SSURGO_Soils

Metadata:
Identification_Information:
Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20100202
Title:
SSURGO_Soils
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service
Other_Citation_Details:
sc015
Online_Linkage: URL:http://SoilDataMart.nrcs.usda.gov/
Online_Linkage: http://cybergis.uncc.edu/santee/searchf.php
Online_Linkage: http://www.srs.fs.usda.gov/charleston
Description:
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 7.5 minute quadrangle format and include a detailed, field verified inventory of soils and nonsoil 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.
Purpose:
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.
Supplemental_Information:
February 2012: The data was downloaded from http://SoilDataMart.nrcs.usda.gov by Julie Arnold of the SEF and clipped to the SEF boundary. The metadata was edited for the SEF database.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 19990305
Currentness_Reference:
publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Description_of_Geographic_Extent:
Bounding_Coordinates:
West_Bounding_Coordinate: -79.835224
East_Bounding_Coordinate: -79.754927
North_Bounding_Coordinate: 33.189531
South_Bounding_Coordinate: 33.125606
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: soil survey
Theme_Keyword: soils
Theme_Keyword: Soil Survey Geographic
Theme_Keyword: SSURGO
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: SC
Place_Keyword: Santee
Place_Keyword: Forest
Place_Keyword: Cordesville
Place_Keyword: Berkeley County
Access_Constraints: None
Use_Constraints:
The U.S. Department of Agriculture, Natural Resources Conservation Service and the USFS Santee Experimental Forest, 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.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service/Southern Research Station/Santee Experimental Forest
Contact_Address:
Address_Type: mailing and physical address
Address: 3734 Hwy 402
City: Cordesville
State_or_Province: SC
Postal_Code: 29434
Contact_Voice_Telephone: (843) 336-5601
Contact_Facsimile_Telephone: (843) 336-5068
Data_Set_Credit:
NRCS
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.4000
Cross_Reference:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: 1980
Title:
Soil Survey of Berkeley County, South Carolina
Geospatial_Data_Presentation_Form: text, table, map
Other_Citation_Details:
This soil survey contains information that can be applied in managing farms and wetlands; in selecting sites for roads, ponds, buildings, and other structures; and in judging the suitability of tracts of land for farming, industry, and recreation. This soil survey 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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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
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).
Logical_Consistency_Report:
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 (neatline) are free of gaps. The tests of logical consistency are performed using vendor software. The neatline is generated by connecting the explicitly entered four corners of the digital file. All data outside the enclosed region are ignored and all data crossing these geographically straight lines are clipped at the neatline. Data within a specified tolerance of the neatline are snapped to the neatline. Neatline straightening aligns the digitized edges of the digital data with the generated neatline (i.e., with the longitude/latitude lines in geographic coordinates). 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). Quadrangles are edge matched within the soil survey area and edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. Quadrangles in this survey are edge matched to quadrangles in the Georgetown County, South Carolina, and Williamsburg County, South Carolina, soil surveys. The quadrangles in this soil survey are not edgematched to those in the Clarendon County, South Carolina, soil survey, Dorchester County, South Carolina, soil survey or the Orangeburg County, South Carolina, soil survey.
Completeness_Report:
A map unit is a collection of areas defined and named the same in terms of their soil and/or nonsoil areas. Each map unit differs in some respect from all others in a survey area and is uniquely identified. Each individual area is a delineation. Each map unit consists of one or more components. Soil scientists identify small areas of soils or miscellaneous (nonsoil) 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. 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, SCS; Agricultural Handbook 436, Soil Taxonomy, Soil Survey Staff, 1975, USDA, SCS; and all Amendments; Keys to Soil Taxonomy, Soil Survey Staff, (current issue); National Soil Survey Handbook, title 430-VI, (current issue). 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 are dominated by a single soil taxon and similar soils. At least one half of the pedons in each delineation are of the same soil component so similar to the named soil that major interpretations are not affected significantly. 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 are named for two or more dissimilar components with the dominant component listed first. They occur in a regularly repeating pattern. The major components of a complex cannot be mapped separately at a scale of about 1:24,000. The major components of an association can be separated at a scale of about 1:24,000. In each delineation of either 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 do not always occur together in the same delineation, but are included in the same named map unit because use and management are the same or similar for common uses. Every delineation has at least one of the major components and some may have all of them. The same principles regarding proportion of inclusions 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 5 acres.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The accuracy of these digital data is based upon their compilation to base maps that meet National Map Accuracy Standards. 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.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: NRCS
Publication_Date: 1983
Title:
SSURGO_Soils
Geospatial_Data_Presentation_Form: remote sensing image
Publication_Information:
Publication_Place: Salt Lake City, Utah
Publisher: U.S. Department of Agriculture, Agricultural Stabilization and Conservation Service
Online_Linkage: URL:http://SoilDataMart.nrcs.usda.gov/
Type_of_Source_Media:
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1996
Source_Currentness_Reference:
publication date
Source_Citation_Abbreviation:
Source_Contribution:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: 1980
Title:
Soil Survey of Berkeley County, South Carolina
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: U.S. Government Printing Office
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1995
Ending_Date: 1996
Source_Currentness_Reference:
publication date
Source_Citation_Abbreviation:
NRCS1
Source_Contribution:
information for soil map unit delineations, and data on soil properties
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 1999
Title:
Berkeley County, South Carolina SSURGO
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1999
Source_Currentness_Reference:
1999
Source_Citation_Abbreviation:
NRCS2
Source_Contribution:
SSURGO data for revision of attribute data
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 2004
Title:
National Soil Information System (NASIS) data base
Geospatial_Data_Presentation_Form: unknown
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service
Type_of_Source_Media: database
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2004
Ending_Date: 2004
Source_Currentness_Reference:
publication date
Source_Citation_Abbreviation:
NASIS
Source_Contribution:
attribute (tabular) information
Process_Step:
Process_Description:
Berkeley County has a previously published soil survey, 1980, at 1:20,000 scale. An evaluation of this survey found that only minor landuse changes had occurred and that the standards and procedures used in the production of this soil survey were accurate.
Source_Used_Citation_Abbreviation:
NRCS1
Process_Date: 1995
Process_Step:
Process_Description:
Soils data are derived from existing county surveys available from the Natural Resources Conservation Service (formerly the Soil Conservation Service). Under a DNR contract, the map sheets are zoom- transferred (ZTS) to topo quadrangle base maps and redrafted to stable base mylar to remove the distortion from the non-rectified photographic base on which they are delineated. The NRCS reviews the draft product to correct any ZTS problems and the data are digitized. After digitization, the data are quality reviewed to ensure edgematching and attributing compliance and linked to the SSURGO tabular attribute files that characterize each soil type for a series of composition, productivity, and suitability variables.
Source_Used_Citation_Abbreviation:
USGS1
Process_Date: 1996
Process_Step:
Process_Description:
The data were imported in ARC/INFO 7.1.2. A review was made of the data. Minor edits were made. New DLG's reflecting these changes were written with ARC/INFO 7.1.2. This work was performed by the Natural Resources Conservation Service staff in Richmond, Virginia.
Source_Used_Citation_Abbreviation:
USGS1, NRCS1
Process_Date: 1999
Process_Step:
Process_Description:
The Map Unit Interpretations Record data base was developed by Natural Resources Conservation Service soil scientists according to national standards.
Source_Used_Citation_Abbreviation:
NRCS1
Process_Date: 1999
Process_Step:
Process_Description:
The National Soil Information System data base was developed by Natural Resources Conservation Service soil scientists according to national standards.
Source_Used_Citation_Abbreviation:
NRCS1
Process_Date: 2002
Process_Step:
Process_Description:
The online SSURGO data were imported to ARC/INFO 7.2.1 at the Natural Resources Conservation Service, Virginia Digitizing Unit. The SSURGO data were processed through revised AMLs dated October 1998. Minor codes were replaced to link spatial data map unit labels to the National Soil Information System data base. New DLG-3's were written. The data were forwarded to the National Cartography and Geospatial Center in Ft. Worth, Texas for archiving and distribution.
Source_Used_Citation_Abbreviation:
NRCS2
Process_Date: 2002
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20040504
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20040504
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20040811
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20040811
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20040819
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20040819
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20060802
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20060918
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20060918
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20090108
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20090108
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20100202
Process_Step:
Process_Description:
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.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20100202
Process_Step:
Process_Description:
The tabular data were extracted from the data mart without change. The spatial data's coordinate system was transformed to UTM Zone 17, Northern Hemisphere (NAD 83) using ESRI ArcObjects 8.3 "ConvertFeatureClass" and exported to an ESRI shapefile.
Source_Used_Citation_Abbreviation:
NASIS
Process_Date: 20120227
Process_Step:
Process_Description:
Metadata imported.
Source_Used_Citation_Abbreviation:
C:\Documents and Settings\jaarnold\My Documents\Working Folders\Santee GIS\NRCS Soils Shapefiles_022712\soil_sc015\soil_metadata_sc015.xml
Process_Date: 20120228
Process_Time: 09344500
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Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 90
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Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 17
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.999600
Longitude_of_Central_Meridian: -81.000000
Latitude_of_Projection_Origin: 0.000000
False_Easting: 500000.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0
Ordinate_Resolution: 0
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137
Denominator_of_Flattening_Ratio: 298.257222
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Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: SSURGO_Soils
Entity_Type_Definition:
Special Soil Features represent soil, nonsoil, or landform features that are too small to be digitized as soil delineations (area features).
Entity_Type_Definition_Source:
U.S. Department of Agriculture. 1993. Soil Survey Manual. Soil Surv. Staff, U.S. Dep. Agric. Handb. 18.
Attribute:
Attribute_Label: FID
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: Shape
Attribute_Definition:
Feature geometry.
Attribute_Definition_Source:
ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
shape type
Attribute:
Attribute_Label: AREASYMBOL
Attribute_Definition:
A five character string where the first two characters are a U.S. state or territory postal code, and the last three characters are digits that represent the soil survey area within the corresponding state or territory.
Attribute_Definition_Source:
NRCS
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: SC015
Enumerated_Domain_Value_Definition:
South Carolina, Berkeley County
Enumerated_Domain_Value_Definition_Source:
NRCS
Attribute:
Attribute_Label: MUSYM
Attribute_Definition:
The symbol used to uniquely identify the soil mapunit in the soil survey.
Attribute_Definition_Source:
NRCS
Attribute_Domain_Values:
Unrepresentable_Domain:
soil series symbol that corresponds to the soil series name
Attribute:
Attribute_Label: MUKEY
Attribute_Definition:
The key for linking information in the National Soil Information System tables.
Attribute_Definition_Source:
NASIS
Attribute_Domain_Values:
Unrepresentable_Domain:
No predefined set of mukeys
Attribute:
Attribute_Label: SOIL_NAME
Attribute_Definition:
NRCS soil series name
Attribute_Definition_Source:
NRCS
Attribute_Domain_Values:
Unrepresentable_Domain:
soil series name that corresponds to the MUSYM
Attribute:
Attribute_Label: AGRICULT
Attribute_Definition:
Description of suitability and importance of farmland
Attribute_Definition_Source:
NRCS
Attribute_Domain_Values:
Unrepresentable_Domain:
assigned text
Attribute:
Attribute_Label: ERODE
Attribute_Definition:
Description of erodibility of land
Attribute_Definition_Source:
NRCS
Attribute_Domain_Values:
Unrepresentable_Domain:
assigned text
Attribute:
Attribute_Label: Shape_Leng
Attribute_Definition:
Length of the perimeter of each shape in meters
Attribute_Definition_Source:
ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
calculated value
Attribute:
Attribute_Label: Shape_Area
Attribute_Definition:
Area of each shape in square meters
Attribute_Definition_Source:
ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
calculated value
Overview_Description:
Entity_and_Attribute_Overview:
Map Unit Delineations are closed polygons that may be dominated by a single soil or nonsoil component plus allowable similar or dissimilar soils, or they can be geographic mixtures of groups of soils or soils and nonsoil areas. The map unit symbol uniquely identifies each closed delineation map unit. Each symbol is linked to a map unit name. The map unit symbol is also the key for linking information in the National Soil Information System tables. The map unit symbols are not carried within the modified Digital Line Graph file; however, they are made available in a companion attribute file. The attribute file links the minor codes in the Digital Line Graph files to the map unit symbols. Map Unit Delineations are described by the National Soil Information System database. This attribute database gives the proportionate extent of the component soils and the properties for each soil. The database contains both estimated and measured data on the physical and chemical soil properties and soil interpretations for engineering, water management, recreation, agronomic, woodland, range, and wildlife uses of the soil. The National Soil Information System database contains static metadata. It documents the data structure and includes such information as what tables, columns, indexes, and relationships are defined as well as a variety of attributes of each of these database objects. Attributes include table and column descriptions and detailed domain information. The National Soil Information System database also contains a distribution metadata. It records the criteria used for selecting map units and components for inclusion in the set of distributed data.
Entity_and_Attribute_Detail_Citation:
U.S. Department of Agriculture. 1999. Soil Taxonomy: A basic system of soil classification for making and interpreting soil surveys. Soil Conserv. Serv., U.S. Dep. Agric. Handb. 436. U.S. Department of Agriculture. (current issue). Keys to Soil Taxonomy. Soil Surv. Staff, Soil Conserv. Serv. U.S. Department of Agriculture. (current issue). National Soil Survey Handbook, title 430-VI. Soil Surv. Staff, Natural Resources Conservation Service. U.S. Department of Agriculture. 1993. Soil Survey Manual. Soil Surv. Staff, U.S. Dep. Agric. Handb. 18.
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service/Southern Research Station/Santee Experimental Forest
Contact_Address:
Address_Type: mailing and physical address
Address: 3734 Hwy 402
City: Cordesville
State_or_Province: SC
Postal_Code: 29434
Contact_Voice_Telephone: (843) 336-5601
Contact_Facsimile_Telephone: (843) 336-5068
Resource_Description: Downloadable Data
Distribution_Liability:
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: ArcView shapefile
Transfer_Size: 35
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: http://cybergis.uncc.edu/santee/searchf.php
Digital_Form:
Digital_Transfer_Information:
Format_Name: ARC/INFO coverage
Format_Information_Content:
spatial
File_Decompression_Technique: WinZip or equivalent
Transfer_Size: 35
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: URL:http://SoilDataMart.nrcs.usda.gov/
Access_Instructions:
Select desired survey area at above Internet Web site. An email address is required for receipt of instructions on retrieval via anonymous FTP. Anticipate a delay between submission of request at Web site and receipt of email message.
Digital_Form:
Digital_Transfer_Information:
Format_Name: ARC/INFO interchange file
Format_Information_Content:
spatial
File_Decompression_Technique: WinZip or equivalent
Transfer_Size: 35
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: URL:http://SoilDataMart.nrcs.usda.gov/
Access_Instructions:
Select desired survey area at above Internet Web site. An email address is required for receipt of instructions on retrieval via anonymous FTP. Anticipate a delay between submission of request at Web site and receipt of email message.
Digital_Form:
Digital_Transfer_Information:
Format_Name: ASCII
Format_Information_Content:
keys and attributes
File_Decompression_Technique: WinZip or equivalent
Transfer_Size: 8.8
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: URL:http://SoilDataMart.nrcs.usda.gov/
Access_Instructions:
Select desired survey area at above Internet Web site. An email address is required for receipt of instructions on retrieval via anonymous FTP. Anticipate a delay between submission of request at Web site and receipt of email message.
Fees: free download
Ordering_Instructions:
http://cybergis.uncc.edu/santee/searchf.php
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Metadata_Reference_Information:
Metadata_Date: 20120312
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service/Southern Research Station/Santee Experimental Forest
Contact_Address:
Address_Type: mailing and physical address
Address: 3734 Hwy 402
City: Cordesville
State_or_Province: SC
Postal_Code: 29434
Contact_Voice_Telephone: (843) 336-5601
Contact_Facsimile_Telephone: (843) 336-5068
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
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