# NLCD2011 USFS Percent Tree Canopy (Analytical Version)

Metadata also available as

# Metadata:

- Identification_Information
- Data_Quality_Information
- Spatial_Data_Organization_Information
- Spatial_Reference_Information
- Entity_and_Attribute_Information
- Distribution_Information
- Metadata_Reference_Information

Identification_Information:
  Citation:
    Citation_Information:
      Publication_Date: 20140331
      Title: NLCD2011 USFS Percent Tree Canopy (Analytical Version)
      Edition: 1.0
      Geospatial_Data_Presentation_Form: raster digital data
      Series_Information:
        Series_Name: none
        Issue_Identification: none
      Publication_Information:
        Publication_Place: USGS/EROS, Sioux Falls, SD, 57198-0001, US, 47914 252nd Street
        Publisher: U.S. Geological Survey
      Other_Citation_Details:

        References:

        Benton et al., (In Preparation). A strategy for estimating tree canopy cover using Landsat 5 Thematic Mapper (TM) images over large areas.

        Brand, Gary J.; Nelson, Mark D.; Wendt, Daniel G.; Nimerfro, Kevin K. 2000. The hexagon/panel system for selecting FIA plots under an annual inventory. In: McRoberts, Ronald E.; Reams, Gregory A.; Van Deusen, Paul C., eds. Proceedings of the First Annual Forest Inventory and Analysis Symposium; Gen. Tech. Rep. NC-213. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Research Station: 8-13.

        Breiman, L. 2001. Random forests. Machine Learning 45:15–32.

        Chander, G.; Markham, B.L.; Helder, D.L. 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 113(2009): 893-903.

        Chavez, P.S. 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment 24(1988): 459-479.

        Coulston, John W.; Jacobs, Dennis M.; King, Chris R.; Elmore, Ivey C. 2013. The influence of multi-season imagery on models of canopy cover: a case study. Photogrammetric Engineering & Remote Sensing 79(5):469–477.

        Coulston, John W.; Moisen, Gretchen G.; Wilson, Barry T.; Finco, Mark V.; Cohen, Warren B.; Brewer, C. Kenneth. 2012. Modeling percent tree canopy cover: a pilot study. Photogrammetric Engineering & Remote Sensing 78(7): 715–727.

        Cutler, R.D.; Edwards, T.C.; Beard, K.H.; Cutler, A.; Hess, K.T.; Gibson, J.; Lawler, J.J. 2007. Random forest for classification in ecology. Ecology 88 (11):2783-2792.

        Huang, C.; Yang, L.; Wylie, B.; Homer, C. 2001. A strategy for estimating tree canopy density using Landsat 7 ETM+ and high resolution images over large areas. In: Third International Conference on Geospatial Information in Agriculture and Forestry; November 5-7, 2001; Denver, Colorado. CD-ROM, 1 disk.

        Moisen, Gretchen G.; Coulston, John W.; Wilson, Barry T.; Cohen, Warren B.; Finco, Mark V.
        2012. Choosing appropriate subpopulations for modeling tree canopy cover nationwide. In: McWilliams, Will; Roesch, Francis A., eds. 2012. Monitoring Across Borders: 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists. e-Gen. Tech. Rep. SRS-157. Asheville, NC: US Department of Agriculture, Forest Service, Southern Research Station: 195-200.

        Tipton, John; Moisen, Gretchen; Patterson, Paul; Jackson, Thomas A.; Coulston, John. 2012. Sampling intensity and normalizations: Exploring cost-driving factors in nationwide mapping of tree canopy cover. In: McWilliams, Will; Roesch, Francis A., eds. 2012. Monitoring Across Borders: 2010 Joint Meeting of the Forest Inventory and Analysis (FIA) Symposium and the Southern Mensurationists. e-Gen. Tech. Rep. SRS-157. Asheville, NC: US Department of Agriculture, Forest Service, Southern Research Station: 201-208.

        Zhu, Z.; Woodcock, C.E. 2012. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment. 118(2012): 83-94.

      Larger_Work_Citation:
        Citation_Information:
          Publication_Date: 20140101
          Title: NLCD 2011
          Edition: 4.0
          Geospatial_Data_Presentation_Form: raster digital data
          Series_Information:
            Series_Name: none
            Issue_Identification: none
          Publication_Information:
            Publication_Place: Sioux Falls, SD
            Publisher: U.S. Geological Survey
          Other_Citation_Details:

            References:

            Fry, J.; Xian, G.; Jin, S.; Dewitz, J.; Homer, C.; Yang, L.; Barnes, C.; Herold, N.; Wickham, J. 2011. Completion of the 2006 National Land Cover Database for the conterminous United States, Photogrammetric Engineering & Remote Sensing 77(9):858-864.

            Homer, C.; Gallant, A. 2001. Partitioning the conterminous United States into mapping zones for Landsat TM land cover mapping, USGS Draft White Paper. http://landcover.usgs.gov/pdf/homer.pdf

            Homer, C.; Huang, C.; Yang, L.; Wylie, W.; Coan, M. 2004. Development of a 2001 National Land-Cover Database for the United States. Photogrammetric Engineering & Remote Sensing 70(7): 829-840.

          Online_Linkage: <http://www.mrlc.gov/nlcd2006.php>
  Description:
    Abstract:
      The National Land Cover Database 2011 (NLCD2011) percent tree canopy cover (TCC 2011) layer was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium (www.mrlc.gov). The MRLC Consortium is a partnership of federal agencies, consisting of the U.S. Geological Survey, the National Oceanic and Atmospheric Administration, the U.S. Environmental Protection Agency, the U.S. Department of Agriculture (USDA) National Agricultural Statistics Service, the U.S. Forest Service, the National Park Service, the U.S. Fish and Wildlife Service, the Bureau of Land Management, NASA, and the U.S. Army Corps of Engineers. One of the primary goals of the project was to generate a current, consistent, and seamless national land cover, percent tree canopy cover, and percent impervious cover at medium spatial resolution. TCC 2011 is the NLCD tree canopy cover dataset for CONUS at medium spatial resolution (30 m). It was produced by the USDA Forest Service Remote Sensing Applications Center (RSAC). The TCC 2011 dataset has two layers: percent tree canopy cover and standard error. For the tree canopy cover layer, the pixel values range from 0 to 100 percent. For the standard error layer, the pixel values range from 0 to 45 percent. The standard error represents the model uncertainty associated with the corresponding pixel in the tree canopy cover layer. The tree canopy cover layer was produced using a Random Forests™ regression algorithm and the standard error layer was calculated from the variance of the canopy cover estimates from the random forest regression trees.
    Purpose:
      The goal of this project is to provide the Nation with complete, current and consistent public domain information on its tree canopy cover.
    Supplemental_Information:
      Corner Coordinates (center of pixel, meters): upper left: -2362845 (X), 3180555(Y); lower right: 2266440 (X), 251175 (Y).
  Time_Period_of_Content:
    Time_Period_Information:
      Range_of_Dates/Times:
        Beginning_Date: 20070101
        Ending_Date: 20110101
    Currentness_Reference: Ground condition
  Status:
    Maintenance_and_Update_Frequency: As needed
  Spatial_Domain:
    Bounding_Coordinates:
      West_Bounding_Coordinate: -130.232828
      East_Bounding_Coordinate: -63.672192
      North_Bounding_Coordinate: 52.877264
      South_Bounding_Coordinate: 21.742308
  Keywords:
    Theme:
      Theme_Keyword_Thesaurus: None
      Theme_Keyword: Digital Spatial Data
      Theme_Keyword: U.S. Forest Service
      Theme_Keyword: Remote Sensing
      Theme_Keyword: Percent Tree Canopy
      Theme_Keyword: Continuous
      Theme_Keyword: GIS
      Theme_Keyword: Tree Canopy Cover
      Theme_Keyword: USFS
    Theme:
      Theme_Keyword_Thesaurus: ISO 19115 Category
      Theme_Keyword: Earth Covers
      Theme_Keyword: Imagery
      Theme_Keyword: Base Map
    Place:
      Place_Keyword_Thesaurus:
        U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4: Washington, D.C., National Institute of Standards and Technology
      Place_Keyword: U.S.A.
      Place_Keyword: United States of America
      Place_Keyword: US
      Place_Keyword: United States
      Place_Keyword: USA
      Place_Keyword: U.S.
  Access_Constraints: None
  Use_Constraints:
    Any hardcopy or electronic products utilizing these datasets will clearly indicate their source. If the user has modified the data in any way, they are obligated to describe the types of modifications they have performed. User specifically agrees not to misrepresent these data sets, nor to imply that the MRLC approved the changes. Any data downloaded must be properly cited.
  Point_of_Contact:
    Contact_Information:
      Contact_Organization_Primary:
        Contact_Organization: U.S. Geological Survey
      Contact_Position: Customer Services Representative
      Contact_Address:
        Address_Type: mailing and physical
        Address: USGS/EROS
        Address: 47914 252nd Street
        City: Sioux Falls
        State_or_Province: SD
        Postal_Code: 57198-0001
        Country: US
      Contact_Voice_Telephone: 605/594-6151
      Contact_TDD/TTY_Telephone: 605/594-6933
      Contact_Facsimile_Telephone: 605/594-6589
      Contact_Electronic_Mail_Address: custserv@usgs.gov
      Hours_of_Service: 0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
      Contact_Instructions:
        The USGS point of contact is for questions relating to the data display and download from this web site. For questions regarding data content and quality, refer to: <http://www.mrlc.gov/mrlc2k.asp> or email: mrlc@usgs.gov
  Data_Set_Credit: USDA Forest Service Remote Sensing Applications Center
  Security_Information:
    Security_Classification_System: none
    Security_Classification: Unclassified
    Security_Handling_Description: n/a
  Native_Data_Set_Environment:
    Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcGIS 10.0.5.4400

Data_Quality_Information:
  Attribute_Accuracy:
    Attribute_Accuracy_Report:
      No formal independent accuracy assessment of TCC 2011 has been made. The Random Forests™ regression algorithm (Breiman 2001; Cutler et al. 2007) employed in TCC 2011 mapping calculates the mean of squared residuals along with percent variability explained by the model for assessing prediction reliability. The Random Forests™ models consisted of 500 decision trees, which were used to determine the final response value. The response of each tree depended on a randomly chosen subset of predictor variables chosen independently (with replacement) for evaluation by that tree. The responses of the trees were averaged to obtain an estimate of the dependent variable. The standard error is the square root of the variance of the estimates given by all trees. A summary of the Random Forests™ models is available in the supplemental metadata.
  Completeness_Report:
    This CONUS TCC 2011 product is the percent tree canopy layer version 1, dated 2014. The CONUS TCC 2011 dataset consists of two main data products: (1) per-pixel tree canopy cover and (2) per-pixel standard error for the predicted tree canopy cover. A summary of all the Landsat images and the predictor variables that were used for modeling tree canopy cover using the Random Forests™ regression algorithm is available in the supplemental metadata. For detailed information, please refer to <http://www.mrlc.gov>.
  Lineage:
    Source_Information:
      Source_Citation:
        Citation_Information:
          Originator: Multi-Resolution Land Characteristics Consortium (MRLC)
          Publication_Date: 20110101
          Title: NLCD 2006 Land Cover
          Geospatial_Data_Presentation_Form: raster digital data
          Publication_Information:
            Publication_Place: Sioux Falls, SD
            Publisher: U.S. Geological Survey
      Type_of_Source_Media: None
      Source_Citation_Abbreviation: NLCD06LC
      Source_Contribution: land cover information
    Source_Information:
      Source_Citation:
        Citation_Information:
          Originator: U.S. Geological Survey
          Publication_Date: unknown
          Title: Landsat 5 Multispectral Thematic Mapper Imagery
          Geospatial_Data_Presentation_Form: raster digital data
          Publication_Information:
            Publication_Place: Sioux Falls, SD
            Publisher: U.S. Geological Survey
      Type_of_Source_Media: None
      Source_Citation_Abbreviation: L5
      Source_Contribution: spectral information
    Source_Information:
      Source_Citation:
        Citation_Information:
          Originator: USDA Forest Service Remote Sensing Applications Center
          Publication_Date: unpublished material
          Title: X-Coordinate
          Geospatial_Data_Presentation_Form: raster digital data
      Type_of_Source_Media: None
      Source_Citation_Abbreviation: XCoord
      Source_Contribution: east-west location (relative to 96.0 W longitude)
    Source_Information:
      Source_Citation:
        Citation_Information:
          Originator: USDA Forest Service Remote Sensing Applications Center
          Publication_Date: unpublished material
          Title: Y-Coordinate
          Geospatial_Data_Presentation_Form: raster digital data
      Type_of_Source_Media: None
      Source_Citation_Abbreviation: YCoord
      Source_Contribution: north-south location (relative to 23.0 N latitude)
    Source_Information:
      Source_Citation:
        Citation_Information:
          Originator: USDA Forest Service Forest Inventory and Analysis Program
          Publication_Date: unpublished material
          Title: Photo-interpreted Canopy Cover (FIA)
          Geospatial_Data_Presentation_Form: vector digital data
      Type_of_Source_Media: None
      Source_Citation_Abbreviation: FIACC
      Source_Contribution: canopy cover estimate (training/validation)
    Source_Information:
      Source_Citation:
        Citation_Information:
          Originator: USDA Forest Service Rocky Mountain Research Station
          Publication_Date: 19950101
          Title: Bailey's Ecoregion Sections
          Geospatial_Data_Presentation_Form: raster digital data
          Publication_Information:
            Publication_Place: Fort Collins, CO
            Publisher: USDA Forest Service Rocky Mountain Research Station
      Type_of_Source_Media: None
      Source_Citation_Abbreviation: Bailey
      Source_Contribution: ecosystem geography
    Source_Information:
      Source_Citation:
        Citation_Information:
          Originator: U.S. Geological Survey
          Publication_Date: unpublished material
          Title: Digital Elevation Model (DEM)
          Geospatial_Data_Presentation_Form: raster digital data
      Type_of_Source_Media: None
      Source_Citation_Abbreviation: DEM
      Source_Contribution: elevation data
    Source_Information:
      Source_Citation:
        Citation_Information:
          Originator: Multi-Resolution Land Characteristics Consortium (MRLC)
          Publication_Date: 20030101
          Title: NLCD2001 Percent Tree Canopy Cover
          Geospatial_Data_Presentation_Form: raster digital data
          Publication_Information:
            Publication_Place: Sioux Falls, SD
            Publisher: U.S. Geological Survey
      Type_of_Source_Media: None
      Source_Citation_Abbreviation: NLCD01TC
      Source_Contribution: percent tree canopy cover
    Source_Information:
      Source_Citation:
        Citation_Information:
          Originator: USDA Forest Service Remote Sensing Applications Center
          Publication_Date: unpublished material
          Title: Landsat 5 Multispectral Composite Imagery
          Geospatial_Data_Presentation_Form: raster digital data
      Type_of_Source_Media: None
      Source_Citation_Abbreviation: L5Comp
      Source_Contribution: spectral information
    Process_Step:
      Process_Description:
        Creation of Landsat derivatives. Spectral derivative images were calculated from the Landsat composite image for each WRS-2 path/row. NDMI (normalized difference moisture index), NDVI (normalized difference vegetation index), and the 6-band tasseled cap transformation (Crist and Kauth1986) were calculated following industry standards. Focal standard deviations (FSD) were also calculated for the composite image (all bands), NDMI, NDVI, and the tasseled cap derivative (all bands).
      Source_Used_Citation_Abbreviation: L5Comp
      Process_Date: 20130101
      Source_Produced_Citation_Abbreviation: TasCapFSD
      Source_Produced_Citation_Abbreviation: NDMI
      Source_Produced_Citation_Abbreviation: NDVI
      Source_Produced_Citation_Abbreviation: NDMIFSD
      Source_Produced_Citation_Abbreviation: L5FSD
      Source_Produced_Citation_Abbreviation: TasCap
      Source_Produced_Citation_Abbreviation: NDVIFSD
    Process_Step:
      Process_Description:
        Creation of DEM derivatives. A CONUS-wide 30-m DEM, ortho-rectified to the 2001 NLCD percent tree canopy cover dataset, was provided by USGS for this project. Slope, aspect, and the sine and cosine of aspect were calculated for each pixel following industry standards. Focal standard deviations (FSD) were also calculated for the DEM and each derivative dataset. Each of these data layers was subset to individual WRS-2 path/row boundaries for use in subsequent processes.
      Source_Used_Citation_Abbreviation: DEM
      Process_Date: 20130101
      Source_Produced_Citation_Abbreviation: SlopeFSD
      Source_Produced_Citation_Abbreviation: Aspect
      Source_Produced_Citation_Abbreviation: DEMFSD
      Source_Produced_Citation_Abbreviation: AspCosFSD
      Source_Produced_Citation_Abbreviation: AspCos
      Source_Produced_Citation_Abbreviation: Slope
      Source_Produced_Citation_Abbreviation: AspectFSD
      Source_Produced_Citation_Abbreviation: AspSinFSD
      Source_Produced_Citation_Abbreviation: AspSin
    Process_Step:
      Process_Description:
        Creation of Landsat composite. Fifteen Landsat 5 scenes were selected and processed for each WRS-2 path/row. Selected scenes were acquired between 2007 and 2011, with the majority evenly distributed between 2009, 2010 and 2011. The selection process favored scenes with minimal cloud cover and with MODIS-based NDVI values near the annual peak for the dominant forest cover type. Remaining clouds were removed using the Fmask tool (Zhu and Woodcock 2012). Six spectral bands (TM bands 1-5 and 7) within each scene were atmospherically corrected with dark object subtraction and transformed to surface reflectance (Chander et al. 2009; Chavez 1988). Each set of 15 6-band scenes was then combined to form a cloud-free composite image for the given path/row.
      Source_Used_Citation_Abbreviation: L5
      Process_Date: 20130101
      Source_Produced_Citation_Abbreviation: L5Comp
    Process_Step:
      Process_Description:
        Creation of NLCD 2001 percent tree canopy cover derivative. Focal standard deviations (FSD) were calculated for the NLCD 2001 tree canopy data. The dataset was then subset to individual WRS-2 path/row boundaries for use in subsequent processes.
      Source_Used_Citation_Abbreviation: NLCD01TC
      Process_Date: 20130101
      Source_Produced_Citation_Abbreviation: NLCD01TCFSD
    Process_Step:
      Process_Description:
        Creation of percent tree canopy cover dataset (main process). For practical reasons, the NLCD 2011 percent tree canopy cover (TCC 2011) CONUS dataset was created piecewise in 68 zones, called “mapping areas”. Each mapping area was based on the zones defined in Homer and Gallant (2001), but extended to include the footprint of all WRS-2 path/rows that intersected the given zone. Each mapping area included between 9 and 27 WRS-2 path/rows. The final dataset is a mosaic of TCC 2011 for all CONUS WRS-2 path/rows. Five major steps were employed to map tree canopy cover: collection of reference data, acquisition and/or creation of predictor layers, calibration of Random Forests™ regression models for each mapping area using reference data and predictor layers, application of those models to predict per-pixel tree canopy cover across the entire mapping area, and creation of the CONUS-wide mosaic. The methodology is described further below and in Coulston et al. (2012). Reference data, consisting of estimated tree canopy cover at each of 63,008 FIA plot locations, were generated via photographic interpretation of high spatial resolution images acquired by the National Agricultural Inventory Program (NAIP). The reference data were collected and supplied by the USDA Forest Service Forest Inventory and Analysis (FIA) program. The spatial distribution of the sample points follows the FIA systematic grid (Brand et al. 2000). Predictor layers included Landsat 5 Thematic Mapper composite imagery and spectral derivatives thereof (NDMI, NDVI, and tasseled cap); elevation data and spatial derivatives thereof (slope and aspect, as well as sine and cosine of aspect); NLCD 2001 percent tree canopy cover; NLCD 2006 land cover; Bailey's eco-regions; and the focal standard deviation of each of the preceding layers except for land cover and eco-regions. Explicit location data were also included as predictor layers. The processes for creating the derived layers are described separately (see related Process Steps). Modeling was carried out using the Random Forests™ (Breiman 2001) data mining technique as outlined in the Attribute Accuracy Report above. To minimize the root mean square error, variable importance information obtained from the Random Forests™ models was used to reduce the number of predictor variables. These reduced datasets were used for the final Random Forests™ modeling. The models developed for each mapping area were applied to individual WRS-2 path/rows within the mapping area, producing a 2-layered image. The first layer was the RandomForests™ estimate of tree canopy cover and the second layer was the standard error, which is the per-pixel square root of the variance of the Random Forests™ estimates from the individual trees. Since models were applied to each mapping area independently, there were multiple estimates for pixels in overlapping areas. For these pixels, the estimate with the lowest standard error was carried into the CONUS-wide mosaic.
      Source_Used_Citation_Abbreviation:
        FIACC, L5Comp, L5FSD, NDMI, NDMIFSD, NDVI, NDVIFSD, TasCap, TasCapFSD, DEM, DEMFSD, Aspect, AspectFSD, AspCos , AspCosFSD, AspSin, AspSinFSD, Slope, SlopeFSD, Bailey, NLCD06LC, NLCD01TC, NLCD01TCFSD, XCoord, YCoord
      Process_Date: 20140101

Spatial_Data_Organization_Information:
  Direct_Spatial_Reference_Method: Raster
  Raster_Object_Information:
    Raster_Object_Type: Pixel
    Row_Count: 104424
    Column_Count: 161190
    Vertical_Count: 0

Spatial_Reference_Information:
  Horizontal_Coordinate_System_Definition:
    Planar:
      Map_Projection:
        Map_Projection_Name: Albers Conical Equal Area
        Albers_Conical_Equal_Area:
          Standard_Parallel: 29.5
          Standard_Parallel: 45.5
          Longitude_of_Central_Meridian: -96.0
          Latitude_of_Projection_Origin: 23.0
          False_Easting: 0.0
          False_Northing: 0.0
      Planar_Coordinate_Information:
        Planar_Coordinate_Encoding_Method: coordinate pair
        Coordinate_Representation:
          Abscissa_Resolution: 0.0000000037527980722984474
          Ordinate_Resolution: 0.0000000037527980722984474
        Planar_Distance_Units:
    Geodetic_Model:
      Horizontal_Datum_Name: D North American 1983
      Ellipsoid_Name: GRS 1980
      Semi-major_Axis: 6378137.0
      Denominator_of_Flattening_Ratio: 298.257222101

Entity_and_Attribute_Information:
  Detailed_Description:
    Entity_Type:
      Entity_Type_Label: nlcd2011_usfs_treecanopy_analytical_3-31-2014.img.vat
    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: Percent tree canopy cover
      Attribute_Domain_Values:
        Range_Domain:
          Range_Domain_Minimum: 0
          Range_Domain_Maximum: 100
          Attribute_Units_of_Measure: Percent
    Attribute:
      Attribute_Label: Count
  Detailed_Description:
    Entity_Type:
      Entity_Type_Label: nlcd2011_usfs_treecanopy_analytical_3-31-2014.img(Layer_2).vat
    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: Standard error
    Attribute:
      Attribute_Label: Count

Distribution_Information:
  Distributor:
    Contact_Information:
      Contact_Organization_Primary:
        Contact_Organization: U.S. Geological Survey
      Contact_Position: Customer Services Representative
      Contact_Address:
        Address_Type: mailing and physical
        Address: USGS/EROS
        Address: 47914 252nd Street
        City: Sioux Falls
        State_or_Province: SD
        Postal_Code: 57198-0001
        Country: US
      Contact_Voice_Telephone: 605-594-6151
      Contact_TDD/TTY_Telephone: 605/594-6933
      Contact_Facsimile_Telephone: 605-594-6589
      Contact_Electronic_Mail_Address: custserv@usgs.gov
      Hours_of_Service: 0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
      Contact_Instructions:
        The USGS point of contact is for questions relating to the data display and download from this web site. For questions regarding data content and quality, refer to: <http://www.mrlc.gov/mrlc2k.asp> or email: mrlc@usgs.gov
  Resource_Description: Downloadable data
  Distribution_Liability: See access and use constraints information.

Metadata_Reference_Information:
  Metadata_Date: 20140326
  Metadata_Contact:
    Contact_Information:
      Contact_Organization_Primary:
        Contact_Organization: U.S. Geological Survey
      Contact_Position: Customer Services Representative
      Contact_Address:
        Address_Type: mailing and physical
        Address: USGS/EROS
        Address: 47914 252nd Street
        City: Sioux Falls
        State_or_Province: SD
        Postal_Code: 57198-0001
        Country: US
      Contact_Voice_Telephone: 605/594-6151
      Contact_TDD/TTY_Telephone: 605/594-6933
      Contact_Facsimile_Telephone: 605/594-6589
      Contact_Electronic_Mail_Address: custserv@usgs.gov
      Hours_of_Service: 0800 - 1600 CT, M - F (-6h CST/-5h CDT GMT)
      Contact_Instructions:
        The USGS point of contact is for questions relating to the data display and download from this web site. For questions regarding data content and quality, refer to: <http://www.mrlc.gov/mrlc2k.asp> or email: mrlc@usgs.gov
  Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
  Metadata_Standard_Version: FGDC-STD-001-1998
  Metadata_Time_Convention: local time

Generated by `mp` version 2.9.6 on Wed Mar 26 13:23:06 2014