Completeness_Report: A map unit is a collection of areas defined and named in terms of
their soil components or miscellaneous areas or both. Each map
unit differs in some respect from all others in a survey area and
each map unit has a symbol that uniquely identifies the map unit
on a soil map. Each individual area, point, or line so identified
on the map is a delineation.
Soil Scientists identify small areas of soils or miscellaneous areas
that have properties and behavior significantly different than the
named soils in the surrounding map unit. These minor components
may be indicated as special features. If they have a minimal effect
on use and management, or could not be precisely located, they may
not be indicated on the map.
A map unit has specified kinds of soils or miscellaneous areas
(map unit components), each with a designated range in
proportionate extent. Map units include one or more kinds of soil
or miscellaneous area. Miscellaneous areas are areas that have little
or no recognizable soil.
Specific National Cooperative Soil Survey standards and procedures
were used in the classification of soils, design and name of map
units, and location of special soil features. These standards are
outlined in Agricultural Handbook 18, Soil Survey Manual, 1993,
USDA, NRCS; Agricultural Handbook 436, Soil Taxonomy, 1995,
USDA, NRCS; and all Amendments; Keys to Soil Taxonomy,
(current issue) USDA, NRCS; National Soil Survey
Handbook, title 430-VI,(current issue) USDA, NRCS.
The actual composition and interpretive purity of the map unit
delineations were based on data collected by scientists during
the course of preparing the soil maps. Adherence to National
Cooperative Soil Survey standards and procedures is based on
peer review, quality control, and quality assurance. Quality
control is outlined in the memorandum of understanding for the
soil survey area and in documents that reside with the Natural
Resources Conservation Service state soil scientist. Four kinds
of map units are used in soil surveys: consociations, complexes,
associations, and undifferentiated groups.
Consociations - Consociations are named for the dominant soil.
In a consociation, delineated areas use a single name from the
dominant component in the map unit. Dissimilar components are
minor in extent. The soil component in a consociation may be
identified at any taxonomic level. Soil series is the lowest
taxonomic level. A consociation that is named as a miscellaneous
area is dominantly that kind of area and minor components do not
significantly affect the use of the map unit. The total amount of
dissimilar inclusions of other components in a map unit generally
does not exceed about 15 percent if limiting and 25 percent if
nonlimiting. A single component of a dissimilar limiting inclusion
generally does not exceed 10 percent if very contrasting.
Complexes and associations - Complexes and associations consist
of two or more dissimilar components that occur in a regularly
repeating pattern. The total amount of other dissimilar components
is minor extent. The following arbitrary rule determines whether
complex or association is used in the name. The major components
of an association can be separated at the scale of mapping. In
either case, because the major components are sufficiently different
in morphology or behavior, the map unit cannot be called a
consociation. In each delineation of a complex or an association,
each major component is normally present though their proportions
may vary appreciably from one delineation to another. The total
amount of inclusions in a map unit that are dissimilar to any of
the major components does not exceed 15 percent if limiting and
25 percent if nonlimiting. A single kind of dissimilar limiting
inclusion usually does not exceed 10 percent.
Undifferentiated groups - Undifferentiated groups consist of two
or more components that are not consistently associated
geographically and, therefore, do not always occur together in
the same map delineation. These components are included in the
same named map unit because their use and management are the same
or very similar for common uses. Generally they are grouped together
because some common feature, such as steepness, stoniness, or
flooding, determines their use and management. If two or more
additional map units would serve no useful purpose, they may be
included in the same unit. Each delineation has at least one of the
major components, and some may have all of them. The same principles
regarding the proportion of minor components that apply to
consociations also apply to undifferentiated groups. The same
principles regarding proportion of inclusion apply to
undifferentiated groups as to consociations.
Minimum documentation consists of three complete soil profile
descriptions that are collected for each soil added to the legend,
one additional per 3,000 acres mapped; three 10 observation
transects for each map unit, one additional 10 point transect per
3,000 acres.
A defined standard or level of confidence in the interpretive
purity of the map unit delineations is attained by adjusting the
kind and intensity of field investigations. Field investigations
and data collection are carried out in sufficient detail to name
map units and to identify accurately and consistently areas of
about 5 acres.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S. Department of Agriculture, Soil Conservation Service
Publication_Date: 1973
Title: Soil Survey of Chemung 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: 1969
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,
Natural Resources Conservation Service
Publication_Date: unpublished material
Title: publication annotation overlays
Geospatial_Data_Presentation_Form: map
Source_Scale_Denominator: 20000
Type_of_Source_Media: film
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1969
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS1
Source_Contribution:
final publication negatives used to develop
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 annotated overlays
Geospatial_Data_Presentation_Form: remote-sensing image
Source_Scale_Denominator: 12000
Type_of_Source_Media: film
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1969
Source_Currentness_Reference: final correlation date
Source_Citation_Abbreviation: NRCS2
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: NRCS3
Source_Contribution:
base material for compilation and a reference for compilation of
cultural features
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2002
Title:
Digital Raster Graphic County Mosaic of
Chemung County, New York
Geospatial_Data_Presentation_Form: map
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:
Range_of_Dates/Times:
Beginning_Date: 1942
Ending_Date: 1990
Source_Currentness_Reference: source material publication date
Source_Citation_Abbreviation: NRCS4
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: NRCS5
Source_Contribution: scanning and digitizing source
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
Chemung 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: 2002
Source_Currentness_Reference: export certification date
Source_Citation_Abbreviation: NRCS6
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: 2004
Title:
Soil Survey Geographic (SSURGO) database for
Chemung 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: 12000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2004
Source_Currentness_Reference: date of publication
Source_Citation_Abbreviation: NRCS7
Source_Contribution: source for digital revision
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 20041122
Title:
Soil Survey Geographic (SSURGO) database for
Chemung 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: 12000
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20041122
Source_Currentness_Reference:
date of submission from MIDU to WIDU for
re-certification
Source_Citation_Abbreviation: NRCS8
Source_Contribution: source for re-certification
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: 2006
Title:
Soil Survey Geographic (SSURGO) database for Chemung
County, New York
Geospatial_Data_Presentation_Form: vector digital data
Publication_Information:
Publication_Place: Fort Worth, Texas
Publisher:
U.S. Department of Agriculture, Natural
Resources Conservation Service, National Cartography
and Geospatial Center
Type_of_Source_Media: online
Source_Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2006
Source_Currentness_Reference: publication date
Source_Citation_Abbreviation: NRCS9
Source_Contribution: re-archiving source
Source_Information:
Source_Citation:
Citation_Information:
Originator: U.S Department of Agriculture, Farm Service Agency
Publication_Date: 2008
Title: NAIP imagery for Chemung 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 Chemung 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: NRCS10
Source_Contribution: source for digital revision
Source_Information:
Source_Citation:
Citation_Information:
Originator:
U.S. Department of Agriculture,
Natural Resources Conservation Service
Publication_Date: 2004-2007
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 SSURGO certified soil surveys are adjacent to
the Soil Survey of (NY015) Chemung County, New York:
NY097 Schuyler County, New York
NY101 Steuben County, New York
NY107 Tioga County, New York
NY109 Tompkins County, New York
PA117 Tioga County, Pennsylvania
PA610 Bradford and Sullivan 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: 2007
Source_Currentness_Reference: dates of publication
Source_Citation_Abbreviation: NRCS11
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: NRCS12
Source_Contribution: Source of digital revision
Process_Step:
Process_Description:
Chemung County had a previously published soil survey in 1973, at
1:20000 scale. An evaluation was made of the soil survey in 2001.
It was determined that the soil map unit delineations and map unit
components were accurate.
Source_Used_Citation_Abbreviation: SCS1
Process_Date: 2001
Process_Step:
Process_Description:
Ratioed film positives, at 1:12000 scale, were made from the
publication annotation overlays. Soil map unit delineations, soil
symbols and special soil features were manually compiled from the
film positives to stable-base material 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 quadrangles.
Source_Used_Citation_Abbreviation: NRCS1, NRCS2, NRCS3
Process_Date: 2002
Process_Step:
Process_Description:
The National Soil Information System (NASIS) data base was developed
by Natural Resources Conservation Service (NRCS) soil scientists
according to national standards.
Source_Used_Citation_Abbreviation: SCS1, NRCS6
Process_Date: 2003
Process_Step:
Process_Description:
The data were sent to Cornell University, Ithaca, New York. The
annotated soil delineation overlays were sent to Midwest Graphics,
Kenosha, Wisconsin for raster scanning at 250 dpi on an Intergraph
Anatach scanner in rlc and TIF format. The raster scanned data were
imported into LT4X Version 4.1.1 maps. Once all the scanned soil lines
were added to the maps, a county border was added. The border was
digitized onscreen from the DRG and ortho mosaic in ARCGIS. The data
were sent to the U.S. Department of Agriculture, Natural Resources
Conservation Service, Wisconsin Digitizing Unit, Madison, Wisconsin
(WIDU). The special soil features were digitized on screen in LT2000
using geo referenced TIF files derived from the annotated soil
delineation overlays The raster editing, labeling, edge matching, and
vector conversion were done in LT2000. Check plots of the soils and
special soil features were reviewed by a soil scientist and the
cartographic staff at the WIDU. A ten percent quality assurance review
was done of the soils and special features by the Major Land Resource
Area office in Amherst, Massachusetts. The soils and special soil
features data were run through a series of LT2000 macros for correctness
and completeness. These macros smoothed and thinned out line work,
added nodes for every 3000 vertices, added corner nodes and snapped
nodes across the neatlines. The soils and special soil features data
were then exported as Digital Line Graph-3 Optional format files (DLGs)
in LT2000. The DLGs were evaluated with the modified Oct. 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 (NCGC). Upon successful completion
of the SSURGO evaluation, the SSURGO data were processed with the
20040211 recert AMLs provided by NCGC and submitted to the Soil Data
Warehouse for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS4, NRCS5, NRCS6
Process_Date: 2003
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: 20040510
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: 20040510
Process_Step:
Process_Description:
The soil scientists and cartographic technicians at the Pennsylvania
NRCS Map Compilation and Digitizing Center have revised the SSURGO
data for Chemung County, New York. The soil survey map unit coverage
for Chemung County has been modified to match the Tioga County,
Pennsylvania Soil Survey area boundary and the Bradford and Sullivan
County, Pennsylvania Soil Survey area boundary. The special feature
coverages have not been modified. The ARC/INFO interchange file of
the Chemung County Soil Survey was sent to the Michigan Digitizing
Unit (MIDU) for digital review.
Source_Used_Citation_Abbreviation: NRCS7
Process_Date: 20040812
Process_Step:
Process_Description:
The MIDU staff converted the interchange file into the soils coverage
with the ARC/INFO Version 7.2.1 software. The MIDU staff downloaded
the special feature coverages and the NASIS data for Chemung County
from the Soil Data Mart. The soil survey coverages were processed
using the May 2004 SSURGO Re-certification AML programs for seamless
projects. These ARC/INFO programs identified areas within the
coverages that needed revision. The data were edited. Upon
successful completion of the SSURGO Evaluation, the area symbol was
added to each feature in the soil survey coverages with the
att_check.aml program. The county coverages and the metadata were
electronically transferred to the Wisconsin Digitizing Unit (WIDU)
for final review and re-certification.
Source_Used_Citation_Abbreviation: NRCS7
Process_Date: 20041122
Process_Step:
Process_Description:
The Wisconsin Digitizing Unit received the edited Chemung County,
New York Soil Survey from the Michigan Digitizing Unit for
final SSURGO review re-archival. The data were processed with the
May 2004 SSURGO Re-certification AML programs. Upon successful
completion, the data were submitted to the Soil Data Warehouse
for archival and distribution.
Source_Used_Citation_Abbreviation: NRCS8
Process_Date: 20041208
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: 20041208
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: 20041208
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20051212
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20051214
Process_Step:
Process_Description:
The online SSURGO data set was downloaded by the
Wisconsin Digitizing Unit in Madison, Wisconsin. The Chemung Survey
area boundary was adjusted to be an exact match to the survey area
boundaries of the SSURGO certified surveys of Schuyler County, Tioga
County, and Tompkins County, New York. The data was processed through
the 20040524 certification AML?s provided by the National Cartographic
and Geospatial Center in Ft. Worth, TX. The data was then uploaded to
the datamart.
Source_Used_Citation_Abbreviation: NRCS9
Process_Date: 20060915
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate verified that the labels on the digitized soil map units
link to map units in the tabular database, and certified the joined
data sets for release to the Soil Data Warehouse. A system assigned
version number and date stamp were added and the data were copied to
the data warehouse. The tabular data for the map units and components
were extracted from the data warehouse and reformatted into the soil
data delivery data model, then stored in the Soil Data Mart. The spatial
data were copied to the Soil Data Mart without change.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 20060915
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 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 soils staff in New York downloaded the SSURGO data for Chemung
County from the Soil Data Warehouse. Water polygons and adjacent soil
polygons in the existing SSURGO spatial data were reviewed against the
1973 hardcopy soil survey atlas sheets and the 2008 NAIP imagery.
The digital mapping was revised where water polygons were determined
to be ponded soil, so that the spatial data corresponds more closely
with the original hard copy atlas sheets. Some edits to other polygons
were made based on the imagery and atlas sheets. The revised
geodatabase was sent to the Michigan Digitizing Unit (MIDU) in East
Lansing, Michigan for review and certification.
Source_Used_Citation_Abbreviation: SCS1, FSA1, NRCS9, NRCS10
Process_Date: 2009
Process_Step:
Process_Description:
The MIDU staff checked the spatial data with the ARCGIS Version 9.2
software. The boundaries of this soil survey were adjusted to match
the adjacent soil surveys. To remove excess vertices, the soil
boundaries were generalized at a 0.5 meter tolerance. After the soil
survey was edited, the area, line and point feature classes were
converted to ARC/INFO coverages and exported as e00 files.
The digital maps of the mapping units and the special soil features
were imported into the ARC/INFO Version 7.2.1 software for review and
certification. The MIDU staff checked the data with a set of ARC Macro
Language (AML) programs developed by the NCGC. The seamless coverages
were checked using the January 2006 SSURGO Evaluation AML programs.
Upon successful completion of the SSURGO Evaluation, the county
coverages, feature file and the metadata were electronically
transferred to the NRCS Staging Server to be joined with
the tabular data.
Source_Used_Citation_Abbreviation: NRCS10, NRCS11
Process_Date: 20100212
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: 20100218
Process_Step:
Process_Description:
The Natural Resources Conservation Service State Soil Scientist or
delegate, upon completion of data quality verification, determined
that the tabular data should be released for official use. A
selected set of map units and components in the soil survey legend was
copied to a staging database, and rating values for selected
interpretations were generated. The list of selected interpretations is
stored in the database table named sainterp.
Source_Used_Citation_Abbreviation: NASIS
Process_Date: 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 spatial data for Chemung 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: NRCS12
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