Metadata:
  Identification_Information:
    Citation:
      Citation_Information:
        Originator: Tim Wade
        Publication_Date: 200402
        Title:
          Causes of Forest Fragmentation in the United States  270 Meter
          Resolution
        Geospatial_Data_Presentation_Form: Map
        Publication_Information:
          Publication_Place: Reston, VA
          Publisher: National Atlas of the United States
        Online_Linkage: <http://nationalatlas.gov/atlasftp.html?openChapters=chpbio#chpbio>
    Description:
      Abstract:
        This map layer is a grid map of the conterminous United States, created
        from National Land Cover Data (NLCD).  The NLCD data was reclassified into
        four categories: forest, other natural (e.g. grassland, wetland, etc.),
        human land use (e.g. agriculture, urban, etc.), and nodata (water, ice and
        snow, and bare rock/sand).  A 9 x 9-pixel moving window was then used to
        generate forest edge measurements for every pixel, regardless of its
        class.
        Within each window, the edges of all forest pixels were examined to
        determine what type of land cover shared each edge.  Three new grids were
        created, one for each edge type (forest-forest, forest-natural, and
        forest-human).  The values in these grids were calculated as the number of
        edges with the appropriate type in the window divided by the total number
        of forest edges, regardless of neighbor.  These grids represented forest
        connectivity (forest-forest edges), naturally caused forest fragmentation
        (forest-natural edges), and human caused forest fragmentation (forest-
        human edges).  In the map, forest connectivity is displayed in green,
        natural fragmentation in blue, and human fragmentation in red.  Yellow
        indicates areas that are an approximately equal mix of connected forest
        and human fragmentation, while cyan indicates areas that are an
        approximately equal mix of connected forest and natural fragmentation.
        Black represents areas with no forest in the 9 x 9-pixel window; white
        represents ignored or nodata areas, such as water, ice and snow, and bare
        rock/sand.
        The data available through the National Atlas of the United States are
        in GeoTIFF format.
      Purpose:
        Forest fragmentation has been studied extensively and can be quantified in
        several ways.  This map layer is the first to identify sources of forest
        fragmentation, separating fragmentation into human and natural components.
        The data may be a useful tool for decision makers in identifying areas for
        protection or restoration.  Areas displayed in yellow represent transition
        zones between connected forest and human-fragmented forest.  Because human
        land uses tend to expand over time, these areas will be the most likely to
        experience further degradation.  In time, the transition zones may become
        highly fragmented and new transitional areas will appear deeper in the
        intact forest.  Consequently, the yellow areas in the map may represent
        excellent opportunities for protection or restoration.  Protecting
        transitional and adjacent areas may limit further expansion or degradation
        of the transitional areas.  Restoration efforts to eliminate or reduce
        fragmentation may produce larger patches of connected forest.
      Supplemental_Information:
        Downloadable data is scaled from 0 to 100 and is meant to be used in
        analyses.  For display purposes, it is recommended that the data be
        rescaled from 0 to 255 to capture the full spectrum of possible
        fragmentation combinations.  Colors are subdued and yellows and cyans may
        be missing in the display, using data scaled from 0 to 100.
        These data are based on National Land Cover Data (NLCD).  Information
        about NLCD is available online at:
        <http://landcover.usgs.gov/natllandcover.asp>.  For additional
        information see Vogelmann, J.E., S.M. Howard, L. Yang, C.R. Larson, B.K.
        Wylie, and N. van Driel.  2001.  Completion of the 1990s National land
        cover data set for the conterminous United States from Landsat Thematic
        Mapper data and ancillary data sources.  Photogrammetric Engineering and
        Remote Sensing 67: 650-662.
        The data are stored in three bands, one each for forest connectivity
        (Pff), human fragmentation (Pfa), and natural fragmentation (Pfn).  Values
        have been scaled from 0 to 100, with -9999 (nodata) where the NLCD
        identified water, ice and snow, or bare rock/sand (classes 11, 12 and 31).
        Values of 0 occur where the 9 x 9-pixel window contained no forest pixels
        or where all forest pixels were surrounded by nodata pixels.  A value of
        100 indicates a window where all forest pixel edges adjoin only one class.
        For example, a 100 in the forest connectivity band means all forest pixels
        in the window are adjacent to other forest pixels or a nodata pixel.  It
        does not necessarily mean that all pixels in the window are forest.  To
        display these data, it is highly recommended that their values be
        stretched to range from 0 to 255.  This will brighten and enhance the
        contrast in the image.
        Detailed information on the algorithms used to process the NLCD data to
        create a global fragmentation map can be found in: Wade, T.G, K.H.
        Riitters, J.D. Wickham, and K.B. Jones, 2003.  Distribution and causes of
        global forest fragmentation.  Conservation Ecology 7(2): 7. [online] URL:
        <http://www.consecol.org/vol7/iss2/art7>.  Similar procedures were used to
        create this map layer.
        The United States Environmental Protection Agency (EPA), through its
        Office of Research and Development (ORD), partially funded and
        collaborated in this work under Interagency Agreement DW12939283-01-0 with
        the United States Department of Agriculture.  It has been subjected to
        Agency review and approved for publication.
        The associated world file is included as part of the GeoTIFF.  The
        contents of the world file are:
        >270.0000
        >0.000000
        >0.000000
        >-270.0000
        >-2262865.0000
        >1038776.0000
        The following projection file can be used when using ESRI's ArcGIS to view
        the GeoTIFF (any line breaks should be removed):
        PROJCS["NAD_1983_Lambert_Azimuthal_Equal_Area",GEOGCS
        ["GCS_Sphere_ARC_INFO",DATUM["D_Sphere_ARC_INFO",SPHEROID
        ["Sphere_ARC_INFO",6370997.0,0.0]],PRIMEM["Greenwich",0.0],
        UNIT["Degree",0.0174532925199433]],PROJECTION
        ["Lambert_Azimuthal_Equal_Area"],PARAMETER["False_Easting",0.0],
        PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",
        -100.0],PARAMETER["Latitude_Of_Origin",45.0],UNIT["Meter",1.0]]
    Time_Period_of_Content:
      Time_Period_Information:
        Single_Date/Time:
          Calendar_Date: 1992
      Currentness_Reference: Primary date of source imagery
    Status:
      Progress: Complete
      Maintenance_and_Update_Frequency: Irregular
    Spatial_Domain:
      Bounding_Coordinates:
        West_Bounding_Coordinate: -125
        East_Bounding_Coordinate: -66
        North_Bounding_Coordinate: 50
        South_Bounding_Coordinate: 24
    Keywords:
      Theme:
        Theme_Keyword_Thesaurus: ISO 19115 Topic Category
        Theme_Keyword: biota
        Theme_Keyword: environment
      Theme:
        Theme_Keyword_Thesaurus: None
        Theme_Keyword: Biodiversity
        Theme_Keyword: Land cover
        Theme_Keyword: Forest
        Theme_Keyword: Fragmentation
        Theme_Keyword: Landscape
      Place:
        Place_Keyword_Thesaurus: None
        Place_Keyword: United States
        Place_Keyword: USA
      Place:
        Place_Keyword_Thesaurus:
          U.S. Department of Commerce, 1987, Codes for the Identification of the
          States, the District of Columbia and the Outlying Areas of The United
          States, and Associated Areas (Federal Information Processing Standard
          5-2): Washington, DC, National Institute of Standards and Technology.
        Place_Keyword: Alabama
        Place_Keyword: Arizona
        Place_Keyword: Arkansas
        Place_Keyword: California
        Place_Keyword: Colorado
        Place_Keyword: Connecticut
        Place_Keyword: Delaware
        Place_Keyword: District of Columbia
        Place_Keyword: Florida
        Place_Keyword: Georgia
        Place_Keyword: Idaho
        Place_Keyword: Illinois
        Place_Keyword: Indiana
        Place_Keyword: Iowa
        Place_Keyword: Kansas
        Place_Keyword: Kentucky
        Place_Keyword: Louisiana
        Place_Keyword: Maine
        Place_Keyword: Maryland
        Place_Keyword: Massachusetts
        Place_Keyword: Michigan
        Place_Keyword: Minnesota
        Place_Keyword: Mississippi
        Place_Keyword: Missouri
        Place_Keyword: Montana
        Place_Keyword: Nebraska
        Place_Keyword: Nevada
        Place_Keyword: New Hampshire
        Place_Keyword: New Jersey
        Place_Keyword: New Mexico
        Place_Keyword: New York
        Place_Keyword: North Carolina
        Place_Keyword: North Dakota
        Place_Keyword: Ohio
        Place_Keyword: Oklahoma
        Place_Keyword: Oregon
        Place_Keyword: Pennsylvania
        Place_Keyword: Rhode Island
        Place_Keyword: South Carolina
        Place_Keyword: South Dakota
        Place_Keyword: Tennessee
        Place_Keyword: Texas
        Place_Keyword: Utah
        Place_Keyword: Vermont
        Place_Keyword: Virginia
        Place_Keyword: Washington
        Place_Keyword: West Virginia
        Place_Keyword: Wisconsin
        Place_Keyword: Wyoming
    Access_Constraints: None
    Use_Constraints:
      None. Acknowledgment of the National Atlas of the United States of America,
      the U.S. Environmental Protection Agency, the U.S. Forest Service, and (or)
      the U.S. Geological Survey would be appreciated in products derived from
      these data.
    Point_of_Contact:
      Contact_Information:
        Contact_Person_Primary:
          Contact_Person: Tim Wade
          Contact_Organization: U.S. Environmental Protection Agency
        Contact_Address:
          Address_Type: Mailing and physical address
          Address: E243-05
          City: Research Triangle Park
          State_or_Province: NC
          Postal_Code: 27711
        Contact_Voice_Telephone: 919-541-4119
        Contact_Electronic_Mail_Address: wade.timothy@epa.gov
    Data_Set_Credit:
      This map was derived from the 1992 NLCD.  Funding to create the NLCD came
      from the Multi-Resolution Land Characteristics (MRLC) Consortium
      <http://www.mrlc.gov/index.asp>.  Partners in the MRLC included the U.S.
      Geological Survey (USGS), U.S. Environmental Protection Agency (EPA),
      National Oceanic and Atmospheric Administration (NOAA), and U.S. Forest
      Service (USFS).
      For additional information see Vogelmann, J.E., T. Sohl, and S.M. Howard,
      1998.  Regional characterization of land cover using multiple sources of
      data. Photogrammetric Engineering and Remote Sensing, 64: 45-57.
    Native_Data_Set_Environment:
      These data are presently stored in grid format, ESRI Arc/INFO version 8.3
      running under Windows.  The data available through the National Atlas of the
      United States are in GeoTIFF format.
    Cross_Reference:
      Citation_Information:
        Originator: Tim Wade
        Publication_Date: 200402
        Title:
          Causes of Forest Fragmentation in the United States  540 Meter
          Resolution
        Geospatial_Data_Presentation_Form: Map
        Publication_Information:
          Publication_Place: Reston, VA
          Publisher: National Atlas of the United States
        Online_Linkage: <http://nationalatlas.gov/atlasftp.html?openChapters=chpbio#chpbio>
    Cross_Reference:
      Citation_Information:
        Originator: Tim Wade
        Publication_Date: 200402
        Title:
          Causes of Forest Fragmentation in the United States  1 Kilometer
          Resolution
        Geospatial_Data_Presentation_Form: Map
        Publication_Information:
          Publication_Place: Reston, VA
          Publisher: National Atlas of the United States
        Online_Linkage: <http://nationalatlas.gov/atlasftp.html?openChapters=chpbio#chpbio>
    Cross_Reference:
      Citation_Information:
        Originator: Kurt Riitters
        Publication_Date: 200212
        Title: Classification of Forest Fragmentation in North America
        Geospatial_Data_Presentation_Form: Map
        Publication_Information:
          Publication_Place: Reston, VA
          Publisher: National Atlas of the United States
        Online_Linkage: <http://nationalatlas.gov/atlasftp.html?openChapters=chpbio#chpbio>
  Data_Quality_Information:
    Attribute_Accuracy:
      Attribute_Accuracy_Report:
        Thematic accuracy of the fragmentation data is directly related to the
        accuracy of the NLCD.  An accuracy assessment of the NLCD has been
        completed and published.  For further information see Stehman, S.V.,
        J.D. Wickham, J.H. Smith, and L. Yang.  2003.  Thematic accuracy of the
        1992 National Land-Cover Data (NLCD) for the eastern United States:
        statistical methodology and regional results.  Remote Sensing of
        Environment, 86:500-516.
        Information on the western United States will be published soon as
        Wickham, J.D., S.V. Stehman, J.H. Smith, and L. Yang.  (Accepted pending
        revision).  Thematic accuracy of 1992 National Land-Cover Data (NLCD) for
        the western United States.  Remote Sensing of Environment.
        The fragmentation values are best interpreted as relative to other places
        on the same map.  Comparisons with other maps prepared from different data
        sources or at different scales are tenuous.
    Logical_Consistency_Report:
      All cell values are in the range [0,100] plus a -9999 value for nodata.
      Nodata represents water, ice and snow, or bare rock/sand.
    Completeness_Report:
      Every cell in the original land cover map potentially has values
      representing fragmentation and connectivity.  Some regions (coastal)
      may have missing values as a result of reprojecting the fragmentation map
      to a standard projection and clipping to a mask.  Other regions (e.g.,
      islands within large inland water bodies) may have missing values as a
      result of there being too few non-water pixels in the analysis window to
      provide a valid value.
    Positional_Accuracy:
      Horizontal_Positional_Accuracy:
        Horizontal_Positional_Accuracy_Report:
          The positional accuracy of the forest fragmentation map is the same as
          the positional accuracy of the NLCD.
    Lineage:
      Source_Information:
        Source_Citation:
          Citation_Information:
            Originator: U.S. Geological Survey
            Publication_Date: 1998
            Title: National Land Cover Dataset 1992
            Publication_Information:
              Publication_Place: Sioux Falls, SD
              Publisher: USGS, Center for EROS
            Other_Citation_Details:
              The procedures used in development of this map layer are described
              in: Vogelmann, J.E., S.M. Howard, L. Yang, C.R. Larson, B.K. Wylie,
              N. Van Driel, 2001.  Completion of the 1990s National Land Cover
              Data Set for the Conterminous United States from Landsat Thematic
              Mapper Data and Ancillary Data Sources.  Photogrammetric Engineering
              and Remote Sensing, 67:650-652.
            Online_Linkage: <http://landcover.usgs.gov/natllandcover.asp>
        Type_of_Source_Media: Online
        Source_Time_Period_of_Content:
          Time_Period_Information:
            Single_Date/Time:
              Calendar_Date: 1992
          Source_Currentness_Reference: Primary date of source imagery
        Source_Citation_Abbreviation: NLCD
        Source_Contribution: Land cover map
      Source_Information:
        Source_Citation:
          Citation_Information:
            Originator: National Atlas of the United States
            Publication_Date: 1999
            Title: North America Land/Water Mask
            Publication_Information:
              Publication_Place: Reston, VA
              Publisher: National Atlas of the United States
        Type_of_Source_Media: ftp site
        Source_Time_Period_of_Content:
          Time_Period_Information:
            Single_Date/Time:
              Calendar_Date: 1999
          Source_Currentness_Reference: Publication date
        Source_Citation_Abbreviation: GRDMSKI0201
        Source_Contribution: Shoreline information
      Process_Step:
        Process_Description:
          Land-cover data (NLCD) were obtained from the Center for EROS in band
          sequential (bsq) format.  Each State plus the District of Columbia
          were obtained in separate files (Alaska and Hawaii are not included
          in the NLCD).  For each State, a header was created using the NLCD
          metadata.  The State bsq file was then converted to an in-house format
          using an in-house software tool named BSQ2TVA.C.
          Each State map was subdivided into four overlapping rectangles using an
          in-house software tool named SPLITTER.C.  The rectangles overlapped to
          avoid artifacts near image boundaries during subsequent spatial
          filtering operations.  The subdivision was then repeated for each of
          the four rectangles, to produce a total of 16 rectangles for each State.
          Because of its small size, the map for the District of Columbia (only)
          was not subdivided, but instead was processed as one map using the
          following procedures.
          The in-house spatial filtering program SPATCONV.C was used to process
          each of the 16 rectangles.  The processing measured the proportion of
          forest pixel edges that joined forest pixels to forest pixels, to other
          natural pixels, and to human pixels, within 9 x 9-pixel windows
          centered on each of the original NLCD pixels.
          First, the land-cover map was condensed to four classes - forest
          (NLCD codes 41, 42, 43, 91), other natural (NLCD codes 51, 52, 53,
          71, 92), human (NLCD codes 21, 22, 23, 32, 33, 61, 81, 82, 83,
          84, 85), and nodata (NLCD codes 11, 12, 31).
          Next, a connectivity of forest value (Pff) was determined for each
          forested pixel by calculating the proportion of adjacent pixel pairs
          that were both forest, given that at least one of a pair was forest,
          for pixel pairs within a 9 x 9-pixel window centered on the subject
          pixel.
          Also, a fragmentation by natural causes value (Pfn) was determined for
          each forested pixel by calculating proportion of adjacent pixel pairs
          where one was forest and the second was natural, given that at least one
          of a pair was forest, for pixel pairs within a 9 x 9-pixel window
          centered on the subject pixel.
          Also, a fragmentation by human causes value (Pfa) was determined for
          each forested pixel by calculating proportion of adjacent pixel pairs
          where one was forest and the second was human, given that at least one
          of a pair was forest, for pixel pairs within a 9 x 9-pixel window
          centered on the subject pixel.
          "Adjacent pixels" were defined as being in cardinal directions only,
          and pixel pairs involving nodata pixels were excluded from the
          calculation.
          Pff (roughly) estimates the probability that, given a pixel of forest,
          its neighbor is also forest.  Forest connectivity is higher for larger
          values of Pff.  Pfa and Pfn partition into components the non-
          connectivity of forest, based on human and natural land-cover types.
          The indices (Pff, Pfa, and Pfn) are continuous variables and range from
          zero to one.  The calculated values were discretized to the range
          [1,255] and stored at 30-meter spatial resolution.  The transformation
          used to discretize the values was:
          >D = (C * 254) + 1
          >where
          >D = discretized value in range [1,255]
          >C = calculated value of Pff, Pfa, or Pfn in range [0,1]
          The sixteen rectangles of a given index were exported in an in-house
          format and reassembled into State-level images via an in-house software
          tool named LUMPER.C, which removed the overlapping parts of the
          rectangles.  The in-house software tool TVA2BSQ.C was then used to
          convert the format to bsq and the resulting files were imported into
          Arc/INFO by using the command IMAGEGRID.
          Two additional steps were completed to reduce the sizes of the maps.
          The RESAMPLE command (nearest neighbor option) in the Arc/INFO grid
          module was used to convert each State-level grid to a grid with 270-
          meter resolution.  The MERGE command in the Arc/INFO grid module was
          used to combine all State-level maps at 270-meter resolution into one
          map.  The final product consisted of three national maps at 270-meter
          resolution, one for Pff (forest connectivity), one for Pfa (human-caused
          fragmentation), and one for Pfn (natural fragmentation).
          The georeferencing did not change as a result of reformatting,
          exporting, importing, or spatial filtering.
        Source_Used_Citation_Abbreviation: NLCD
        Process_Date: 2001
      Process_Step:
        Process_Description:
          Values for Pff, Pfa and Pfn were rescaled to 0 to 100 so that
          fragmentation and connectivity can be thought of in percentage terms
          (Pff + Pfa + Pfn = 100).  The exception is when all are equal to 0 which
          indicates a pixel whose associated window contains no forest or where
          all forest edges adjoin nodata pixels.  Nodata values represent land
          cover that was ignored (water, ice and snow, and bare rock/sand).
          The Pfa, Pff and Pfn grids were projected to the Lambert Azimuthal Equal
          Area projection, using the Arc/INFO command PROJECT.  This projection is
          the standard projection used for image files in the National Atlas of
          the United States.  Nearest neighbor resampling was used, and cell size
          was maintained at 270 meters.
          Each of the grids was clipped using the USGS water mask grid
          (GRDMSKI0201).  The clip was performed in Arc/INFO Grid by using the CON
          function to delete data in the Pfa, Pff and Pfn grids where the mask
          grid was water.
          The three grids were combined into a stack using the MAKESTACK command
          in Arc/INFO Grid.  They were exported using GRIDIMAGE in Arc/INFO, using
          the tif option.  Two files were created during the conversion, the TIFF
          image and a world file (.tfw extension) containing real-world coordinate
          transformation information.  Information in the world file is embedded
          into the TIFF image to create a GeoTIFF image.
        Source_Used_Citation_Abbreviation: GRDMSKI0201
        Source_Used_Citation_Abbreviation: FRAG1
        Process_Date: 2003
  Spatial_Data_Organization_Information:
    Direct_Spatial_Reference_Method: Raster
    Raster_Object_Information:
      Raster_Object_Type: Grid Cell
      Row_Count: 12800
      Column_Count: 19067
  Spatial_Reference_Information:
    Horizontal_Coordinate_System_Definition:
      Planar:
        Map_Projection:
          Map_Projection_Name: Lambert Azimuthal Equal Area
          Lambert_Azimuthal_Equal_Area:
            Longitude_of_Projection_Center: -100.00
            Latitude_of_Projection_Center: 45.00
            False_Easting: 0.0
            False_Northing: 0.0
        Planar_Coordinate_Information:
          Planar_Coordinate_Encoding_Method: Row and column
          Coordinate_Representation:
            Abscissa_Resolution: 270
            Ordinate_Resolution: 270
          Planar_Distance_Units: Meters
      Geodetic_Model:
        Horizontal_Datum_Name: None
        Ellipsoid_Name: Sphere
        Semi-major_Axis: 6370997.0
        Denominator_of_Flattening_Ratio: 1.0
  Entity_and_Attribute_Information:
    Detailed_Description:
      Entity_Type:
        Entity_Type_Label: Forest fragmentation grid cell
        Entity_Type_Definition: Any of the data elements in the forest fragmentation file.
        Entity_Type_Definition_Source: National Atlas of the United States
      Attribute:
        Attribute_Label: Forest fragmentation grid cell value
        Attribute_Definition:
          In bands 1 (human fragmentation) and 3 (natural fragmentation),
          lower values represent smaller amounts of fragmentation.  In band 2
          (forest connectivity), lower values represent less-connected forest.  A
          value of 0 in band 2 means there is no forest in the pixels associated
          window or that all forest pixels are completely surrounded by nodata.
        Attribute_Definition_Source: National Atlas of the United States
        Attribute_Domain_Values:
          Range_Domain:
            Range_Domain_Minimum: 0
            Range_Domain_Maximum: 100
        Attribute_Domain_Values:
          Enumerated_Domain:
            Enumerated_Domain_Value: -9999
            Enumerated_Domain_Value_Definition: Nodata pixel, containing water, ice and snow, or bare rock/sand.
            Enumerated_Domain_Value_Definition_Source: National Atlas of the United States
  Distribution_Information:
    Distributor:
      Contact_Information:
        Contact_Organization_Primary:
          Contact_Organization: Earth Science Information Center, U.S. Geological Survey
        Contact_Address:
          Address_Type: Mailing address
          Address: 507 National Center
          City: Reston
          State_or_Province: VA
          Postal_Code: 20192
        Contact_Voice_Telephone: 1-888-ASK-USGS (1-888-275-8747)
        Contact_Voice_Telephone: 703-648-5920
        Contact_Instructions:
          In addition to the address above there are other ESIC offices
          throughout the country. A full list of these offices is at
          <http://ask.usgs.gov/esic_index.html>.
    Distribution_Liability:
      Although these data have been processed successfully on a computer system
      at the U.S. Geological Survey, no warranty expressed or implied is made by
      the U.S. Geological Survey regarding the utility of the data on any other
      system, nor shall the act of distribution constitute any such warranty.
      No responsibility is assumed by the U.S. Geological Survey, U.S.
      Environmental Protection Agency, or U.S. Forest Service in the use of
      these data.
    Standard_Order_Process:
      Digital_Form:
        Digital_Transfer_Information:
          Format_Name: TIFF
        Digital_Transfer_Option:
          Online_Option:
            Computer_Contact_Information:
              Network_Address:
                Network_Resource_Name: <http://nationalatlas.gov/atlasftp.html?openChapters=chpbio#chpbio>
      Fees: There is no charge for the map layer.
  Metadata_Reference_Information:
    Metadata_Date: 20060420
    Metadata_Contact:
      Contact_Information:
        Contact_Person_Primary:
          Contact_Person: Peg Rawson
          Contact_Organization: National Atlas of the United States
        Contact_Address:
          Address_Type: Mailing address
          Address: 12201 Sunrise Valley Drive
          Address: MS-561
          City: Reston
          State_or_Province: VA
          Postal_Code: 20192
        Contact_Voice_Telephone: 703-648-4183
        Contact_Electronic_Mail_Address: atlasmail@usgs.gov
    Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
    Metadata_Standard_Version: FGDC-STD-001-1998
    Metadata_Security_Information:
      Metadata_Security_Classification_System: None
      Metadata_Security_Classification: Unclassified
      Metadata_Security_Handling_Description: None