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 39
acres for the less detailed soil survey (order 3 survey) and about
2.5 acres for the more detailed soil survey (order 2 survey).
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Agricultural
Stabilization and Conservation Service
Publication_Date: 1976
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: 62500
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1976
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: ASCS1
Source_Contribution: photographic base map materials for field mapping
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: unpublished material
Title: multiple film positives of 15 minute orthophotoquads
Geospatial_Data_Presentation_Form: remote-sensing image
Source_Scale_Denominator: 62500
Type_of_Source_Media: stable-based material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1976
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: USGS1
Source_Contribution: base map for compilation
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1970-1990
Title: multiple 7.5 minute topographic 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: 1970
Ending_Date: 1990
Source_Currentness_Reference: final publication date
Source_Citation_Abbreviation: USGS2
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:
multiple ratioed film positives of the 1:62500 compiled
soil map 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: 1976
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS1
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: unpublished material
Title:
multiple ratioed film positives of 7.5 minute
Orthophoto quads
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
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS2
Source_Contribution:
compilation source material for special soil
features, soil polygon, and soil attributes
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: 1994
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS3
Source_Contribution: scanning source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: 2003
Title:
National Soil Information System (NASIS) database for
Hamilton 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: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2003
Source_Currentness_Reference: export certification date
Source_Citation_Abbreviation: NRCS4
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: 2004
Title: National Soil Information System (NASIS) data base
Geospatial_Data_Presentation_Form: unknown
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: 2004
Ending_Date: 2004
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: 2003
Title:
Soil Survey Geographic (SSURGO) database for Hamilton
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: NRCS5
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: NRCS6
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
The Soil Survey of Hamilton County, New York began
in 1986. The survey area was mapped at a scale of 1:62500 on a base
map of aerial photography. The soil survey concluded in 1994 with a
final correlation that finalized the classification and map unit names.
Source_Used_Citation_Abbreviation: ASCS1
Process_Date: 1994
Process_Step:
Process_Description:
U.S. Geological Survey used a photographic process
to prepare stable-base orthophotoquad (15 minute quadrangles)
positives from joined 7.5 minute orthophotoquads for compilation.
These were prepared for the survey area at scale 1:62,500. The soil
delineations on the 1:62500 aerial photo field sheets were compiled
to 1:62,500 orthophotoquad film positives by Soil Scientists from the
Natural Resources Conservation Service in New York.
Source_Used_Citation_Abbreviation: USGS1
Process_Date: 1998
Process_Step:
Process_Description:
U.S. Department of Agriculture, Natural Resources
Conservation Service, National Cartography and Geospatial Center, Fort
Worth, Texas, used a photographic process to prepare enlargements of the
1:62,500 scale 15 minute film positive orthophotoquads to film positives
at a scale of 1:24,000 that could was used as a base for soils, soil
special features and symbols recompilation to a newer digital
orthophotoquad base. These data layers were then recompiled onto the
newer stable-base scan overlays by the NRCS West Virginia Compilation
Center in Summersville.
Source_Used_Citation_Abbreviation: NRCS1, NRCS2, NRCS3
Process_Date: 2002
Process_Step:
Process_Description:
The scan overlays for the survey area 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 7.5 minute quadrangles were used for registration during data
collection. The data were sent to the Madison Wisconsin NRCS Digitizing
Unit. The county boundaries were manually digitized from the 7.5 minute
USGS topographic quadrangles in LT4X Version 4.11 on a Sun UNIX
Workstation. The special soil features were manually digitized from the
scanning source in LT4X at a resolution of 0.01 inch. The raster
editing, labeling, edge matching, vector conversion were done in LT4X
Version 4.11. Check plots of the soils and special soil features were
reviewed by a soil scientist. The soils and special soil features files
were exported to Digital Line Graph-3 Optional format files (DLGs)
directly out of LT4X Version 4.11.
Source_Used_Citation_Abbreviation: USGS2, NRCS3
Process_Date: 2003
Process_Step:
Process_Description:
The metadata and tabular data, including the interpretations data base,
of Hamilton County, New York were prepared by New York Soil Scientists
and provided to U.S. Department of Agriculture, Natural Resources
Conservation Service, Wisconsin Digitizing Unit, Madison, Wisconsin for
SSURGO evaluation. The DLG-3 Optional forma files were evaluated with
the October 1998 ARC/INFO Evaluation AMLs provided by U.S. Department of
Agriculture, Natural Resources Conservation Service, National
Cartography and Geospatial Center, Fort Worth, Texas (NCGC). Upon
successful completion of the SSURGO evaluation, the DLGs were rechecked
with the October 1998 ARC/INFO SSURGO Evaluation AMLs. These DLGs, along
with the NASIS SSURGO download tabular data, were processed with April
2001 archiving AML's provided by NCGC. The certified data were then
ftped to NCGC for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS4
Process_Date: 2003
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: 20040323
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: 20040329
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: 20041021
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: 20041021
Process_Step:
Process_Description:
The online SSURGO data set was downloaded by the
Wisconsin Digitizing Unit in Madison, Wisconsin. The Hamilton Survey
area boundary was adjusted to be an exact match to the survey area
boundaries of the SSURGO certified surveys of Fulton County, Montgomery
County, Warren County, and Essex County, New York. Soils lines and
attributes along the join with these three counties were also changed to
provide a more accurate join. The data was processed through the
20040524 certification AMLs provided by the National Cartographic and
Geospatial Center in Ft. Worth, TX. The data was they uploaded to the
Soil Datamart for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS5
Process_Date: 20060818
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:
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 Hamilton 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 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: 20150921
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: 20150921
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