File Geodatabase Feature Class
Tags
Mohegan Lake NW Quadrangle, White Plains NW Quadrangle, Mount Vernon SW Quadrangle, White Plains SW Quadrangle, New York, Peach Lake SW Quadrangle, Mount Vernon SE Quadrangle, Mount Kisco NW Quadrangle, Flushing NE Quadrangle, Bayville NW Quadrangle, Mohegan Lake SE Quadrangle, Sea Cliff NW Quadrangle, Glenville SE Quadrangle, Mamaroneck SE Quadrangle, Mamaroneck NE Quadrangle, Haverstraw NW Quadrangle, Soil Survey Geographic, White Plains SE Quadrangle, Croton Falls NW Quadrangle, Mamaroneck SW Quadrangle, Ossining SW Quadrangle, Pound Ridge NE Quadrangle, Pound Ridge SW Quadrangle, Haverstraw NE Quadrangle, Mount Vernon NW Quadrangle, Pound Ridge NW Quadrangle, Peach Lake NE Quadrangle, Mount Vernon NE Quadrangle, Yonkers NE Quadrangle, Mount Kisco SE Quadrangle, Glenville NE Quadrangle, Yonkers SE Quadrangle, Pound Ridge SE Quadrangle, Mount Kisco NE Quadrangle, Glenville SW Quadrangle, Mohegan Lake NE Quadrangle, Glenville NW Quadrangle, Westchester County, soils, Peekskill NW Quadrangle, Peekskill SE Quadrangle, Nyack SE Quadrangle, White Plains NE Quadrangle, Norwalk North NW Quadrangle, Ossining SE Quadrangle, Mamaroneck NW Quadrangle, Ossining NW Quadrangle, Croton Falls SW Quadrangle, Peekskill NE Quadrangle, soil survey, Nyack NE Quadrangle, Peach Lake SE Quadrangle, Peekskill SW Quadrangle, Mount Kisco SW Quadrangle, Mohegan Lake SW Quadrangle, Croton Falls NE Quadrangle, SSURGO, Ossining NE Quadrangle, Croton Falls SE Quadrangle, Haverstraw SE Quadrangle, Peach Lake NW Quadrangle
SSURGO depicts information about the kinds and distribution of soils on the landscape. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey.
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. Data was downloaded June 2017 from U.S. Department of Agriculture, Natural ResourcesConservation Service.
There are no credits for this item.
The U.S. Department of Agriculture, Natural Resources Conservation Service, should be acknowledged as the data source in products derived from these data. This data set is not designed for use as a primary regulatory tool in permitting or citing decisions, but may be used as a reference source. This is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, State, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service any authority for the decisions that they make. The Natural Resources Conservation Service will not perform any evaluations of these maps for purposes related solely to State or local regulatory programs. Photographic or digital enlargement of these maps to scales greater than at which they were originally mapped can cause misinterpretation of the data. If enlarged, maps do not show the small areas of contrasting soils that could have been shown at a larger scale. The depicted soil boundaries, interpretations, and analysis derived from them do not eliminate the need for onsite sampling, testing, and detailed study of specific sites for intensive uses. Thus, these data and their interpretations are intended for planning purposes only. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data.
Extent
West | -73.983852 | East | -73.479512 |
North | 41.369633 | South | 40.874276 |
Maximum (zoomed in) | 1:5,000 |
Minimum (zoomed out) | 1:150,000,000 |
ny119
Digital versions of hydrography, cultural features, and other associated layers that are not part of the SSURGO data set may be available from the primary organization listed in the Point of Contact.
publication date
Although these data have been processed successfully on a computer system at the U.S. Department of Agriculture, no warranty expressed or implied is made by the Agency regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. The U.S. Department of Agriculture will warrant the delivery of this product in computer readable format, and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals, or when the physical medium is delivered in damaged condition. Request for adjustment of credit must be made within 90 days from the date of this shipment from the ordering site. The U.S. Department of Agriculture, nor any of its agencies are liable for misuse of the data, for damage, for transmission of viruses, or for computer contamination through the distribution of these data sets. The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, sex, religion, age, disability, political beliefs, sexual orientation, or marital or family status. (Not all prohibited bases apply to all programs.)
The U.S. Department of Agriculture, Natural Resources Conservation Service, should be acknowledged as the data source in products derived from these data. This data set is not designed for use as a primary regulatory tool in permitting or citing decisions, but may be used as a reference source. This is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, State, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service any authority for the decisions that they make. The Natural Resources Conservation Service will not perform any evaluations of these maps for purposes related solely to State or local regulatory programs. Photographic or digital enlargement of these maps to scales greater than at which they were originally mapped can cause misinterpretation of the data. If enlarged, maps do not show the small areas of contrasting soils that could have been shown at a larger scale. The depicted soil boundaries, interpretations, and analysis derived from them do not eliminate the need for onsite sampling, testing, and detailed study of specific sites for intensive uses. Thus, these data and their interpretations are intended for planning purposes only. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data.
Certain node/geometry and topology GT- polygon/chain relationships are collected or generated to satisfy topological requirements (the GT-polygon corresponds to the soil delineation). Some of these requirements include: chains must begin and end at nodes, chains must connect to each other at nodes, chains do not extend through nodes, left and right GT-polygons are defined for each chain element and are consistent throughout, and the chains representing the limits of the file are free of gaps. The tests of logical consistency are performed using vendor software. All internal polygons are tested for closure with vendor software and are checked on hard copy plots. All data are checked for common soil lines (i.e., adjacent polygons with the same label). Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. The Soil Survey of (NY119) Westchester County, New York is edge matched to all of the adjacent SSURGO certified soil surveys: CT600 - State of Connecticut NJ003 - Bergen County, New Jersey NY005 - Bronx County, New York NY059 - Nassau County, New York NY079 - Putnam County, New York NY087 - Rockland County, New York Most feature edges (polygon and line segments) match adjacent ones in the edge matched survey areas, however, most feature labels don't match the adjacent feature labels in edge matched surveys. Descriptive attributes (tabular information about the polygons and line segments) were developed specifically for each survey area. Although most don't match exactly, the descriptive attributes of most polygon and line segments in this survey are nearly the same as adjacent ones in edge matched soil surveys. The soil survey boundary for Westchester County matches the soil survey boundary for all of the adjacent certified soil surveys.
Certain node/geometry and topology GT- polygon/chain relationships are collected or generated to satisfy topological requirements (the GT-polygon corresponds to the soil delineation). Some of these requirements include: chains must begin and end at nodes, chains must connect to each other at nodes, chains do not extend through nodes, left and right GT-polygons are defined for each chain element and are consistent throughout, and the chains representing the limits of the file are free of gaps. The tests of logical consistency are performed using vendor software. All internal polygons are tested for closure with vendor software and are checked on hard copy plots. All data are checked for common soil lines (i.e., adjacent polygons with the same label). Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. The Soil Survey of (NY119) Westchester County, New York is edge matched to all of the adjacent SSURGO certified soil surveys: CT600 - State of Connecticut NJ003 - Bergen County, New Jersey NY005 - Bronx County, New York NY059 - Nassau County, New York NY079 - Putnam County, New York NY087 - Rockland County, New York Most feature edges (polygon and line segments) match adjacent ones in the edge matched survey areas, however, most feature labels don't match the adjacent feature labels in edge matched surveys. Descriptive attributes (tabular information about the polygons and line segments) were developed specifically for each survey area. Although most don't match exactly, the descriptive attributes of most polygon and line segments in this survey are nearly the same as adjacent ones in edge matched soil surveys. The soil survey boundary for Westchester County matches the soil survey boundary for all of the adjacent certified soil surveys.
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 3 acres.
The attribute accuracy is tested by manual comparison of the source with hard copy plots and/or symbolized display of the map data on an interactive computer graphic system. Selected attributes that cannot be visually verified on plots or on screen are interactively queried and verified on screen. In addition, the attributes are tested against a master set of valid attributes. All attribute data conform to the attribute codes in the signed classification and correlation document and amendment(s).
The accuracy of these digital data is based upon their compilation to base maps that meet National Map Accuracy Standards at a scale of 1 inch equals 1,000 feet. The difference in positional accuracy between the soil boundaries and special soil features locations in the field and their digitized map locations is unknown. The locational accuracy of soil delineations on the ground varies with the transition between map units. For example, on long gently sloping landscapes the transition occurs gradually over many feet. Where landscapes change abruptly from steep to level, the transition will be very narrow. Soil delineation boundaries and special soil features generally were digitized within 0.01 inch of their locations on the digitizing source. The digital map elements are edge matched between data sets. The data along each quadrangle edge are matched against the data for the adjacent quadrangle. Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch.
The Soil Survey of Putnam and Westchester Counties was published in 1994 at 1:12000 scale. An evaluation was made of the soil survey in 1999. It was determined that the soil map unit delineations and map unit components were accurate.
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.
The National Soil Information System data base was developed by Natural Resources Conservation Service (NRCS) soil scientists according to national standards.
The data were sent to the U.S. Department of Agriculture, Natural Resources Conservation Service, Wisconsin Digitizing Unit, Madison, Wisconsin (WIDU). 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 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 manually digitized from U.S. Geological Survey 7.5 minute topographic quadrangles in LT4X. The special soil features were manually digitized from the annotated soil delineation overlays in LT4X at a resolution of 0.01 inch. The raster editing, labeling, edge matching, and vector conversion were done in LT4X. 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 Indianapolis, IN. The soils and special soil features data were run through a series of LT4X macros for correctness and completeness. These macros smoothed and thinned out linework, 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 LT4X. 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 DLGs were rewritten from ARC/INFO Version 7.2.1. The SSURGO generated DLGs were rechecked with the SSURGO Evaluation AMLs. The SSURGO data and NASIS SSURGO download tabular data were processed with the April 2001 archiving AMLs provided NCGC. The certified data were ftped to NCGC for archival and distribution.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
The Michigan Digitizing Unit (MIDU) staff downloaded the SSURGO data for Westchester 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.
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.
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.
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.
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.
Updated hydrologic soil group for Charlton components. The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change.
The spatial data for Westchester 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.
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.
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.
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.
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.
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.
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.
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.
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 material for special soil features, soil polygons and soil attributes
final correlation date
attribute (tabular) information
publication date
tabular data linked to spatial soil data
export certification date
Source of digital revision
SSURGO publication date
used to check joins to the adjacent soil surveys
These soil surveys are adjacent to (NY119) Westchester County, New York: NY059 Nassau County, New York NY071 Orange County, New York NY079 Putnam County, New York NY087 Rockland County, New York NJ003 Bergen County, New Jersey CT600 State of Connecticut
dates of publication
scanning and digitizing source
date aerial photography was flown
soil attributes and special soil feature locations
final correlation date
re-archiving source
publication date
source for county boundaries
publication date
final publication negatives used to develop film positives
final correlation date
base material for compilation and a reference for compilation of cultural features
date aerial photography was flown
Typically within four hours
Visit the above mentioned Internet Web Site, select state or territory, then select individual soil survey area of interest. Spatial line data and locations of special feature symbols are in ESRI ArcGIS shapefile, format. The National Soil Information System attribute soil data are available in variable length, pipe delimited, ASCII file format.
Special Soil Features represent soil, miscellaneous area, or landform features that are too small to be digitized as soil delineations (area features).
Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS.
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Feature geometry.
Esri
Coordinates defining the features.
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Map Unit Delineations are closed polygons that may be dominated by a single soil or miscellaneous area component plus allowable similar or dissimilar soils, or they can be geographic mixtures of groups of soils or soils and miscellaneous areas. The map unit symbol uniquely identifies each closed map unit delineation. Each symbol corresponds to a map unit name. The map unit key is used to link to information in the National Soil Information System tables. Map Unit Delineations are described by the National Soil Information System database. This attribute database gives the proportionate extent of the component soils and the properties for each soil. The database contains both estimated and measured data on the physical and chemical soil properties and soil interpretations for engineering, water management, recreation, agronomic, woodland, range, and wildlife uses of the soil. The National Soil Information System database contains static metadata. It documents the data structure and includes such information as what tables, columns, indexes, and relationships are defined as well as a variety of attributes of each of these database objects. Attributes include table and column descriptions and detailed domain information. The National Soil Information System database also contains a distribution metadata. It records the criteria used for selecting map units and components for inclusion in the set of distributed data. Special features are described in the feature table. It includes an area symbol, feature label, feature name, and feature description for each special and ad hoc feature in the survey area.
Soil Taxonomy: A basic system of soil classification for making and interpreting soil surveys. Agricultural Handbook 436, 1999, USDA, SCS. Keys to Soil Taxonomy (current issue), USDA, SCS. National Soil Survey Handbook, Title 430-VI, part 647 (current issue), USDA, NRCS. Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS.
Map Unit Delineations are closed polygons that may be dominated by a single soil or miscellaneous area component plus allowable similar or dissimilar soils, or they can be geographic mixtures of groups of soils or soils and miscellaneous areas. The map unit symbol uniquely identifies each closed map unit delineation. Each symbol corresponds to a map unit name. The map unit key is used to link to information in the National Soil Information System tables. Map Unit Delineations are described by the National Soil Information System database. This attribute database gives the proportionate extent of the component soils and the properties for each soil. The database contains both estimated and measured data on the physical and chemical soil properties and soil interpretations for engineering, water management, recreation, agronomic, woodland, range, and wildlife uses of the soil. The National Soil Information System database contains static metadata. It documents the data structure and includes such information as what tables, columns, indexes, and relationships are defined as well as a variety of attributes of each of these database objects. Attributes include table and column descriptions and detailed domain information. The National Soil Information System database also contains a distribution metadata. It records the criteria used for selecting map units and components for inclusion in the set of distributed data. Special features are described in the feature table. It includes an area symbol, feature label, feature name, and feature description for each special and ad hoc feature in the survey area.
Soil Taxonomy: A basic system of soil classification for making and interpreting soil surveys. Agricultural Handbook 436, 1999, USDA, SCS. Keys to Soil Taxonomy (current issue), USDA, SCS. National Soil Survey Handbook, Title 430-VI, part 647 (current issue), USDA, NRCS. Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS.