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.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Agricultural
Stabilization and Conservation Service
Publication_Date: 1981
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: 1981
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: ASCS1
Source_Contribution:
photographic base materials for field mapping and source material
for special soil features, soil polygons, and soil attributes
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: unpublished material
Title: multiple soil maps on a photographic base
Geospatial_Data_Presentation_Form: remote sensing image
Source_Scale_Denominator: 24000
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1960
Ending_Date: 1986
Source_Currentness_Reference: dates of field mapping
Source_Citation_Abbreviation: SCS1
Source_Contribution:
conservation plan mapping and other special request
soil mapping, used as reference
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: multiple film positives of 7.5 minute digital 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: 2002
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: 1947-1978
Title: multiple 7.5 and 15 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: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1947
Ending_Date: 1978
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: 2004
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS2
Source_Contribution: scanning source and labeling 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 Fulton
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: 2006
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: 2006
Ending_Date: 2006
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: 2006
Title:
Soil Survey Geographic (SSURGO) database for Fulton 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: 2006
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS4
Source_Contribution: rearchiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2005 - 2006
Title:
Soil Survey Geographic (SSURGO) databases
for adjacent surveys
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher:
U.S. Department of Agriculture,
Natural Resources Conservation Service,
Information Technology Center
Other_Citation_Details:
These soil surveys are adjacent to
(NY035) Fulton County, New York:
NY041 Hamilton County, New York
NY057 Montgomery County, New York
NY091 Saratoga County, New York
NY615 Herkimer County, New York, Southern Part
Source_Scale_Denominator: 12000, 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2005
Ending_Date: 2006
Source_Currentness_Reference: dates of publication
Source_Citation_Abbreviation: NRCS5
Source_Contribution: used to check joins to the adjacent soil surveys
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: NRCS6
Source_Contribution: Source of digital revision
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: 2015
Source_Currentness_Reference: SSURGO publication date
Source_Citation_Abbreviation: NRCS7
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
The Soil Survey of Fulton County, New York began in 1985. Portions of
the survey area were mapped at a scale of 1:24000 and other areas were
mapped in less detail at a scale of 1:62500. Separations between
mapping orders were based on the Adirondack Park Agency Land Use
Planning Map. Procedures for Order 2 mapping consisted of intensive
field investigation in conjunction with remote sensing of imagery.
Boundaries of delineations were verified by traversing the landscape
at closely spaced intervals. Procedures for Order 3 mapping consisted
of interpretation of remotely sensed data, with field verification of
boundaries in selected areas. Map unit composition and delineation
boundaries were confirmed by transecting representative areas. Field
work was completed in 2005. The soil survey concluded in 2006 with a
correlation that finalized the classification of the soils and the map
unit names.
Source_Used_Citation_Abbreviation: ASCS1, SCS1
Process_Date: 1985-2006
Process_Step:
Process_Description:
Compilation base materials were prepared by the U.S. Department of
Agriculture, Natural Resources Conservation Service (USDA-NRCS),
National Cartography and Geospatial Center, Fort Worth, Texas, using a
photographic process to develop stable-base orthophotoquad positives
from digital orthophotographs. These were prepared at 1:24000 scale.
Source_Used_Citation_Abbreviation: NRCS1
Process_Date: 2004
Process_Step:
Process_Description:
Field mapping was compiled onto digital orthophotoquads by
Cartographic staff of the Natural Resources Conservation Service in
New York. Map unit delineations were updated to the more recent
imagery, where appropriate. Delineations, symbols, and special
features were transferred onto stable-base material overlays to
be used as a source for scanning.
Source_Used_Citation_Abbreviation: ASCS1, NRCS1, NRCS2
Process_Date: 2004
Process_Step:
Process_Description:
NRCS soil scientists developed the NASIS database for
Fulton County, New York, to national standards.
Source_Used_Citation_Abbreviation: NRCS3
Process_Date: 2004-2006
Process_Step:
Process_Description:
The compiled soil and feature overlays were mailed to the Wisconsin
Digitizing Unit (WIDU) in Madison, Wisconsin. The 7.5 minute soil map
unit delineation and label overlays were raster scanned by Midwest
Graphics in Kenosha, Wisconsin at 250 dpi on an Intergraph Anatech
scanner in tiff uncompressed format. The data were sent back to the
WIDU staff. The four control points that were used for registration
during data collection corresponded to the four corners on the 7.5
minute quadrangles. 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. A digital county
boundary was added and soil lines were edgematched to the surrounding
counties. Using topology rules, errors were identified and corrected.
The data were then exported to polygon, line, and point coverages
using ArcCatalog. 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: NRCS2
Process_Date: 2006
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: 20060928
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: 20060928
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:
Soil scientists entered/edited data 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:
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 Michigan Digitizing Unit (MIDU) staff downloaded the SSURGO data
for Fulton County, New York and the adjacent surveys from the Soil
Data Warehouse (SDW). The MIDU staff checked the spatial data with
the ARCGIS Version 9.2 software. To remove excess vertices, the soil
boundaries were generalized at a 0.5 meter tolerance. The boundaries
of this soil survey were adjusted to match the adjacent soil surveys
at the 0.1 meter tolerance. After the soil survey was edited, the
area, line and point feature classes were converted to ARC/INFO
coverages and exported as e00 files. The seamless coverages were
checked using the July 2009 SSURGO Evaluation AML programs. The
labels in the spatial data matched the symbols in the mapunit table
from NASIS. Upon successful completion of the SSURGO Evaluation,
the county coverages, feature file and the metadata were
electronically transferred to the NRCS Staging Server to be joined
with the tabular data.
Source_Used_Citation_Abbreviation: NASIS, NRCS4, NRCS5
Process_Date: 2011
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: 20110308
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: 20120919
Process_Step:
Process_Description:
Updated hydrologic soil group for Berkshire and Charlton 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 spatial data for Fulton 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: NRCS6
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: 20131215
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: 20131215
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 current SSURGO spatial data for Fulton County, New York
was edited within the Soil Survey Region 12 geodatabase. As part of
the SDJR MLRA 143 ADK Becket Tunbridge component map units, 15 to 35 percent
slopes (order2) project. The map unit 1091E was changed to 1291D and 1091C was
changed to 1291C. The data was incorporated into the Region 12 Transactional
Geodatabase and evaluated for completeness. The data were then exported as a
shapefile and uploaded to Web Soil Survey for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS7
Process_Date: 20150911
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: 20150923
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: 20150923
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