SSURGO soils, Allegany County Area NY

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Identification_Information

Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20120921
Title: SSURGO soils, Allegany County Area NY
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: Soil Survey Geographic (SSURGO) database
Issue_Identification: Allegany County Area NY
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service
Online_Linkage: https://cugir.library.cornell.edu/catalog/cugir-007930
Online_Linkage: https://websoilsurvey-dev.dev.sc.egov.usda.gov/
Description:
Abstract:
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.

This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a 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.

Purpose: SSURGO depicts information about the kinds and distribution of soils on the landscape. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey.
Supplemental_Information: 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.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20061204
Ending_Date: 20120921
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -78.30939
East_Bounding_Coordinate: -77.722924
North_Bounding_Coordinate: 42.521802
South_Bounding_Coordinate: 41.998204
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: soil survey
Theme_Keyword: soils
Theme:
Theme_Keyword_Thesaurus: CUGIR Category
Theme_Keyword: geology
Place:
Place_Keyword_Thesaurus: USGS Geographic Names Information System (GNIS)
Place_Keyword: Advance Copy of the Soils of Allegany County area, New York
Access_Constraints: None
Use_Constraints:
The U.S. Department of Agriculture, Natural Resources Conservation
Service, should be acknowledged as the data source in products
derived from these data.

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

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

Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Department of Agriculture, Natural Resources Conservation Service
Contact_Position: State Soil Scientist
Contact_Address:
Address_Type: mailing address
Address: USDA Natural Resources Conservation Service
Address: 441 South Salina Street
Address: Fifth Floor Suite 354
City: Syracuse
State_or_Province: NY
Postal_Code: 13202
Contact_Voice_Telephone: 315-477-6526
Contact_TDD/TTY_Telephone: 800-877-8339
Contact_Facsimile_Telephone: 855-477-8518
Contact_Electronic_Mail_Address: stephen.page@ny.usda.gov
Browse_Graphic:
Browse_Graphic_File_Name: https://cugir-data.s3.amazonaws.com/00/79/30/preview.png
Browse_Graphic_File_Description: preview of the dataset
Browse_Graphic_File_Type: PNG

Data_Quality_Information

Attribute_Accuracy:
Attribute_Accuracy_Report: The attribute accuracy is tested by manual comparison of the source with hard copy plots and/or symbolized display of the map data on an interactive computer graphic system. Selected attributes that cannot be visually verified on plots or on screen are interactively queried and verified on screen. In addition, the attributes are tested against a master set of valid attributes. All attribute data conform to the attribute codes in the signed classification and correlation document and amendment(s).
Logical_Consistency_Report:
Certain node/geometry and topology GT- polygon/chain relationships
are collected or generated to satisfy topological requirements
(the GT-polygon corresponds to the soil delineation). Some of these
requirements include: chains must begin and end at nodes, chains
must connect to each other at nodes, chains do not extend through
nodes, left and right GT-polygons are defined for each chain
element and are consistent throughout, and the chains representing
the limits of the file 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.

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.

The quadrangles in this survey are edge matched to quadrangles in adjacent
SSURGO certified soil surveys Cattaraugus, Livingston, Steuben and Wyoming
Counties, New York, Seneca Nation of Indians, New York and McKean and Potter
Counties, Pennsylvania and the survey area boundaries match.

Most feature edges (polygon and line segments) match adjacent ones in
the edge matched survey area, however, most feature labels don't match
the adjacent feature labels in the edge matched survey.

Completeness_Report:
A map unit is a collection of areas defined and named in terms of
their soil components or miscellaneous areas or both. Each map
unit differs in some respect from all others in a survey area and
each map unit has a symbol that uniquely identifies the map unit
on a soil map. Each individual area, point, or line so identified
on the map is a delineation.

Soil Scientists identify small areas of soils or miscellaneous areas
that have properties and behavior significantly different than the
named soils in the surrounding map unit. These minor components
may be indicated as special features. If they have a minimal effect
on use and management, or could not be precisely located, they may
not be indicated on the map.

A map unit has specified kinds of soils or miscellaneous areas
(map unit components), each with a designated range in
proportionate extent. Map units include one or more kinds of soil
or miscellaneous area. Miscellaneous areas are areas that have little
or no recognizable soil.

Specific National Cooperative Soil Survey standards and procedures
were used in the classification of soils, design and name of map
units, and location of special soil features. These standards are
outlined in Agricultural Handbook 18, Soil Survey Manual, 1993,
USDA, NRCS; Agricultural Handbook 436, Soil Taxonomy, 1995,
USDA, NRCS; and all Amendments; Keys to Soil Taxonomy,
(current issue) USDA, NRCS; National Soil Survey
Handbook, title 430-VI,(current issue) USDA, NRCS.

The actual composition and interpretive purity of the map unit
delineations were based on data collected by scientists during
the course of preparing the soil maps. Adherence to National
Cooperative Soil Survey standards and procedures is based on
peer review, quality control, and quality assurance. Quality
control is outlined in the memorandum of understanding for the
soil survey area and in documents that reside with the Natural
Resources Conservation Service state soil scientist. Four kinds
of map units are used in soil surveys: consociations, complexes,
associations, and undifferentiated groups.

Consociations - Consociations are named for the dominant soil.
In a consociation, delineated areas use a single name from the
dominant component in the map unit. Dissimilar components are
minor in extent. The soil component in a consociation may be
identified at any taxonomic level. Soil series is the lowest
taxonomic level. A consociation that is named as a miscellaneous
area is dominantly that kind of area and minor components do not
significantly affect the use of the map unit. The total amount of
dissimilar inclusions of other components in a map unit generally
does not exceed about 15 percent if limiting and 25 percent if
nonlimiting. A single component of a dissimilar limiting inclusion
generally does not exceed 10 percent if very contrasting.

Complexes and associations - Complexes and associations consist
of two or more  dissimilar components that occur in a regularly
repeating pattern. The total amount of other dissimilar components
is minor extent. The following arbitrary rule determines whether
complex or association is used in the name. The major components
of an association can be separated at the scale of mapping. In
either case, because the major components are sufficiently different
in morphology or behavior, the map unit cannot be called a
consociation. In each delineation of a complex or an association,
each major component is normally present though their proportions
may vary appreciably from one delineation to another. The total
amount of inclusions in a map unit that are dissimilar to any of
the major components does not exceed 15 percent if limiting and
25 percent if nonlimiting. A single kind of dissimilar limiting
inclusion usually does not exceed 10 percent.

Undifferentiated groups - Undifferentiated groups consist of two
or more components that are not consistently associated
geographically and, therefore, do not always occur together in
the same map delineation. These components are included in the
same named map unit because their use and management are the same
or very similar for common uses. Generally they are grouped together
because some common feature, such as steepness, stoniness, or
flooding, determines their use and management. If two or more
additional map units would serve no useful purpose, they may be
included in the same unit. Each delineation has at least one of the
major components, and some may have all of them. The same principles
regarding the proportion of minor components that apply to
consociations also apply to undifferentiated groups. The same
principles regarding proportion of inclusion apply to
undifferentiated groups as to consociations.

Minimum documentation consists of three complete soil profile
descriptions that are collected for each soil added to the legend,
one additional per 3,000 acres mapped; three 10 observation
transects for each map unit, one additional 10 point transect per
3,000 acres.

A defined standard or level of confidence in the interpretive
purity of the map unit delineations is attained by adjusting the
kind and intensity of field investigations. Field investigations
and data collection are carried out in sufficient detail to name
map units and to identify accurately and consistently areas of about
5 acres in the Order 2 mapping and about 40 acres in Order 3 mapping.
The order of mapping can be distinguished by the map unit symbols:
Order 2 map units have an alphabetic symbol and Order 3 map units
have a numeric symbol with alphabetic slope class symbol.

Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The accuracy of these digital data is based upon their
compilation to base maps that meet National Map
Accuracy Standards 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.

Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: 1956
Title: Soil Survey of Allegany County, New York
Geospatial_Data_Presentation_Form: multiple soil maps on planimetric base
Source_Scale_Denominator: 31680
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1946
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS1
Source_Contribution: previously published soil survey (out-of-date)
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Agricultural Stabilization and Conservation Service
Publication_Date: 1985
Title: multiple aerial photographs
Geospatial_Data_Presentation_Form: remote sensing image
Publication_Information:
Publication_Place: Salt Lake City, Utah
Publisher: U.S. Department of Agriculture, Agricultural Stabilization and Conservation Service
Source_Scale_Denominator: 24000
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1985
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: ASCS1
Source_Contribution: photographic base materials for field mapping and source material for compilation of soil polygons, map unit symbols, and special soil features
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: unpublished material
Title: multiple film positives of 7.5 minute analog orthophotoquads
Geospatial_Data_Presentation_Form: remote sensing image
Source_Scale_Denominator: 24000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1995 (NAPP)
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS1
Source_Contribution: base map for compilation
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1963-1979
Title: multiple 7.5 minute quadrangles
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Reston, Virginia
Publisher: U.S. Geological Survey
Source_Scale_Denominator: 24000
Type_of_Source_Media: digital raster graphic
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1963
Ending_Date: 1979
Source_Currentness_Reference: final publication date
Source_Citation_Abbreviation: USGS1
Source_Contribution: source for digital county boundaries
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: unpublished material
Title: annotated soil delineation overlays
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 24000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2006
Source_Currentness_Reference: status of map units
Source_Citation_Abbreviation: NRCS2
Source_Contribution: scanning source.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 2006
Title: National Soil Information System (NASIS) database for Allegany County, New York
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, Information Technology Center
Type_of_Source_Media: on-line
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2006
Source_Currentness_Reference: export certification date
Source_Citation_Abbreviation: NRCS3
Source_Contribution: tabular data linked to spatial soil data
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20041122
Title: Soil Survey Geographic (SSURGO) database for the Advanced Copy of the soils of Allegany County, New York
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20061204
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS4
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 2007
Title: National Soil Information System (NASIS) data base
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service
Type_of_Source_Media: database
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2007
Ending_Date: 2007
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NASIS
Source_Contribution: attribute (tabular) information
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20061204
Title: Soil Survey Geographic (SSURGO) database for the Advanced Copy of the soils of Allegany County, New York
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20061204
Source_Currentness_Reference: date of submission to the data mart
Source_Citation_Abbreviation: NRCS5
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20061204
Title: Soil Survey Geographic (SSURGO) database for the Advanced Copy of the soils of Allegany County, New York
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20080104
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS6
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20061204
Title: Soil Survey Geographic (SSURGO) database for the Advanced Copy of the soils of Allegany County, New York
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20090120
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS7
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20061204
Title: Soil Survey Geographic (SSURGO) database for the Advanced Copy of the soils of Allegany County, New York
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20110106
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS8
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Farm Service Agency- APFO
Publication_Date: 2011
Title: NAIP- multiple aerial photographs
Geospatial_Data_Presentation_Form: remote sensing image
Publication_Information:
Publication_Place: Salt Lake City, Utah
Publisher: U.S. Department of Agriculture, Farm Service Agency- APFO
Type_of_Source_Media: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2011
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: FSA1
Source_Contribution: photographic base materials for field mapping and source material for digitizing of soil polygons, map unit symbols, and special soil features.
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20061204
Title: Soil Survey Geographic (SSURGO) database for the Advanced Copy of the soils of Allegany County, New York
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20120629
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS9
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: unpublished material
Title: region 12 soils geodatabase
Geospatial_Data_Presentation_Form: file geodatabase
Type_of_Source_Media: vector digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2006
Ending_Date: 2012
Source_Currentness_Reference: SSURGO publication date
Source_Citation_Abbreviation: NRCS10
Source_Contribution: Source of digital revision
Process_Step:
Process_Description: The Soil Survey of Allegany County, New York began in the year 1993. The survey area is being mapped at a scale of 1:24000. Procedures for mapping consist of intensive field investigation in conjunction with remote sensing of imagery. Boundaries of delineations are verified by traversing the landscape at closely spaced intervals. Map unit composition is confirmed by transecting representative areas. Field mapping is ongoing; approximately 55% of the survey area is included in this advance copy data set.
Source_Used_Citation_Abbreviation: ASCS1
Process_Date: 1993-2006
Process_Step:
Process_Description: Compilation base materials were prepared by the U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center, Fort Worth, Texas, using a photographic process to develop stable-base orthophoto quad positives from digital orthophotographs. These were prepared at 1:24000 scale.
Source_Used_Citation_Abbreviation: NRCS1
Process_Date: 1995
Process_Step:
Process_Description: Field mapping delineations, symbols, and special features were compiled onto stable-base material overlays, to a digital orthophoto base, by NRCS soil scientists in the Belmont, NY Soil Survey Office.
Source_Used_Citation_Abbreviation: ASCS1, NRCS1, NRCS2
Process_Date: 1996-2006
Process_Step:
Process_Description: Field maps were manually compiled to 1:24000 scale, using 7.5 minute orthophoto quadrangles. The soil delineation overlays were created by compiling the soil lines to a stable-base material pin registered to the orthophoto quadrangle. The soil delineation overlays were raster scanned by Midwest Graphics, Milwaukee, Wisconsin, on an Intergraph Anatech scanner at 250 dpi in rlc format. The county borders digitized on screen 7.5 minute USGS DRG in ESRI ArcMap 8.3 and a DOQ mosaic. The raster editing, labeling, edge matching, and vector conversion for the soils and special soil features were done in LT4X Version 4.02 for the following quadrangles by the Wisconsin Digitizing Unit, USDA, Natural Resources Conservation Service, Madison, Wisconsin (WIDU): Bliss, Pike, Portageville, Freedom, Houghton, Fillmore, Rawson, Black Creek, Angelica, Cuba, Portville, Bullis Mills, Wellsville South, Whitesville, Rexville, Ellisburg, and Ulysses. Compilation, digitizing, and quality control were by USDA-NRCS, Belmont Service Center, Belmont, NY Soil Survey Project Leader and the WIDU. The soils data were written to a Digital Line Graph Optional Format using LT4X. The DLG Optional files were evaluated with the February 1998 ARC/INFO AMLs provided by USDA-NRCS, National Cartography and Geospatial Center, Fort Worth, Texas (NCGC). Upon successful completion of the SSURGO evaluation the data were merged from quadrangle format into a single area patch.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2
Process_Date: 2002-2004
Process_Step:
Process_Description: Field maps were manually compiled to 1:24000 scale, using 7.5 minute orthophoto quadrangles. The soil delineation overlays were created by compiling the soil lines to a stable-base material pin registered to the orthophoto quadrangle. The soil delineation overlays were raster scanned by Midwest Graphics, Milwaukee, Wisconsin, on an Intergraph Anatech scanner at 250 dpi in rlc format. The county borders digitized on screen 7.5 minute USGS DRG in ESRI ArcMap 8.3 and a DOQ mosaic. The raster to vector conversion was done using ArcScan. The vector editing, labeling, and edge matching for the soils and special soil features were done in ArcGIS Version 8.3 for the following quadrangles by the Wisconsin Digitizing Unit, USDA, Natural Resources Conservation Service, Madison, Wisconsin (WIDU): Ossian, Canaseraga, and Arkport Compilation, and digitizing quality control were by USDA-NRCS, Belmont Service Center, Belmont, NY Soil Survey Project Leader and the WIDU. A pen plot review of what is currently digitized was performed by the WIDU. The data were then joined with the previously developed quadrangles into a single area patch and submitted to the New York state office for use. The data were evaluated with the U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center, archiving AMLs. Upon completion of the archiving AMLs the data was sent to New York. This data is not intended for distribution to the general public.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2
Process_Date: 2005
Process_Step:
Process_Description: For the quadrangles of Nunda and Bridsall, field maps were manually compiled to 1:24000 scale, using 7.5 minute orthophoto quadrangles. The soil delineation overlays were created by compiling the soil lines to a stable-base material pin registered to the orthophoto quadrangle. The 7.5 minute soil map unit delineation and label overlays were raster scanned by Midwest Graphics, Kenosha, Wisconsin at 250 dpi on an Intergraph Anatech scanner in tiff uncompressed format. The data were sent to the Wisconsin Digitizing Unit in Madison, Wisconsin. Four control points that, corresponded to the four corners on the 7.5 minute quadrangles were, used for registration during data collection. The tiff files were imported into ArcGIS 9.1 ArcMap. The tiff files were georeferenced in ArcMap. Using the raster cleanup tools, the tiff files were cleaned, edge-matched and vectorized to a polygon feature class. Using the label overlay tiff files as a back drop, the soil polygons were attributed and line and point features classes were digitized and labeled. Compilation and digitizing quality control were done by USDA-NRCS, Belmont Service Center, Belmont, NY Soil Survey Project Leader and the WIDU. A pen plot review of what is currently digitized was performed by the WIDU. The data were then joined with the previously developed quadrangles into a single area patch. Using topology rules, errors were identified and corrected. The data were then exported to polygon, line, and point coverages using Arc Catalog. Next, the data were then projected to Geographic coordinates in decimal degrees and run through the 20040524 ReCert AMLs provided by NCGC and uploaded to the Soil Data Warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2
Process_Date: 2006
Process_Step:
Process_Description: NRCS soil scientists developed the tabular soil data in the NASIS (National Soil Information System) database.
Source_Used_Citation_Abbreviation: NRCS3
Process_Date: 2006
Process_Step:
Process_Description: This data set is advance soil survey information and is subject to change. Attribute data and correlation of map units may be revised during the course of the soil survey.
Source_Used_Citation_Abbreviation: NRCS1, NRCS2, NRCS3
Process_Date: 2006
Process_Step:
Process_Description: For the quadrangles of Belmont and Wellsville North, field maps were manually compiled to 1:24000 scale, using 7.5 minute orthophoto quadrangles. The soil delineation overlays were created by compiling the soil lines to a stable-base material pin registered to the orthophoto quadrangle. The 7.5 minute soil map unit delineation and label overlays were raster scanned by Midwest Graphics, Kenosha, Wisconsin at 250 dpi on an Intergraph Anatech scanner in tiff uncompressed format. The data were sent to the Wisconsin Digitizing Unit in Madison, Wisconsin. Four control points that, corresponded to the four corners on the 7.5 minute quadrangles were, used for registration during data collection. The tiff files were imported into ArcGIS 9.1 ArcMap. The tiff files were georeferenced in ArcMap. Using the raster cleanup tools, the tiff files were cleaned, edge-matched and vectorized to a polygon feature class. Using the label overlay tiff files as a back drop, the soil polygons were attributed and line and point features classes were digitized and labeled. Compilation and digitizing quality control were done by USDA-NRCS, Belmont Service Center, Belmont, NY Soil Survey Project Leader and the WIDU. A pen plot review of what is currently digitized was performed by the WIDU. The data were then joined with the previously developed quadrangles into a single area patch. Using topology rules, errors were identified and corrected. The data were then exported to polygon, line, and point coverages using Arc Catalog. Next, the data were then projected to Geographic coordinates in decimal degrees and run through the 20040524 ReCert AMLs provided by NCGC and uploaded to the Soil Data Warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS4
Process_Date: 2007
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20070201
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20070202
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20070412
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20070412
Process_Step:
Process_Description: Soil delineations in Potter Co., Pennsylvania were snapped to the end nodes of Allegany Co. and the both state lines were adjusted to be straight and match perfectly. Minor corrections to soil delineations within Allegany were made in conference between the Soil Survey Project Leaders for the survey areas using slope maps generated from 10 meter digital elevation models and the most recent orthophotographic imagery. Corrections and adjustments to both counties were completed at the Pennsylvania Map Compilation and Digitizing Center in University Park, PA. The data were then run through the 20040524 ReCert AMLs provided by NCGC and uploaded to the Soil Data Warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS5
Process_Date: 20070427
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20070430
Process_Step:
Process_Description: Field maps were manually compiled to 1:24000 scale, using 7.5 minute orthophoto quadrangles. The soil delineation overlays were created by compiling the soil lines to a stable-base material pin, registered to the orthophoto quadrangle. The soil delineation overlays were raster scanned by the Wisconsin Digitizing Unit, Madison, Wisconsin on a Graphtec, CS500 Pro Scanner at 250 dpi in tif format. The vector editing, labeling, and edge matching for the soils and special soil features were done in ArcGIS Version 9.2 for the following quadrangles by the Wisconsin Digitizing Unit, USDA, Natural Resources Conservation Service, Madison, Wisconsin (WIDU): Andover, Greenwood, and Hornell Compilation and digitizing quality control were by USDA-NRCS, Belmont Service Center, Belmont, NY Soil Survey Project Leader and the WIDU. A pen plot review of what is currently digitized was performed by the WIDU. The new data were then joined with the existing SSURGO dataset into a single area patch. The data was processed through the 20040524 certification AMLs provided by the National Cartographic and Geospatial Center in Ft. Worth, TX. Upon successful completion through the AMLs, the data was uploaded to the Data Mart.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2, NRCS6
Process_Date: 2007
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20080208
Process_Step:
Process_Description: Field maps were manually compiled to 1:24000 scale, using 7.5 minute orthophoto quadrangles. The soil delineation overlays were created by compiling the soil lines to a stable-base material pin, registered to the orthophoto quadrangle. The soil delineation overlays were raster scanned by the Wisconsin Digitizing Unit, Madison, Wisconsin on a Graphtec, CS500 Pro Scanner at 250 dpi in tif format. The vector editing, labeling, and edge matching for the soils and special soil features were done in ArcGIS Version 9.2 for the following quadrangle by the Wisconsin Digitizing Unit, USDA, Natural Resources Conservation Service, Madison, Wisconsin (WIDU): Alfred Compilation and digitizing quality control were by USDA-NRCS, Belmont Service Center, Belmont, NY Soil Survey Project Leader and the WIDU. The new data were then joined with the existing SSURGO dataset into a single area patch. In the previous version it was determined that the 100D (Udorthents, loamy skeletal 0 to 25 percent slopes) unit was not adequate for the entire survey area. This Map unit needed to be subdivided to separate out the Udorthents formed from glacial outwash gravel soils and those formed from upland glacial till. The upland glacial till areas now have a symbol of 200D (Udorthents, loamy, 0 to 25 % slopes). These area occur mostly in the upland areas along Interstate 86 where material was borrowed for fill material, and on the campuses of Alfred University and Alfred State College. The 34A map unit was originally mapped as Getzville and was mapped as very poorly and poorly drained. It was decided to change the map unit name to Atherton and make it poorly drained. Any map units of 34A that were very poorly drained were changed to map unit 39A (which used to be called Halsey, but after gathering data, now is our map unit of very poorly drained Atherton). The data was processed through the 20040524 certification AMLs provided by the National Cartographic and Geospatial Center in Ft. Worth, TX. Upon successful completion through the AMLs, the data was uploaded to the Data Mart.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2, NRCS7
Process_Date: 20080129
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20090129
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20090129
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20090130
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20090130
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100202
Process_Step:
Process_Description: Soil scientists reviewed and edited data for hydric rating and hydric criteria. Interpretations for storm water management were added to the set of interpretations. The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100205
Process_Step:
Process_Description: For the West Almond Quadrangle field maps were manually compiled to 1:24000 scale, using 7.5 minute orthophoto quadrangles. The soil delineation overlays were created by compiling the soil lines to a stable-base material pin, registered to the orthophoto quadrangle. The soil delineation overlays were raster scanned by the Wisconsin Digitizing Unit, Madison, Wisconsin on a Graphtec, CS500 Pro Scanner at 250 dpi in tif format. The vector editing, labeling, and edge matching for the soils and special soil features were done in ArcGIS Version 9.2 for the following quadrangle by the Wisconsin Digitizing Unit, USDA, Natural Resources Conservation Service, Madison, Wisconsin (WIDU). West Almond compilation and digitizing quality control were by USDA-NRCS, Belmont Service Center, Belmont, NY Soil Survey Project Leader and the WIDU. The new data were then joined with the existing SSURGO dataset into a single area patch The data was processed through the 20040524 certification AMLs provided by the National Cartographic and Geospatial Center in Ft. Worth, TX. Upon successful completion through the AMLs, the data was uploaded to the Data Mart.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2, NRCS8
Process_Date: 20080129
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20110118
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20110124
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20111207
Process_Step:
Process_Description: Hydric ratings for minor soil components were included in the data set. Hydrologic Soil Group data was updated to current criteria. The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20111207
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20120120
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20120120
Process_Step:
Process_Description: For the field maps for the Friendship Quadrangle were manually digitized (on-screen) at the Belmont Soil Survey Office, by NRCS Soil Scientists. The vector digitizing, labeling, and edge matching for the soils and special soil features were done in ArcGIS Version 9.2, by building onto the existing SSURGO soil dataset which was downloaded from Soil Data Mart. Friendship quadrangle digitizing quality control was done by USDA-NRCS, Greenwich, NY Resource Soil Scientist. The data was then sent to the Wisconsin Digitizing Unit in Madison, Wisconsin.
Source_Used_Citation_Abbreviation: NRCS9, USGS1, FSA1
Process_Date: 20120629
Process_Step:
Process_Description: The data were sent to the Wisconsin Digitizing Unit in Madison, Wisconsin. In ARC/INFO, the Allegany County data were checked with the SSURGO Evaluation AMLs provided by U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center for accuracy and completeness. Once the data was successfully evaluated by the AMLs, it was submitted to the Soil Data Mart for archival and distribution
Source_Used_Citation_Abbreviation: NRCS9
Process_Date: 201207011
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20120712
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20120919
Process_Step:
Process_Description: Updated hydrologic soil group for Ceres components. The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20120921
Process_Step:
Process_Description: The field maps for the Allentown and Bolivar Quadrangles were manually digitized (on-screen) at the Belmont Soil Survey Office, by NRCS Soil Scientists. The vector digitizing, labeling, and edge matching for the soils and special soil features were done in ArcGIS Version 9.2, by building onto the existing SSURGO soil dataset which was downloaded from Soil Data Mart. Allentown and Bolivar quadrangles digitizing quality control was performed by the USDA-NRCS, Greenwich, NY Resource Soil Scientist.
Source_Used_Citation_Abbreviation: NRCS9, USGS1, FSA1
Process_Date: 2013
Process_Step:
Process_Description: The individual shapefiles were appended into a geodatabase for region 12. The data were processed in ARCGIS 10.1 using a topology object with a 0.1 meter cluster tolerance for the purpose of eliminating gaps and overlaps within the region 12 soils geodatabase. Individual soil survey area data were exported as shapefiles from the regional geodatabase. A datum transformation from NAD83 to WGS84 using the NAD_1983_To_WGS_1984_1 datum transformation method was applied to the data. The data were checked with the SSURGO Evaluation scripts provided by U.S. Department of Agriculture, Natural Resources Conservation Service. The shapefiles were then uploaded to the soil data warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS10
Process_Date: 2013
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20131216
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20131216
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20140913
Process_Step:
Process_Description: Soil interpretation factors K, T, WEG, WEI, concrete corrosion potential, and steel corrosion potential were calculated based on national standard parameters. The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20140913
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20150920
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20150920
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20160923
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20160923

Spatial_Data_Organization_Information

Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: G-polygon
Point_and_Vector_Object_Count: 24819

Spatial_Reference_Information

Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.000001
Longitude_Resolution: 0.0000001
Geographic_Coordinate_Units: decimal degrees
Geodetic_Model:
Horizontal_Datum_Name: World Geodetic System 1984
Ellipsoid_Name: World Geodetic System 1984
Semi-major_Axis: 6378137.00000
Denominator_of_Flattening_Ratio: 298.257222

Entity_and_Attribute_Information

Entity_Type:
Entity_Type_Label: Special Soil Features
Entity_Type_Definition: Special Soil Features represent soil, miscellaneous area, or landform features that are too small to be digitized as soil delineations (area features).
Entity_Type_Definition_Source: Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS.
Attributes:
Name Description Values
Special Soil Features Codes Special Soil Features labels represent specific Special Soil Features. These features are identified with a descriptive label. The label is assigned to the point or line assigned to represent the feature on maps. Advance Copy of the Soils of Allegany County area, New York
U.S. Department of Agriculture, Natural Resources Conservation Service
Overview_Description:
Entity_and_Attribute_Overview:
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.

Entity_and_Attribute_Detail_Citation:
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.


Distribution_Information

Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Albert R. Mann Library
Contact_Address:
Address_Type: mailing and physical
Address: Cornell University
City: Ithaca
State_or_Province: New York
Postal_Code: 14853
Contact_Voice_Telephone: 607-255-5406
Contact_Electronic_Mail_Address: mann-ref@cornell.edu
Distribution_Liability: Cornell University provides these geographic data "as is". Cornell University makes no guarantee or warranty concerning the accuracy of information contained in the geographic data. Cornell University further makes no warranty either expressed or implied, regarding the condition of the product or its fitness for any particular purpose. The burden for determining fitness for use lies entirely with the user. Although these files have been processed successfully on computers at Cornell University, no warranty is made by Cornell University regarding the use of these data on any other system, nor does the fact of distribution constitute or imply any such warranty.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: Shapefile
Format_Information_Content: zipped shapefile
File_Decompression_Technique: zip
Transfer_Size: 31.80
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Digital_Form:
Digital_Transfer_Information:
Format_Name: metadata
Format_Information_Content: FGDC XML metadata
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Digital_Form:
Digital_Transfer_Information:
Format_Name: HTML metadata
Format_Information_Content: FGDC HTML metadata
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Digital_Form:
Digital_Transfer_Information:
Format_Name: KML
Format_Information_Content: generated KML, via WFS
Digital_Transfer_Option:
Online_Option:
Digital_Form:
Digital_Transfer_Information:
Format_Name: GeoJSON
Format_Information_Content: generated GeoJSON, via WFS
Digital_Transfer_Option:
Online_Option:
Digital_Form:
Digital_Transfer_Information:
Format_Name: OGC:WMS
Format_Information_Content: WMS, from GeoServer
Digital_Transfer_Option:
Online_Option:
Fees: None

Distribution_Information

Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Department of Agriculture, Natural Resources Conservation Service, National Geospatial Center of Excellence
Contact_Address:
Address_Type: mailing and physical address
Address: 501 West Felix Street, Building 23
City: Fort Worth
State_or_Province: Texas
Postal_Code: 76115
Contact_Voice_Telephone: 800 672 5559
Contact_TDD/TTY_Telephone: 202 720 2600
Contact_Facsimile_Telephone: 817 509 3469
Resource_Description: Allegany County area, New York SSURGO
Distribution_Liability:
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.)

Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: ESRI shapefile
Format_Information_Content: spatial
Transfer_Size: 42.7
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: URL:http://DataGateway.nrcs.usda.gov/
Access_Instructions: Select desired survey area at above Internet Web site. An email address is required for receipt of instructions on retrieval via anonymous FTP. Anticipate a delay between submission of request at Web site and receipt of email message.
Fees: There is currently no direct charge for requesting data or for retrieval via FTP.
Ordering_Instructions: 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 shapefile, format. The National Soil Information System attribute soil data are available in variable length, pipe delimited, ASCII file format.
Turnaround: Typically within four hours

Metadata_Reference_Information

Metadata_Date: 20190524
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Albert R. Mann Library
Contact_Address:
Address_Type: mailing and physical
Address: Albert R. Mann Library
City: Ithaca
State_or_Province: New York
Postal_Code: 14853
Country: USA
Contact_Voice_Telephone: 607-255-5406
Contact_Electronic_Mail_Address: mann-ref@cornell.edu
Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time