Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Agricultural
Stabilization and Conservation Service
Publication_Date: 1982
Title: multiple 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: 1981
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: ASCS1
Source_Contribution: base materials for field mapping
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1982
Title: multiple 7.5 minute orthophotoquads
Geospatial_Data_Presentation_Form: remote-sensing image
Publication_Information:
Publication_Place: Menlo Park, California
Publisher: U.S. Geological Survey
Source_Scale_Denominator: 24000
Type_of_Source_Media: stable-base material
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1981
Source_Currentness_Reference: date aerial photography was flown
Source_Citation_Abbreviation: USGS1
Source_Contribution: compilation base map source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 1943-1994
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: 1943
Ending_Date: 1994
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: USGS2
Source_Contribution: source for digital county borders
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: unpublished material
Title: Soil Survey of Delaware County, New York
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 24000
Type_of_Source_Media: paper
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1999
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS1
Source_Contribution:
information for soil map unit delineations,
special soil feature locations, and data on soil properties
Source_Information:
Source_Citation:
Citation_Information:
Originator:
Soil Information Systems Laboratory, Cornell
University, Ithaca, New York
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: 1999
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: SISL1
Source_Contribution: scanning source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural Resources
Conservation Service
Publication_Date: unpublished material
Title:
Soil DLGs and tabular information of Delaware County, New
York
Geospatial_Data_Presentation_Form: digital data
Source_Scale_Denominator: 24000
Type_of_Source_Media: CD-ROM
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1999
Source_Currentness_Reference: date submitted for SSURGO Review
Source_Citation_Abbreviation: NRCS2
Source_Contribution: SSURGO evaluation source (sent to Wisconsin)
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture, Natural
Resources Conservation Service
Publication_Date: 2003
Title:
National Soil Information System (NASIS) database
for Delaware County, New York
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher:
U.S. Department of Agriculture, Natural
Resources Conservation Service, Information Technology
Center
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2003
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: 2000
Title:
Soil Survey Geographic (SSURGO) database for Delaware
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
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2000
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: 2003
Title:
Soil Survey Geographic (SSURGO) database for Delaware
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
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2003
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS5
Source_Contribution:
source for adding new border for join with Wayne
County, Pennsylvania
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: unknown
Publication_Information:
Publication_Place: Fort Collins, Colorado
Publisher:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Source_Scale_Denominator: 24000
Type_of_Source_Media: database
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2003
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 Delaware
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
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2006
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS6
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 Delaware
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
Source_Scale_Denominator: 24000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2006
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS7
Source_Contribution: re-archiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2003 - 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
(NY025) Delaware County, New York:
NY007 Broome County, New York
NY017 Chenango County, New York
NY039 Greene County, New York
NY077 Otsego County, New York
NY095 Schoharie County, New York
NY105 Sullivan County, New York
NY111 Ulster County, New York
PA127 Wayne County, 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: 2003
Ending_Date: 2007
Source_Currentness_Reference: dates of publication
Source_Citation_Abbreviation: NRCS8
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: NRCS9
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
Field procedures for the second order soil
survey included plotting of soil boundaries determined by field
observations and by interpretation of remotely sensed data.
Boundaries were verified at closely spaced intervals and the
soils in each delineation were identified by traversing and
transecting the landscape. Soil scientists described and sampled
the soils, analyzed samples in the laboratory, and statistically
analyzed the data. The classification and map unit names were
finalized at the final correlation in May, 1999.
Source_Used_Citation_Abbreviation: ASCS1
Process_Date: 1999
Process_Step:
Process_Description:
Field maps were manually compiled to 1:24000
scale, 7.5 minute orthophoto quadrangles. Soil delineation
overlays were created by tracing the soil lines from the 7.5
minute orthophoto quadrangles to stable-base material registered to
the orthophotos. The soil delineations were raster scanned by
Midwest Graphics, Milwaukee, Wisconsin, at 250 dpi on an Intergraph
scanner in rlc format. The data were sent to the Soil Information
Systems Laboratory, Cornell University, Ithaca, new York. The
raster editing, labeling, edge matching, vector conversion and
editing were done in LT4X Version 4.02 on a Sun UNIX workstation.
The data were created and maintained in North American Datum of
1927 (NAD27). Check plots of the soils data were reviewed by a
soil scientist and cartographic staff at the U.S. Department of
Agriculture, Natural Resources Conservation Service (USDA-NRCS),
Amherst, Massachusetts office. The soils data were exported to
GRASS Version 4.13 and written to a Digital Line Graph-3 Optional
format file.
Source_Used_Citation_Abbreviation: ASCS1, USGS1, SISL1
Process_Date: 1999
Process_Step:
Process_Description:
The Map Unit Interpretations Record data base
was developed by Natural Resources Conservation Service soil
scientists according to national standards.
Source_Used_Citation_Abbreviation: NRCS1
Process_Date: 1999
Process_Step:
Process_Description:
The digital soils data and the 7.5 minute
orthophoto quadrangles were sent to U.S. Department of Agriculture,
Natural Resources Conservation Service, Wisconsin Digitizing Unit,
Madison, Wisconsin for special feature digitizing and SSURGO
Review. The county borders were manually digitized from the USGS
7.5 minute topographic 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
features were manually digitized from the 7.5 minute orthophoto
quadrangles in LT4X Version 4.1.1 at a resolution of at least 0.01
inch. The data were created and maintained in North American Datum
of 1927. Check plots of the special features data were reviewed by
a soil scientist and cartographic staff at the Wisconsin Digitizing
Unit, Madison, Wisconsin. The soils and special 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 then neatlines. The special features data were run
through an additional LT4X macro. The special 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 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 the SSURGO Evaluation, the DLGs were
rewritten from ARC/INFO Version 7.11. The ARC/INFO version DLGs
were rechecked with the October 1998 ARC/INFO SSURGO Evaluation
AMLs provided by National Cartography and Geospatial Center. The
DLGs were processed with the October 1998 archiving AMLs provided
by National Cartography and Geospatial Center.
Source_Used_Citation_Abbreviation: USGS1, USGS2, NRCS2
Process_Date: 1999
Process_Step:
Process_Description:
The National Soil Information System data
base was developed by Natural Resources Conservation Service
soil scientists according to national standards.
Source_Used_Citation_Abbreviation: NRCS3
Process_Date: 2003
Process_Step:
Process_Description:
The online SSURGO data were imported into
ARC/INFO Version 7.2.1 at the Natural Resources Conservation
Service, Wisconsin Digitizing Unit. The SSURGO data were
processed with revised October 1998 AMLs. Minor codes
were replaced to link spatial data map unit labels with the
National Soil Information System (NASIS) data base. New SSURGO
DLGs were written. The SSURGO data and NASIS SSURGO tabular
download were archived with April 2001 Version Archiving AMLs
provided by the National Cartography and Geospatial Center, Fort
Worth, Texas (NCGC). The data were ftped to NCGC for archiving and
distribution.
Source_Used_Citation_Abbreviation: NRCS3, NRCS4
Process_Date: 2003
Process_Step:
Process_Description:
A new border was put on Delaware County, NY by the Pennsylvania NRCS Map
Compilation and Digitizing Center at University Park, Pennsylvania for a
join with Wayne County, Pennsylvania. The Following quadrangles were
edited for join purposes: Deposit, Cannonsville Reservoir, Hancock, Lake
Como, Long Eddy. A labeling error was also found and corrected in Hamden
Quadrangle. The data were then run through the re-archiving AML and
ftp?ed to the National Cartographic and Geospatial Center, Fort Worth,
Texas (NCGC) for quality assurance and distribution formatting to comply
with SSURGO standards. Once the digital soils data completed all the
checks it was submitted to the Soil Data Warehouse for archival and
distribution.
Source_Used_Citation_Abbreviation: NRCS5
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: 2004
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: 2004
Process_Step:
Process_Description:
The SSURGO database of Delaware County, New York was
downloaded from U.S. Department of Agriculture, Natural Resources
Conservation Service, National Cartography and Geospatial Center (NCGC)
distribution site. The survey area boundary was replaced along the
Chenango, Broome, Sullivan, Ulster, Greene, and Schoharie Counties, New
York, to create an exact match. Soil lines in Delaware, along the
boundaries of Sullivan, Ulster, and Greene Counties, were adjusted
to create a line for line join between the survey areas. The data was
then processed by the Madison, Wisconsin Digitizing Unit for re-
certification. Upon successful completion of the SSURGO Evaluation,
with the 20040524 archiving AMLs provided by NCGC, the certified data
were uploaded to the Soil Data Warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS6
Process_Date: 20060302
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: 20060313
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: 20060313
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: 20060406
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: 20060406
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 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: 20081010
Process_Step:
Process_Description:
Entered Area Overlap data to show map units within
the Upper Delaware Scenic and Recreational River / National Park System
land. 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: 20081010
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined that
the tabular data should be released for official use. A selected set of
map units and components in the soil survey legend was copied to a
staging database, and rating values for selected interpretations were
generated. The list of selected interpretations is stored in the
database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100203
Process_Step:
Process_Description:
Soil scientists reviewed and edited data for hydric rating and hydric
criteria. Interpretations for storm water management were added to the
set of interpretations. The Natural Resources Conservation Service State
Soil Scientist or delegate verified that the labels on the digitized
soil map units link to map units in the tabular database, and certified
the joined data sets for release to the Soil Data Warehouse. A system
assigned version number and date stamp were added and the data were
copied to the data warehouse. The tabular data for the map units and
components were extracted from the data warehouse and reformatted into
the soil data delivery data model, then stored in the Soil Data Mart.
The spatial data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20100205
Process_Step:
Process_Description:
The Michigan Digitizing Unit (MIDU) staff downloaded the SSURGO data
for Delaware County, New York and the adjacent surveys from the Soil
Data Warehouse (SDW). The MIDU staff checked the spatial data with
the ARCGIS Version 9.2 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
area, line and point feature classes were converted to ARC/INFO
coverages and exported as e00 files. 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 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, NRCS7, NRCS8
Process_Date: 20110203
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: 20110308
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 spatial data for Delaware County, New York soil survey area was
downloaded from the Soil Data Mart on October 15, 2012. The individual
shapefiles were appended into a geodatabase for region 12. The data were
processed in ARCGIS 10.1 using a topology object with a 0.1 meter cluster
tolerance for the purpose of eliminating gaps and overlaps within the
region 12 soils geodatabase. Individual soil survey area data were
exported as shapefiles from the regional geodatabase. A datum
transformation from NAD83 to WGS84 using the NAD_1983_To_WGS_1984_1 datum
transformation method was applied to the data. The data were checked with
the SSURGO Evaluation scripts provided by U.S. Department of Agriculture,
Natural Resources Conservation Service. The shapefiles were then uploaded
to the soil data warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS9
Process_Date: 2013
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20131124
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20131124
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20140914
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: 20140914
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: 20150925
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: 20150925
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