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 3 acres.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Soil Conservation
Service
Publication_Date: 1969
Title: Soil Survey of Genesee County, New York
Geospatial_Data_Presentation_Form: map
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: 1963
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS1
Source_Contribution:
information for soil map unit delineations and
labels, special soil features locations, data on soil properties
and source for enlargements
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: unpublished material
Title: photocopy enlargements of publication atlas sheets
Geospatial_Data_Presentation_Form: remote-sensing image
Source_Scale_Denominator: 12000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1963
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS1
Source_Contribution: compilation source material
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: 1995, 1996
Title: multiple 3.75 minute orthophotographic quadrangles
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:
Range_of_Dates/Times:
Beginning_Date: 1994
Ending_Date: 1995
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS2
Source_Contribution:
compilation base map for Akron Quadrangle,
source for water bodies for entire county and source for county
boundaries
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1949-1981
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: 1949
Ending_Date: 1981
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: USGS1
Source_Contribution: source for county boundaries
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1949-1981
Title: multiple, screened 3.75 minute topographic quadrangles
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Reston, Virginia
Publisher: U.S. Geological Survey
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: 1949
Ending_Date: 1981
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: USGS2
Source_Contribution: compilation base map for soils
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:
Single_Date/Time:
Calendar_Date: 1963
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: 2000
Title:
Soil Survey Geographic (SSURGO) database for Genesee
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
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2004
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: 2004
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: 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: 2004
Title:
Soil Survey Geographic (SSURGO) database for Genesee
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
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2009
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS5
Source_Contribution: rearchiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S Department of Agriculture, Farm Service Agency
Publication_Date: 2009
Title: NAIP imagery for Genesee County, New York
Geospatial_Data_Presentation_Form: remote sensing image
Publication_Information:
Publication_Place: Salt Lake City, Utah
Publisher: U.S. Department of Agriculture, Farm Service Agency APFO
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2009
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: FSA1
Source_Contribution: editing selected water and soil polygon boundaries to current imagery
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: ARCGIS geodatabase for Genesee County, New York
Geospatial_Data_Presentation_Form: vector digital data
Source_Scale_Denominator: 12000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2010
Source_Currentness_Reference: date of soil survey update
Source_Citation_Abbreviation: NRCS6
Source_Contribution: updated digital soil survey
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2004 - 2010
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 (NY037) Genesee County, New York:
NY029 Erie County, New York
NY051 Livingston County, New York
NY055 Monroe County, New York
NY073 Orleans County, New York
NY664 Niagara County Area, New York
NY121 Wyoming County, New York
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: 2010
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
Process_Step:
Process_Description:
Genesee County had a previously published soil
survey, 1969, at 1:15840 scale An evaluation was made of the soil
survey in 1997. It was determined that the soil map unit
delineations and map unit components were accurate.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 1997
Process_Step:
Process_Description:
The soil survey of Genesee County, New York was
published in 1969. A detailed evaluation revealed that while many
soil classifications have changed because of changes to soil
taxonomy, the soil polygons are accurately placed on the landscape.
An exception to this concerns deposits of organic soils in some
locations that are not as deep to underlying mineral soil material
as when these deposits were originally mapped for the published
soil survey. Since the original mapping, subsidence and erosion
have decreased the thickness of the organic matter primarily in
areas where muck soils have been used for the production of cash
crops. Where these organic deposits extend into Orleans County, no
attempt was made to join node for node or soil type to soil type.
This will be accomplished when updates are performed. Another
exception involves polygons of gravel pit that are labeled with the
spot symbol for "Pits, gravel and other" and polygons of quarry
that are labeled with the spot symbol for "Mines and Quarries."
Since these are delineated polygons, the spot symbol labels are
inappropriate for the digitized soil layer. Therefore,
a map unit of Gravel Pits with a SSURGO label of "Pt" and a map unit
of Quarry with a SSURGO label of "Qu", were added to the correlated
Soil Survey Legend of Genesee county for digitizing purposes.
Polygons labeled with a spot symbol for "Pits, gravel and other"
in the published soil survey, are labeled "Pt" in the digitized soil
survey. Polygons labeled with a spot symbol for "Mines and
Quarries" in the published soil survey, are labeled "Qu" in the
digitized soil survey. Spot symbols used in the published soil survey
for "Pits, gravel or other" and for "Mines and Quarries" which are
not labels for polygons are in the special feature layer of the
digitized soil survey.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 1997
Process_Step:
Process_Description:
In the preparation of the compilation materials,
7.5 minute topographic quadrangle negatives representing the
various feature separates were photographically reproduced as
screened composites by USGS and were enlarged from 1:24000 scale
to 1:12000 scale negatives using large frame photographic
equipment.
Source_Used_Citation_Abbreviation: USGS1, USGS2
Process_Date: 1997
Process_Step:
Process_Description:
The published 1:15840 scale maps from the Soil
Survey of Genesee County, New York were enlarged to 1:12000 scale
and copied to stable-base sheets. These stable-base enlargements
were used as the source material for the soil map compilation. The
soil polygon data on the 1;12000 scale photocopied stable-base
enlargements were manually compiled to 1:12000 scale, 3.75 minute
topographic quadrangle base. The compilation was performed by
securing the stable-base enlargements of the soil maps to a light
table. A scan overlay made of stable-base material was registered
to the topographic base map. The topographic base and scan overlay
were then positioned on top of the soil map and were adjusted until
the base map features were aligned with the same features on the
soil map. The soil delineations, soil symbols, and special soil
features were compiled on the scan overlay in North American Datum
of 1927 using black colored pencil. The soils and special soil
features of Akron quarter quadrangles were compiled onto a stable-
base overlay with the 3.75 minute orthophotographic quadrangle used
as a reference. The Akron quarter quadrangles were compiled in
North American Datum of 1983. The 3.75 minute orthophotographic
quadrangles were used to compile the water bodies and double line
streams for all of Genesee County. The 3.75 minute
orthophotographic quadrangles was also used to adjust soil lines
adjacent to water bodies and double line streams. Soil lines
adjustment to hydrology was not performed at this time but will in
the soil survey update for Genesee County. Land use changes were
also adjusted using the orthophotography as a base for gravel and
quarry pits, and for areas of urban development. Errors from the
published soil survey were corrected and map unit boundaries were
refined as needed to the topographic image and/or the
orthophotographic image. Quality control was performed in Maine by
NRCS soil scientists and cartographic technicians. Final editing
and additional quality control was completed by a NRCS soil
scientist in New York.
Source_Used_Citation_Abbreviation: NRCS1, USGS2, NRCS2
Process_Date: 1998
Process_Step:
Process_Description:
The soil delineation overlays were raster
scanned by Midwest Graphics, Kenosha, Wisconsin at 250 dpi on an
Intergraph Anatech scanner in rlc format. Four control points
corresponding to the four corners on the 3.75 minute quadrangles
were used for registration during data collection. The processing,
raster editing, map neatline development, labeling, edge matching,
vector conversion and editing were done in LT4X Version 4.13 at
U.S. Department of Agriculture, Natural Resources Conservation
Service, Wisconsin Digitizing Unit, Madison, Wisconsin. The
county boundaries were manually digitized from the USGS 7.5 minute
topographic quadrangles and refined to the 3.75 minute
orthophotographic quadrangles in LT4X Version 4.13 on a Sun UNIX
Workstation and exported and snapped together using GRASS Version
4.13 and then imported back into LT4X. The special soil features
were manually digitized from the 3.75 minute soil delineation
overlays in LT4X Version 4.13 at a resolution of at least 0.01
inch. The Akron quarter quadrangles were converted from North
American Datum of 1983 to North American Datum of 1927 in LT4X
Version 4.13. Check plots of the soils and special soil features
data were reviewed by a soil scientist and cartographic staff at
the Wisconsin Digitizing Unit. Quality assurance was performed at
the NRCS MLRA office in Amherst, Massachusetts. The soils and
special soil features data were run through a series of LT4X macros
for correctness and completeness. These macros smoothed out and
thinned out linework, added nodes for every 3000 vertices, added
corner nodes and snapped nodes across the neatlines. The special
soil features data were run through an additional LT4X macro. The
digital soils and special soil features data were then exported as
Digital Line Graph-3 Optional format files in LT4X. The DLG-3
Optional format files were evaluated with the October 1998 ARC/INFO
SSURGO Evaluation AMLs provided by U.S. Department of Agriculture,
Natural Resources Conservation Service, National Cartography and
Geospatial Center, Fort Worth, Texas. Upon successful of the
SSURGO Evaluation, the DLGs were rewritten from the ARC/INFO
Version 7.11. The ARC/INFO version DLGs were rechecked with the
October 1998 ARC/INFO SSURGO Evaluation AMLs provided by National
Cartography and Geospatial Center. The North American Datum of
1927 soils and special soil features quarter quadrangles were
merged into full county coverages for UTM Zone 17 and Zone 18.
Each zone was then clipped to full quadrangles in North American
Datum of 1927 and new DLGs were created. These procedures were run
in ARC/INFO Version 7.1.1 on a Sun UNIX platform. The full
quadrangle DLGs were rewritten from ARC/INFO Version 7.1.1 and run
again through the October 1998 SSURGO Evaluation AMLs. Upon
successful completion the full quadrangle DLGs were processed with
the October 1998 archiving AMLs provided by National Cartography
and Geospatial Center.
Source_Used_Citation_Abbreviation: USGS1, NRCS2, NRCS3
Process_Date: 2000
Process_Step:
Process_Description:
The Map Unit Record data base was developed by
Natural Resources Conservation Service soil scientists according to
national standards, using the National Soil Information System
(NASIS). A prescribed number of standard validations and reports
were run against the data. and any errors corrected prior to
creating MUIR attribute data. Quality assurance was provided by
the MLRA Office Amherst, Massachusetts.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 2000
Process_Step:
Process_Description: The original soil survey of Genesee County was updated with the
majority of the field work completed between 1998 and 2002.
Field work and database edits were performed by the USDA-NRCS
MLRA Project Leader for western New York. Final field review for
the update work was held on 1/16/2004, with final correlation
being held in 3/2004. The purpose of the update work was to
bring the field mapping, soil classification and soil correlation
up to modern standards to better meet modern soil information needs.
This work consisted largely of:
separating dual-drainage map units;
extending pedon descriptions to a depth of 72 inches or to bedrock;
correlating modern soil series in place of phases that were
mapped in the original survey;
and incorporating updated mapping of some farmed muck areas
where the organic materials have become much shallower over
mineral soil than when the original soil survey was completed.
These changes were then compiled onto plots of the original
SSURGO data, and digitized by the Pennsylvania USDA-NRCS Map
Compilation and Digitizing Center. Additionally, the
Digitizing Center adjusted water bodies, expanded quarries and
gravel pits, and adjusted some soil lines to better fit the
DOQQ photo image.
A quality assurance edit of the updated electronic spatial data
was performed at the MO-12 office in Amherst, MA. Final hard
copy edits were completed at the MLRA Project Office in
Belmont, NY and were digitized by the Pennsylvania USDA-NRCS
Map Compilation and Digitizing Center. The completed digital
product was submitted to the Wisconsin Digitizing Center in
August 2004 for SSURGO review.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 2004
Process_Step:
Process_Description:
The SSURGO database of Madison County, New York
was downloaded from U.S. Department of Agriculture, Natural Resources
Conservation Service, National Cartography and Geospatial Center (NCGC)
distribution site for the purpose of updating the survey area boundary
The data were then run through the 20040524 ReCert AMLs provided by NCGC
and submitted to the Soil Data Warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS4
Process_Date: 2004
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: 20041124
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: 20041124
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20051212
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20051214
Process_Step:
Process_Description:
The 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: 20060708
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: 20060708
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: 20090406
Process_Step:
Process_Description:
Soil scientists edited farmland class data for selected organic soils.
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: 20090406
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:
NY Soils staff reviewed water polygons and adjacent soil polygons in the
existing SSURGO spatial data against the 1969 hardcopy soil survey atlas
sheets and the 2009 NAIP imagery. The digital mapping was revised where
water polygons were determined to be ponded soil, so that the spatial
data corresponds more closely with the original hard copy atlas sheets.
Some edits to other polygons were made based on the imagery and atlas
sheets.
Source_Used_Citation_Abbreviation: SCS1, FSA1, NRCS5
Process_Date: 2010
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: 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: 20110321
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: 20111201
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: 20111201
Process_Step:
Process_Description:
The spatial data for Genesee 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: 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