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State of Connecticut - Potential for Salt Retention in Soils due to Coastal Saltwater Inundation

Frequently-asked questions:


What does this data set describe?

Title:
State of Connecticut - Potential for Salt Retention in Soils due to Coastal Saltwater Inundation

Abstract:
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

Supplemental information:
Digital versions of hydrography, cultural features, and other
associated layers that are not part of the SSURGO data set may be
available from the primary organization listed in the Point of
Contact.

  1. How should this data set be cited?

    U.S. Department of Agriculture, Natural Resources Conservation Service , 20181206, State of Connecticut - Potential for Salt Retention in Soils due to Coastal Saltwater Inundation : U.S. Department of Agriculture, Natural Resources Conservation Service , Fort Worth, Texas.

    Online links:
    Other citation details:
    ct600

  2. What geographic area does the data set cover?

    Bounding coordinates:
    West: -73.728
    East: -71.787
    North: 42.050
    South: 40.951

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Beginning date: 20000602
    Ending date: 20181206
    Currentness reference:
    publication date

  5. What is the general form of this data set?

    Geospatial data presentation form: vector digital data

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      This is a Vector data set.

    2. What coordinate system is used to represent geographic features?

      The grid coordinate system used is State Plane Coordinate System

      State Plane Coordinate System
      Lambert conformal conic projection parameters:
      Standard parallel: 41.2
      Standard parallel: 41.86666666666667
      Longitude of central meridian: -72.75
      Latitude of projection origin: 40.83333333333334
      False easting: 999999.999996
      False northing: 499999.999998

      Planar coordinates are encoded using coordinate pair.
      Planar coordinates are specified in survey feet.

      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodetic Reference System 80.
      The semi-major axis of the ellipsoid used is 6378137.00000.
      The flattening of the ellipsoid used is 1/298.257222.

  7. How does the data set describe geographic features?

    ct600_a
    Each area is a delineation of the mapped
    soil unit. It is identified by a symbol.
    A soil boundary depicts the limit of the
    soil area.
     (Source: 
    National Soil Survey Handbook
    Glossary (Exhibit 647-12)
    )

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Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)


  2. Who also contributed to the data set?

  3. To whom should users address questions about the data?

    U.S. Department of Agriculture, Natural Resources Conservation Service
    Resource Soil Scientist
    USDA - Natural Resources Conservation Service
    Connecticut State Office
    344 Merrow Road, Suite A
    Tolland, CT 06084-3917

    860-871-4037 (voice)
    855-934-2776 (FAX)
    jacob.isleib@usda.gov
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Why was the data set created?

SSURGO depicts information about the kinds and distribution of
soils on the landscape. The soil map and data used in the SSURGO
product were prepared by soil scientists as part of the National
Cooperative Soil Survey.

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How was the data set created?

  1. Where did the data come from?

    SCS1 (source 1 of 35)

    U.S. Department of Agriculture, Soil Conservation Service , 1962, Soil Survey of Hartford County: U.S. Government Printing Office, Washington, D.C..

    Type of source media: paper
    Source scale denominator: 20000
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    SCS2 (source 2 of 35)

    U.S. Department of Agriculture, Soil Conservation Service , 1983, Soil Survey of New London County: U.S. Government Printing Office, Washington, D.C..

    Type of source media: paper
    Source scale denominator: 15840
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    SCS3 (source 3 of 35)

    U.S. Department of Agriculture, Soil Conservation Service , 1966, Soil Survey of Tolland County: U.S. Government Printing Office, Washington, D.C..

    Type of source media: paper
    Source scale denominator: 15840
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    NRCS1 (source 4 of 35)

    U.S. Department of Agriculture, Soil Conservation Service , 1996, Soil Survey of Tolland County: U.S. Government Printing Office, Washington, D.C..

    Type of source media: paper
    Source scale denominator: 12000
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    SCS4 (source 5 of 35)

    U.S. Department of Agriculture, Soil Conservation Service , 1981, Soil Survey of Windham County: U.S. Government Printing Office, Washington, D.C..

    Type of source media: paper
    Source scale denominator: 15840
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    SCS5 (source 6 of 35)

    U.S. Department of Agriculture, Soil Conservation Service , 1981, Soil Survey of Fairfield County: U.S. Government Printing Office, Washington, D.C..

    Type of source media: paper
    Source scale denominator: 15840
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    SCS6 (source 7 of 35)

    U.S. Department of Agriculture, Soil Conservation Service , 1979, Soil Survey of New Haven County: U.S. Government Printing Office, Washington, D.C..

    Type of source media: paper
    Source scale denominator: 15840
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    SCS7 (source 8 of 35)

    U.S. Department of Agriculture, Soil Conservation Service , 1979, Soil Survey of Middlesex County: U.S. Government Printing Office, Washington, D.C..

    Type of source media: paper
    Source scale denominator: 15840
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    SCS8 (source 9 of 35)

    U.S. Department of Agriculture, Soil Conservation Service , 1970, Soil Survey of Litchfield County: U.S. Government Printing Office, Washington, D.C..

    Type of source media: paper
    Source scale denominator: 15840
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    NRCS2 (source 10 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , unpublished Material, Soil Survey of Connecticut.

    Type of source media: paper
    Source scale denominator: 12000
    Source contribution:
    information for soil map unit delineations,
    special soil feature locations, and data on soil properties
    

    CTDEP1 (source 11 of 35)

    Connecticut Department of Environmental Protection, unpublished material, multiple digital hydrography subset: Connecticut Department of Environmental Protection, Hartford, Connecticut.

    Type of source media: digital spatial data
    Source scale denominator: 24000
    Source contribution:
    Hydrographic features to include double line streams and area
    features greater than 3 acres in size were subset from
    USGS 1:24000 scale Digital Line Graphs updated to 1985 and 1990
    imagery by NRCS and used as a template for soils digitizing
    

    CTDEP2 (source 12 of 35)

    Connecticut Department of Environmental Protection, 1986, multiple aerial photographs: AeroGraphics Corporation, Bohemia, New York.

    Type of source media: paper
    Source scale denominator: 12000
    Source contribution:
    base material for field mapping and
    soils/land use updates
    

    CTDEP3 (source 13 of 35)

    Connecticut Department of Environmental Protection, 1990, multiple aerial photographs: AeroGraphics Corporation, Bohemia, New York.

    Type of source media: paper
    Source scale denominator: 12000
    Source contribution:
    base material for field mapping and
    soils/land use updates
    

    CTDEP4 (source 14 of 35)

    Connecticut Department of Environmental Protection, unpublished material, multiple inked overlays: Connecticut Department of Environmental Protection, Hartford, Connecticut.

    Type of source media: stable base material
    Source scale denominator: 15840
    Source contribution:
    digitizing source

    USGS1 (source 15 of 35)

    U.S. Geological Survey, 1980, multiple orthophotographic enlargements: U.S. Geological Survey, Reston, Virginia.

    Type of source media: stable base material
    Source scale denominator: 15840
    Source contribution:
    base material for compilation - original
    orthophotoquad scale 1:24000
    

    USGS2 (source 16 of 35)

    U.S. Geological Survey, 1995, multiple 3.75 minute digital orthophoto quadrangles: U.S. Geological Survey, Reston, Virginia.

    Type of source media: CD-ROM
    Source scale denominator: 12000
    Source contribution:
    digital base material for 1:12000 review

    NRCS3 (source 17 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , 2004, Soil Survey Geographic (SSURGO) database for the Connecticut Statewide Update, Subset 1 : U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center , Fort Worth, Texas.

    Type of source media: online
    Source scale denominator: 24000
    Source contribution:
    SSURGO data for revision of spatial data

    NASIS (source 18 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , 2005, National Soil Information System (NASIS) data base: U.S. Department of Agriculture, Natural Resources Conservation Service , Fort Collins, Colorado.

    Type of source media: database
    Source contribution:
    attribute (tabular) information

    NRCS4 (source 19 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , unpublished material, ARC INTERCHANGE files for the survey of State of Connecticut .

    Type of source media: CD-ROM
    Source scale denominator: 24000
    Source contribution:
    digital information containing area and special
    soil features for evaluation
    

    NRCS5 (source 20 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , 2006, National Soil Information System (NASIS) database for State of Connecticut : U.S. Department of Agriculture, Natural Resources Conservation Service, Information Technology Center , Fort Collins, Colorado.

    Type of source media: online
    Source contribution:
    map unit legend used for comparison to spatial
    map unit labels
    

    NRCS6 (source 21 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , 2006, National Soil Information System (NASIS) database for State of Connecticut : U.S. Department of Agriculture, Natural Resources Conservation Service, Information Technology Center , Fort Collins, Colorado.

    Type of source media: online
    Source contribution:
    map unit legend used for comparison to spatial map unit labels
    digital information containing area and special
    soil features for evaluation
    

    NRCS7 (source 22 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , 200703, Soil Survey Geographic (SSURGO) database for the State of Connecticut : U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center , Fort Collins, Colorado.

    Type of source media: online
    Source contribution:
    map unit legend used for comparison to
    spatial map unit labels
    

    NRCS8 (source 23 of 35)

    NOAA National Geophysical Data Center, 2005, Bathymetry.

    Type of source media: online
    Source contribution:
    utilized Geodas Software for ArcView 3.2
    to generate bathymetric grid in ArcGIS 9.1
    

    NRCS9 (source 24 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , 200703, National Soil Information System (NASIS) database for State of Connecticut .

    Type of source media: online
    Source contribution:
    digital information updated for the Coastal
    Zone Soil Survey area in Little Narragansett Bay
    

    RIDA (source 25 of 35)

    Rhode Island Digital Atlas, 2008, Digital Imagery for CT and RI.

    Other citation details:
    Rhode Island E911 Uniform Emergency Telephone System, Pictometry International Corporation, 2008. Pictometric Licensed Images (Spring 2008). Rhode Island Digital Atlas

    Type of source media: online webservice
    Source contribution:
    Digital Imagery of Connecticut and Rhode Island

    NRCS10 (source 26 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , unpublished material, ARCGIS geodatabase for the State of Connecticut.

    Type of source media: online
    Source scale denominator: 12000
    Source contribution:
    source for digital revision

    NRCS11 (source 27 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , 2007-2010, Soil Survey Geographic (SSURGO) databases for adjacent surveys : U.S. Department of Agriculture, Natural Resources Conservation Service, Information Technology Center , Fort Collins, Colorado.

    Online links:
    Other citation details:
    These SSURGO certified soil surveys are adjacent to the Soil Survey of the State of Connecticut (CT600): MA003 - Berkshire County, Massachusetts MA607 - Hampden County, Massachusetts, Central Part MA608 - Hampden and Hampshire Counties, Massachusetts, Western Part MA610 - Hampden and Hampshire Counties, Massachusetts, Eastern Part MA615 - Worcester County, Massachusetts, Southern Part NY027 - Dutchess County, New York NY059 - Nassau County, New York NY079 - Putnam County, New York NY103 - Suffolk County, New York NY119 - Westchester County, New York RI600 - State of Rhode Island

    Type of source media: online
    Source scale denominator: 12000, 24000
    Source contribution:
    source for county boundary

    NRCS12 (source 28 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , unpublished material, region 12 soils geodatabase.

    Type of source media: vector digital data
    Source contribution:
    Source of digital revision

    USGS3 (source 29 of 35)

    U.S. Geological Survey, 20130201, Connecticut 2012 Multispectral Orthophotography.

    Other citation details:
    Publisher CT Environmental Conditions Online (UConn and CT DEEP)

    Type of source media: online webservice
    Source contribution:
    Connecticut 2012 Multispectral Orthophotography

    NRCS13 (source 30 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , unpublished material, region 12 soils geodatabase.

    Type of source media: vector digital data
    Source contribution:
    Source of digital revision

    NRCS14 (source 31 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , unpublished material, region 12 soils geodatabase.

    Type of source media: vector digital data
    Source contribution:
    Source of digital revision

    BING1 (source 32 of 35)

    Microsoft, 2017, Bing Maps.

    Type of source media: online webservice
    Source contribution:
    2016-2017 Orthophotography

    USGS4 (source 33 of 35)

    U.S. Geological Survey (data compiler, editor and publisher) , 19950101, Connecticut Surficial Material Polygon: State of Connecticut, Department of Environmental Protection , Hartford, Connecticut, USA.

    Type of source media: vector digital data
    Source contribution:
    Surficial geology map

    USGS5 (source 34 of 35)

    U.S. Geological Survey, 2000-Present, USGS National Elevation Data.

    Type of source media: raster
    Source scale denominator: 10 meter
    Source contribution:
    Elevation values

    NRCS15 (source 35 of 35)

    U.S. Department of Agriculture, Natural Resources Conservation Service , unpublished material, region 12 soils geodatabase.

    Type of source media: vector digital data
    Source contribution:
    Source of digital revision

  2. What changes have been made?

    Date: 2001 (change 1 of 55)
    Field procedures for the second order soil
    survey included plotting of soil boundaries determined by field
    observation and by interpretation of remotely sensed data.
    Boundaries were verified at closely spaced intervals, and the soils
    in each delineation were identified by traversing and transecting
    the landscape. The classification and map unit names were
    progressively reviewed December 1993 and August 2001.
    

    Data sources used in this process:
    • CTDEP2, CTDEP3, NRCS2

    Date: 1994 (change 2 of 55)
    Hartford County, Connecticut, had a previously
    published soil survey, 1962, at a scale of 1:20000. Land use was
    updated to 1990, limited mapping was performed in areas where
    significant changes in classification occurred, and mapunits were
    correlated to the Connecticut legend.
    

    Data sources used in this process:
    • SCS1

    Date: 1994 (change 3 of 55)
    New London County, Connecticut, had a previously
    published soil survey, 1983, at a scale of 1:15840. Land use was
    updated to 1985/1986. Mapunits were correlated to the Connecticut
    legend. Small mapunits less than 3 acres and narrow drainage ways
    may have been combined with adjacent units.
    

    Data sources used in this process:
    • SCS2

    Date: 1994 (change 4 of 55)
    Tolland County, Connecticut, had a previously
    published soil survey, 1966, at a scale of 1:15840. The original
    survey was developed mainly for agricultural interpretations,
    therefore, wooded areas were not mapped as detailed as open areas.
    Approximately 75% of the county was remapped to current standards
    during the period from 1985 to 1994. The new data was published
    in 1996. Mapunits were correlated to the Connecticut legend.
    

    Data sources used in this process:
    • SCS3, NRCS1

    Date: 1994 (change 5 of 55)
    Windham County, Connecticut, had a previously
    published soil survey, 1981, at a scale of 1:15840. Land use was
    updated to 1985/1986. Mapunits were correlated to the Connecticut
    legend. Small mapunits less than 3 acres and narrow drainage ways
    may have been combined with adjacent units.
    

    Data sources used in this process:
    • SCS4

    Date: 2001 (change 6 of 55)
    Fairfield County, Connecticut, had a previously
    published soil survey, 1981, at a scale of 1:15840. Land use was
    updated to 1990. Mapunits were correlated to the Connecticut legend.
    Small mapunits less than 3 acres and narrow drainage ways may have
    been combined with adjacent units.
    

    Data sources used in this process:
    • SCS5

    Date: 2001 (change 7 of 55)
    New Haven County, Connecticut, had a previously
    published soil survey, 1979, at a scale of 1:15840. Land use was
    updated to 1990. Mapunits were correlated to the Connecticut legend.
    Small mapunits less than 3 acres and narrow drainage ways may have
    been combined with adjacent units.
    

    Data sources used in this process:
    • SCS6

    Date: 2001 (change 8 of 55)
    Middlesex County, Connecticut, had a previously
    published soil survey, 1980, at a scale of 1:15480. Land use was
    updated to 1990, limited mapping was performed in areas where
    significant changes in classification occurred, and mapunits were
    correlated to the Connecticut legend.
    

    Data sources used in this process:
    • SCS7

    Date: 2001 (change 9 of 55)
    Litchfield County, Connecticut, had a previously
    published soil survey, 1970, at a scale of 1:15840. The original
    survey was developed mainly for agricultural interpretations,
    therefore, wooded areas were not mapped as detailed as open areas.
    Approximately 75% of the county was remapped to current standards
    during the period from 1994 to 2001.  Mapunits were correlated
    to the Connecticut legend.
    

    Data sources used in this process:
    • SCS8

    Date: 2001 (change 10 of 55)
    Hydrography was transferred from 1:15840 acetates
    to the 1:15840 orthophotographs as a reference only for soil
    delineations. This data was not digitized from the orthophotographs,
    but digitally subset from USGS DLGs. Field maps and published atlas
    sheets were ratioed to approximately 1:15840 when necessary and then
    manually compiled using imagery transfer techniques to 1:15840
    orthophotograph enlargements. Slight adjustments were made to soil
    boundaries near hydrography for clarity. These adjustments occurred
    along narrow floodplains, shorelines, and other areas of fluctuating
    water levels. Water bodies for Litchfield County were adjusted from
    the aerial photography during remapping. Special soil features were
    compiled on film overlays and manually digitized using GRASS 4.1.3
    and ArcInfo 8.2. Soil delineations were digitized using one of the
    following procedures:
    
    1) Soil delineations were inked on 7mil overlays and scanned at
    300dpi. Utilizing ProVec software, data were edited and converted to
    vector format. Data was then imported into ARC/INFO 3.4D and
    georeferenced to Connecticut State Plane feet - NAD 27. Each
    quadrangle has sixteen tics, therefore, data was transformed by
    ninths maintaining Root Mean Square (RMS) less than .003. The
    hydrography template was imported, vectors edited and labels created.
    
    2) Soil delineations were manually digitized using ARC/INFO 3.2.1.
    Data were registered in Connecticut State Plane coordinates
    maintaining RMS less than .003. Weed and fuzzy tolerances maintained
    at 3. Data were transferred to ARC/INF0 6.0 for approximate
    edgematching and label editing, exported to DLGs, and imported to
    GRASS 4.1.3. Data was projected to UTM coordinates NAD 27 and edited
    for node to node edgematching.
    
    Soil special features were manually digitized by using one of the
    following software products, GRASS 4.1.3 or ArcInfo 8.2. Compilation,
    digitizing, and quality control were performed by soil scientists and
    cartographic technicians at the Connecticut Natural Resources
    Conservation Service. Digital scanning and vector conversion was
    performed by private contractor. Digital editing was performed at
    the Connecticut Natural Resources Conservation Service and the
    Connecticut Department of Environmental Protection - Natural
    Resources Center. Digital soils delineations were visually verified
    using background digital orthophotograph imagery at 1:12000 to ensure
    accuracy at this scale.  Organic soils, bedrock controlled soils and
    other easily identified features were utilized to ensure vertical
    integration and accurate soil delineation placement. Digital review
    for adherence to SSURGO standards was performed by the Missouri NRCS
    Digitizing Unit. Edits were made in ArcEdit. The survey area boundary
    was replaced with the boundary arcs from adjacent surveys, where
    possible. A new ARC/INFO coverage reflecting these edits was produced
    and reviewed for adherence to SSURGO standards by Missouri NRCS
    Regional Digitizing Unit staff. The certified data were uploaded to
    the Soil Data Warehouse for archiving and distribution.
    

    Data sources used in this process:
    • SCS1, SCS2, SCS3, NRCS1, SCS4, SCS5, SCS6, SCS7, SCS8, NRCS2, CTDEP1, USGS1, CTDEP4, USGS2, NRCS3

    Date: 2005 (change 11 of 55)
    The National Soil Information System data base
    was developed by Natural Resources Conservation Service soil
    scientists according to national standards.
    

    Data sources used in this process:
    • NRCS1

    Date: 2005 (change 12 of 55)
    The previously certified digital data of the
    Connecticut Statewide Update, Subset 1, were updated for
    incorporation into the Connecticut statewide survey. Boundaries were
    replaced with the boundary arcs from adjacent subsets of Connecticut
    as well as other adjacent surveys.  The updated data were
    incorporated into the statewide digital data, and a new ARC/INFO
    coverage reflecting these edits was produced with ARC/INFO 7.2.1 and
    reviewed for adherence to SSURGO standards by Missouri NRCS Regional
    Digitizing Unit staff.
    

    Data sources used in this process:
    • NRCS1, NRCS2

    Date: 20050715 (change 13 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20050715 (change 14 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20060512 (change 15 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20060512 (change 16 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20060815 (change 17 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20060817 (change 18 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 2007 (change 19 of 55)
    The survey-wide ARC/INFO Interchange from the online SSURGO data were
    imported to ARC/INFO 9.1 by certification staff at the Montana
    Digitizing Unit. Evaluation macros of June 2004 were applied to the
    data. Map unit labels were compared to an approved map unit legend
    from the National Soil Information System data base.  ARCEDIT was
    used to join to adjacent survey boundaries and verify previous
    adjacent survey joins. The data were uploaded to the soil data
    warehouse staging server.
    

    Data sources used in this process:
    • NRCS4, NRCS5

    Date: 20070321 (change 20 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20070321 (change 21 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20100628 (change 22 of 55)
    A copy of the CT600 spatial data was downloaded in 2010 from the
    Soil Data Mart and converted to a Personal Geodatabase using the
    customized toolbox produced by NRCS.
    

    Data sources used in this process:
    • NRCS7

    Date: 20100628 (change 23 of 55)
    Soils delineations in the coastal zone area of Little Narragansett
    Bay were manually digitized using ArcMap 9.1 by Connecticut Natural
    Resources Conservation Service (NRCS) soil scientists. NOAA
    bathymetry and Rhode Island Digital Data digital imagery were used
    to digitize the area. Digital soil delineations were visually
    verified using background digital imagery and bathymetry at 1:12000
    to ensure accuracy at this scale.  Easily identified landform and
    landscape features in the water were utilized to ensure vertical
    integration and accurate soil delineation placement. Minimum size
    delineation is 1.5 acres for this coastal zone area of Little
    Narragansett Bay, Connecticut.
    

    Data sources used in this process:
    • NRCS7, NRCS8, NRCS9, RIDA

    Date: 20100628 (change 24 of 55)
    The National Soil Information System data base was updated with
    subaqueous soil map units by Natural Resources Conservation Service
    soil scientists according to national standards.
    

    Data sources used in this process:
    • NRCS9

    Date: 20100719 (change 25 of 55)
    Acceptable joins as outlined in National Soils Handbook were
    achieved with all of the surrounding surveys. Spatial digital data
    was edited for node to node edge matching.
    

    Data sources used in this process:
    • NRCS7

    Date: 20101108 (change 26 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20101213 (change 27 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20110322 (change 28 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, generated new rating values for selected interpretations
    using current interpretation rules from the NASIS database.
    

    Data sources used in this process:
    • NASIS

    Date: 20110331 (change 29 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, generated new rating values for selected interpretations
    using current interpretation rules from the NASIS database.
    

    Data sources used in this process:
    • NASIS

    Date: 2013 (change 30 of 55)
    The spatial data for State of Connecticut soil survey area was
    downloaded from the Soil Data Mart on October 15, 2012.  The individual
    shapefiles were appended into a geodatabase for region 12.  The data were
    processed in ARCGIS 10.1 using a topology object with a 0.1 meter cluster
    tolerance for the purpose of eliminating gaps and overlaps within the
    region 12 soils geodatabase.  Individual soil survey area data were
    exported as shapefiles from the regional geodatabase.  A datum
    transformation from NAD83 to WGS84 using the NAD_1983_To_WGS_1984_1 datum
    transformation method was applied to the data.  The data were checked with
    the SSURGO Evaluation scripts provided by U.S. Department of Agriculture,
    Natural Resources Conservation Service. The shapefiles were then uploaded
    to the soil data warehouse for archival and distribution.
    

    Data sources used in this process:
    • NRCS12

    Date: 20131119 (change 31 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20131119 (change 32 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20140715 (change 33 of 55)
    Edits were made during the spring and summer of
    2014 as part of the MLRA 144A - Spatial Edits to CT600 - Phase I?
    MLRA update project.  The purpose of this project was to investigate
    map units with stoniness phases mapped in MLRAs 144A, 144B, and 145
    on a per request basis for site visits related to the Prime and
    Important farmland designations for the FRPP (Farm and Ranch Land
    Protection Program), CT Purchase of Development Rights (PDR) Program,
    and Farmland Policy Protection Act (FPPA). Component properties were
    documented via on-site visits to Farm Bill cooperator land.  Map
    units were then re-correlated to map units with stoniness and/or
    slope phases that agree with the on-site field notes.  A small number
    of spatial edits to polygon boundaries were made to identify the new
    boundaries between stony and stone-cleared areas.  The data were checked with
    the SSURGO Evaluation scripts provided by U.S. Department of Agriculture,
    Natural Resources Conservation Service. The shapefiles were then uploaded
    to the soil data warehouse for archival and distribution.
    

    Data sources used in this process:
    • NRCS12, USGS3

    Date: 20140915 (change 34 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20140915 (change 35 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20141028 (change 36 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20141028 (change 37 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20150922 (change 38 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20150922 (change 39 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20160913 (change 40 of 55)
    The spatial data for State of Connecticut soil survey area was updated for the
    MLRA 144A - Coastal Zone Soil Survey - Phase IV, Branford, CT project. The
    Natural Resources Conservation Service staff of Connecticut, Rhode Island, and
    the 12-TOL, Tolland, CT MLRA soil survey office completed a coastal zone soil
    survey of the shoreline area around Branford, Connecticut. The primary data
    change incorporated the initial mapping of subaqueous soils in an area of three
    separate shellfish leases formerly known as the Lang beds, in the vicinity of
    Branford, CT and the Thimble Islands. A few updates of small extent were also
    made to the mapping of the coastal sub-aerial and intertidal areas in the
    vicinity.  The data were checked with the SSURGO Evaluation scripts provided by
    U.S. Department of Agriculture, Natural Resources Conservation Service. The
    shapefiles were then uploaded to the soil data warehouse for archival and
    distribution.
    

    Data sources used in this process:
    • NRCS13

    Date: 20160913 (change 41 of 55)
    The spatial data for State of Connecticut soil survey area was updated for the
    MLRA 144A - 144B - 145 - Updates to Stoniness Phases on Active Farmland in CT600,
    phase II Project.  The Natural Resources Conservation Service staff in the 12-
    TOL, Tolland, CT MLRA soil survey office completed the edits  The data were
    checked with the SSURGO Evaluation scripts provided by U.S. Department of
    Agriculture, Natural Resources Conservation Service. The shapefiles were then
    uploaded to the soil data warehouse for archival and distribution.
    

    Data sources used in this process:
    • NRCS13

    Date: 20160927 (change 42 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20160927 (change 43 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20160928 (change 44 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20160928 (change 45 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20170102 (change 46 of 55)
    Coastal delineations of SSURGO map unit 301 (Beaches-Udipsamments complex,
    coastal) from CT600 were evaluated using the following basemap materials: Bing
    orthophotography and Surficial Materials Map of Connecticut, Stone and others,
    1992.  Coverage percentages of beaches, unvegetated dune land, vegetated dune
    soils, fill soils (unnaturally surface morphometry/topography and deep green
    vegetation are primary indicators of additions of fill), and urban land were
    visually estimated to determine new map unit assignments.  The Surficial
    Materials Map of Connecticut was also used to interpret whether areas of map unit
    301 were associated with natural coastal landforms or artificial fill.  Slope
    phases were determined using the SSURGO map units as zone features and generating
    zonal statistics using a percent slope raster created from 10m NED elevation
    data.  Min, max, median, mean, majority (i.e., mode) and standard deviation
    values were used to assign slope phases.  Map unit delineation nodes were not
    edited during this phase of updates to dune land areas.
    

    Data sources used in this process:
    • NRCS14, BING1, USGS4, USGS5

    Date: 20170822 (change 47 of 55)
    For the MLRA 144A 145 Updates to Stoniness Phases on Active Farmland in CT600,
    phase III Project, minor edits were made to capture changes in stoniness phase
    classes identified by CT NRCS soils scientists during site visits related to the
    Prime and Important farmland designations for the FRPP (Farm and Ranch Land
    Protection Program), CT Purchase of Development Rights (PDR) Program, and the
    Farmland Policy Protection Act (FPPA).
    The data were checked with the SSURGO Evaluation scripts provided by U.S.
    Department of Agriculture, Natural Resources Conservation Service. The shapefiles
    were then exported and uploaded to the soil data warehouse for archival and
    distribution through Web Soil Survey.
    

    Data sources used in this process:
    • NRCS14

    Date: 20170915 (change 48 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20170915 (change 49 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20180814 (change 50 of 55)
    For the MLRA 144A 145 - Spatial Edits to CT600 Project, minor edits were made
    to capture changes in stoniness phase classes identified by CT NRCS soils
    scientists during site visits related to the Prime and Important farmland
    designations for the FRPP (Farm and Ranch Land Protection Program), CT
    Purchase of Development Rights (PDR) Program, and the Farmland Policy
    Protection Act (FPPA).
    Other edits were made to CT600 in associated with the following projects:
    MLRA 144A 145 CT600 Soil Map Units and HEL Determinations
    MLRA 144A Coastal Zone Soil Survey Phase VI, Niantic River, Niantic Bay, and
    Jordan Cove, CT
    The data were checked with the SSURGO Evaluation scripts provided by U.S.
    Department of Agriculture, Natural Resources Conservation Service. The shapefiles
    were then exported and uploaded to the soil data warehouse for archival and
    distribution through Web Soil Survey.
    

    Data sources used in this process:
    • NRCS15

    Date: 20180905 (change 51 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20180905 (change 52 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20181206 (change 53 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate, upon completion of data quality verification, determined
    that the tabular data should be released for official use. A
    selected set of map units and components in the soil survey legend was
    copied to a staging database, and rating values for selected
    interpretations were generated. The list of selected interpretations is
    stored in the database table named sainterp.
    

    Data sources used in this process:
    • NASIS

    Date: 20181206 (change 54 of 55)
    The Natural Resources Conservation Service State Soil Scientist or
    delegate verified that the labels on the digitized soil map units
    link to map units in the tabular database, and certified the joined
    data sets for release to the Soil Data Warehouse. A system assigned
    version number and date stamp were added and the data were copied to
    the data warehouse. The tabular data for the map units and components
    were extracted from the data warehouse and reformatted into the soil
    data delivery data model, then stored in the Soil Data Mart. The spatial
    data were copied to the Soil Data Mart without change.
    

    Data sources used in this process:
    • NASIS

    Date: 20190204 (change 55 of 55)
    The Natural Resources Conservation Service Resource Soil Scientist exported all subaqueous soil map units from  statewide soil survey of Connecticut (version 18, published 12/06/2018)  to create a relevant subset for the CT Aquaculture Atlas.  Subaqueous soil interpretive class attributes were added using Soil Data Viewer and the following national soil survey interpretations: Eastern Oyster (Crassostrea virginica) Habitat Restoration Suitability, Northern Quahog or Hard Clam (Mercenaria mercenaria) Habitat Suitability, Parent Material Name, and Surface Texture (USDA).  Descriptions for each of these interpretations can be found on Web Soil Survey.  Acres for each map unit delineation were also calculated.

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How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?

    The attribute accuracy is tested by manual
    comparison of the source with hard copy plots and/or symbolized
    display of the map data on an interactive computer graphic system.
    Selected attributes that cannot be visually verified on plots or
    on screen are interactively queried and verified on screen. In
    addition, the attributes are tested against a master set of valid
    attributes. All attribute data conform to the attribute codes in
    the signed classification and correlation document and amendment(s).
    

  2. How accurate are the geographic locations?

    The accuracy of these digital data is based upon their
    compilation to base maps that meet National Map
    Accuracy Standards at a scale of 1 inch equals 1,000
    feet. The difference in positional accuracy between the
    soil boundaries and special soil features locations in the
    field and their digitized map locations is unknown. The
    locational accuracy of soil delineations on the ground varies
    with the transition between map units.
    
    For example, on long gently sloping landscapes the transition
    occurs gradually over many feet. Where landscapes change
    abruptly from steep to level, the transition will be very
    narrow. Soil delineation boundaries and special soil features
    generally were digitized within 0.01 inch of their locations on
    the digitizing source. The digital map elements are edge matched
    between data sets. The data along each quadrangle edge are
    matched against the data for the adjacent quadrangle. Edge
    locations generally do not deviate from centerline to centerline
    by more than 0.01 inch.
    

  3. How accurate are the heights or depths?

  4. Where are the gaps in the data? What is missing?

    A map unit is a collection of areas defined and named in terms of
    their soil components or miscellaneous areas or both. Each map
    unit differs in some respect from all others in a survey area and
    each map unit has a symbol that uniquely identifies the map unit
    on a soil map. Each individual area, point, or line so identified
    on the map is a delineation.
    
    Soil Scientists identify small areas of soils or miscellaneous areas
    that have properties and behavior significantly different than the
    named soils in the surrounding map unit. These minor components
    may be indicated as special features. If they have a minimal effect
    on use and management, or could not be precisely located, they may
    not be indicated on the map.
    
    A map unit has specified kinds of soils or miscellaneous areas
    (map unit components), each with a designated range in
    proportionate extent. Map units include one or more kinds of soil
    or miscellaneous area. Miscellaneous areas are areas that have little
    or no recognizable soil.
    
    Specific National Cooperative Soil Survey standards and procedures
    were used in the classification of soils, design and name of map
    units, and location of special soil features. These standards are
    outlined in Agricultural Handbook 18, Soil Survey Manual, 1993,
    USDA, NRCS; Agricultural Handbook 436, Soil Taxonomy, 1995,
    USDA, NRCS; and all Amendments; Keys to Soil Taxonomy,
    (current issue) USDA, NRCS; National Soil Survey
    Handbook, title 430-VI,(current issue) USDA, NRCS.
    
    The actual composition and interpretive purity of the map unit
    delineations were based on data collected by scientists during
    the course of preparing the soil maps. Adherence to National
    Cooperative Soil Survey standards and procedures is based on
    peer review, quality control, and quality assurance. Quality
    control is outlined in the memorandum of understanding for the
    soil survey area and in documents that reside with the Natural
    Resources Conservation Service state soil scientist. Four kinds
    of map units are used in soil surveys: consociations, complexes,
    associations, and undifferentiated groups.
    
    Consociations - Consociations are named for the dominant soil.
    In a consociation, delineated areas use a single name from the
    dominant component in the map unit. Dissimilar components are
    minor in extent. The soil component in a consociation may be
    identified at any taxonomic level. Soil series is the lowest
    taxonomic level. A consociation that is named as a miscellaneous
    area is dominantly that kind of area and minor components do not
    significantly affect the use of the map unit. The total amount of
    dissimilar inclusions of other components in a map unit generally
    does not exceed about 15 percent if limiting and 25 percent if
    nonlimiting. A single component of a dissimilar limiting inclusion
    generally does not exceed 10 percent if very contrasting.
    
    Complexes and associations - Complexes and associations consist
    of two or more  dissimilar components that occur in a regularly
    repeating pattern. The total amount of other dissimilar components
    is minor extent. The following arbitrary rule determines whether
    complex or association is used in the name. The major components
    of an association can be separated at the scale of mapping. In
    either case, because the major components are sufficiently different
    in morphology or behavior, the map unit cannot be called a
    consociation. In each delineation of a complex or an association,
    each major component is normally present though their proportions
    may vary appreciably from one delineation to another. The total
    amount of inclusions in a map unit that are dissimilar to any of
    the major components does not exceed 15 percent if limiting and
    25 percent if nonlimiting. A single kind of dissimilar limiting
    inclusion usually does not exceed 10 percent.
    
    Undifferentiated groups - Undifferentiated groups consist of two
    or more components that are not consistently associated
    geographically and, therefore, do not always occur together in
    the same map delineation. These components are included in the
    same named map unit because their use and management are the same
    or very similar for common uses. Generally they are grouped together
    because some common feature, such as steepness, stoniness, or
    flooding, determines their use and management. If two or more
    additional map units would serve no useful purpose, they may be
    included in the same unit. Each delineation has at least one of the
    major components, and some may have all of them. The same principles
    regarding the proportion of minor components that apply to
    consociations also apply to undifferentiated groups. The same
    principles regarding proportion of inclusion apply to
    undifferentiated groups as to consociations.
    
    Minimum documentation consists of three complete soil profile
    descriptions that are collected for each soil added to the legend,
    one additional per 3,000 acres mapped; three 10 observation
    transects for each map unit, one additional 10 point transect per
    3,000 acres.
    
    A defined standard or level of confidence in the interpretive
    purity of the map unit delineations is attained by adjusting the
    kind and intensity of field investigations. Field investigations
    and data collection are carried out in sufficient detail to name
    map units and to identify accurately and consistently areas of
    about 3 acres.
    

  5. How consistent are the relationships among the observations, including topology?

    Certain node/geometry and topology GT- polygon/chain relationships
    are collected or generated to satisfy topological requirements
    (the GT-polygon corresponds to the soil delineation). Some of these
    requirements include: chains must begin and end at nodes, chains
    must connect to each other at nodes, chains do not extend through
    nodes, left and right GT-polygons are defined for each chain
    element and are consistent throughout, and the chains representing
    the limits of the file are free of gaps. The tests of logical
    consistency are performed using vendor software. All internal
    polygons are tested for closure with vendor software and are checked
    on hard copy plots. All data are checked for common soil lines (i.e.,
    adjacent polygons with the same label). Edge locations generally do
    not deviate from centerline to centerline by more than 0.01 inch.
    
    The Soil Survey of Connecticut is bordered on the north by the State
    of Massachusetts; to the east by the State of Rhode Island; to the
    south by Long Island Sound and to the west by the State of New York.
    
    The Soil Survey of the State of Connecticut (CT600) is edge matched
    to all of the adjacent SSURGO certified soil surveys:
    MA003  -  Berkshire County, Massachusetts
    MA607  -  Hampden County, Massachusetts, Central Part
    MA608  -  Hampden and Hampshire Counties, Massachusetts, Western Part
    MA610  -  Hampden and Hampshire Counties, Massachusetts, Eastern Part
    MA615  -  Worcester County, Massachusetts, Southern Part
    NY027  -  Dutchess County, New York
    NY059  -  Nassau County, New York
    NY079  -  Putnam County, New York
    NY103  -  Suffolk County, New York
    NY119  -  Westchester County, New York
    RI600  -  State of Rhode Island
    
    The soil survey area boundaries match.
    
    Feature edges in this soil survey are not matched to those in
    Westchester County, New York, Putnam County, New York, Dutchess County,
    New York, Berkshire County, Massachusetts, Hampden and Hampshire
    Counties, Western Part, Massachusetts, Hampden and Hampshire Counties,
    Eastern Part, Massachusetts, and the State of Rhode Island soil
    surveys. Acceptable joins as outlined in Revisions to the National
    Soils Handbook, dated 8/27/97 were achieved with all of the surrounding
    surveys. Feature labels do not always match, but soil interpretations
    are similar enough to achieve an acceptable join. Map units in this
    survey that join map units in adjacent surveys share a common
    component, common stoniness class, and common slopes. Differences
    across state lines occurred relative to map unit design and scales
    used in mapping. Typically, map units designed for a scale of 1:12000
    are comprised of consociations, complexes, and undifferientiated
    units. Complexes and undifferentiated units are comprised of two or
    more components. In areas where these complexes or undifferentiated
    units join a consociation (one named component), this is an acceptable
    join if the adjoining map units share a common component, common
    stoniness class, and common slopes thus resulting in similar soil
    interpretations. An exception is made for adjoining organic soils,
    which are considered to match. The scale is used to determine how much
    detail can be shown on the map. To deal with the limitations of scale,
    some map units were designed to cover two stoniness classes and two
    slope classes. Where map units that are very stony join extremely
    stony, they will be considered an acceptable join since each stoniness
    class is commonly an inclusion in the other during the mapping process.
    Non-stony map units must match non-stony map units. Overlapping slope
    ranges will be considered as matching.
    

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How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access constraints: None
Use constraints:
The U.S. Department of Agriculture, Natural Resources Conservation
Service, should be acknowledged as the data source in products
derived from these data.

This data set is not designed for use as a primary regulatory tool
in permitting or citing decisions, but may be used as a reference
source. This is public information and may be interpreted by
organizations, agencies, units of government, or others based on
needs; however, they are responsible for the appropriate
application. Federal, State, or local regulatory bodies are not to
reassign to the Natural Resources Conservation Service any
authority for the decisions that they make. The Natural Resources
Conservation Service will not perform any evaluations of these maps
for purposes related solely to State or local regulatory programs.

Photographic or digital enlargement of these maps to scales greater
than at which they were originally mapped can cause misinterpretation
of the data. If enlarged, maps do not show the small areas of
contrasting soils that could have been shown at a larger scale. The
depicted soil boundaries, interpretations, and analysis derived from
them do not eliminate the need for onsite sampling, testing, and
detailed study of specific sites for intensive uses. Thus, these data
and their interpretations are intended for planning purposes only.
Digital data files are periodically updated. Files are dated, and
users are responsible for obtaining the latest version of the data.

Distributor 1 of 1

  1. Who distributes the data set?

    U.S. Department of Agriculture, Natural Resources Conservation Service, National Geospatial Center of Excellence
    501 West Felix Street, Building 23
    Fort Worth, Texas 76115

    800 672 5559 (voice)
    817 509 3469 (FAX)

  2. What's the catalog number I need to order this data set?

    State of Connecticut SSURGO

  3. What legal disclaimers am I supposed to read?

    Although these data have been processed successfully on a computer
    system at the U.S. Department of Agriculture, no warranty expressed
    or implied is made by the Agency regarding the utility of the data
    on any other system, nor shall the act of distribution constitute
    any such warranty. The U.S. Department of Agriculture will warrant
    the delivery of this product in computer readable format, and will
    offer appropriate adjustment of credit when the product is determined
    unreadable by correctly adjusted computer input peripherals, or
    when the physical medium is delivered in damaged condition. Request
    for adjustment of credit must be made within 90 days from the date
    of this shipment from the ordering site.
    
    The U.S. Department of Agriculture, nor any of its agencies are
    liable for misuse of the data, for damage, for transmission of
    viruses, or for computer contamination through the distribution of
    these data sets. The U.S. Department of Agriculture (USDA) prohibits
    discrimination in all its programs and activities on the basis of race,
    color, national origin, sex, religion, age, disability, political
    beliefs, sexual orientation, or marital or family status. (Not all
    prohibited bases apply to all programs.)
    

  4. How can I download or order the data?

  5. Is there some other way to get the data?

  6. What hardware or software do I need in order to use the data set?

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Who wrote the metadata?

Dates:
Last modified: 20181206

Metadata author:
U.S. Department of Agriculture, Natural Resources Conservation Service
Resource Soil Scientist
USDA - Natural Resources Conservation Service
Connecticut State Office
344 Merrow Road, Suite A
Tolland, CT 06084-3917

860-871-4037 (voice)
855-934-2776 (FAX)
jacob.isleib@usda.gov

Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata(FGDC-STD-001-1998)

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