Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S Department of Agriculture, Soil Conservation Service
Publication_Date: 1958
Title: Soil Survey of Ontario and Yates Counties, New York
Geospatial_Data_Presentation_Form: atlas
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: U.S. Government Printing Office
Source_Scale_Denominator: 20000
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1948
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS1
Source_Contribution: soil attributes and special feature locations
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: publication annotation overlays
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 20000
Type_of_Source_Media: film
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1948
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS1
Source_Contribution:
final publication negatives used to
develop film positives
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: ratio 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: 1948
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS2
Source_Contribution:
source material for special soil features,
soil polygons, and soil attributes
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2004
Title: multiple 3.75 minute orthophotographic quadrangles
Geospatial_Data_Presentation_Form: remote sensing image
Source_Scale_Denominator: 12000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2001
Ending_Date: 2001
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS3
Source_Contribution:
base material for compilation and a reference
for compilation of cultural features
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2004
Title:
Digital Raster Graphic County Mosaic of
Ontario County, New York
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: 1949
Ending_Date: 1978
Source_Currentness_Reference: source material publication date
Source_Citation_Abbreviation: NRCS4
Source_Contribution: source for county boundaries
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 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: 2001
Ending_Date: 2001
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS5
Source_Contribution: scanning and digitizing source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture
Publication_Date: 2005
Title:
National Soil Information System (NASIS) database for
Ontario 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: 2005
Source_Currentness_Reference: export certification date
Source_Citation_Abbreviation: NRCS6
Source_Contribution: tabular data linked to spatial data
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2005
Title: National Soil Information System (NASIS) data base
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Type_of_Source_Media: database
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2005
Ending_Date: 2005
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NASIS
Source_Contribution: attribute (tabular) information
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural
Resources Conservation Service
Publication_Date: 2005
Title:
Soil Survey Geographic (SSURGO) database for Ontario
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: 2005
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS7
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
Ontario 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: 2007
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS8
Source_Contribution: re-archiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2005-2008
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 SSURGO certified soil surveys are adjacent to
the Soil Survey of (NY069) Ontario County, New York:
NY051 Livingston County, New York
NY055 Monroe County, New York
NY099 Seneca County, New York
NY101 Steuben County, New York
NY117 Wayne County, New York
NY123 Yates 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: 2005
Ending_Date: 2008
Source_Currentness_Reference: dates of publication
Source_Citation_Abbreviation: NRCS9
Source_Contribution: used to check joins to the adjacent soil surveys
Source_Information:
Source_Citation:
Citation_Information:
Originator: Ontario County Planning Department
Publication_Date: Unpublished material
Title:
Light Detection and Ranging (LiDAR) for Ontario County,
New York
Geospatial_Data_Presentation_Form: GRID format
Publication_Information:
Publication_Place: N/A
Publisher: N/A
Type_of_Source_Media: 5M digital raster grid
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20080214
Source_Currentness_Reference:
date of delivery of processed data
to NRCS
Source_Citation_Abbreviation: LiDAR1
Source_Contribution: Digital elevation data
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural
Resources Conservation Service
Publication_Date: Unpublished material
Title:
Hillshade maps, slope maps, and contour maps for
Ontario County, New York
Geospatial_Data_Presentation_Form: file geodatabase
Publication_Information:
Publication_Place: N/A
Publisher: N/A
Type_of_Source_Media: 5M digital raster grid
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20080229
Source_Currentness_Reference:
date of delivery of LiDAR
derivitives to survey party for use
in digital editing
Source_Citation_Abbreviation: LiDAR2
Source_Contribution:
hillshades, slope maps, contours to aid in
digital editing of soil lines
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural
Resources Conservation Service
Publication_Date: 2012
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
Type_of_Source_Media: tabular database
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2012
Source_Currentness_Reference:
completion of tabular data edits
and publication date
Source_Citation_Abbreviation: NASIS
Source_Contribution: updated soil attribute (tabular) information
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title:
ARCGIS geodatabase for the Soil Survey of
Ontario County, New York
Geospatial_Data_Presentation_Form: vector digital data
Source_Scale_Denominator: 12000
Type_of_Source_Media: geographic database
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2012
Source_Currentness_Reference: date of digitizing completion
Source_Citation_Abbreviation: NRCS10
Source_Contribution: source for digital review
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: NRCS11
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
Ontario County had a previously published soil survey
in 1958, at 1:20000 scale. An evaluation was made of the soil survey in
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:
Ratio film positives, at 1:12000 scale, were made
from the publication annotation overlays. Soil map unit delineations,
soil symbols and special soil features were manually compiled from the
film positives to stable-base material registered to 3.75 minute
orthophotographic quadrangles. Errors from the published soil survey
were corrected and map unit boundaries were refined, as needed, to the
orthophotographic quadrangles.
Source_Used_Citation_Abbreviation: NRCS1, NRCS2, NRCS3
Process_Date: 2004
Process_Step:
Process_Description:
The National Soil Information System data base was
developed by Natural Resources Conservation Service soil scientists
according to national standards.
Source_Used_Citation_Abbreviation: SCS1, NRCS6
Process_Date: 2005
Process_Step:
Process_Description:
The compiled soil and feature overlays were mailed
to the Wisconsin Digitizing Unit in Madison, Wisconsin. The 3.75 minute
soil map unit delineation and label overlays were raster scanned by
Midwest Graphics, Kenosha, Wisconsin at 250 dpi on an Intergraph Anatech
scanner in tiff uncompressed format The data were sent to the Wisconsin
Digitizing Unit in Madison, Wisconsin. Four control points used,
corresponded to the four corners on the 3.75 minute quadrangles were,
used for registration during data collection. The tiff files were
imported into ArcGIS 8.3 ArcMap. The tiff files were georeferenced in
ArcMap. Using the raster cleanup tools, the tiff files were cleaned,
edge-matched and vectorized to a polygon feature class. Using the label
overlay tiff files as a back drop, the soil polygons were attributed and
line and point features classes were digitized and labeled. Using
topology rules, errors were identified and corrected. The data were
then exported to polygon, line, and point coverages using ArcCatalog.
Next, the data were then projected to Geographic coordinates in decimal
degrees and run through the 20040524 ReCert AMLs provided by NCGC and
uploaded to the Soil Data Warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS5
Process_Date: 2005
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil
Scientist or delegate, upon completion of data quality verification,
determined that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20050506
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: 20050506
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: 20060710
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: 20060711
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 online SSURGO data set was downloaded by the
Wisconsin Digitizing Unit in Madison, Wisconsin. The Ontario Survey
area boundary was adjusted to be an exact match to the survey area
boundaries of soil surveys of Wayne County, Livingston County, Stuben
County, and Yates County, New York. The data was processed through the
20040524 certification AML's provided by the National Cartographic and
Geospatial Center in Ft. Worth, TX. The data was they uploaded to the
datamart for distribution.
Source_Used_Citation_Abbreviation: NRCS7
Process_Date: 20070808
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: 20070808
Process_Step:
Process_Description:
The Michigan Digitizing Unit (MIDU) staff downloaded the SSURGO data
for Ontario County and the adjacent soil surveys from the Soil Data
Warehouse (SDW). 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: NRCS8, NRCS9
Process_Date: 20100216
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: 20100218
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:
Ontario County had a previously published soil survey in 1958,
at 1:20000 scale. An evaluation was made of the soil survey and
it was determined to be out of date and requiring extensive
revisions to map unit concepts and other information. The soil
map unit delineations and some map unit components were
sufficiently accurate for some uses. However, some map unit
components need to be updated, slope classes needed to be
refined and brought into line with the modern standardized
slope classes that are being used in the northeast, and soil
interpretations and crop yields needed to be modernized.
Source_Used_Citation_Abbreviation: SCS1, NASIS
Process_Date: 20031211
Process_Step:
Process_Description:
A Memorandum of Understanding (MOU) is signed by NRCS,
Ontario County, Ontario County Soil and Water Conservation
District, and Cornell Cooperative Extension for the update
of the soil survey of Ontario County.
Source_Used_Citation_Abbreviation: NRCS6, LiDAR1, LiDAR2
Process_Date: 2006
Process_Step:
Process_Description:
NRCS and contract soil scientists collected large amounts of
field data from across Ontario and Yates Counties, NY. The
collected data was used by soil scientists to re-correlated soil
map units and slope classes consistent with modern standards, and
to edit the NASIS (tabular) database for Ontario County. Since
Ontario and Yates counties were originally surveyed and
correlated together using similar guidelines and correlation
decisions, it was determined that a better representation of map
unit composition would be gained by collecting data from across
both counties.
Source_Used_Citation_Abbreviation: SCS1, NRCS6, NASIS
Process_Date: 2006-2011
Process_Step:
Process_Description:
NRCS soil scientists edited the spatial database for
Ontario County using information collected in the field during
the update process, and LiDAR elevation data. Slope classes
were re-delineated to fit the modern standard slope classes
and map unit line placements were adjusted to better fit
landscape breaks.
Source_Used_Citation_Abbreviation: SCS1, NRCS6, LiDAR2
Process_Date: 2008-2012
Process_Step:
Process_Description:
The current SSURGO spatial data for all adjacent counties
(Monroe, Wayne, Seneca, Steuben and Livingston) was downloaded
and an acceptable join was achieved between these counties and
the revised spatial data for Ontario County. After the edits were
completed, the geodatabase for the soil survey was forwarded to
the certification team at the Michigan Digitizing Unit (MIDU)
in East Lansing, Michigan.
Source_Used_Citation_Abbreviation: NRCS9, NRCS10
Process_Date: 20120511
Process_Step:
Process_Description:
The MIDU staff checked the spatial data with the ARCGIS Version 10.0
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. The digital maps of the mapping units
and the special soil features were imported into the ARC/INFO
Version 10.0 software for review and certification. The MIDU staff
checked the data with a set of ARC Macro Language (AML) programs
developed by the USDA-NRCS National Cartographic and Geospatial Center
(NCGC). The seamless coverages were checked using the July 2009 SSURGO
Evaluation AML programs. The labels in the spatial data match the
symbols in the soils tables archived at the Soil Data Warehouse (SDW).
Upon successful completion of the SSURGO Evaluation, the area, line and
point coverages, the feature file and the metadata were electronically
transferred to the NRCS Staging Server to be joined with the tabular data.
Source_Used_Citation_Abbreviation: NRCS10, NASIS
Process_Date: 2012
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: 20120926
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: 20120926
Process_Step:
Process_Description:
The spatial data for Ontario 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: NRCS11
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 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: 20140915
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: 20140915
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: 20150924
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: 20150924
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: 20160924
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: 20160924