Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Soil Conservation Service
Publication_Date: 1994
Title: Soil Survey of Chautauqua 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: 1988
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS1
Source_Contribution:
soil attributes and special soil
feature locations
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Soil Conservation Service
Publication_Date: 1994
Title: publication annotation overlays
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher:
U.S. Department of Agriculture,
Soil Conservation Service,
National Cartography and Geospatial Center
Source_Scale_Denominator: 15840
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1988
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS2
Source_Contribution:
final publication negatives used to develop
ratio film positives
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: ratioed film positives of publication annotation overlays
Geospatial_Data_Presentation_Form: remote-sensing image
Source_Scale_Denominator: 12000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1988
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS1
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: 1998
Title: multiple 3.75 minute orthophotographic quadrangles
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher:
U.S. Department of Agriculture,
Natural Resources Conservation Service,
National Cartography and Geospatial Center
Source_Scale_Denominator: 12000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1994
Ending_Date: 1996
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS2
Source_Contribution:
base material for compilation and a reference
for compilation of cultural features
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1954-1968
Title: multiple 7.5 minute topographic quadrangles
Geospatial_Data_Presentation_Form: map
Publication_Information:
Publication_Place: Reston, Virginia
Publisher: U.S. Geological Survey
Source_Scale_Denominator: 24000
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1954
Ending_Date: 1968
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: USGS1
Source_Contribution: source for county boundaries
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: annotated soil delineation overlays
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 12000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 1994
Ending_Date: 1996
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: NRCS3
Source_Contribution: scanning source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 20001128
Title:
Soil Survey Geographic (SSURGO) database
for Chautauqua 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: 12000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20001128
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS4
Source_Contribution: rearchiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2004
Title: National Soil Information System (NASIS) data base
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Type_of_Source_Media: database
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2004
Ending_Date: 2006
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NASIS
Source_Contribution: attribute (tabular) information
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2004
Title:
Soil Survey Geographic (SSURGO) database
for Chautauqua 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: 12000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2004
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS5
Source_Contribution: rearchiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S Department of Agriculture, Farm Service Agency
Publication_Date: 2008
Title: NAIP imagery for Chautauqua 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 Chautauqua County, New York
Geospatial_Data_Presentation_Form: vector digital data
Source_Scale_Denominator: 12000
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: NRCS6
Source_Contribution: source for digital revision
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2004 - 2006
Title:
Soil Survey Geographic (SSURGO) Databases for adjacent
soil 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
Source_Scale_Denominator: 12000, 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2004
Ending_Date: 2006
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS7
Source_Contribution:
used to check the joins with:
(NY009) Cattaraugus County
(NY605) Seneca Nation of Indians
(PA049) Erie County
(PA609) Warren and Forest Counties
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2009
Title:
Soil Survey Geographic (SSURGO) database
for Chautauqua 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: 12000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2009
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS8
Source_Contribution: rearchiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: Contour map for Northwest Pennsylvania Update
Geospatial_Data_Presentation_Form: vector map
Other_Citation_Details: created from the LiDAR grid data
Source_Scale_Denominator: 5 meter grid
Type_of_Source_Media: derived vector layer in dataset
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2009
Source_Currentness_Reference: Date created
Source_Citation_Abbreviation: NRCS9
Source_Contribution: used for verification of slope
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: ARCGIS geodatabase for Chautauqua County, New York
Geospatial_Data_Presentation_Form: vector digital data
Source_Scale_Denominator: 12000
Type_of_Source_Media: ARCGIS geodatabase
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2011
Source_Currentness_Reference: date of soil survey update
Source_Citation_Abbreviation: NRCS9
Source_Contribution: source for digital revision
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2004 - 2010
Title:
Soil Survey Geographic (SSURGO) databases
for adjacent surveys
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher:
U.S. Department of Agriculture,
Natural Resources Conservation Service,
Information Technology Center
Other_Citation_Details:
These soil surveys are adjacent to (NY013) Chautauqua County, New York:
NY009 Cattaraugus County, New York
NY605 Seneca Nation of Indians, New York
PA049 Erie County, Pennsylvania
PA609 Warren and Forest Counties, Pennsylvania
Source_Scale_Denominator: 12000, 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2004
Ending_Date: 2010
Source_Currentness_Reference: dates of publication
Source_Citation_Abbreviation: NRCS10
Source_Contribution: used to check joins to the adjacent soil surveys
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: unpublished material
Title: region 12 soils geodatabase
Geospatial_Data_Presentation_Form: file geodatabase
Type_of_Source_Media: vector digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2006
Ending_Date: 2012
Source_Currentness_Reference: SSURGO publication date
Source_Citation_Abbreviation: NRCS11
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
Chautauqua County had a previously published soil survey, 1994, at
1:15840 scale. An evaluation was made of the soil survey in 1996.
It was determined that the soil map unit delineations and map unit
components were accurate.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 1996
Process_Step:
Process_Description:
Ratioed film positives, at 1:12000 scale, were made from the final
publication negatives. Soil mapunit delineations, soil symbols and
special soil features were manually compiled from the ratioed film
positives to an overlay 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 image.
Source_Used_Citation_Abbreviation: SCS2, NRCS1, NRCS2
Process_Date: 1999
Process_Step:
Process_Description:
The 3.75 minute quadrangle annotated soil delineation overlays were
raster scanned by Midwest Graphics, Kenosha, Wisconsin at 250 dpi on
an Intergraph Anatech scanner in rlc format. Four control points
corresponding to the four corners on the 3.75 minute quadrangles were
used for registration during data collection. The data were sent to
the Wisconsin Digitizing Unit (WIDU) in Madison, Wisconsin.
The county boundaries were manually digitized from the USGS
topographic quadrangles and later adjusted using the multiple 3.75
minute orthophotographic quadrangles in LT4X Version 4.1.1 on a Sun
UNIX Workstation, exported to GRASS, snapped together using GRASS
Version 4.13 and then imported back into LT4X. The special soil
features were manually digitized from the scanning source in LT4X
Version 4.1.1 at a resolution of at least 0.01 inch. The raster
editing, labeling, edge matching, vector conversion and editing were
done in LT4X Version 4.1.1. The data were created and maintained in
North American Datum of 1983 (NAD83). Check plots of the soils and
special soil features data were reviewed by a soil scientist and
cartographic staff at the Wisconsin Digitizing Unit, Madison,
Wisconsin. A ten percent check plot review was done of the soils
and special soils features by the Major Land Resources Area (MLRA)
in Amherst, Massachusetts. The soils and special soil features data
were run through a series of LT4X macros for correctness and
completeness. These macros smoothed out and thinned out linework,
added nodes for every 3000 vertices, added corner nodes and snapped
nodes across the neatlines. The special soil features data were run
through an additional LT4X macro. The digital soils and special soil
features data were then exported as Digital Line Graph-3 Optional
format files in LT4X. The DLG-3 Optional format files were evaluated
with the October 1998 ARC/INFO evaluation AMLs provided by U.S.
Department of Agriculture (USDA), Natural Resources Conservation
Service (NRCS), National Cartography and Geospatial Center (NCGC) in
Fort Worth, Texas. Upon successful completion of evaluating the data,
the DLGs were rewritten from the ARC/INFO Version 7.11.
The ARC/INFO version DLGs were rechecked with the October 1998
ARC/INFO evaluation AMLs provided by the NCGC staff in Fort Worth,
Texas. The DLGs were processed with the October 1998 archiving
AMLs provided by NCGC.
Source_Used_Citation_Abbreviation: USGS1, NRCS2, NRCS3
Process_Date: 2000
Process_Step:
Process_Description:
The Map Unit Record (MUIR) data base was developed by the NRCS
soil scientists according to national standards.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 2000
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 Rearchiving 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: NRCS4
Process_Date: 2004
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 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 Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20051212
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart.
The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20051214
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20060708
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart.
The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20060708
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20061210
Process_Step:
Process_Description:
Tabular data was entered/edited 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 soil scientists at the Natural Resources Conservation Service
(NRCS) State Office in Syracuse, New York downloaded the survey-wide
coverages for Soil Survey Area (NY013) Chautauqua County, New York
from the Soil Data Warehouse (SDW). The coverages were imported into
an ARCGIS geodatatabase that would be submitted to the Michigan
Digitizing Unit (MIDU) for re-certification. The water polygons and
adjacent soil polygons in the existing SSURGO spatial data were
reviewed against the 1994 hardcopy soil survey atlas sheets and the
2008 NAIP imagery. The digital mapping was revised with ARCMAP 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 data were checked for any topology errors and
common lines and sent to the MIDU in East Lansing, Michigan for
recertification.
Source_Used_Citation_Abbreviation: SCS1, FSA1, NRCS5, NRCS6
Process_Date: 2009
Process_Step:
Process_Description:
The MIDU staff checked the spatial data with the ARCGIS Version 9.2
software. The MIDU staff downloaded the adjacent surveys from the
SDW. The boundaries of this soil survey were adjusted to match
the adjacent soil surveys. To remove excess vertices, the soil
boundaries were generalized at a 0.5 meter tolerance. After the soil
survey was edited, the area, line and point feature classes were
converted to ARC/INFO coverages and exported as e00 files.
The digital maps of the mapping units and the special soil features
were imported into the ARC/INFO Version 7.2.1 software for review and
certification. The MIDU staff checked the data with a set of ARC Macro
Language (AML) programs developed by the NCGC. The seamless coverages
were checked using the January 2006 SSURGO Evaluation AML programs.
Upon successful completion of the SSURGO Evaluation, the county
coverages, feature file and the metadata were electronically
transferred to the NRCS Staging Server to be joined with
the tabular data.
Source_Used_Citation_Abbreviation: NRCS6, NRCS7
Process_Date: 20090827
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: 20090828
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100202
Process_Step:
Process_Description:
Soil scientists reviewed and edited data for hydric rating and hydric
criteria. Interpretations for storm water management were added to the
set of interpretations. The Natural Resources Conservation Service
State Soil Scientist or delegate verified that the labels on the
digitized soil map units link to map units in the tabular database,
and certified the joined data sets for release to the Soil Data Warehouse.
A system assigned version number and date stamp were added and the data
were copied to the data warehouse. The tabular data for the map units and
components were extracted from the data warehouse and reformatted into the
soil data delivery data model, then stored in the Soil Data Mart.
The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100205
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20111206
Process_Step:
Process_Description:
Hydric ratings for minor soil components were included in the data set.
Hydrologic Soil Group data was updated to current criteria. The Natural
Resources Conservation Service State Soil Scientist or delegate
verified that the labels on the digitized soil map units link to map
units in the tabular database, and certified the joined data sets for
release to the Soil Data Warehouse. A system assigned version number
and date stamp were added and the data were copied to the data
warehouse. The tabular data for the map units and components were
extracted from the data warehouse and reformatted into the soil data
delivery data model, then stored in the Soil Data Mart.
The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20111206
Process_Step:
Process_Description:
The Major Land Resource Area (MLRA) Soil Survey office staff in
Mercer, Pennsylvania revised the spatial data for Chautauqua County,
New York, using ArcGIS Version 9.2 software. Mapping along the join
Chautauqua County was adjusted to match the soil survey update for
Erie County, Pennsylvania. Some mapping unit boundaries were smoothed
and adjusted to fit the Lidar-derived contour map. The seamless
county 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: NRCS8, NRCS9, NRCS10
Process_Date: 20120531
Process_Step:
Process_Description:
The MIDU staff checked the spatial data with the ARCGIS Version 9.3
software. To remove excess vertices, the soil boundaries were
generalized at a 0.5 meter tolerance. The boundaries of this soil
survey were adjusted to match the adjacent soil surveys at the
0.1 meter tolerance. After the soil survey was edited, the feature
classes for the areas, lines and points were imported into the
ARC/INFO Version 9.3 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 matched the
symbols in the mapunit table from NASIS. 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: NASIS, NRCS10, NRCS11
Process_Date: 20120607
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: 20120703
Process_Step:
Process_Description:
The spatial data for Chautauqua 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: 20140913
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: 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: 20150921
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20150921
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20160923
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20160923