U.S. Department of Agriculture, Natural Resources Conservation Service20211001vector digital dataGainesville, FLU.S. Department of AgricultureState of Floridahttp://datagateway.nrcs.usda.govThis 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. 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.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. 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. Soil Survey, Florida, GDG, geoscientificInformation, farming, soils, gSSURGO, Geospatial Data Gateway, FL033 (2021-09-08), FL113 (2021-09-13), FL091 (2021-09-07), FL131 (2021-09-08), FL059 (2021-09-07), FL063 (2021-09-07), FL133 (2021-09-07), FL089 (2021-09-01), FL039 (2021-09-07), FL073 (2021-09-03), FL065 (2021-09-03), FL079 (2021-09-03), FL005 (2021-09-07), FL013 (2021-09-07), FL077 (2021-09-07), FL047 (2021-09-02), FL023 (2021-09-02), FL003 (2021-09-02), FL031 (2021-09-01), FL121 (2021-09-02), FL129 (2021-09-07), FL123 (2021-09-03), FL067 (2021-09-02), FL109 (2021-08-31), FL045 (2021-09-07), FL019 (2021-08-31), FL125 (2021-09-01), FL007 (2021-08-31), FL037 (2021-09-07), FL041 (2021-09-08), FL001 (2021-08-31), FL029 (2021-09-03), FL107 (2021-08-30), FL035 (2021-08-31), FL075 (2021-08-30), FL608 (2021-08-27), FL609 (2021-08-27), FL127 (2021-08-27), FL017 (2021-08-26), FL119 (2021-08-27), FL607 (2021-08-27), FL117 (2021-08-27), FL095 (2021-08-27), FL009 (2021-08-25), FL053 (2021-08-27), FL101 (2021-08-27), FL105 (2021-08-27), FL097 (2021-08-27), FL103 (2021-08-27), FL057 (2021-08-27), FL061 (2021-08-25), FL081 (2021-08-25), FL049 (2021-08-26), FL055 (2021-08-26), FL093 (2021-08-26), FL111 (2021-08-25), FL115 (2021-08-31), FL027 (2021-08-26), FL085 (2021-08-25), FL043 (2021-08-25), FL015 (2021-08-25), FL051 (2021-08-25), FL611 (2021-08-25), FL071 (2021-08-25), FL615 (2021-08-25), FL621 (2021-08-25), FL999 (2021-08-31), FL616 (2021-08-26), FL618 (2021-08-26), FL606 (2021-08-25), FL686 (2021-08-25), FL687 (2021-08-25), SSURGO, United States of America, environment, USA1990010120210913publication dateCompleteAs needed-87.639083-79.84612131.04268624.501068ISO 19115 Topic CategoryPlanningCadastreGeoScientificInformationNoneSSURGODetailed SoilsFloridaCounties and County Equivalents of the States of the United States and the District of Columbia (FIPS Pub 6-3)FloridaNoneThe 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.U.S. Department of Agriculture, Natural Resources Conservation ServiceState Soil Scientistmailing

PO Box 141510

GainesvilleFlorida32614352.338.9535800.877.8339352.338.9578http://SoilDataMart.nrcs.usda.gov/ Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362U.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/GeoPlan relied on the integrity of the attribute information within the original data.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.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanU.S. Department of Agriculture, Natural Resources Conservation Servicetabular digital dataU.S. Department of Agriculture, Natural Resources Conservation Service24000onLineUSGS, NRCS, SSURGOSpatial and Attribute InformationAll 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 ExcellenceGeoPlan downloaded this data from the NRCS from this webpage: https://nrcs.app.box.com/v/soils/folder/148414960239?utm_medium=email&utm_source=govdelivery downloaded gSSURGO_FL.zip on 12/20/21. 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 2.9 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 COMPNAME -FGDLAQDATE added based on date GeoPlan acquired data.GeoPlan20211223VectorGT-polygon composed of chains693146NAD 1983 HARN Florida GDL Albers24.031.5-84.024.0400000.00.0coordinate pair0.00010.0001meterD North American 1983 HARNGRS 19806378137.0298.257222101NRCS_SOILS_OCT21NRCS_SOILS_OCT21NRCSOBJECTIDInternal feature number.ESRISequential unique whole numbers that are automatically generated.SHAPEFeature 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)NRCSSPATIALVERSpatial Version: A sequential integer number used to denote the serial version of the spatial data for a soil survey area.NRCSMUSYMMapunit Symbol: The symbol used to uniquely identify the soil mapunit in the soil survey.NRCSMUKEYMapunit Key: A non-connotative string of characters used to uniquely identify a record in the Mapunit table.NRCSCOMPNAMEComponent Name: Name assigned to a component based on its range of properties.NRCSCOMPPCTComponent Percent: The percentage of the component of the map unit.NRCSMUNAMEMapunit Name: Correlated name of the mapunit (recommended name or field name for surveys in progress).NRCSMUACRESTotal 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.NRCSTEXTURETex Mod & Class: Name for the concatenation of TEXTURE_MODIFIER and TEXTURE_CLASS.NRCSBROCKDEPMINBedrock 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%.NRCSHYDRICRATINGHydric 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.NRCSNIRRCAPCLNon Irrigation Capability Class: The broadest category in the land capability classification system for nonirrigated soils.NRCSHYDRGRPHydrologic Group: A group of soils having similar runoff potential under similar storm and cover conditions. Examples are A and A/D. (NSSH)NRCSCORCONCorrosion Concrete: Susceptibility of concrete to corrosion when in contact with the soil.NRCSCORSTEELCorrosion Steel: Susceptibility of uncoated steel to corrosion when in contact with the soil.NRCSMUKINDMapunit Kind: Code identifying the kind of mapunit. Example: C - consociation.NRCSFRMLNDCLFarmland Classification: Identification of map units as prime farmland, farmland of statewide importance, or farmland of local importance.NRCSFLODFREQDCDFlooding 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%NRCSFLODFREQMAXFlooding 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.NRCSDESCRIPTGeoPlan added field based on CompnameGeoPlanFGDLAQDATEDate GeoPlan acquired data from source.GeoPlanPRIMEFARMValues 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 IMPORTANCEGeoPlanAUTOIDSHAPE.AREASHAPE.LENMap 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.Florida Geographic Data Library (FGDL)mailing

431 Architecture PO Box 115706

GainesvilleFlorida32611-5706USTechnical Support: http://www.fgdl.org/fgdlfeed.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlWeb site: http://www.fgdl.orgFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlFor FGDL Software: http://www.fgdl.org/software.htmlSelect 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.The 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. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlASCIIkeys and attributesWinZip or equivalent18.6URL:http://SoilDataMart.nrcs.usda.gov/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.URL:http://SoilDataMart.nrcs.usda.gov/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.URL:http://SoilDataMart.nrcs.usda.gov/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.URL:http://SoilDataMart.nrcs.usda.gov/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.There is currently no direct charge for requesting data or for retrieval via FTP.Visit the above mentioned Internet Web Site, select state or territory, then select individual soil survey area of interest. Spatial line data and locations of special feature symbols are in ESRI ArcGIS (ArcView, ArcInfo) shapefile, coverage and interchange (i.e., export) formats. The National Soil Information System attribute soil data are available in variable length, pipe delimited, ASCII file format.Typically within four hoursThis data is intended for use with a Geographic Information Systems or Remote Sensing software package.20220121U.S. Department of Agriculture, Natural Resources Conservation ServiceState Soil Scientistmailing

PO Box 141510

GainesvilleFL32614352.338.9535800.877.8339352.338.9578tom.weber@fl.usda.govFGDC Content Standard for Digital Geospatial MetadataFGDC-STD-001-1998local timeU.S. Department of Agriculture, Natural Resources Conservation ServiceState Soil Scientist352.338.9535800.877.8339352.338.9578PO Box 141510GainesvilleFL32614tom.weber@fl.usda.gov20220121ArcGIS Metadata1.0Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706GainesvilleFlorida32611-5706USFor FGDL Software: http://www.fgdl.org/software.htmlMailing list for FGDL: http://www.fgdl.org/fgdl-l.htmlTechnical Support: http://www.fgdl.org/fgdlfeed.htmlFGDL Frequently Asked Questions: http://www.fgdl.org/fgdlfaq.htmlWeb site: http://www.fgdl.orgThere is currently no direct charge for requesting data or for retrieval via FTP.Visit the above mentioned Internet Web Site, select state or territory, then select individual soil survey area of interest. Spatial line data and locations of special feature symbols are in ESRI ArcGIS (ArcView, ArcInfo) shapefile, coverage and interchange (i.e., export) formats. The National Soil Information System attribute soil data are available in variable length, pipe delimited, ASCII file format.Typically within four hoursASCIIWinZip or equivalentkeys and attributesThis data is intended for use with a Geographic Information Systems or Remote Sensing software package.18.6URL:http://SoilDataMart.nrcs.usda.gov/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.18.6URL:http://SoilDataMart.nrcs.usda.gov/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.18.6URL:http://SoilDataMart.nrcs.usda.gov/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.18.6URL:http://SoilDataMart.nrcs.usda.gov/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.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.http://datagateway.nrcs.usda.govSoil Survey Geographic (Ssurgo) Database for Florida - October 20212021-10-01U.S. Department of AgricultureGainesville, FLU.S. Department of Agriculture, Natural Resources Conservation Servicevector digital dataState of FloridaThis 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.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/FloridaCounties and County Equivalents of the States of the United States and the District of Columbia (FIPS Pub 6-3)Detailed SoilsSSURGOFloridaPlanningCadastreGeoScientificInformationISO 19115 Topic CategoryPlanningCadastreDetailed SoilsSSURGOFloridaGeoScientificInformationFloridaThe 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. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.htmlThe 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.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/Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362publication date1990-01-012021-09-13-87.639083-79.84612124.50106831.042686This 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. 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. Soil Survey, Florida, GDG, geoscientificInformation, farming, soils, gSSURGO, Geospatial Data Gateway, FL033 (2021-09-08), FL113 (2021-09-13), FL091 (2021-09-07), FL131 (2021-09-08), FL059 (2021-09-07), FL063 (2021-09-07), FL133 (2021-09-07), FL089 (2021-09-01), FL039 (2021-09-07), FL073 (2021-09-03), FL065 (2021-09-03), FL079 (2021-09-03), FL005 (2021-09-07), FL013 (2021-09-07), FL077 (2021-09-07), FL047 (2021-09-02), FL023 (2021-09-02), FL003 (2021-09-02), FL031 (2021-09-01), FL121 (2021-09-02), FL129 (2021-09-07), FL123 (2021-09-03), FL067 (2021-09-02), FL109 (2021-08-31), FL045 (2021-09-07), FL019 (2021-08-31), FL125 (2021-09-01), FL007 (2021-08-31), FL037 (2021-09-07), FL041 (2021-09-08), FL001 (2021-08-31), FL029 (2021-09-03), FL107 (2021-08-30), FL035 (2021-08-31), FL075 (2021-08-30), FL608 (2021-08-27), FL609 (2021-08-27), FL127 (2021-08-27), FL017 (2021-08-26), FL119 (2021-08-27), FL607 (2021-08-27), FL117 (2021-08-27), FL095 (2021-08-27), FL009 (2021-08-25), FL053 (2021-08-27), FL101 (2021-08-27), FL105 (2021-08-27), FL097 (2021-08-27), FL103 (2021-08-27), FL057 (2021-08-27), FL061 (2021-08-25), FL081 (2021-08-25), FL049 (2021-08-26), FL055 (2021-08-26), FL093 (2021-08-26), FL111 (2021-08-25), FL115 (2021-08-31), FL027 (2021-08-26), FL085 (2021-08-25), FL043 (2021-08-25), FL015 (2021-08-25), FL051 (2021-08-25), FL611 (2021-08-25), FL071 (2021-08-25), FL615 (2021-08-25), FL621 (2021-08-25), FL999 (2021-08-31), FL616 (2021-08-26), FL618 (2021-08-26), FL606 (2021-08-25), FL686 (2021-08-25), FL687 (2021-08-25), SSURGO, United States of America, environment, USACertain 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.GeoPlan relied on the integrity of the attribute information within the original data.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.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlanGeoPlan downloaded this data from the NRCS from this webpage: https://nrcs.app.box.com/v/soils/folder/148414960239?utm_medium=email&utm_source=govdelivery downloaded gSSURGO_FL.zip on 12/20/21. 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 2.9 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 COMPNAME -FGDLAQDATE added based on date GeoPlan acquired data.2021-12-23GeoPlanAll 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 ExcellenceSpatial and Attribute Information24000National Soil Information System (NASIS) data baseUSGS, NRCS, SSURGOU.S. Department of Agriculture, Natural Resources Conservation ServiceU.S. Department of Agriculture, Natural Resources Conservation Servicetabular digital data69314620220121150413001.0500005000original metadataPD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ VS5TLiBEZXBhcnRtZW50IG9mIEFncmljdWx0dXJlLCBOYXR1cmFsIFJlc291cmNlcyBDb25zZXJ2 YXRpb24gU2VydmljZTwvb3JpZ2luPg0KICAgICAgICA8cHViZGF0ZT4yMDIxMTAwMTwvcHViZGF0 ZT4NCiAgICAgICAgPHRpdGxlPlNvaWwgU3VydmV5IEdlb2dyYXBoaWMgKFNzdXJnbykgRGF0YWJh c2UgZm9yIEZsb3JpZGEgLSBPY3RvYmVyIDIwMjE8L3RpdGxlPg0KICAgICAgICA8Z2VvZm9ybT52 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