Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: 1972
Title: Soil Survey of Seneca 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: 1966
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS1
Source_Contribution:
information for soil map unit delineations
special feature locations, and data on soil properties
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1942-1971
Title: multiple 7.5 minute topographic quadrangle map positives
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Reston, Virginia
Publisher: U.S. Geological Survey
Source_Scale_Denominator: 24000
Type_of_Source_Media: stable base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1994
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: USGS1
Source_Contribution: compilation source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Soil Information Systems Laboratory, Cornell
University
Publication_Date: unpublished material
Title: multiple ratioed film positives of published maps
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 24000
Type_of_Source_Media: stable base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1963
Source_Currentness_Reference: date aerial photography flown
Source_Citation_Abbreviation: SISL1
Source_Contribution: compilation source
Source_Information:
Source_Citation:
Citation_Information:
Originator: Soil Information Systems Laboratory
Publication_Date: unpublished material
Title:
multiple soil maps, including soil features, compiled
on 7.5 minute topographic quadrangles
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 24000
Type_of_Source_Media: stable base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1966
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SISL2
Source_Contribution: planimetrically correct base map
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Soil Information Systems Laboratory, Cornell
University
Publication_Date: unpublished material
Title: annotated overlay
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 24000
Type_of_Source_Media: stable base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1966
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SISL3
Source_Contribution: scanning source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural
Resources Conservation Service
Publication_Date: 19980524
Title:
Soil Survey Geographic (SSURGO) database for Seneca County,
New York
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 19980524
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS1
Source_Contribution: re-archiving 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: 2005
Title:
Soil Survey Geographic (SSURGO) database for Seneca 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: 2005
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS2
Source_Contribution: re-archiving source
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 Seneca
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: NRCS3
Source_Contribution: re-archiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2006
Title:
Soil Survey Geographic (SSURGO) database for
Seneca County, New York
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher:
U.S. Department of Agriculture, Natural
Resources Conservation Service, National Cartography
and Geospatial Center
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2006
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS4
Source_Contribution: re-archiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S Department of Agriculture, Farm Service Agency
Publication_Date: 2008
Title: NAIP imagery for Seneca 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: 2008
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 Seneca County, New York
Geospatial_Data_Presentation_Form: vector digital data
Source_Scale_Denominator: 24000
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2009
Source_Currentness_Reference: date of soil survey update
Source_Citation_Abbreviation: NRCS5
Source_Contribution: source for digital revision
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 (NY099) Seneca County, New York:
NY011 Cayuga County, New York
NY069 Ontario County, New York
NY097 Schuyler County, New York
NY109 Tompkins 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: NRCS6
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: 20100204
Title:
Soil Survey Geographic (SSURGO) database
for Seneca 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: 20100204
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS7
Source_Contribution:
certified SSURGO product used as source
for digital revision
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
Seneca County, New York
Geospatial_Data_Presentation_Form: vector digital data
Source_Scale_Denominator: 24000
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: NRCS8
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: NRCS9
Source_Contribution: Source of digital revision
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: unpublished material
Title: region 12 soils geodatabase
Geospatial_Data_Presentation_Form: file geodatabase
Type_of_Source_Media: vector digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2015
Source_Currentness_Reference: SSURGO publication date
Source_Citation_Abbreviation: NRCS10
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
The Soil Survey of Seneca County, New York was published in 1972.
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.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 1974
Process_Step:
Process_Description:
The 1:24,000 7.5 minute topographic quadrangle scribe
coats representing the various feature separates were photographically
reproduced as differentially screened composites on 7 mil matte
finished mylar overlays by USGS, Rolla, MO., (USGS1) from second
generation negatives. USGS indicates quadrangles published in the
1940's and 1950's are less reliable from a geodetic standpoint than
quadrangles published later.
The publication information of the relevant quadrangles follows:
Cayuga quadrangle, 1954
Dundee quadrangle, 1942, photoinspected, 1976
Geneva North quadrangle 1953, photorevised, 1978
Geneva South quadrangle, 1953, photorevised, 1978
Lodi quadrangle, 1942, photorevised, 1978
Ludlowville quadrangle, 1971
Lyons quadrangle, 1953, photorevised, 1978
Montezuma quadrangle, 1954, photorevised, 1978
Ovid quadrangle, 1970
Cayuga quadrangle, 1954
Romulus quadrangle, 1953
Savannah quadrangle, 1953 photorevised, 1978
Seneca Falls quadrangle, 1953, photorevised, 1978
Sheldrake quadrangle, 1971
Trumansburg quadrangle, 1970
Union Springs quadrangle, 1955
Source_Used_Citation_Abbreviation: USGS1
Process_Date: 1994
Process_Step:
Process_Description:
Published maps from the Soil Survey of Seneca County,New York were
ratioed to 1:24000 scale using an office copying machine by SISL.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 1995
Process_Step:
Process_Description:
The soil polygon data on the 1:24000 ratioed film
positives were manually compiled to the 1:24000 7.5 minute topographic
quadrangle film positives that were produced by USGS as described above.
The intent of the compilation process was to place the soil boundaries
on the appropriate landforms as inferred by the topographic data.
Sometimes the landforms as inferred or denoted by the planimetrically
correct topographic data differed slightly from the same landform as
inferred or denoted by the distorted photographic data. As a
natural consequence of these differences, the compiled polygons often
differed slightly in shape from the same polygon in the published soil
survey. Another slight discrepancy resulting from compilation were
some small water bodies that were added to the digital data if they
were displayed on the USGS photo revised quadrangles. Also, polygons
without symbols and polygons with common boundaries, that were published
in the soil survey were corrected during the digitizing process. Also
symbols were added to the mapping unit legend and consequently to the
tabular data base. For example, quarries were mapped as polygons in
the published report, but instead of a map unit legend symbol, the
polygons were identified by either spelling out the word "quarry" or by
using the special feature symbol. QP was added to the attribute legend
and the tabular database for quarries. Likewise, BP was added for
borrow pits, DP was added for dumps, and SP was added for shale pits.
Since in a digital soils data base, water is considered a map entity, W,
for water was added to the data bases. XXX was added to the data
bases to represent those polygons that were unattributed in the
published soil survey and could not be remedied through expert
assistance in the digitizing facility.
Source_Used_Citation_Abbreviation: SISL1, USGS2
Process_Date: 1994
Process_Step:
Process_Description:
The soil polygons from the 1:24,000 7.5 minute topographic quadrangle
film positives were transferred to a stable base material punch
registered to the 1:24,000 7.5 minute topographic quadrangles.
Source_Used_Citation_Abbreviation: SISL2
Process_Date: 1995
Process_Step:
Process_Description:
The soil polygon overlay were scanned by Midwest
Graphics Services, Milwaukee, WI at 200 dpi. using a Houston Instruments
LDS 4000 scanner. The raster data were imported into LTPlus Version
2.361A at SISL for processing, raster editing, map neat line
development, labeling, edge matching and vector conversion. The data
were imported into LT4X Version 4.02 for additional neatline development
and vector editing. Penultimately, the data were imported into
NRCS GRASS Version 4.13. The data were written to a Digital Line Graph
optional format with the v. export command. The data are in the
NAD 1927. Special soil features were digitized by NCGC. Compilation,
digitizing and quality control were performed at the Soil Information
Systems Laboratory Cornell University, Ithaca, New York, which is an
entity of the National Cooperative Soil Survey, staffed by USDA-NRCS
and Cornell University Soil Scientists and Digitizing technicians.
The digital maps of soil lines were also reviewed by the Natural
Resources Conservation Service National Cartography and Geospatial
Center staff for adherence to SSURGO standards in May, 1996.
Source_Used_Citation_Abbreviation: SISL3
Process_Date: 1996
Process_Step:
Process_Description:
The Map Unit Interpretations Record data base
was developed by Natural Resources Conservation Service Soil Scientists
according to national standards.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 1994
Process_Step:
Process_Description:
The online SSURGO data were imported into
ARC/INFO Version 8.3 at the Natural Resources Conservation
Service, Wisconsin Digitizing Unit. The SSURGO data were
processed with May 2004 Re-archiving AMLs provided by
the National Cartography and Geospatial Center, Fort
Worth, Texas (NCGC) for compliance with the new format required
for distribution purposes. The SSURGO data were submitted to
the Soil Data Warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS1
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: 20041216
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: 20041220
Process_Step:
Process_Description:
The SSURGO database of Seneca 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 to be consistent with the Ontario
County, New York SSURGO dataset. 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: NRCS2
Process_Date: 2005
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 online SSURGO data set was downloaded by the
Wisconsin Digitizing Unit in Madison, Wisconsin. The Seneca Survey
area boundary was adjusted to be an exact match to the survey area
boundaries of the SSURGO certified surveys of Cayuga County, Schuyler
County, and Tompkins County, New York. The data was processed through
the 20040524 certification AMLs provided by the National Cartographic
and Geospatial Center in Ft. Worth, TX. The data was then uploaded to
the datamart.
Source_Used_Citation_Abbreviation: NRCS3
Process_Date: 20060915
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: 20060915
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: 20061211
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 soils staff in New York downloaded the SSURGO data for Seneca
County from the Soil Data Warehouse. Water polygons and adjacent soil
polygons in the existing SSURGO spatial data were reviewed against the
1972 hardcopy soil survey atlas sheets and the 2008 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. The revised
geodatabase was sent to the Michigan Digitizing Unit (MIDU) in East
Lansing, Michigan for review and certification.
Source_Used_Citation_Abbreviation: SCS1, FSA1, NRCS4, NRCS5
Process_Date: 2009
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: NRCS5, NRCS6
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: 20100204
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: 20111208
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: 20111208
Process_Step:
Process_Description:
The staff at the Major Land Resource Area (MLRA) Soil Survey Office in
Belmont, New York downloaded the Soil SURvey GeOgraphic (SSURGO)
dataset for Seneca County, New York from the Soil Data Mart (SDM).
Mapping along the join with Ontario County, New York has been adjusted
according to field work conducted by the NRCS soil scientists. 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: NRCS7, NRCS8
Process_Date: 2012
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: NRCS8, NASIS
Process_Date: 2012
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: 20120925
Process_Step:
Process_Description:
The spatial data for Seneca 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: NRCS9
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: 20140916
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: 20140916
Process_Step:
Process_Description:
The current SSURGO spatial data for Seneca County, New York
was edited within the Soil Survey Region 12 geodatabase. As part of
the SDJR MLRA 101 Lansing gravelly silt loam, 8 to 15 percent slopes
project. The map unit LsC3 was changed to LsC. The data was
incorporated into the Region 12 Transactional Geodatabase and evaluated for
completeness. The data were then exported as a shapefile and uploaded to Web
Soil Survey for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS10
Process_Date: 20150911
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 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