<?xml version='1.0' encoding='UTF-8'?>
<metadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <idinfo>
    <citation>
      <citeinfo>
        <origin>L.L. Bourgeau-Chavez</origin>
        <origin>K.P. Kowalski</origin>
        <origin>M.J. Battaglia</origin>
        <origin>A.F. Poley</origin>
        <pubdate>20191121</pubdate>
        <title>Land cover map including wetlands and invasive Phragmites circa 2017 for Green Bay</title>
        <geoform>raster digital data</geoform>
        <pubinfo>
          <pubplace>U.S. Geological Survey</pubplace>
          <publish>Reston, VA</publish>
        </pubinfo>
        <onlink>https://doi.org/10.5066/P9OX21T6</onlink>
        <lworkcit>
          <citeinfo>
            <origin>Michigan Tech Research Institute</origin>
            <pubdate>201909</pubdate>
            <title>Land cover map including wetlands and invasive Phragmites circa 2017</title>
            <geoform>raster digital data</geoform>
            <pubinfo>
              <pubplace>U.S. Geological Survey</pubplace>
              <publish>Reston, VA</publish>
            </pubinfo>
            <onlink>https://doi.org/10.5066/P9OX21T6</onlink>
          </citeinfo>
        </lworkcit>
      </citeinfo>
    </citation>
    <descript>
      <abstract>The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.This map covers the Green Bay peninsula and surrounding area on Lake Michigan.</abstract>
      <purpose>This map is an update of a previous circa 2010 map to help monitor invasive species and anthropogenic changes in the Great Lakes region. This work builds on a previous project, (Bourgeau-Chavez, et al., 2015 Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery. Remote sensing. doi: 10.3390/rs70708655), and uses the same methods as described in noted citation. Maps are expansions of previously mapped areas to monitor land cover changes, specifically changes in invasive phragmites caused by drivers such as treatments and water level changes.</purpose>
    </descript>
    <timeperd>
      <timeinfo>
        <rngdates>
          <begdate>20150414</begdate>
          <enddate>20171030</enddate>
        </rngdates>
      </timeinfo>
      <current>publication date</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>None planned</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-88.5198</westbc>
        <eastbc>-86.6113</eastbc>
        <northbc>45.9717</northbc>
        <southbc>43.9413</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>imageryBaseMapsEarthCover</themekey>
      </theme>
      <theme>
        <themekt>Marine Realms Information Bank (MRIB) keywords</themekt>
        <themekey>wetlands</themekey>
      </theme>
      <theme>
        <themekt>USGS Thesaurus</themekt>
        <themekey>invasive species</themekey>
        <themekey>land use and land cover</themekey>
      </theme>
      <theme>
        <themekt>USGS Metadata Identifier</themekt>
        <themekey>USGS:5d0ce918e4b0941bde51dc97</themekey>
      </theme>
      <place>
        <placekt>Common geographic areas</placekt>
        <placekey>Lake Michigan</placekey>
        <placekey>Wisconsin</placekey>
        <placekey>Green Bay</placekey>
      </place>
    </keywords>
    <accconst>None.  Please see 'Distribution Info' for details.</accconst>
    <useconst>None.  Users are advised to read the data set's metadata thoroughly to understand appropriate use and data limitations.</useconst>
    <ptcontac>
      <cntinfo>
        <cntorgp>
          <cntorg>Michigan Tech Research Institute</cntorg>
          <cntper>Laura Bourgeau-Chavez</cntper>
        </cntorgp>
        <cntpos>Senior Research Scientist</cntpos>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>3600 Green Ct Ste. 100</address>
          <city>Ann Arbor</city>
          <state>Michigan</state>
          <postal>48105</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>(734) 913-6873</cntvoice>
        <cntemail>lchavez@mtu.edu</cntemail>
      </cntinfo>
    </ptcontac>
    <native>Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.1 (Build 7333) Service Pack N/A (Build N/A)</native>
  </idinfo>
  <dataqual>
    <attracc>
      <attraccr>Stratified random sampling was use to select field sites, which were visited to assess cover type. Photographs of each field site were cross checked by analysts to verify cover type and classification accuracy. This information was used to validate map products generated with a machine learning algorithm. Confusion matrices are provided as excel documents.</attraccr>
    </attracc>
    <logic>Analysts conducted visual inspections of the classified maps to ensure consistency. Data values falling outside of expected ranges were inspected and corrected.</logic>
    <complete>Each 12.5 square meter pixel is assigned a land cover type. Land cover types were derived from Anderson level II (1976) and augmented with wetland classes common in the Great Lakes region.The minimum mapping unit for the data products is .2 hectares due to the spatial resolution of the satellite remote sensing data used to derive the maps. Study regions were selected based on known infestations of Phragmites and satellite data availability. Phragmites occurrence is not limited to the mapped study regions.</complete>
    <lineage>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>JAXA</origin>
            <pubdate>2017</pubdate>
            <title>ALOS-2 PALSAR</title>
            <geoform>remote-sensing image</geoform>
            <othercit>Publication data refers to date when satellite imagery was downloaded</othercit>
          </citeinfo>
        </srccite>
        <typesrc>Digital and/or Hardcopy</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20150901</begdate>
              <enddate>20180601</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>observed</srccurr>
        </srctime>
        <srccitea>ALOS-2 PALSAR</srccitea>
        <srccontr>L-band synthetic aperture radar data is sensitive to vegetation structure and inundation condition</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>USGS</origin>
            <pubdate>2017</pubdate>
            <title>Landsat OLI</title>
            <geoform>remote-sensing image</geoform>
            <onlink>https://earthexplorer.usgs.gov/</onlink>
          </citeinfo>
        </srccite>
        <typesrc>Digital and/or Hardcopy</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>20150901</begdate>
              <enddate>20180601</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>observed</srccurr>
        </srctime>
        <srccitea>Landsat OLI</srccitea>
        <srccontr>Multispectral data provides information on vegetation type and phenology</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Bourgeau-Chavez, Laura. Endres, Sarah. Battaglia, Michael. Miller, Mary Ellen. Banda, Elizabeth. Laubach, Zachary. Higman, Phyllis. Chow-Fraser, Pat. Marcaccio, James.</origin>
            <pubdate>20150209</pubdate>
            <title>Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery</title>
            <geoform>publication</geoform>
          </citeinfo>
        </srccite>
        <typesrc>Digital and/or Hardcopy</typesrc>
        <srctime>
          <timeinfo>
            <sngdate>
              <caldate>20150209</caldate>
            </sngdate>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>Methods</srccitea>
        <srccontr>Data production methods and adapted class descriptions.</srccontr>
      </srcinfo>
      <procstep>
        <procdesc>Training data was generated using high resolution aerial imagery (NAIP etc.)

(Bourgeau-Chavez, et al., 2015 Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery. Remote sensing. doi: 10.3390/rs70x000x.)</procdesc>
        <procdate>20180601</procdate>
      </procstep>
      <procstep>
        <procdesc>Training data was used train a machine learning classifier which was applied to multi-date ALOS-2 PALSAR and LANDSAT OLI image stacks. 

(Bourgeau-Chavez, et al., 2015 Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery. Remote sensing. doi: 10.3390/rs70x000x.)</procdesc>
        <procdate>20180601</procdate>
      </procstep>
      <procstep>
        <procdesc>Classified maps were validated using field data collections and, in some cases when field data was unavailable, image interpretation. 

(Bourgeau-Chavez, et al., 2015 Development of a Bi-National Great Lakes Coastal Wetland and Land Use Map Using Three-Season PALSAR and Landsat Imagery. Remote sensing. doi: 10.3390/rs70x000x.)</procdesc>
        <procdate>20180601</procdate>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Raster</direct>
    <rastinfo>
      <rasttype>Grid Cell</rasttype>
      <rowcount>17960</rowcount>
      <colcount>11830</colcount>
      <vrtcount>1</vrtcount>
    </rastinfo>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <gridsys>
          <gridsysn>Universal Transverse Mercator</gridsysn>
          <utm>
            <utmzone>16</utmzone>
            <transmer>
              <sfctrmer>0.9996</sfctrmer>
              <longcm>-87.0</longcm>
              <latprjo>0.0</latprjo>
              <feast>500000.0</feast>
              <fnorth>0.0</fnorth>
            </transmer>
          </utm>
        </gridsys>
        <planci>
          <plance>row and column</plance>
          <coordrep>
            <absres>12.500000000000005</absres>
            <ordres>12.500000000000005</ordres>
          </coordrep>
          <plandu>meters</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>WGS_1984</horizdn>
        <ellips>WGS 84</ellips>
        <semiaxis>6378137.0</semiaxis>
        <denflat>298.257223563</denflat>
      </geodetic>
    </horizsys>
  </spref>
  <eainfo>
    <detailed>
      <enttyp>
        <enttypl>GreenBay_mosaic_update.tif</enttypl>
        <enttypd>Raster geospatial data file.</enttypd>
        <enttypds>Producer Defined</enttypds>
      </enttyp>
      <attr>
        <attrlabl>OID</attrlabl>
        <attrdef>Internal object identifier.</attrdef>
        <attrdefs>Producer Defined</attrdefs>
        <attrdomv>
          <udom>Sequential unique whole numbers that are automatically generated.</udom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Value</attrlabl>
        <attrdef>Unique numeric values contained in each raster cell.</attrdef>
        <attrdefs>Producer Defined</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>1</rdommin>
            <rdommax>24</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Count</attrlabl>
        <attrdef>Number of raster cells with this value.</attrdef>
        <attrdefs>Producer Defined</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>33.0</rdommin>
            <rdommax>42774112.0</rdommax>
          </rdom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>Class</attrlabl>
        <attrdef>Name of land cover type classified for each raster cell.</attrdef>
        <attrdefs>Producer Defined</attrdefs>
        <attrdomv>
          <edom>
            <edomv>Urban</edomv>
            <edomvd>Residential areas, cites, towns, industrial areas, utilities, commercial services where the man-made structures have &gt; 75% coverage.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Suburban</edomv>
            <edomvd>Primarily residential areas where man-made structure (i.e. buildings, farm equipment) are present; with more than or equal 25% vegetation (trees, shrubs, grass) are interspersed.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Grass</edomv>
            <edomvd>Lawns, golf courses, athletic fields, urban parks and mowed transitional zones such as medians or airfields.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Paved Surface</edomv>
            <edomvd>Linear transportation routes, large driveways, and parking areas. Transportation routes can include highways, small two lane roads, rail road beds, airfield landing areas, round-a-bouts, parking lots, and off and on ramps.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Agriculture</edomv>
            <edomvd>Hay fields and croplands where row crops such as corn, beans, and grains are in production. Land used for production of food or fiber; land use distinguishes agriculture land from similar natural ecosystem types (i.e. wetlands and rice patties).</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Pasture/Fallow Field</edomv>
            <edomvd>Agriculture fields not in row crop production, such as areas of native grasses or meadows and pastures.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Orchard</edomv>
            <edomvd>Orchards, vineyards, and ornamental  plants/trees.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Forest</edomv>
            <edomvd>Broad leaf and needle leaf deciduous and evergreen trees and dead forests. Characterized by woody vegetation with a height &gt; 6m. Crown closure percentage (i.e. aerial view) &gt; 75%.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Conifer</edomv>
            <edomvd>Needle leaved deciduous and evergreen trees with distinct row structure and typically planted in defined geometric plot.  Crown closure percentage (i.e. aerial view) &gt; 75%.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Shrub</edomv>
            <edomvd>True shrubs, immature trees, or stunted growth trees/shrubs. Characterized by woody vegetation with a height &lt; 6m. May represent a successional stage growth that has not yet matured to forest, or stable communities of shrubs and stunted growth trees. Crown closure percentage (i.e. aerial view) &gt; 50%.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Barren</edomv>
            <edomvd>Salt flats, beaches, sandy areas, bare rock, strip mines, quarries, gravel pits and transitional area (on gray scale &gt; 50% white). Land with limited ability to support life. Contains less than 33% vegetative cover. May include thinly dispersed scrubby vegetation.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Water</edomv>
            <edomvd>Streams, canals, rivers, lakes, estuaries, reservoirs, impoundments, and bays. Areas persistently inundated in water that do not typically show annual drying out or vegetation growth at or above the water’s surface. Where depth of water column is &gt; 2m, such that light attenuation increases significantly and surface and subsurface aquatic vegetation persistence declines or is less detectable.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Aquatic Bed</edomv>
            <edomvd>Algal beds, aquatic mosses, rooted vascular plants (e.g. eel grasses and sea grasses, pond weeds, lily pads, milfoil) and floating vascular plants (e.g. lemna, water hyacinth, coontails, and bladderwarts). Inundated wetlands or water &lt; 2m (excluding deep water zones) habitats dominated by plants that grow principally on or just below the water’s surface.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Wet Meadow/Emergent</edomv>
            <edomvd>Emergent wetland and wet meadow vegetation not represented by other classes. These are areas where the water table is at or near the earth’s surface. Seasonal inundation and or drying are common phenomenon. Vegetative species distributions are strong indicators of wetland condition. Does not include cultivated wetlands, such as rice paddy or cranberry farms.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Schoenoplectus</edomv>
            <edomvd>Dominate species is Schoenoplectus spp. and crown closure percentage (i.e. aerial view) &gt; 50%.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Typha</edomv>
            <edomvd>Dominate species is Typha spp. and crown closure percentage (i.e. aerial view) &gt; 50%.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Phragmites</edomv>
            <edomvd>Dominate species is Phragmites australis and crown closure percentage (i.e. aerial view) &gt; 50%.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Dead Phragmites</edomv>
            <edomvd>Dominate species is standing dead Phragmites australis.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Shrub Wetland</edomv>
            <edomvd>Wetlands dominated by shrubs &lt; 6m in height. Crown closure percentage (i.e. aerial view) &gt; 50%.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
        <attrdomv>
          <edom>
            <edomv>Forested Wetland</edomv>
            <edomvd>Wetlands dominated by woody vegetation (dead or alive) &gt; 6m in height. Includes seasonally flooded forests. Crown closure percentage (i.e. aerial view) &gt; 50%.</edomvd>
            <edomvds>Producer defined</edomvds>
          </edom>
        </attrdomv>
      </attr>
    </detailed>
    <overview>
      <eaover>.tif  - data file of land cover map
.xml - metadata file associated with .tif
.dbf - database file associated with .tif
.cpg - character encoding file associated with .tif
.tfw - spatial information file associated with .tif
.csv - comma separated value, error matrix of accuracy</eaover>
      <eadetcit>File extensions: https://gisgeography.com/arcgis-shapefile-files-types-extensions/

Error matrix: Congalton and Green, 1993. A Practical Look at the Sources of Confusion in Error Matrix Generation. Photogrammetric Engineering &amp; Remote Sensing.</eadetcit>
    </overview>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey</cntorg>
          <cntper>GS ScienceBase</cntper>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing address</addrtype>
          <address>Denver Federal Center, Building 810, Mail Stop 302</address>
          <city>Denver</city>
          <state>CO</state>
          <postal>80225</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>1-888-275-8747</cntvoice>
        <cntemail>sciencebase@usgs.gov</cntemail>
      </cntinfo>
    </distrib>
    <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 on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>
    <stdorder>
      <digform>
        <digtinfo>
          <formname>Digital Data</formname>
        </digtinfo>
        <digtopt>
          <onlinopt>
            <computer>
              <networka>
                <networkr>https://doi.org/10.5066/P9OX21T6</networkr>
              </networka>
            </computer>
          </onlinopt>
        </digtopt>
      </digform>
      <fees>None</fees>
    </stdorder>
  </distinfo>
  <metainfo>
    <metd>20200820</metd>
    <metc>
      <cntinfo>
        <cntperp>
          <cntper>Michael Battaglia</cntper>
          <cntorg>Michigan Tech Research Institute</cntorg>
        </cntperp>
        <cntpos>Research Scientist</cntpos>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>Ste. 100</address>
          <city>Ann Arbor</city>
          <state>Michigan</state>
          <postal>48105</postal>
          <country>United States</country>
        </cntaddr>
        <cntvoice>734-994-7230</cntvoice>
        <cntfax>734-913-6880</cntfax>
        <cntemail>mjbattag@mtu.edu</cntemail>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
  </metainfo>
</metadata>
