SSURGO soils, Cortland County NY

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Identification_Information

Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20140914
Title: SSURGO soils, Cortland County NY
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: Soil Survey Geographic (SSURGO) database
Issue_Identification: Cortland County 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-007903
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: 20050508
Ending_Date: 20140914
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -76.274552
East_Bounding_Coordinate: -75.864007
North_Bounding_Coordinate: 42.790975
South_Bounding_Coordinate: 42.407653
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: Cortland County
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/00/79/03/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.

The quadrangles in this survey are edge matched to quadrangles in
adjacent SSURGO certified soil surveys, Madison, Onondaga, Cayuga,
Tompkins, and Tioga Counties, New York, and the survey area boundaries
match.

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

Descriptive attributes (tabular information about the polygons and
line segments) were developed specifically for each survey area.
Although most don't match exactly, the descriptive attributes of
most polygon and line segments in this survey are nearly the same
as adjacent ones in edge matched soil surveys.

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.

This soil survey is a subset of Major Land Resource Areas (MLRA) 101 and 140.
Profile descriptions and transects from the entire MLRA, supplement documentation
from within the subset.

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 1.5 acres.

Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The accuracy of these digital data is based upon their
compilation to base maps that meet National Map
Accuracy Standards 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: 1961
Title: Soil Survey of Cortland County, New York
Geospatial_Data_Presentation_Form: atlas
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: U.S. Government Printing Office
Source_Scale_Denominator: 20000
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1960
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS1
Source_Contribution: soil attributes and special feature locations
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: unpublished material
Title: publication annotation overlays
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 20000
Type_of_Source_Media: film
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1960
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS1
Source_Contribution: final publication negatives used to develop film positives
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: unpublished material
Title: ratioed film positives of publication annotated overlays
Geospatial_Data_Presentation_Form: remote sensing image
Source_Scale_Denominator: 12000
Type_of_Source_Media: film
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1960
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS2
Source_Contribution: source material for special soil features, soil polygons, and soil attributes
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 1998
Title: multiple 3.75 minute orthophotographic quadrangles
Geospatial_Data_Presentation_Form: remote sensing image
Source_Scale_Denominator: 12000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1994
Ending_Date: 1995
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS3
Source_Contribution: base material for compilation and a reference for compilation of cultural features
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 2004
Title: Digital Raster Graphic County Mosaic of Cortland County, New York (DRG)
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1943
Ending_Date: 1979
Source_Currentness_Reference: source material publication date
Source_Citation_Abbreviation: NRCS4
Source_Contribution: source for county boundaries
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20030328
Title: Orthophoto Mosaic for Cortland County, New York
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center
Source_Scale_Denominator: 40000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 19940503
Ending_Date: 19950417
Source_Currentness_Reference: date aerial photography flown
Source_Citation_Abbreviation: NRCS5
Source_Contribution: source for 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: 12000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1994
Ending_Date: 1996
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS6
Source_Contribution: scanning and digitizing source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: unpublished material
Title: Digital Line Graph-3 Optional format files of soils Data for Cortland County, New York (DRGs)
Geospatial_Data_Presentation_Form: vector digital data
Source_Scale_Denominator: 12000
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1957
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS7
Source_Contribution: SSURGO certification source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20021105
Title: Soil Survey Geographic (SSURGO) database for Cayuga 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
Source_Scale_Denominator: 12000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20021105
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS8
Source_Contribution: county border source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20040120
Title: Soil Survey Geographic (SSURGO) database for Onondaga 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
Source_Scale_Denominator: 12000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20040120
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS9
Source_Contribution: county border source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20040708
Title: Soil Survey Geographic (SSURGO) database for Madison 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
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20040708
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS10
Source_Contribution: county border source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 2005
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: 2005
Ending_Date: 2005
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: 2005
Title: Soil Survey Geographic (SSURGO) database for Cortland 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: 2006
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS11
Source_Contribution: re-archiving source
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: NRCS12
Source_Contribution: Source of digital revision
Source_Information:
Source_Citation:
Citation_Information:
Originator: Cortland County Soil and Water Conservation District
Publication_Date: Unpublished material
Title: Light Detection and Ranging (LiDAR) for Cortland County, New York
Geospatial_Data_Presentation_Form: GRID format
Type_of_Source_Media: 5 meter digital raster grid
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20050506
Source_Currentness_Reference: date of delivery of processed data to NRCS
Source_Citation_Abbreviation: SWCD1
Source_Contribution: Digital elevation data
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Natural Resources Conservation Service
Publication_Date: 20050112
Title: Orthophoto High Resolution Mosaic for Cortland County, NY
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service
Type_of_Source_Media: DVD
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2003
Ending_Date: 2003
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: NRCS13
Source_Contribution: Orthophotography (1.0 foot pixel size and horizontal accuracy of +/- 4 feet) used to print field sheets and as a base for digitizing soil map units
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA-NRCS-NCGC
Publication_Date: 2002
Title: The Temperature Regime for Selected Soils in the United States
Geospatial_Data_Presentation_Form: remote-sensing image
Type_of_Source_Media: Digital
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2002
Source_Currentness_Reference: date of publication
Source_Citation_Abbreviation: NRCS14
Source_Contribution: Linear regression model used to develop a temperature regime map for the area.
Source_Information:
Source_Citation:
Citation_Information:
Originator: USDA-FSA-APFO
Publication_Date: 20111121
Title: USDA-FSA-APFO Digital Ortho Mosaic
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Salt Lake City, Utah
Publisher: USDA_FSA_APFO Aerial Photography Field Office
Type_of_Source_Media: on-line
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 20110511
Ending_Date: 20110702
Source_Currentness_Reference: ground condition
Source_Citation_Abbreviation: NRCS15
Source_Contribution: Orthophotography used to identify land use changes and as a base for digitizing soil map units
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:
Single_Date/Time:
Calendar_Date: 2014
Source_Currentness_Reference: SSURGO publication date
Source_Citation_Abbreviation: NRCS16
Source_Contribution: Source of digital revision
Process_Step:
Process_Description: Cortland County had a previously published soil survey in 1961, at 1:20000 scale. An evaluation was made of the soil survey in 2001. A determination was made that the survey is out of date, requiring extensive updates to map unit concepts and other information. The soil map unit delineations and map unit components are sufficiently accurate for some uses.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 2001
Process_Step:
Process_Description: Ratioed film positives, at 1:12000 scale, were made from the publication annotation overlays. Soil map unit delineations, soil symbols and special soil features were manually compiled from the film positives to stable-base material registered to 3.75 minute orthophotographic quadrangles. Errors from the published soil survey were corrected and map unit boundaries were refined, as needed, to the orthophotographic quadrangles.
Source_Used_Citation_Abbreviation: NRCS1, NRCS2, NRCS3
Process_Date: 2001
Process_Step:
Process_Description: The 3.75 minute quadrangle annotated soil delineation overlays were raster scanned by Midwest Graphics, Kenosha, Wisconsin at 250 dpi on an Intergraph Anatech scanner in rlc format. Four control points corresponding to the four corners on the 3.75 minute quadrangles were used for registration during data collection. The data were sent to the Soils Information Systems Laboratory, Cornell University, Ithaca, New York. The raster editing, labeling, edge matching, vector conversion and editing were done in LT4X Version 4.1.1. The data were created and maintained in North American Datum of 1983. A ten percent review of the soils and special soil features were reviewed by the Major Land Resources Area (MLRA), Amherst, Massachusetts. The soils data were run through a series of LT4X macros for correctness and completeness. These macros smoothed out and thinned out linework, added nodes for every 3000 vertices, added corner nodes and snapped nodes across the neatlines. The digital soils were exported as Digital Line Graph-3 Optional format files in LT4X.
Source_Used_Citation_Abbreviation: SCS1, NRCS6
Process_Date: 2001
Process_Step:
Process_Description: The DLGs of soil survey area Cortland County, New York soils data were submitted to the U.S. Department of Agriculture, Natural Resources Conservation Service, Wisconsin Digitizing Unit, Madison, Wisconsin (WIDU) for SSURGO certification. The special soil features were manually digitized from the scanning source in LT2000 at a resolution of at least 0.01 inch. The raster editing, labeling, edge matching, vector conversion and editing were done in LT2000. The data were created and maintained in North American Datum of 1983. The special soil features data were run through a series of LT4X macros for correctness and completeness. These macros smoothed and thinned out linework, added nodes for every 3000 vertices, added corner nodes and snapped nodes across the neatlines. A 100 percent check plot review of the soils and special soil features was performed by the WIDU staff. The digital special soil features data were exported as Digital Line Graph-3 Optional format files in LT4X. The soils and Special soil features DLG-3 files were evaluated with the August, 2001 ARC/INFO SSURGO evaluation AMLs provided by U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center, Fort Worth, Texas. Upon successful completion of the evaluation AMLs, the DLGs were rewritten from the ARC/INFO Version 7.11. The new DLGs were imported into ArcInfo coverages and merged into a full county patch. The county border, created in ArcMap version 8.0, using the Cortland County, New York DRG and DOQ mosaics for reference, was edited to the survey. The borders from adjacent SSURGO certified counties Madison, Cayuga and Onondaga were also edited to the survey. The data were then processed with May 2004 re-archiving AMLs provided by the National Cartography and Geospatial Center, Fort Worth, Texas (NCGC). Upon successful completion of these AMLs, the SSURGO data were submitted to the Soil Data Warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS4, NRCS5, NRCS6, NRCS7, NRCS8, NRCS9, NRCS10
Process_Date: 2005
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: 20050509
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: 20050509
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: 20051212
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: 20051214
Process_Step:
Process_Description: The online SSURGO data set was downloaded by the Wisconsin Digitizing Unit in Madison, Wisconsin. The Cortland Survey area boundary was adjusted to be an exact match to the survey area boundaries of the SSURGO certified surveys of Cayuga County, Tioga County, and Tompkins County, New York. The data was processed through the 20040524 certification AMLs provided by the National Cartographic and Geospatial Center in Ft. Worth, TX. The data was then uploaded to the datamart.
Source_Used_Citation_Abbreviation: NRCS6
Process_Date: 20060915
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20060918
Process_Step:
Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20061210
Process_Step:
Process_Description: Tabular data was entered/edited in NASIS for geomorphic description and selected chemical and physical properties. 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: 20061211
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: 20100203
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: 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 spatial data for Cortland County, New York soil survey area was downloaded from the Soil Data Mart on October 15, 2012. 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: NRCS12
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: 20131124
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: 20131124
Process_Step:
Process_Description: The SSURGO spatial data for Soil Survey Region 12(SSR12) area was downloaded from Web Soil Survey on February 12, 2014. The individual shapefiles were appended into a file geodatabase for Region 12 using ARCGIS 10.1
Source_Used_Citation_Abbreviation: NRCS13
Process_Date: 201402112
Process_Step:
Process_Description: The current SSURGO spatial data for Broome County, NY was extracted from the Soil Survey Region 12 geodatabase and edited along the boundary with Cortland County to achieve an acceptable join with the revised spatial data for Cortland County. The soils dataset was sent to the NRCS Digitizing Unit. The data was incorporated into the Region 12 Transactional Geodatabase and evaluated for completeness. The data were then exported as a shapefiles and uploaded to Web Soil Survey for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS13
Process_Date: 20140425
Process_Step:
Process_Description: A Memorandum of Understanding (MOU) was signed by NRCS, Cortland County Soil and Water Conservation District, and Cornell Cooperative Extension to update the soil survey of Cortland County. Field work was conducted by NRCS and contract soil scientists. Field procedures for the second order soil survey update included plotting of soil boundaries determined by field observation, by interpretation of remotely sensed data, and recorrelation of the existing soil survey. Boundaries were verified at closely spaced intervals, and the soil map units were identified by traversing and transecting the landscape. The classification and map unit names were progressively reviewed between 2005 and November 2013. Quality control and quality assurance were conducted by soil scientists at the 12-BEL MLRA Soil Survey Office, New York Natural Resources Conservation Service, and Soil Survey Region 12 Office.
Source_Used_Citation_Abbreviation: SWCD1, NRCS4, NRCS11, NRCS13, NRCS14, NRCS15
Process_Date: 2005-2013
Process_Step:
Process_Description: Soil delineations from the previously published soil survey of Cortland County were manually edited using ArcMap, version 10.1. To ensure accuracy at publication scale, digital soil delineations were visually verified at a scale of 1:12,000 with reference to digital ancillary layers including orthoimagery, geology, soil temperature regime, and five meter resolution hillshade, slope, and contour models developed from the five meter LiDAR data. Easily identified features were referenced to ensure vertical integration and accurate soil delineation placement. Digitizing, quality control, and quality assurance were performed by soil scientists at the 12-BEL MLRA Soil Survey Office, New York Natural Resources Conservation Service, and Soil Survey Region 12 Office.
Source_Used_Citation_Abbreviation: SWCD1, NRCS4, NRCS11, NRCS13, NRCS14, NRCS15
Process_Date: 2013
Process_Step:
Process_Description: The soils dataset for Cortland County, New York was sent to the Madison, Wisconsin Digitizing Unit. The data was incorporated into the Region 12 Transactional Geodatabase and evaluated for completeness. The data were then exported as a shapefiles and uploaded to Web Soil Survey for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS16
Process_Date: 20140418
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: 20140504
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: 20140504
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: 20140914
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: 20140914
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: 20150925
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: 20150925
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: 19838

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. Classification and Correlation of the Soils of Cortland County, 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: 22.89
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: Cortland County, 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: 26.3
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