Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: 1956
Title: Soil Survey of Allegany County, New York
Geospatial_Data_Presentation_Form:
multiple soil maps on planimetric
base
Source_Scale_Denominator: 31680
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1946
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS1
Source_Contribution: previously published soil survey (out-of-date)
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Agricultural
Stabilization and Conservation Service
Publication_Date: 1985
Title: multiple aerial photographs
Geospatial_Data_Presentation_Form: remote sensing image
Publication_Information:
Publication_Place: Salt Lake City, Utah
Publisher:
U.S. Department of Agriculture, Agricultural
Stabilization and Conservation Service
Source_Scale_Denominator: 24000
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1985
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: ASCS1
Source_Contribution:
photographic base materials for field mapping and
source material for compilation of soil polygons, map unit symbols, and
special soil features
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: unpublished material
Title: multiple film positives of 7.5 minute analog orthophotoquads
Geospatial_Data_Presentation_Form: remote sensing image
Source_Scale_Denominator: 24000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1995 (NAPP)
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS1
Source_Contribution: base map for compilation
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1963-1979
Title: multiple 7.5 minute 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: digital raster graphic
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1963
Ending_Date: 1979
Source_Currentness_Reference: final publication date
Source_Citation_Abbreviation: USGS1
Source_Contribution: source for digital county boundaries
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: annotated soil delineation overlays
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 24000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2006
Source_Currentness_Reference: status of map units
Source_Citation_Abbreviation: NRCS2
Source_Contribution: scanning source.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2006
Title:
National Soil Information System (NASIS) database for Allegany
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: on-line
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2006
Source_Currentness_Reference: export certification date
Source_Citation_Abbreviation: NRCS3
Source_Contribution: tabular data linked to spatial soil data
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 20041122
Title:
Soil Survey Geographic (SSURGO) database for the
Advanced Copy of the soils of Allegany 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: 20061204
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS4
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: 2007
Title: National Soil Information System (NASIS) data base
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Type_of_Source_Media: database
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2007
Ending_Date: 2007
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NASIS
Source_Contribution: attribute (tabular) information
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 20061204
Title:
Soil Survey Geographic (SSURGO) database for the
Advanced Copy of the soils of Allegany 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: 20061204
Source_Currentness_Reference: date of submission to the data mart
Source_Citation_Abbreviation: NRCS5
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 20061204
Title:
Soil Survey Geographic (SSURGO) database for the
Advanced Copy of the soils of Allegany 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: 20080104
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS6
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 20061204
Title:
Soil Survey Geographic (SSURGO) database for the
Advanced Copy of the soils of Allegany 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: 20090120
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS7
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 20061204
Title:
Soil Survey Geographic (SSURGO) database for the
Advanced Copy of the soils of Allegany 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: 20110106
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS8
Source_Contribution: source for re-certification
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Farm Service Agency- APFO
Publication_Date: 2011
Title: NAIP- multiple aerial photographs
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: digital
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2011
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: FSA1
Source_Contribution:
photographic base materials for field mapping and
source material for digitizing of soil polygons, map unit symbols, and
special soil features.
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 20061204
Title:
Soil Survey Geographic (SSURGO) database for the
Advanced Copy of the soils of Allegany 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: 20120629
Source_Currentness_Reference: date of submission to the Soil Data Mart
Source_Citation_Abbreviation: NRCS9
Source_Contribution: source for re-certification
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: NRCS10
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
The Soil Survey of Allegany County, New York began in
the year 1993. The survey area is being mapped at a scale of 1:24000.
Procedures for mapping consist of intensive field investigation in
conjunction with remote sensing of imagery. Boundaries of delineations
are verified by traversing the landscape at closely spaced intervals.
Map unit composition is confirmed by transecting representative areas.
Field mapping is ongoing; approximately 55% of the survey area is
included in this advance copy data set.
Source_Used_Citation_Abbreviation: ASCS1
Process_Date: 1993-2006
Process_Step:
Process_Description:
Compilation base materials were prepared by the U.S.
Department of Agriculture, Natural Resources Conservation Service,
National Cartography and Geospatial Center, Fort Worth, Texas, using a
photographic process to develop stable-base orthophoto quad positives
from digital orthophotographs. These were prepared at 1:24000 scale.
Source_Used_Citation_Abbreviation: NRCS1
Process_Date: 1995
Process_Step:
Process_Description:
Field mapping delineations, symbols, and special
features were compiled onto stable-base material overlays, to a digital
orthophoto base, by NRCS soil scientists in the Belmont, NY Soil Survey
Office.
Source_Used_Citation_Abbreviation: ASCS1, NRCS1, NRCS2
Process_Date: 1996-2006
Process_Step:
Process_Description:
Field maps were manually compiled to
1:24000 scale, using 7.5 minute orthophoto quadrangles. The soil
delineation overlays were created by compiling the soil lines
to a stable-base material pin registered to the orthophoto
quadrangle. The soil delineation overlays were raster scanned by
Midwest Graphics, Milwaukee, Wisconsin, on an Intergraph Anatech scanner
at 250 dpi in rlc format. The county borders digitized on screen
7.5 minute USGS DRG in ESRI ArcMap 8.3 and a DOQ mosaic. The raster
editing, labeling, edge matching, and vector conversion for the soils
and special soil features were done in LT4X Version 4.02 for the
following quadrangles by the Wisconsin Digitizing Unit, USDA, Natural
Resources Conservation Service, Madison, Wisconsin (WIDU):
Bliss, Pike, Portageville, Freedom, Houghton, Fillmore, Rawson, Black
Creek, Angelica, Cuba, Portville, Bullis Mills, Wellsville South,
Whitesville, Rexville, Ellisburg, and Ulysses.
Compilation, digitizing, and quality control were by USDA-NRCS, Belmont
Service Center, Belmont, NY Soil Survey Project Leader and the WIDU.
The soils data were written to a Digital Line Graph Optional Format
using LT4X. The DLG Optional files were evaluated with the February
1998 ARC/INFO AMLs provided by USDA-NRCS, National Cartography
and Geospatial Center, Fort Worth, Texas (NCGC). Upon successful
completion of the SSURGO evaluation the data were merged from quadrangle
format into a single area patch.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2
Process_Date: 2002-2004
Process_Step:
Process_Description:
Field maps were manually compiled to
1:24000 scale, using 7.5 minute orthophoto quadrangles. The soil
delineation overlays were created by compiling the soil lines
to a stable-base material pin registered to the orthophoto
quadrangle. The soil delineation overlays were raster scanned by
Midwest Graphics, Milwaukee, Wisconsin, on an Intergraph Anatech scanner
at 250 dpi in rlc format. The county borders digitized on screen
7.5 minute USGS DRG in ESRI ArcMap 8.3 and a DOQ mosaic. The raster
to vector conversion was done using ArcScan. The vector editing,
labeling, and edge matching for the soils and special soil features were
done in ArcGIS Version 8.3 for the following quadrangles by the
Wisconsin Digitizing Unit, USDA, Natural Resources Conservation Service,
Madison, Wisconsin (WIDU): Ossian, Canaseraga, and Arkport
Compilation, and digitizing quality control were by USDA-NRCS, Belmont
Service Center, Belmont, NY Soil Survey Project Leader and the WIDU. A
pen plot review of what is currently digitized was performed by the
WIDU. The data were then joined with the previously developed
quadrangles into a single area patch and submitted to the New York state
office for use. The data were evaluated with the U.S. Department of
Agriculture, Natural Resources Conservation Service, National
Cartography and Geospatial Center, archiving AMLs. Upon completion of
the archiving AMLs the data was sent to New York. This data is not
intended for distribution to the general public.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2
Process_Date: 2005
Process_Step:
Process_Description:
For the quadrangles of Nunda and Bridsall, field maps
were manually compiled to 1:24000 scale, using 7.5 minute orthophoto
quadrangles. The soil delineation overlays were created by compiling
the soil lines to a stable-base material pin registered to the
orthophoto quadrangle. The 7.5 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 that, corresponded to
the four corners on the 7.5 minute quadrangles were, used for
registration during data collection. The tiff files were imported into
ArcGIS 9.1 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. Compilation and
digitizing quality control were done by USDA-NRCS, Belmont Service
Center, Belmont, NY Soil Survey Project Leader and the WIDU. A pen plot
review of what is currently digitized was performed by the WIDU. The
data were then joined with the previously developed quadrangles into a
single area patch. Using topology rules, errors were identified and
corrected. The data were then exported to polygon, line, and point
coverages using Arc Catalog. 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: NRCS1, USGS1, NRCS2
Process_Date: 2006
Process_Step:
Process_Description:
NRCS soil scientists developed the tabular soil data
in the NASIS (National Soil Information System) database.
Source_Used_Citation_Abbreviation: NRCS3
Process_Date: 2006
Process_Step:
Process_Description:
This data set is advance soil survey information and
is subject to change. Attribute data and correlation of map units may
be revised during the course of the soil survey.
Source_Used_Citation_Abbreviation: NRCS1, NRCS2, NRCS3
Process_Date: 2006
Process_Step:
Process_Description:
For the quadrangles of Belmont and Wellsville North,
field maps were manually compiled to 1:24000 scale, using 7.5 minute
orthophoto quadrangles. The soil delineation overlays were created by
compiling the soil lines to a stable-base material pin registered to the
orthophoto quadrangle. The 7.5 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 that, corresponded to
the four corners on the 7.5 minute quadrangles were, used for
registration during data collection. The tiff files were imported into
ArcGIS 9.1 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. Compilation and
digitizing quality control were done by USDA-NRCS, Belmont Service
Center, Belmont, NY Soil Survey Project Leader and the WIDU. A pen plot
review of what is currently digitized was performed by the WIDU. The
data were then joined with the previously developed quadrangles into a
single area patch. Using topology rules, errors were identified and
corrected. The data were then exported to polygon, line, and point
coverages using Arc Catalog. 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: NRCS4
Process_Date: 2007
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil
Scientist or delegate, upon completion of data quality verification,
determined that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20070201
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: 20070202
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: 20070412
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: 20070412
Process_Step:
Process_Description:
Soil delineations in Potter Co., Pennsylvania were
snapped to the end nodes of Allegany Co. and the both state lines were
adjusted to be straight and match perfectly. Minor corrections to soil
delineations within Allegany were made in conference between the Soil
Survey Project Leaders for the survey areas using slope maps generated
from 10 meter digital elevation models and the most recent
orthophotographic imagery. Corrections and adjustments to both counties
were completed at the Pennsylvania Map Compilation and Digitizing Center
in University Park, PA. The data were then 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: 20070427
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: 20070430
Process_Step:
Process_Description:
Field maps were manually compiled to 1:24000 scale,
using 7.5 minute orthophoto quadrangles. The soil delineation overlays
were created by compiling the soil lines to a stable-base material pin,
registered to the orthophoto quadrangle. The soil delineation overlays
were raster scanned by the Wisconsin Digitizing Unit, Madison, Wisconsin
on a Graphtec, CS500 Pro Scanner at 250 dpi in tif format. The vector
editing, labeling, and edge matching for the soils and special soil
features were done in ArcGIS Version 9.2 for the following quadrangles
by the Wisconsin Digitizing Unit, USDA, Natural Resources Conservation
Service, Madison, Wisconsin (WIDU): Andover, Greenwood, and Hornell
Compilation and digitizing quality control were by USDA-NRCS, Belmont
Service Center, Belmont, NY Soil Survey Project Leader and the WIDU. A
pen plot review of what is currently digitized was performed by the
WIDU. The new data were then joined with the existing SSURGO dataset
into a single area patch. The data was processed through the 20040524
certification AMLs provided by the National Cartographic and Geospatial
Center in Ft. Worth, TX. Upon successful completion through the AMLs,
the data was uploaded to the Data Mart.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2, NRCS6
Process_Date: 2007
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil
Scientist or delegate verified that the labels on the digitized soil map
units link to map units in the tabular database, and certified the
joined data sets for release to the Soil Data Warehouse. A system
assigned version number and date stamp were added and the data were
copied to the data warehouse. The tabular data for the map units and
components were extracted from the data warehouse and reformatted into
the soil data delivery data model, then stored in the Soil Data Mart.
The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20080208
Process_Step:
Process_Description:
Field maps were manually compiled to 1:24000 scale,
using 7.5 minute orthophoto quadrangles. The soil delineation overlays
were created by compiling the soil lines to a stable-base material pin,
registered to the orthophoto quadrangle. The soil delineation overlays
were raster scanned by the Wisconsin Digitizing Unit, Madison, Wisconsin
on a Graphtec, CS500 Pro Scanner at 250 dpi in tif format. The vector
editing, labeling, and edge matching for the soils and special soil
features were done in ArcGIS Version 9.2 for the following quadrangle
by the Wisconsin Digitizing Unit, USDA, Natural Resources Conservation
Service, Madison, Wisconsin (WIDU): Alfred Compilation and digitizing
quality control were by USDA-NRCS, Belmont Service Center, Belmont, NY
Soil Survey Project Leader and the WIDU. The new data were then joined
with the existing SSURGO dataset into a single area patch. In the
previous version it was determined that the 100D (Udorthents, loamy
skeletal 0 to 25 percent slopes) unit was not adequate for the entire
survey area. This Map unit needed to be subdivided to separate out the
Udorthents formed from glacial outwash gravel soils and those formed
from upland glacial till. The upland glacial till areas now have a
symbol of 200D (Udorthents, loamy, 0 to 25 % slopes). These area
occur mostly in the upland areas along Interstate 86 where material was
borrowed for fill material, and on the campuses of Alfred University and
Alfred State College.
The 34A map unit was originally mapped as Getzville and was mapped as
very poorly and poorly drained. It was decided to change the map unit
name to Atherton and make it poorly drained. Any map units of 34A that
were very poorly drained were changed to map unit 39A (which used to be
called Halsey, but after gathering data, now is our map unit of very
poorly drained Atherton). The data was processed through the 20040524
certification AMLs provided by the National Cartographic and Geospatial
Center in Ft. Worth, TX. Upon successful completion through the AMLs,
the data was uploaded to the Data Mart.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2, NRCS7
Process_Date: 20080129
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: 20090129
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: 20090129
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: 20090130
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: 20090130
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100202
Process_Step:
Process_Description:
Soil scientists reviewed and edited data for hydric
rating and hydric criteria. Interpretations for storm water management
were added to the set of interpretations. The Natural Resources
Conservation Service State Soil Scientist or delegate verified that the
labels on the digitized soil map units link to map units in the tabular
database, and certified the joined data sets for release to the Soil
Data Warehouse. A system assigned version number and date stamp were
added and the data were copied to the data warehouse. The tabular data
for the map units and components were extracted from the data warehouse
and reformatted into the soil data delivery data model, then stored in
the Soil Data Mart. The spatial data were copied to the Soil Data Mart
without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100205
Process_Step:
Process_Description:
For the West Almond Quadrangle field maps were
manually compiled to 1:24000 scale, using 7.5 minute orthophoto
quadrangles. The soil delineation overlays were created by compiling
the soil lines to a stable-base material pin, registered to the
orthophoto quadrangle. The soil delineation overlays were raster
scanned by the Wisconsin Digitizing Unit, Madison, Wisconsin on a
Graphtec, CS500 Pro Scanner at 250 dpi in tif format. The vector
editing, labeling, and edge matching for the soils and special soil
features were done in ArcGIS Version 9.2 for the following quadrangle
by the Wisconsin Digitizing Unit, USDA, Natural Resources Conservation
Service, Madison, Wisconsin (WIDU). West Almond compilation and
digitizing quality control were by USDA-NRCS, Belmont Service Center,
Belmont, NY Soil Survey Project Leader and the WIDU. The new data were
then joined with the existing SSURGO dataset into a single area patch
The data was processed through the 20040524 certification AMLs provided
by the National Cartographic and Geospatial Center in Ft. Worth, TX.
Upon successful completion through the AMLs, the data was uploaded to
the Data Mart.
Source_Used_Citation_Abbreviation: NRCS1, USGS1, NRCS2, NRCS8
Process_Date: 20080129
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: 20110118
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: 20110124
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil
Scientist or delegate, upon completion of data quality verification,
determined that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20111207
Process_Step:
Process_Description:
Hydric ratings for minor soil components were
included in the data set. Hydrologic Soil Group data was updated to
current criteria. The Natural Resources Conservation Service State Soil
Scientist or delegate verified that the labels on the digitized soil map
units link to map units in the tabular database, and certified the
joined data sets for release to the Soil Data Warehouse. A system
assigned version number and date stamp were added and the data were
copied to the data warehouse. The tabular data for the map units and
components were extracted from the data warehouse and reformatted into
the soil data delivery data model, then stored in the Soil Data Mart.
The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20111207
Process_Step:
Process_Description:
The 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: 20120120
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: 20120120
Process_Step:
Process_Description:
For the field maps for the Friendship Quadrangle were
manually digitized (on-screen) at the Belmont Soil Survey Office, by
NRCS Soil Scientists. The vector digitizing, labeling, and edge matching
for the soils and special soil features were done in ArcGIS Version 9.2,
by building onto the existing SSURGO soil dataset which was downloaded
from Soil Data Mart. Friendship quadrangle digitizing quality control
was done by USDA-NRCS, Greenwich, NY Resource Soil Scientist. The data
was then sent to the Wisconsin Digitizing Unit in Madison, Wisconsin.
Source_Used_Citation_Abbreviation: NRCS9, USGS1, FSA1
Process_Date: 20120629
Process_Step:
Process_Description:
The data were sent to the Wisconsin Digitizing Unit
in Madison, Wisconsin. In ARC/INFO, the Allegany County data were
checked with the SSURGO Evaluation AMLs provided by U.S. Department of
Agriculture, Natural Resources Conservation Service, National
Cartography and Geospatial Center for accuracy and completeness. Once
the data was successfully evaluated by the AMLs, it was submitted to the
Soil Data Mart for archival and distribution
Source_Used_Citation_Abbreviation: NRCS9
Process_Date: 201207011
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: 20120712
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: 20120919
Process_Step:
Process_Description:
Updated hydrologic soil group for Ceres components. 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: 20120921
Process_Step:
Process_Description:
The field maps for the Allentown and Bolivar Quadrangles were manually
digitized (on-screen) at the Belmont Soil Survey Office, by NRCS Soil
Scientists. The vector digitizing, labeling, and edge matching for the soils
and special soil features were done in ArcGIS Version 9.2, by building onto
the existing SSURGO soil dataset which was downloaded from Soil Data Mart.
Allentown and Bolivar quadrangles digitizing quality control was performed
by the USDA-NRCS, Greenwich, NY Resource Soil Scientist.
Source_Used_Citation_Abbreviation: NRCS9, USGS1, FSA1
Process_Date: 2013
Process_Step:
Process_Description:
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: NRCS10
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: 20131216
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: 20131216
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20140913
Process_Step:
Process_Description: Soil interpretation factors K, T, WEG, WEI, concrete corrosion potential, and steel corrosion potential were calculated based on national standard parameters.
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20140913
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20150920
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20150920
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20160923
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20160923