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Soil Information Systems in the U.S.

Introduction
The Natural Resources Conservation Service (NRCS) U.S. Department of Agriculture has the federal responsibility
for the National Cooperative Soil Survey (NCSS) and federal leadership
for collecting, storing, maintaining, and distributing soils information
in the United States. The Federal Geographic Data Committee (FGDC) and the Office
of Management and Budget have formally assigned the responsibility for national
coordination of digital soils data to the NRCS. The NRCS has established
3 digital soil geographic data bases (NATSGO, STATSGO, and SSURGO)
representing different intensities of soil mapping. Common to each data base is
the linkage to a soil interpretation (attribute) record data base, which gives
the proportionate extent of the component soils and their properties for each
map unit. With these digital data bases, users can store, retrieve, analyze, and
display soil data in a highly efficient manner, as well as integrate the data
with other spatially referenced resources in a geographic information system
(GIS).
Three types of information are
included in soil information systems:
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Soil maps (polygons, data points)
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Tables of data (soil attribute information)
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Metadata (description of the soil data such as source of data, quality,
characteristics)
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National Soil Information System (NASIS)
NASIS
is designed to manage and maintain soil data from collection to
dissemination for the National Cooperative Soil Survey. It is a tool to
help create and maintain soil surveys. NASIS maintains the hierarchical
structure of soil survey data, through the use of table-oriented editors.
The requirements for NASIS are:
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Enable collectors of soil information to record efficiently their
actual observations of soils
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Flexible input
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Availability of detailed primary soil property data
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Dynamic updating
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Integrated systems
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Statements or measures of reliability of the data included
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NASIS supports soil survey in 3 ways:
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Support field operations to gather new information efficiently in
compliance with standards
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Apply expert knowledge to make information usable for an increasing
variety of purposes
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Make information readily available to meet the needs of a wide variety
of users
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NASIS has 3 types of geographic data bases:
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National Soil Geographic Data Base (NATSGO)
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State Soil Geographic Data Base (STATSGO)
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Soil Survey Geographic Data Base (SSURGO)
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National Soil Geographic Database (NATSGO)
NATSGO
is used primarily for national, regional, and multi-state resource
assessment, planning, and monitoring. The boundaries of the major land
resource area (MLRA) and land resource regions were used to form the NATSGO
data base. The MLRA boundaries were developed primarily from state general
soil maps. Map unit composition for NATSGO was determined by sampling done
as part of the 1982 National Resource Inventory. Sample data were expanded
for the MLRAs, with sample design being statistically significant to state
parts of the MLRAs. The NATSGO map was digitized at a scale of 1 : 750,000
and is distributed as a single data unit for the U.S. coverage.
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State Soil Geographic Database (STATSGO)
STATSGO
comprise state general soil maps made by generalizing the detailed
soil survey data. The level of mapping is designed to be used for broad
planning and management (county, state, regional, and national resource
planning).
STATSGO
is a digital general soil association map developed by the National
Cooperative Soil Survey. It consists of a broad based inventory of soils
and non-soil areas that occur in a repeatable pattern on the landscape and
that can be cartographically shown at the scale mapped. The soil maps for
STATSGO are compiled by generalizing more detailed soil survey maps. Where
more detailed soil survey maps are not available, data on geology, topography,
vegetation, and climate are assembled, together with Land Remote Sensing
Satellite (LANDSAT) images.
Map unit composition for a STATSGO map is determined by transecting or
sampling areas on the more detailed maps and expanding the data statistically
to characterize the whole map unit. The data set consists of georeferenced
digital map data and computerized attribute data. The map data are collected
in 1-by 2-degree topographic quadrangle units and merged and distributed
as statewide coverages. The soil map units are linked to attributes in
the Map Unit Interpretations Record relational data base which gives the
proportionate extent of the component soils and their properties.
Purpose: STATSGO depicts information about soil features on or near
the surface of the Earth. These data are collected as part of the National
Cooperative Soil Survey. STATSGO was designed primarily for regional,
multi-county, river basin, State, and multi-state resource planning, management,
and monitoring. STATSGO data are not detailed enough to make interpretations
at a county level. This soil survey product is not designed for use as
a primary regulatory tool in permitting or citing decisions, but may be
used as a reference source. The STATSGO database contains information on
map unit acreage and on the proportionate extent of the components in each
map unit. It also contains soil property and interpretation data for each
map unit component.
The approximate minimum area delineated is 625 hectares (1,544 acres),
which is represented on a 1:250,000-scale map by an area approximately
1 cm by 1 cm (0.4 inch by 0.4 inch). A scale of 1:250,000 means that 1 inch
on the map represents 4 miles in nature. The smallest map units are about
2.3 square miles in size. Linear delineations are not less than 0.5 cm
(0.2 inch) in width. The number of delineations per 1:250,000 quadrangle
typically is 100 to 200, but may range up to 400. Delineations depict the
dominant soils making up the landscape. Other dissimilar soils, too small
to be delineated, are present within a delineation.
Map Unit Delineations are closed polygons that are generally geographic
mixtures of groups of soils and nonsoil areas. The map unit ID uniquely
identifies each closed delineation, map unit. Each map unit ID is linked
to a map unit name. The map unit ID is also the key for linking information
in the Map Unit Interpretations Record tables. Map Unit Delineations are
described by the Map Unit Interpretations Record data base. This attribute
data base gives the proportionate extent of the component soils and the properties
for each soil. The data base 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 Soil Map Unit Interpretations Record data
base consist of the following relational tables:
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codes (data base codes) - stores information on all codes used in
the data base
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comp (map unit component) - stores information which will apply
to a specific component of a soil map unit
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compyld (component crop yield) - stores crop yield information for
soil map unit components
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forest (forest under story) - stores information for plant cover
as forest under story for soil map unit components
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interp (interpretation) - stores soil interpretation ratings (both
limitation ratings and suitability ratings) to soil map unit components
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layer (soil layer) - stores characteristics which apply to soil
layers for soil map unit components
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mapunit (map unit) - stores information which applies to all components
of a soil map unit
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plantcom (plant composition) - stores plant symbols and percent
of plant composition associated with components of soil map units
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plantnm (plant name) - stores the common and scientific names for
plants used in the data base
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rsprod (range site production) - stores range site production information
for soil map unit components
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taxclass (taxonomic classification) - stores the taxonomic classification
for soils in the data base
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windbrk (windbreak) - stores information on recommended windbreak
plants for soil map unit components
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wlhabit (wildlife habitat) - stores wildlife habitat information
for soil map unit components
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woodland (woodland) - store information on common indicator trees
for soil map unit components
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woodmgt (woodland management) - stores woodland management information
for soil map unit components
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yldunits (yield units) - stores crop names and the units
used to measure yield
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Soil Survey Geographic Database (SSURGO)
SSURGO
is the most detailed level of soil mapping done by the National
Resource Conservation Service (NRCS). Soil maps in the SSURGO data base
are made by field methods, using observations along soil delineation boundaries
and traverses and determining map unit composition by field transects. Aerial
photographs are interpreted and used as the field map base. Maps are made
at scales ranging from 1 : 15,840 to 1 : 31,680 (commonly 1:24,000). SSURGO data are collected
and archived in 7.5 minute topographic quadrangle units, and distributed
as complete coverage for a soil survey area usually consisting of 10 or
more quadrangle units. This data base is used primarily for farm and ranch
conservation planning; range and timber management; county planning; and
watershed resource planning and management. SSURGO can be also used to assess
land use potential and to identify potential wetland areas.
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Map Unit Interpretation Records (MUIR)
MUIR
data is a collection of soil and soil-related properties, interpretations,
and performance data for a soil survey and its map units, map unit components,
and component layers. It is a dataset which can be used at the regional
and national level.
MUIR data should be used in conjunction with soil survey maps. The soil
survey maps indicate the geographic location and extent of the soil map
units within the soil survey area. Mapping scales generally range from
1:12,000 to 1:31,680. The maps meet or exceed the national NRCS mapping
specifications. MUIR data is intended to be used by landowners, county
and local governments, and other natural resource managers for basic land
use planning. It is not intended to be used for site-specific land use suitability
determinations, such as approval, and sizing of septic tank absorption
fields.
Most MUIR data exists in the database
as a range of soil properties, depicting the range for the soil survey area.
Data is obtained from a combination of field observations, site descriptions and
transects, and laboratory analyses. In making the soil survey, soil scientists
observed landforms and landscape features, such as the steepness, length, and
shape of slopes; the general pattern of drainage; the kinds of crops and native
plants growing on the soils; and the kinds of bedrock. They observed and studied
many soil profiles. Samples of some of the soils in the area were collected for
laboratory analyses and for engineering tests. Soil boundaries were drawn on the
soil maps and a locally tailored MUIR data base was constructed, based on those
observations and the resulting landscape model the soil scientist developed.
Goal is to replace all MUIR data by
SSURGO. However, in some States MUIR are the only available digital soil data at
county scale.
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Soil Series
This database contains the taxonomic classification of each soil series
identified in the United States, along with other information about the
soil series such as office of responsibility, series status, dates of origin
and establishment, and geographic areas of usage. Information such as
soil texture, bulk density, available water capacity, soil reaction, and
organic matter is included for each major layer of the soil profile.
Web link: Official Soil Series
Description
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National Soil Characterization Database (NSSC)
This database currently contains analytical data for more than 24,000 pedons
of U.S. soils and about 1,100 pedons from other countries. The Soil Survey
Laboratory (SSL), National Soil Survey Center collected the data, which include
data that may or may not represent the central concept of a soil series or
map unit and pedons sampled to bracket a range of soil properties with series
or a landscape.
Web link:
NSSC
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