20240220103936001.0FALSENRCS_SOILS_OCT2300252681.174000796486.52830061807.530200781587.6994001ArcSDE ConnectionProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)NAD_1983_HARN_Florida_GDL_Albers<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.2.0'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>50000500020240223153220002024022315322000FGDCdatasetU.S. Department of Agriculture, Natural Resources Conservation ServiceState Soil Scientist352.338.9535800.877.8339352.338.9578PO Box 141510GainesvilleFL32614tom.weber@fl.usda.gov20240223ArcGIS Metadata1.00.000Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706Web site: http://www.fgdl.orgGainesvilleFL32611-5706USNoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature ClassSoil Survey Geographic (Ssurgo) Database for Florida - October 20232021-10-01U.S. Department of Agriculture, Natural Resources Conservation ServiceU.S. Department of AgricultureGainesville, FLvector digital dataState of Florida<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset 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 dataset consists of georeferenced digital map data and computerized attribute data. The map data are in a state-wide 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. 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. This data set replaces the SSOILS data in previous versions of FGDL.</SPAN></P></DIV></DIV></DIV> This layer is the parent for NRCS Hydric Soils (Summary) - Subset of NRCS Specific Soils Data, which uses the following selection: NRCS_SOILS.HYDRICRATI = 'YES'. This layer is the parent for NRCS Prime Farm Land - Subset of NRCS Specific Soils Data, which uses the following selection: NRCS_SOILS.PRIMEFARM='Y'. This layer is the parent for NRCS Hydric Soils (List) - Subset of NRCS Specific Soils Data, which uses the following selection: NRCS_SOILS.HYDRICRATI = 'YES'. This layer is the parent for Prime Farmland Soil, which uses the following selection: NRCS_SOILS.PRIMEFARM = 'Y'.This dataset is designed to be used in FDOT's Environmental Screening Tool (EST) and represents a selection of soil attributes that includes the highest percentage component from the surface horizon. The dataset was created for use in national, regional, and state-wide resource planning and analysis of soils data. The Soil Survey Geographic (SSURGO) Database 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.U.S. Department of Agriculture, Natural Resources Conservation ServiceState Soil Scientist352.338.9535800.877.8339352.338.9578PO Box 141510GainesvilleFlorida32614http://SoilDataMart.nrcs.usda.gov/Counties and County Equivalents of the States of the United States and the District of Columbia (FIPS Pub 6-3)FloridaISO 19115 Topic CategoryPlanningCadastreGeoScientificInformationSSURGODetailed SoilsFloridaSSURGOPlanningCadastreDetailed SoilsFloridaGeoScientificInformationFloridaThe Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation.<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P></DIV></DIV></DIV>FloridaU.S. Department of Agriculture, Natural Resources Conservation Servicetext, table, mapNatural Resources Conservation Service Soils: https://www.nrcs.usda.gov/wps/portal/nrcs/site/soils/home/Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.2.0.49743-87.42904-79.87225124.49281530.983191publication date1990-01-01T00:00:002023-09-07T00:00:00Soil Survey, Florida, GDG, geoscientificInformation, FL033 (2023-08-24), FL113 (2023-08-24), FL091 (2023-08-24), FL131 (2023-08-24), FL059 (2023-08-24), FL063 (2023-08-24), FL133 (2023-08-24), FL089 (2023-09-01), FL039 (2023-08-24), FL073 (2023-08-24), FL065 (2023-08-24), FL079 (2023-08-24), FL005 (2023-08-24), FL013 (2023-08-24), FL077 (2023-08-24), FL047 (2023-08-25), FL023 (2023-09-01), FL003 (2023-09-01), FL031 (2023-09-01), FL121 (2023-08-25), FL129 (2023-08-24), FL123 (2023-08-24), FL067 (2023-08-25), FL109 (2023-09-01), FL045 (2023-08-24), FL019 (2023-08-28), FL125 (2023-09-01), FL007 (2023-09-01), FL037 (2023-08-25), FL041 (2023-09-01), FL001 (2023-08-28), FL029 (2023-09-01), FL107 (2023-09-01), FL035 (2023-08-28), FL075 (2023-09-06), FL608 (2023-09-06), FL609 (2023-09-06), FL127 (2023-09-06), FL017 (2023-08-28), FL119 (2023-09-06), FL607 (2023-09-06), FL117 (2023-09-06), FL095 (2023-08-28), FL009 (2023-08-28), FL053 (2023-08-28), FL101 (2023-09-06), FL105 (2023-09-06), FL097 (2023-09-05), FL103 (2023-08-28), FL057 (2023-08-28), FL061 (2023-09-06), FL081 (2023-09-06), FL049 (2023-08-28), FL055 (2023-08-28), FL093 (2023-08-28), FL111 (2023-09-06), FL115 (2023-09-06), FL027 (2023-08-28), FL085 (2023-09-06), FL043 (2023-09-06), FL015 (2023-08-28), FL051 (2023-08-28), FL611 (2023-08-28), FL071 (2023-09-06), FL615 (2023-09-07), FL621 (2023-08-28), FL622 (2023-09-01), FL616 (2023-09-07), FL618 (2023-09-07), FL606 (2023-08-28), FL686 (2023-08-28), FL623 (2023-09-01), FL624 (2023-09-01), FL687 (2023-09-06), farming, soils, gSSURGO, Geospatial Data Gateway, SSURGO, United States of America, environment, USA1-87.639083-79.84612131.04268624.501068Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Florida. United States Department of Agriculture, Natural Resources Conservation Service. Available online at http://datagateway.nrcs.usda.gov/. 20230907 (202310 official release).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.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.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 3 or 4 acres.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.All available SSURGO data were downloaded from Web Soil Survey to a local cache. As part of the download process, the tabular data for each survey were imported into individual SSURGO template databases (MS Access format) using a custom set of ‘SSURGO Download Tools’ for ArcGIS 10.x. For each state or territory, intersecting SSURGO datasets were identified using the 'laoverlap' table (Legend Area Overlap). The selected datasets were merged and converted from shapefile and MS Access tables into a single ESRI file geodatabase for that state or territory. The data were not clipped to a state boundary, thus in some instances feature classes may extend beyond a state's boundary. All datasets were projected from the original Geographic WGS 1984 coordinate system to the appropriate Albers Equal Area Conic coordinate system. Relationship classes between tables and feature classes were created in the geodatabase.U.S. Department of Agriculture, Natural Resources Conservation Service, National Geospatial Center of ExcellenceThe SSURGO dataset 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 dataset 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. The soil map units are linked to attributes in the National Soil Information System (NASIS) relational database, which gives the proportionate extent of the component soils and their properties.GeoPlanGeoPlan downloaded this data from the NRCS from this webpage:https://nrcs.app.box.com/v/soils downloaded gSSURGO_FL.zip on 2/16/24. Note: Prior to the 12/2021 processing, this process used access tables and shapefiles, now the NRCS is distributing this data as a statewide File Geodatabase. Because we no longer process the data as a dbf some field names have increased. This affects the analysis field HYDRICRATI, which is now HYDRICRATING. Other field names have new names: FLODFREQMAX, BROCKDEPMIN, FLODFREQDCD. There are also some fields that now contain null values. Python scripts in ArcGIS Pro 3.2 were run that joined various fields from the file geodatabse feature class called gSSURGO_FL.gdb\MUPOLYGON. The soils database is a relational database and there are many tables involved, for this layer data only data from 5 tables were used: MUAGGATT, MAPUNIT, COMPONENT, CHORIZON, CHTEXTUREGRP. Only the soils with the highest component percentage from the COMPONENT table were used. In addition, only the surface Horizon was used from the CHORIZON table. From these 5 tables only data from a selected group of fields were joined, if you wish to get more data then please visit the nrcs website to download the complete file geodatabse. Detailed metadata is available for each individual county from NRCS. This metadata was based on information from the MUPOLYGON which is a statewide layer. -When received the shapefiles were in Albers NAD83 and were projected to EPSG = 3087 using the HARN Florida transformation -DESCRIPT field added based on '!MUKEY! + "-("+ !COMPNAME! +")" + "(" + !MUNAME! + ")"' -FGDLAQDATE added based on date GeoPlan acquired data.
2024-02-20T00:00:00Spatial and Attribute InformationThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.0697421EPSG6.12(9.2.0)NRCS_SOILS_OCT23NRCS_SOILS_OCT23NRCSFeature Class697421OBJECTIDOBJECTIDOID4100Internal feature number.ESRISequential unique whole numbers that are automatically generated.ShapeSHAPEGeometry800Feature geometry.EsriCoordinates defining the features.AREASYMBOLArea Symbol: A symbol that uniquely identifies a single occurrence of a particular type of area (e.g. Lancaster Co., Nebraska)NRCSAREASYMBOLString2000SPATIALVERSpatial Version: A sequential integer number used to denote the serial version of the spatial data for a soil survey area.NRCSSPATIALVERDouble8388MUSYMMapunit Symbol: The symbol used to uniquely identify the soil mapunit in the soil survey.NRCSMUSYMString600MUKEYMapunit Key: A non-connotative string of characters used to uniquely identify a record in the Mapunit table.NRCSMUKEYString3000COMPNAMEComponent Name: Name assigned to a component based on its range of properties.NRCSCOMPNAMEString6000COMPPCTComponent Percent: The percentage of the component of the map unit.NRCSCOMPPCTSmallInteger250MUNAMEMapunit Name: Correlated name of the mapunit (recommended name or field name for surveys in progress).NRCSMUNAMEString24000MUACRESTotal Acres: The number of acres of a particular map unit within the geographic area to which the legend applies. The number listed here may differ from that measured using GIS software due to different measuring techniques
and rounding practices, or due to the fact that the value has been adjusted so that the sum total of all map units in the legend equals that listed for soil survey area.NRCSMUACRESInteger4100TEXTURETex Mod & Class: Name for the concatenation of TEXTURE_MODIFIER and TEXTURE_CLASS.NRCSTEXTUREString3000BROCKDEPMINBROCKDEPMINSmallInteger250Bedrock Depth - Minimum: The distance from the soil surface to the top of a bedrock layer, expressed as a shallowest depth of components whose composition in the map unit is equal to or exceeds 15%.NRCSHYDRICRATINGHYDRICRATINGString1000Hydric Rating: A yes/no field that indicates whether or not a map unit component is classified as a "hydric soil". If rated as hydric, the specific criteria met are listed in the Component Hydric Criteria table.NRCSDRAINAGECLDrainage Class: Identifies the natural drainage conditions of the soil and refers to the frequency and duration of wet periods. An example of a drainage class is well drained.NRCSDRAINAGECLString3000NIRRCAPCLNon Irrigation Capability Class: The broadest category in the land capability classification system for nonirrigated soils.NRCSNIRRCAPCLString500HYDRGRPHydrologic Group: A group of soils having similar runoff potential under similar storm and cover conditions. Examples are A and A/D. (NSSH)NRCSHYDRGRPString500CORCONCorrosion Concrete: Susceptibility of concrete to corrosion when in contact with the soil.NRCSCORCONString1000CORSTEELCorrosion Steel: Susceptibility of uncoated steel to corrosion when in contact with the soil.NRCSCORSTEELString1000MUKINDMapunit Kind: Code identifying the kind of mapunit. Example: C - consociation.NRCSMUKINDString2500FRMLNDCLFarmland Classification: Identification of map units as prime farmland, farmland of statewide importance, or farmland of local importance.NRCSFRMLNDCLString12500FLODFREQDCDFLODFREQDCDString1500Flooding Frequency - Dominant Condition: The annual probability of a flood event expressed as a class. This column displays the dominant flood frequency class for the map unit, based on composition percentage of map unit components whose composition in the map unit is equal to or exceeds 15%NRCSFLODFREQMAXFLODFREQMAXString1500Flooding Frequency - Maximum: The annual probability of a flood event expressed as a class. This column displays the highest probability class assigned to an individual component of the map unit whose composition in the map unit is equal to or exceeds 15%.NRCSENGLRSDCDThe rating of the map unit as a site for local roads and streets, expressed as the dominant rating class for the map unit, based on composition percentage of each map unit component.NRCSENGLRSDCDString3000PRIMEFARMPRIMEFARMString100Values of Y indicate FRMLNDCL = ALL AREAS ARE PRIME FARMLAND, PRIME FARMLAND IF DRAINED AND EITHER PROTECTED FROM FLOODING OR NOT FREQUENTLY FLOODED DURING THE GROWING SEASON, PRIME FARMLAND IF DRAINED, FARMLAND OF LOCAL IMPORTANCE, FARMLAND OF UNIQUE IMPORTANCEGeoPlanFGDLAQDATEThe date GeoPlan acquired the data from the source.GeoPlanFGDLAQDATEDate800DESCRIPTGeoPlan added field based a concatenation of MUKEY, COMPNAME, MUNAME.GeoPlanDESCRIPTString20000AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0SHAPE.AREASHAPE.AREADouble00Area of feature in internal units0SHAPE.LENSHAPE.LENDouble00Length of feature in internal units0Map 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.
Special features are described in the feature table. It includes a
feature label, feature name, and feature description for each
special and ad hoc feature in the survey area.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./9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK
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