Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: 1975
Title: Soil Survey of Suffolk County, New York
Geospatial_Data_Presentation_Form: atlas
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: U.S. Government Printing Office
Source_Scale_Denominator: 20000
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1970
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS1
Source_Contribution:
source of soil map unit delineations, soil
symbols and special soil features locations
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: 1975
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
Source_Scale_Denominator: 20000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1970
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SCS2
Source_Contribution:
final publication negatives used to develop ratioed
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Publication_Date: unpublished material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: 1970
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: 20010507
Title:
Soil Survey Geographic (SSURGO) database for Suffolk 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: 20010507
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,
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: 20010507
Title:
Soil Survey Geographic (SSURGO) database for Suffolk 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: 20010507
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS5
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 Suffolk County, New York
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
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2005
Source_Currentness_Reference: date of publication
Source_Citation_Abbreviation: NRCS6
Source_Contribution: source for digital revision
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S Department of Agriculture, Farm Service Agency
Publication_Date: 2006
Title: NAIP imagery for Nassau 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: 2006
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: 2004-2007
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 (NY103)
Suffolk County, New York:
CT600 State of Connecticut
RI600 State of Rhode Island
NY059 Nassau County, New York
Source_Scale_Denominator: 12000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2004
Ending_Date: 2007
Source_Currentness_Reference: date of publication
Source_Citation_Abbreviation: NRCS7
Source_Contribution: used to check joins to the adjacent soil surveys
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: unpublished material
Title: region 12 soils geodatabase
Geospatial_Data_Presentation_Form: file geodatabase
Type_of_Source_Media: vector digital data
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2006
Ending_Date: 2012
Source_Currentness_Reference: SSURGO publication date
Source_Citation_Abbreviation: NRCS8
Source_Contribution: Source of digital revision
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: NRCS9
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
Suffolk County had a previously published soil
survey, 1975, at 1:20000 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 map unit 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, Madison, Wisconsin. The county
boundaries were manually digitized from the 7.5 minute U.S. Geological
Survey topographic quadrangles and later adjusted to the 3.75 minute
orthophotographic quadrangles in LT4X version 4.1.1 on a Sun UNIX
Workstation, exported to GRASS, snapped together in GRASS Version 4.13
and then imported back to 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.
Check plots of the soils and special soil features were reviewed by the
digitizing unit staff, Madison, Wisconsin. A ten percent review of the
soils and special soil features were reviewed by the Major Land
Resources Area (MLRA), 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 exported as Digital Line Graph-3
Optional format files in LT4X. The DLG-3 Optional format files were
evaluated with the October 1998 ARC/INFO SSURGO evaluation AMLs provided
by U.S. Department of Agriculture, Natural Resources Conservation
Service, National Cartography and Geospatial Center, Fort Worth, Texas.
Upon successful completion of evaluating the data, the DLGs were
rewritten from the ARC/INFO Version 7.11. The new DLGs were reviewed
again with the SSURGO evaluation AMLs. Upon successful completion of
the data, the DLGs were processed with the October 1998 archiving AMLs
provided by U.S. Department of Agriculture, Natural Resources
Conservation Service, National Cartography and Geospatial Center.
Source_Used_Citation_Abbreviation: NRCS2, USGS1, NRCS3
Process_Date: 2001
Process_Step:
Process_Description:
The Map Unit Interpretations Record data base
was developed by the Natural Resources Conservation Service soil
scientists according to national standards.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 2001
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: 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: 20041222
Process_Step:
Process_Description:
The online SSURGO data were imported into ARC/INFO Version 9.1 at the
Natural Resources Conservation Service, Wisconsin Digitizing Unit. Soil
line work and attribute data were updated along the county border with
Nassau County to create a more accurate join. The SSURGO data were
processed with May 2004 re-archiving AMLs provided by the National
Cartography and Geospatial Center, Fort Worth, Texas (NCGC). The SSURGO
data were submitted to the Soil Data Warehouse for archival and
distribution.
Source_Used_Citation_Abbreviation: NRCS5
Process_Date: 2005
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20051121
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: 20051121
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20051212
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20051214
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20060710
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20060711
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20060724
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: 20060724
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: 20060802
Process_Step:
Process_Description:
A set of brief map unit descriptions were added to the data export.
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: 20060802
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 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: 20100205
Process_Step:
Process_Description:
The Michigan Digitizing Unit (MIDU) staff downloaded the SSURGO data
for Nassau County and the adjacent soil surveys from the Soil
Data Warehouse (SDW). The MIDU staff imported the coverages into a
geodatabase and checked the spatial data with the ARCGIS Version 9.2
software. The 2006 NAIP imagery was used to review the small water
polygons. Most of the water polygons smaller than 1 acre were
removed. To remove excess vertices, the soil boundaries were
generalized at a tolerance of 0.5 meters. The boundaries of this soil
survey were adjusted to match the boundaries of the adjacent soil
surveys at a tolerance of 0.1 meters. 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. The labels in
the spatial data matched the symbols in the mapunit table from NASIS.
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: NASIS, FSA1, NRCS6, NRCS7
Process_Date: 20100225
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: 20100226
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 spatial data for Suffolk County, New York soil survey area was
downloaded from the Soil Data Mart on October 15, 2012. The individual
shapefiles were appended into a geodatabase for region 12. The data were
processed in ARCGIS 10.1 using a topology object with a 0.1 meter cluster
tolerance for the purpose of eliminating gaps and overlaps within the
region 12 soils geodatabase. Individual soil survey area data were
exported as shapefiles from the regional geodatabase. A datum
transformation from NAD83 to WGS84 using the NAD_1983_To_WGS_1984_1 datum
transformation method was applied to the data. The data were checked with
the SSURGO Evaluation scripts provided by U.S. Department of Agriculture,
Natural Resources Conservation Service. The shapefiles were then uploaded
to the soil data warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS8
Process_Date: 2013
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 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 Suffolk County, New York
was edited within the Soil Survey Region 12 geodatabase. As part of
the SDJR MLRA 149B Montauk loam, 0 to 3 percent slopes
project. The map unit MfA was changed to MkA. As part of
the SDJR MLRA 149B Montauk loam, 3 to 8 percent slopes
project. The map unit MfB was changed to MkB. As part of
the SDJR MLRA 149B Montauk loam, 8 to 15 percent slopes
project. The map unit MfC was changed to MkC. 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: NRCS9
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