"This data layer represents soil geographic data developed by the National Cooperative Soil Survey in the Russian River watershed. Features from the original source data (see Originator information) were selected based on their spatial location within the Russian River watershed in Sonoma and Mendocino counties in California (the study area boundary of the Russian River Watershed Adaptive Management Plan project). This metadata file incorporates new information to the metadata of the original source data. This new information is indicated in quotation marks." This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.
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. "This data layer was edited from its original source data set for inclusion in the Russian River Watershed Adaptive Management Plan (RRWAMP) and RRWAMP Baseline Watershed Assessment project. The intended use of this data layer in this project is to examine landscape or human factors to promote ecological health and sustainability within the Russian River watershed."
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.
publication date
"The user assumes the entire risk related to the use of this data. The developers of this project shall not have any liability to any person or entity with respect to loss or damage caused or alleged to be caused directly or indirectly by information contained in this file. The developers of this project make no warranty, expressed or implied, nor does the fact of distribution of this data constitute such warranty. This data is not for navigational purposes or for use in litigation. In all cases, the user should refer to the original source data and metadata for accuracy, currentness and appropriate contact information." 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.
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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).
Certain node/geometry and topology GT- polygon/chain relationships are collected or generated to satisfy topological requirements (the GT-polygon corresponds to the soil delineation). Some of these requirements include: chains must begin and end at nodes, chains must connect to each other at nodes, chains do not extend through nodes, left and right GT-polygons are defined for each chain element and are consistent throughout, and the chains representing the limits of the file are free of gaps. The tests of logical consistency are performed using vendor software. All internal polygons are tested for closure with vendor software and are checked on hard copy plots. All data are checked for common soil lines (i.e., adjacent polygons with the same label). Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. The soil survey of Mendocino County, Western Part, California has been joined to the survey wide coverages of the Mendocino County, Eastern Part and the Southwest Part of Trinity County, California, and the Sonoma County, California soil surveys.
A map unit is a collection of areas defined and named in terms of their soil components or miscellaneous areas or both. Each map unit differs in some respect from all others in a survey area and each map unit has a symbol that uniquely identifies the map unit on a soil map. Each individual area, point, or line so identified on the map is a delineation. Soil Scientists identify small areas of soils or miscellaneous areas that have properties and behavior significantly different than the named soils in the surrounding map unit. These minor components may be indicated as special features. If they have a minimal effect on use and management, or could not be precisely located, they may not be indicated on the map. A map unit has specified kinds of soils or miscellaneous areas (map unit components), each with a designated range in proportionate extent. Map units include one or more kinds of soil or miscellaneous area. Miscellaneous areas are areas that have little or no recognizable soil. Specific National Cooperative Soil Survey standards and procedures were used in the classification of soils, design and name of map units, and location of special soil features. These standards are outlined in Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, NRCS; Agricultural Handbook 436, Soil Taxonomy, 1995, USDA, NRCS; and all Amendments; Keys to Soil Taxonomy, (current issue) USDA, NRCS; National Soil Survey Handbook, title 430-VI,(current issue) USDA, NRCS. The actual composition and interpretive purity of the map unit delineations were based on data collected by scientists during the course of preparing the soil maps. Adherence to National Cooperative Soil Survey standards and procedures is based on peer review, quality control, and quality assurance. Quality control is outlined in the memorandum of understanding for the soil survey area and in documents that reside with the Natural Resources Conservation Service state soil scientist. Four kinds of map units are used in soil surveys: consociations, complexes, associations, and undifferentiated groups. Consociations - Consociations are named for the dominant soil. In a consociation, delineated areas use a single name from the dominant component in the map unit. Dissimilar components are minor in extent. The soil component in a consociation may be identified at any taxonomic level. Soil series is the lowest taxonomic level. A consociation that is named as a miscellaneous area is dominantly that kind of area and minor components do not significantly affect the of the map unit. The total amount of dissimilar inclusions of other components in a map unit generally does not exceed about 15 percent if limiting and 25 percent if nonlimiting. A single component of a dissimilar limiting inclusion generally does not exceed 10 percent if very contrasting. Complexes and associations - Complexes and associations consist of two or more dissimilar components that occur in a regularly repeating pattern. The total amount of other dissimilar components is minor extent. The following arbitrary rule determines whether complex or association is used in the name. The major components of an association can be separated at the scale of mapping. In either case, because the major components are sufficiently different in morphology or behavior, the map unit cannot be called a consociation. In each delineation of a complex or an association, each major component is normally present though their proportions may vary appreciably from one delineation to another. The total amount of inclusions in a map unit that are dissimilar to any of the major components does not exceed 15 percent if limiting and 25 percent if nonlimiting. A single kind of dissimilar limiting inclusion usually does not exceed 10 percent. Undifferentiated groups - Undifferentiated groups consist of two or more components that are not consistently associated geographically and, therefore, do not always occur together in the same map delineation. These components are included in the same named map unit because their use and management are the same or very similar for common uses. Generally they are grouped together because some common feature, such as steepness, stoniness, or flooding, determines their use and management. If two or more additional map units would serve no useful purpose, they may be included in the same unit. Each delineation has at least one of the major components, and some may have all of them. The same principles regarding the proportion of minor components that apply to consociations also apply to undifferentiated groups. The same principles regarding proportion of inclusion apply to undifferentiated groups as to consociations. Minimum documentation consists of three complete soil profile descriptions that are collected for each soil added to the legend, one additional per 3,000 acres mapped; three 10 observation transects for each map unit, one additional 10 point transect per 3,000 acres. A defined standard or level of confidence in the interpretive purity of the map unit delineations is attained by adjusting the kind and intensity of field investigations. Field investigations and data collection are carried out in sufficient detail to name map units and to identify accurately and consistently areas of about 6 acres.
The accuracy of these digital data is based upon their compilation to base maps that meet National Map Accuracy Standards at a scale of 1 inch equals 1,000 feet. The difference in positional accuracy between the soil boundaries and special soil features locations in the field and their digitized map locations is unknown. The locational accuracy of soil delineations on the ground varies with the transition between map units. For example, on long gently sloping landscapes the transition occurs gradually over many feet. Where landscapes change abruptly from steep to level, the transition will be very narrow. Soil delineation boundaries and special soil features generally were digitized within 0.01 inch of their locations on the digitizing source. The digital map elements are edge matched between data sets. The data along each quadrangle edge are matched against the data for the adjacent quadrangle. Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch.
source used for field mapping
source of soils lines, map unit labels and special soil features
base material for compilation
source material for certification and archive
source used for digital edits
compilation base
revised data used for quality control processes
certified SSURGO product used as source for digital revision
map unit legend used for comparison to spatial map unit labels
Field procedures for the second order soil survey included plotting of soil boundaries determined by field observations and by interpretation of remotely sensed data. Boundaries were verified at closely spaced intervals, and the soils in each delineation were identified by traversing and transecting the landscape. Soil scientists described and sampled the soils, analyzed samples in the laboratory, and statistically analyzed the data.
The scribecoats were registered to the 7.5 minute orthophotos. Soil lines, map unit labels and special soil features from the aerial photos were cartographically compiled to orthophotos.
The scribecoats were scanned at 500 dots per inch by the National Cartography and Geospatial Center in Fort Worth, Texas. The scan files were delivered in record length code (rlc) format. The scanned files were converted with ARCINFO, Version 6.1.1 using imagegrid and gridline commands. Four control points corresponding to the four corners of the 7.5 minute quadrangles were used for registration during data conversion. Map neatline development, labeling, edge matching and vector conversion, and editing were done in Arcedit, Version 6.l.l. The insets were merged into 7.5 minute quadrangle format. The data were transformed from scanner inches into Universal Transverse Mercator (UTM), Zone 10. The data were written to Digital Line Graph, Optional (DLG-3) files. Digitizing and quality control were performed by the cartographic technician in the Map Compilation Unit, at the Davis Natural Resources Conservation Service, under the super- vision of the state soil scientist.
The DLG-3 files were imported for verification in ARC/INFO, Version 7.0.4 by cartographic technicians on staff at the Montana Digitizing Unit in Bozeman, MT. ARCEDIT was used to correct extra vertices, pseudo nodes, and label mismatches to establish an exact join to quadrangles within the survey area. New DLG-3 files were written. The DLG-3 files were forwarded to the National Cartography and Geospatial Center in Ft. Worth, Texas for archiving and distribution.
The Map Unit interpretations Record data base was developed by National Resources Conservation Service soil scientist according to national standards.
County-wide coverages of the 1999 SSURGO data for area and special features were imported to ARCMAP 8.0 by staff at the Natural Resources Conservation Service State Office in Davis, California. The coverages were projected to North American Datum of 1983. EDIT TOOLS were used to adjust soil delineations along riparian areas, and water areas in order to fit current imagery. The data were exported to ARC INTERCHANGE files and were delivered to certification staff at the Montana Digitizing Unit for evaluation.
The ARC INTERCHANGE files were imported to ARC/INFO 8.0 by cartographic technicians on staff at the Montana Digitizing Unit. Quality control routines were completed on survey wide coverages for area and special features. ARCEDIT was used to correct label errors and node mismatches. The survey wide coverages were then imported to ARC/INFO 7.2.1 and processed through evaluation program macros dated June 2003. The data were forwarded to the National Cartography and Geospatial Center in Ft. Worth, Texas for archiving and distribution.
The National Soil Information System data base was developed by Natural Resources Conservation Service soil scientists according to national standards.
The survey-wide coverages from the online SSURGO data were imported to ARC/INFO 8.0 by certification staff at the Montana Digitizing Unit. Evaluation macros of June 2003 were applied to the data. Minor codes were renamed to link the spatial map unit labels to the National Soil Information System database. The data were forwarded to the National Cartography and Geospatial Center in Fort Worth, Texas for online distribution and archiving.
The National Soil Information System data base was developed by Natural Resources Conservation Service soil scientists according to national standards.
The National Soil Information System data base was edited to meet the Field Office Technical Guide (FOTG) requirements for RUSLE2, Win-PST, MMP, VegSpec, and WEQ.
The online SSURGO data of October 2003 were imported to ARC/INFO 9.0 by certification staff at the Montana Digitizing Unit. Evaluation macros of May 2004 were applied to the data. Map unit labels were compared to an approved map unit legend from the National Soil Information System data base. ARCEDIT was used to verify previous adjacent survey joins. The data were forwarded the soil data warehouse staging server.
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.
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.
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.
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.
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.
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.
The tabular data were extracted from the data mart without change. The spatial data was exported to an ESRI shapefile.
"This data layer was created for the Russian River Watershed Adaptive Management Plan (RRWAMP) and RRWAMP Baseline Watershed Assessment project through minor editing to the original source data. Data were merged from SSURGO files ca097, ca687, ca694, clipped to the project study area boundary (rr_watershed_bndy.shp) and projected using ESRI's ArcGIS GeoProcessing tools; and renamed to the current file name."
3909 Halls Ferry Road
Internal feature number.
ESRI
Feature geometry.
ESRI
Map Unit Delineations are closed polygons that may be dominated by a single soil or miscellaneous area component plus allowable similar or dissimilar soils, or they can be geographic mixtures of groups of soils or soils and miscellaneous areas. The map unit symbol uniquely identifies each closed map unit delineation. Each symbol corresponds to a map unit name. The map unit key is used to link to information in the National Soil Information System tables. 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 an area symbol, feature label, feature name, and feature description for each special and ad hoc feature in the survey area.
Soil Taxonomy: A basic system of soil classification for making and interpreting soil surveys. Agricultural Handbook 436, 1999, USDA, SCS. Keys to Soil Taxonomy (current issue), USDA, SCS. National Soil Survey Handbook, Title 430-VI, part 647 (current issue), USDA, NRCS. Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS.
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Although these data have been processed successfully on a computer system at the U.S. Department of Agriculture, no warranty expressed or implied is made by the Agency regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. The U.S. Department of Agriculture will warrant the delivery of this product in computer readable format, and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals, or when the physical medium is delivered in damaged condition. Request for adjustment of credit must be made within 90 days from the date of this shipment from the ordering site. The U.S. Department of Agriculture, nor any of its agencies are liable for misuse of the data, for damage, for transmission of viruses, or for computer contamination through the distribution of these data sets. The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, sex, religion, age, disability, political beliefs, sexual orientation, or marital or family status. (Not all prohibited bases apply to all programs.)
spatial
spatial
spatial
keys and attributes
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.
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