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 Area (MLRA) 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 5 acres.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S Department of Agriculture, Soil Conservation
Service
Publication_Date: 1971
Title: Soil Survey of Broome County, New York
Geospatial_Data_Presentation_Form: atlas
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: U.S. Government Printing Office
Source_Scale_Denominator: 15840
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1967
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: 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: 1969
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS2
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: 2002
Title: multiple orthophoto quarter quadrangles (DOQQ)
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: 12000
Type_of_Source_Media: stable base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2006
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS1
Source_Contribution: registration source
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 Broome
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: NRCS2
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: NRCS3
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:
ArcGIS geodatabase files for the soil survey of
Broome County, New York
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 24000
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2007
Source_Currentness_Reference: 2007
Source_Citation_Abbreviation: NRCS4
Source_Contribution:
digital information containing area and special
soil features for evaluation
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: 2007
Title: National Soil Information System (NASIS) database
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: 2007
Source_Currentness_Reference: export certification date
Source_Citation_Abbreviation: NRCS5
Source_Contribution:
map unit legend used for comparison to spatial
map unit labels
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2007
Title: National Soil Information System (NASIS) data base
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Type_of_Source_Media: database
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2007
Ending_Date: 2007
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NASIS
Source_Contribution: attribute (tabular) information
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural
Resources Conservation Service
Publication_Date: 2007
Title:
Soil Survey Geographic (SSURGO) database for Broome
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
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2007
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: 2007
Title:
Soil Survey Geographic (SSURGO) database for Broome
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
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2008
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS6
Source_Contribution: re-archiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2004 - 2007
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 (NY007) Broome County, New York:
NY017 Chenango County, New York
NY023 Cortland County, New York
NY025 Delaware County, New York
NY107 Tioga County, New York
PA115 Susquehanna County, Pennsylvania
PA127 Wayne County, Pennsylvania
Source_Scale_Denominator: 12000, 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2004
Ending_Date: 2007
Source_Currentness_Reference: dates of publication
Source_Citation_Abbreviation: NRCS7
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: NRCS8
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: 2014
Source_Currentness_Reference: SSURGO publication date
Source_Citation_Abbreviation: NRCS9
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
Broome County had a previously published soil
survey in 1971, at 1:15840 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, SCS2
Process_Date: 2001
Process_Step:
Process_Description:
The annotated overlays were raster scanned on a Tangent scanner at
300 dots per inch (DPI) at the Natural Resources Conservation Service
(NRCS), National Cartography and Geospatial Center (NCGC) in
Ft. Worth, Texas. Four corners of the 3.75 minute quadrangle were
used for registration during data collection. Survey-wide development,
edge matching, vector conversion and editing were accomplished using
ARC/INFO, Version 9.1. Available adjacent certified boundaries were
duplicated. Special soil features were digitized from the annotated overlays.
Source_Used_Citation_Abbreviation: NRCS1, NRCS2, NRCS3
Process_Date: 2007
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 2007
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 2007
Process_Step:
Process_Description:
The ArcGIS Geodatabase files and a verified map unit
legend were imported to ARC/INFO, Version 9.1 by certification staff
at the Montana Digitizing Unit. The data were processed through
evaluation macros dated June 2004. The map unit labels were
compared to the National Soil Information System map unit legend.
The data were uploaded to the Soil Data Warehouse staging server.
Source_Used_Citation_Abbreviation: NRCS4, NRCS5
Process_Date: 2007
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20070829
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: 20070829
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined that
the tabular data should be released for official use. A selected set of
map units and components in the soil survey legend was copied to a
staging database, and rating values for selected interpretations were
generated. The list of selected interpretations is stored in the
database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100202
Process_Step:
Process_Description:
Soil scientists reviewed and edited data for hydric rating and hydric
criteria. Interpretations for storm water management were added to the
set of interpretations. The Natural Resources Conservation Service State
Soil Scientist or delegate verified that the labels on the digitized
soil map units link to map units in the tabular database, and certified
the joined data sets for release to the Soil Data Warehouse. A system
assigned version number and date stamp were added and the data were
copied to the data warehouse. The tabular data for the map units and
components were extracted from the data warehouse and reformatted into
the soil data delivery data model, then stored in the Soil Data Mart.
The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100205
Process_Step:
Process_Description:
The MIDU staff checked the spatial data with the ARCGIS Version 9.2
software. The boundaries of this soil survey were adjusted to match
the adjacent soil surveys. To remove excess vertices, the soil
boundaries were generalized at a 0.5 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 digital maps of the mapping units and the special soil features
were imported into the ARC/INFO Version 7.2.1 software for review and
certification. The MIDU staff checked the data with a set of ARC Macro
Language (AML) programs developed by the NCGC. The seamless coverages
were checked using the January 2006 SSURGO Evaluation AML programs.
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, NRCS6, NRCS7
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: 20111206
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: 20111206
Process_Step:
Process_Description:
The spatial data for Broome 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: NRCS8
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: NRCS9
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: NRCS9
Process_Date: 20140425
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20140913
Process_Step:
Process_Description: Soil interpretation factors K, T, WEG, WEI, concrete corrosion potential, and steel corrosion potential were calculated based on national standard parameters.
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20140913
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20150920
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20150920
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20160923
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20160923