. Transects are the same as used in Bernier and others (2021); feature intersections and along-transect widths were calculated in RStudio. Vegetated widths were not calculated along transects 56 and 57, where the oblique nature of the back-barrier marsh island, coupled with a change in baseline orientation, caused inconsistencies in delineating feature extents. Features less than 17 m wide along-transect are considered unresolvable based on the stated 12-m RMSE for Landsat L1TP products (sqrt(12^2 + 12^2) = 16.97) and were also excluded from the final dataset.</procdesc>
        <procdate>2025</procdate>
        <srcprod>nchan_perp_transects_300m.shp</srcprod>
        <srcprod>nchan_coll2_featmetrics_2017_2024.csv</srcprod>
        <proccont>
          <cntinfo>
            <cntorgp>
              <cntorg>U.S. Geological Survey</cntorg>
              <cntper>Julie C. Bernier</cntper>
            </cntorgp>
            <cntpos>Geologist</cntpos>
            <cntaddr>
              <addrtype>Mailing and physical</addrtype>
              <address>600 4th Street South</address>
              <city>St. Petersburg</city>
              <state>FL</state>
              <postal>33701</postal>
              <country>USA</country>
            </cntaddr>
            <cntvoice>727-502-8000</cntvoice>
            <cntemail>jbernier@usgs.gov</cntemail>
          </cntinfo>
        </proccont>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Vector</direct>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <gridsys>
          <gridsysn>Universal Transverse Mercator</gridsysn>
          <utm>
            <utmzone>16</utmzone>
            <transmer>
              <sfctrmer>0.9996</sfctrmer>
              <longcm>-87.0</longcm>
              <latprjo>0</latprjo>
              <feast>500000.0</feast>
              <fnorth>0.0</fnorth>
            </transmer>
          </utm>
        </gridsys>
        <planci>
          <plance>row and column</plance>
          <coordrep>
            <absres>30</absres>
            <ordres>30</ordres>
          </coordrep>
          <plandu>Meters</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>D WGS 1984</horizdn>
        <ellips>WGS 1984</ellips>
        <semiaxis>6378137.0</semiaxis>
        <denflat>298.257223563</denflat>
      </geodetic>
    </horizsys>
  </spref>
  <eainfo>
    <detailed>
      <enttyp>
        <enttypl>nchan_coll2_shrln_20171222_20241115.shp, nchan_coll2_sandext_20171222_20241115.shp, nchan_coll2_vegext_20171222_20241115.shp</enttypl>
        <enttypd>Vector shoreline, sand, and vegetated feature extents in Esri shapefile (.shp) format, contained in nchan_coll2_features.zip.</enttypd>
        <enttypds>USGS</enttypds>
      </enttyp>
      <attr>
        <attrlabl>FID</attrlabl>
        <attrdef>Internal feature number</attrdef>
        <attrdefs>Esri</attrdefs>
        <attrdomv>
          <udom>Sequential unique whole numbers that are automatically generated.</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Shape</attrlabl>
        <attrdef>Feature geometry</attrdef>
        <attrdefs>Esri</attrdefs>
        <attrdomv>
          <udom>Coordinates defining the features.</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>IMG_DATE</attrlabl>
        <attrdef>Image acquisition date</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <udom>Source image acquisition date written as DD-MON-YYYY (2-digit day, 3-letter month, 4-digit year).</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>DEC_YEAR</attrlabl>
        <attrdef>Source image-acquisition date, in decimal years.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>2017.975</rdommin>
            <rdommax>2024.873</rdommax>
            <attrunit>Decimal year</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
      </attr>
    </detailed>
    <detailed>
      <enttyp>
        <enttypl>nchan_perp_transects_300m.shp</enttypl>
        <enttypd>Cross-shore transect locations in Esri shapefile (.shp) format, contained in nchan_coll2_features.zip.</enttypd>
        <enttypds>USGS</enttypds>
      </enttyp>
      <attr>
        <attrlabl>FID</attrlabl>
        <attrdef>Internal feature number</attrdef>
        <attrdefs>Esri</attrdefs>
        <attrdomv>
          <udom>Sequential unique whole numbers that are automatically generated.</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Shape</attrlabl>
        <attrdef>Feature geometry</attrdef>
        <attrdefs>Esri</attrdefs>
        <attrdomv>
          <udom>Coordinates defining the features.</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Transect</attrlabl>
        <attrdef>Transect number</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>1</rdommin>
            <rdommax>132</rdommax>
            <attrunit>Dimensionless</attrunit>
            <attrmres>1</attrmres>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>StartX</attrlabl>
        <attrdef>UTM coordinates of transect starting x position.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>319282.942095</rdommin>
            <rdommax>325039.250404</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.000001</attrmres>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>StartY</attrlabl>
        <attrdef>UTM coordinates of transect starting y position.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>3289009.250058</rdommin>
            <rdommax>3326250.763767</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.000001</attrmres>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Azimuth</attrlabl>
        <attrdef>Azimuth of transect cast</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>48.408288</rdommin>
            <rdommax>117.397400</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.000001</attrmres>
          </rdom>
        </attrdomv>
      </attr>
    </detailed>
    <detailed>
      <enttyp>
        <enttypl>nchan_coll2_featmetrics_2017_2024.csv</enttypl>
        <enttypd>Comma-separated values (.csv) file detailing derived feature metrics for each image-acquisition date, contained in nchan_coll2_features.zip.</enttypd>
        <enttypds>USGS</enttypds>
      </enttyp>
      <attr>
        <attrlabl>Transect</attrlabl>
        <attrdef>Transect number</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>1</rdommin>
            <rdommax>132</rdommax>
            <attrunit>Dimensionless</attrunit>
            <attrmres>1</attrmres>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>IMG_DATE</attrlabl>
        <attrdef>Image acquisition date</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <udom>Source image acquisition date written as DD-MON-YYYY (2-digit day, 3-letter month, 4-digit year).</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>DEC_YEAR</attrlabl>
        <attrdef>Source image-acquisition date, in decimal years.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>2017.975</rdommin>
            <rdommax>2024.873</rdommax>
            <attrunit>Decimal year</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>SHRLN_min</attrlabl>
        <attrdef>Distance, in meters, along transect from baseline to first intersection with shoreline vector.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>564.520</rdommin>
            <rdommax>5072.489</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NoData</edomv>
            <edomvd>Feature is not present along the transect.</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Excl</edomv>
            <edomvd>Feature was excluded from dataset (see process step description for additional details).</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>SAND_min</attrlabl>
        <attrdef>Distance, in meters, along transect from baseline to first intersection with sand extent vector.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>598.141</rdommin>
            <rdommax>4957.164</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.0010</attrmres>
          </rdom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NoData</edomv>
            <edomvd>Feature is not present along the transect.</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Excl</edomv>
            <edomvd>Feature was excluded from dataset (see process step description for additional details).</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>SAND_max</attrlabl>
        <attrdef>Distance, in meters, along transect from baseline to last intersection with sand extent vector.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>689.084</rdommin>
            <rdommax>5012.648</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NoData</edomv>
            <edomvd>Feature is not present along the transect.</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Excl</edomv>
            <edomvd>Feature was excluded from dataset (see process step description for additional details).</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>VEG_min</attrlabl>
        <attrdef>Distance, in meters, along transect from baseline to first intersection with vegetated extent vector.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>695.207</rdommin>
            <rdommax>4279.561</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NoData</edomv>
            <edomvd>Feature is not present along the transect.</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Excl</edomv>
            <edomvd>Feature was excluded from dataset (see process step description for additional details).</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>VEG_max</attrlabl>
        <attrdef>Distance, in meters, along transect from baseline to last intersection with vegetated extent vector.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>940.156</rdommin>
            <rdommax>4327.063</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NoData</edomv>
            <edomvd>Feature is not present along the transect.</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Excl</edomv>
            <edomvd>Feature was excluded from dataset (see process step description for additional details).</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>SHRLN_max</attrlabl>
        <attrdef>Distance, in meters, along transect from baseline to last intersection with shoreline vector.</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>790.196</rdommin>
            <rdommax>5336.275</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NoData</edomv>
            <edomvd>Feature is not present along the transect.</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Excl</edomv>
            <edomvd>Feature was excluded from dataset (see process step description for additional details).</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>ISLP</attrlabl>
        <attrdef>Width, in meters, of barrier-island platform (sea shoreline to back-barrier shoreline).</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>17.614</rdommin>
            <rdommax>1461.495</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NoData</edomv>
            <edomvd>Feature is not present along the transect.</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Excl</edomv>
            <edomvd>Feature was excluded from dataset (see process step description for additional details).</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>BEACH</attrlabl>
        <attrdef>Width, in meters, of barrier-island beach (maximum sand extent to seaward shoreline).</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>21.429</rdommin>
            <rdommax>431.331</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NoData</edomv>
            <edomvd>Feature is not present along the transect.</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Excl</edomv>
            <edomvd>Feature was excluded from dataset (see process step description for additional details).</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>VEG</attrlabl>
        <attrdef>Width, in meters, of barrier-island vegetation (vegetated extent).</attrdef>
        <attrdefs>USGS</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>20.308</rdommin>
            <rdommax>1217.769</rdommax>
            <attrunit>Meters</attrunit>
            <attrmres>0.001</attrmres>
          </rdom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>NoData</edomv>
            <edomvd>Feature is not present along the transect.</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Excl</edomv>
            <edomvd>Feature was excluded from dataset (see process step description for additional details).</edomvd>
            <edomvds>USGS</edomvds>
          </edom>
        </attrdomv>
      </attr>
    </detailed>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center</cntorg>
          <cntper>USGS SPCMSC Data Management</cntper>
        </cntorgp>
        <cntaddr>
          <addrtype>Mailing and physical</addrtype>
          <address>600 4th Street South</address>
          <city>St. Petersburg</city>
          <state>FL</state>
          <postal>33701</postal>
          <country>USA</country>
        </cntaddr>
        <cntvoice>727-502-8000</cntvoice>
        <cntemail>gs-g-spcmsc_data_inquiries@usgs.gov</cntemail>
      </cntinfo>
    </distrib>
    <resdesc>nchan_coll2_shrln_20171222_20241115.shp, nchan_coll2_sandext_20171222_20241115.shp, nchan_coll2_vegext_20171222_20241115.shp, nchan_perp_transects_300m.shp, nchan_coll2_featmetrics_2017_2024.csv</resdesc>
    <distliab>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.</distliab>
    <stdorder>
      <digform>
        <digtinfo>
          <formname>shapefile, comma-delimited text</formname>
          <formcont>Download file contains vector sand, vegetation, shoreline, and 300m transect shapefiles (.shp) and comma-separated values (.csv) text files.</formcont>
        </digtinfo>
        <digtopt>
          <onlinopt>
            <computer>
              <networka>
                <networkr>https://coastal.er.usgs.gov/data-release/doi-P9HY3HOR/data/nchan_coll2_features.zip</networkr>
              </networka>
            </computer>
          </onlinopt>
        </digtopt>
      </digform>
      <fees>None</fees>
    </stdorder>
    <techpreq>Vector datasets were created using Esri ArcGIS Pro version 3.3.2 and can be opened using Esri ArcGIS Pro version 3.1 or higher; these data may also be viewed using free Google Earth Pro or QGIS software.</techpreq>
  </distinfo>
  <metainfo>
    <metd>20251219</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center</cntorg>
          <cntper>USGS SPCMSC Data Management</cntper>
        </cntorgp>
        <cntaddr>
          <addrtype>Mailing and physical</addrtype>
          <address>600 4th Street South</address>
          <city>St. Petersburg</city>
          <state>FL</state>
          <postal>33701</postal>
          <country>USA</country>
        </cntaddr>
        <cntvoice>727-502-8000</cntvoice>
        <cntemail>gs-g-spcmsc_data_inquiries@usgs.gov</cntemail>
      </cntinfo>
    </metc>
    <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
  </metainfo>
</metadata>
