fract_grid

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator: Miller, D.A. and R.A. White
Publication_Date: 1998
Title:
fract_grid
Geospatial_Data_Presentation_Form: raster digital data
Online_Linkage: NA
Description:
Abstract:
This dataset contains the percent of sand, silt, and clay in the soil material which passes a No. 10 (2 mm) sieve for each of 11 standard soil layers for the 48 conterminous states. The values are derived from the State Soil Geographic (STATSGO) soils data compiled by the Natural Resources Conservation Service (NRCS) of the U.S. Department of Agriculture.

Frequently, climate and hydrology models require information about soil physical properties in the form of continous distributions rather than discrete classes. In the case of soil texture, the relative proportions of sand, silt, and clay provide an alternative to discrete texture classes.
Purpose:
For use with GEOSTAC database, this data set has been compiled to simplify pesticide risk assessment and provide a common data for all vested interests.
Supplemental_Information:
The information below was compiled from the following web page:
http://www.essc.psu.edu/soil_info/index.cgi?soil_data&conus&data_cov

Units of measurement
Soil fractions values are given as percents rounded to the nearest integer.

Overview
Frequently, climate and hydrology models require information about soil physical properties in the form of a continous distribution rather than discrete classes. In the case of soil texture, the relative proportions of sand, silt, and clay provides an alternative to discreet texture classes.

This dataset was created by using the texture class information to estimate the percents of sand, silt, and clay in the fine (less than 2 mm) fraction of each layer of each component for each STATSGO map unit, and interpolating the results to a set of 11 standard layers, and computing a weighted average of the values for all components of the map unit. The results for each of the 48 conterminous states (map units for the District of Columbia are included under Maryland) wre joined to create a single dataset.

To increase compatability with different types of data analysis software, the dataset is available in several different data file formats. These include both Arc/Info polygon format and a gridded version at 1 km resolution; the latter is available in both Arc/Info grid format and as a three-dimensional array of 8-bit binary integers. The description of dataset files provides additional details on formats, the data files asociated with each format, and instructions for file retrieval.

For the gridded version of the dataset, any 1-km grid cell which contains portions of two or more map units was assigned the soil fraction values of the map unit which occupies the largest fraction of the cell. For the Arc/Info grid version, the soil fraction percent value for each layer may be accessed using the map unit serial numbers associated with each STATSGO map unit; the soil fraction data have been incorporated into the Value Attribute Table (VAT) entry for each map unit.

This dataset is in the Albers equal area projection which was used by the NRCS for compiling the STATSGO data. Note that the same data are also available in alternative projections, including the Lambert azimuthal equal area projection used by the USGS and the EROS Data Center for a number of other datasets covering the 48 states, and in geographic (latitude/longitude) coordinates .
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: varies
Currentness_Reference:
publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: As needed
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -127.899809
East_Bounding_Coordinate: -65.346369
North_Bounding_Coordinate: 51.608722
South_Bounding_Coordinate: 22.939089
Keywords:
Theme:
Theme_Keyword_Thesaurus: REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
Theme_Keyword: STATSGO
Theme_Keyword: Sand Silt Clay Fraction
Theme_Keyword: 1 Kilometer
Theme_Keyword: Grid
Access_Constraints: None.
Use_Constraints:
For many STATSGO components, a depth-to-bedrock value of 60 inches (152 cm) was used to indicate that the soil was sampled only to this depth, and no bedrock was encountered. As a result, for many map units an entry of "bedrock" for the two lowest standard layers (1.5 to 2.5 m) may actually indicate "no data".
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Waterborne Environmental, Incorporated
Contact_Person: Spatial Technologies Group
Contact_Address:
Address_Type: mailing and physical address
Address:
897 B Harrison St SE
City: Leesburg
State_or_Province: VA
Postal_Code: 20175
Contact_Voice_Telephone: 703.777.0005
Data_Set_Credit:
Miller, D.A. and R.A. White, 1998: A Conterminous United States Multi-Layer Soil Characteristics Data Set for Regional Climate and Hydrology Modeling. Earth Interactions, 2. [Available on-line at http://EarthInteractions.org]

http://www.essc.psu.edu/soil_info/index.cgi?soil_data&conus&data_cov&ph
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 1; ESRI ArcCatalog 9.1.0.722
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Data_Quality_Information:
Lineage:
Process_Step:
Process_Description:
The volume percent of sand, silt, and clay in the soil fraction which passes a No. 10 (2 mm) sieve was estimated for each of 11 standard layers for each map unit of each state using the STATSGO Component and Layer tables.


Although the STATSGO database contains information on clay content and sieved samples on a component layer basis which could allow the subsequent determination of sand and silt fractions, preliminary examination of the database indicated that calculations based on these variables would not provide consistent results. Specifically, percentages of the sand, silt, and clay fractions should total to 100 percent of the soil material less than with particle sizes less than 2 mm. Initial calculuations using these variables from the STATSGO data for Pennsylvania revealed that the < 2 mm fractions rarely summed to 100 percent. Apparently, different laboratory methods are used to determine these values and no internal consistency checks are made within the soil characterization information that is used to build the STATSGO database. 

As an alternative, the USDA soil texture triangle, which gives the ranges of sand, silt, and clay percents for each of the 12 standard texture classes, was used to estimate the relative amounts of soil fractions by taking the values at the midpoint of the polygon which delimits each texture class. The STATSGO Layer table entries for each component use the TEXTURE1 variable for each layer to record the dominant rock fragment and texture class in a combined description (e.g. "extremely cobbly-sandy loam"). The Layer table also records the depth to the top and bottom of each layer. The Component table entries for each component of each map unit use the COMPPCT variable to record the approximate percent of the area of the map unit which is covered by that component; this table also reports the minimum and maximum depth to bedrock for the component.

Estimating the percentages of sand, silt, and clay in the less than 2 mm soil fraction for each of the 11 standard layers required four main steps: 
Translating the combined texture description in TEXTURE1 for each STATSGO component layer to a standard USDA texture triangle class.

Estimating the amount of sand, silt, and clay in the less than 2 mm soil fraction for each component layer.

Determining the contribution of each component layer to the 11 standard layers.

For each mapunit, combining the contributions of all components to determine the dominant texture class for each standard layer.

The translation from the combined texture description to one of the 12 standard USDA soil texture classes was carried out using a look-up table. Water, organic materials (peat, muck, etc.) and other non-soil surface materials cannot be placed in one of the 12 soil texture classes. These classes have been combined into "water", "organic material", and "other". A "bedrock" class was also introduced to indicate that the depth to bedrock entries in the Component table implied the presence of bedrock; as noted below, this is often misleading.
The relative amounts of sand, soil, and clay in the < 2 mm fraction of the component layer was then estimated using the following table: 

If the TEXTURE1 variable translated to a non-soil class other than water, (organic material, bedrock, or "other") the layer was assigned values of zero for all sand, silt, and clay. 
To determine the contribution of each component of a given map unit to the standard layers, the layers defined in the Layer table for the component were compared with each standard layer. If the standard layer was entirely included within one of the component layers, the sand, silt, and clay percentages for the TEXTURE1 value for the layer were multiplied by the COMPPCT value to determine the weighted contribution of the component to the standard layer. If the standard layer overlapped two or more component layers, the soil fraction percents for each component layer were first weighted in proportion to the amount of overlap before multiplication by the COMPPCT value.

When the Component table specified a mean depth-to-bedrock above the bottom of the lowest standard layer, the component was assumed to be composed of all rock below this layer unless a layer table entry explicitly specified a non-rock layer extending below this level. When the bottom of the deepest component layer was above mean bedrock, the layer was assumed to extend down to mean bedrock. For many components, a depth-to-bedrock of 60 inches (1.52 m) was used simply to indicate that the soil was not examined below this depth. As a result, the computed sand/silt/clay values for the two lowest standard layers (1.5 to 2.5 m) will be misleading, since in may cases rock does not actually occur at the specified depth.

After all components for a map unit were processed, the weighted contributions of each component were totalled for each standard layer. The percent of the map unit area covered by non-water components was determined. If the total of sand, silt, and clay percents for a standard layer was less than one-half this value, the sand, silt, and clay percentages were all set to zero for the layer. Otherwise, if the total of sand, silt, and clay was less than 100%, each value was divided by the total to make the new values add up to 100% before rounding.

The 11 standard layers are :

Layer     Thickness       Depth to Top    Depth to Bottom

1      5 cm (2 in)        0 cm (0 in)     5 cm (2 in)
2      5 cm (2 in)        5 cm (2 in)    10 cm (4 in)
3     10 cm (4 in)       10 cm (4 in)    20 cm (8 in)
4     10 cm (4 in)       20 cm (8 in)    30 cm (12 in)
5     10 cm (4 in)       30 cm (12 in)   40 cm (16 in)
6     20 cm (8 in)       40 cm (16 in)   60 cm (24 in)
7     20 cm (8 in)       60 cm (24 in)   80 cm (31 in)
8     20 cm (8 in)       80 cm (31 in)  100 cm (39 in)
9     50 cm (20 in)     100 cm (39 in)  150 cm (59 in)
10     50 cm (20 in)     150 cm (59 in)  200 cm (79 in)
11     50 cm (20 in)     200 cm (79 in)  250 cm (98 in)

The above selection of the number and depths of these standard layers reflects three main considerations:
The wide variation of numbers, thicknesses, and depths of layers for different components means that there are no "natural" or "obvious" choices for the standard layers.
Many models are particularly sensitive to the properties of the top few centimenters of soil; hence extra priority should be given to preserving all available information for this region.
To minimize data volumes, layer thicknesses should not be much less than the thicknesses of "typical" component layers at similar depths.
To aid in the selection of standard layers, therefore, the frequencies of depths and thicknesses of layers were tabulated for all components. This tabulation indicated that roughly 50% of components have surface layers thicker than 20 cm (8 inches); only about 4% of surface layers have a thickness of 5 cm (2 inches) or less, and about 16%, 10 cm (4 inches) or less. Deeper layers are in general thicker -- roughly 60% of all layers were at least 50 cm (20 inches) thick. The majority of components did not record layers extending below 60 inches (approximately 1.5 m); only about 10% include layers extending beyond 2.0 m (79 inches).
Process_Date: 1998
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Miller, D.A. and R.A. White
Process_Step:
Process_Description:
Source data was downloaded from http://www.essc.psu.edu/soil_info/index.cgi?soil_data&conus&citation and imported into ArcGRID file format
Process_Date: 10.2005
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Waterborne Environmental, Incorporated
Contact_Person: Spatial Technologies Group
Process_Step:
Process_Description:
Data set was projected to Albers Equal Area and referenced to the NAD83 datum.
Process_Date: 10.2005
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Waterborne Environmental, Incorporated
Contact_Person: Spatial Technologies Group
Process_Step:
Process_Description:
ArcINFO Command MERGEVAT applied to join Value Attribute Table from source data set to newly projected data set in order to capture all attributes.
Process_Date: 10.2005
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Waterborne Environmental, Incorporated
Contact_Person: Spatial Technologies Group
Process_Step:
Process_Description:
Metadata generated by referencing source data set documentation available at: http://www.essc.psu.edu/soil_info/index.cgi?soil_data&conus&data_cov.
Process_Date: 10.2005
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Waterborne Environmental, Incorporated
Contact_Person: Spatial Technologies Group
Process_Step:
Process_Description:
Dataset copied.
Source_Used_Citation_Abbreviation:
H:\FINAL_DVDS\InnerCore_Level_III\statsgo_derived_conus_soils_data\soil_fraction_data\fract_grid
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Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Grid Cell
Row_Count: 2896
Column_Count: 4615
Vertical_Count: 1
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Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Albers Conical Equal Area
Albers_Conical_Equal_Area:
Standard_Parallel: 29.500000
Standard_Parallel: 45.500000
Longitude_of_Central_Meridian: -96.000000
Latitude_of_Projection_Origin: 23.000000
False_Easting: 0.000000
False_Northing: 0.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 1000.000000
Ordinate_Resolution: 1000.000000
Planar_Distance_Units: meters
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
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Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: fract_grid
Attribute:
Attribute_Label: ObjectID
Attribute_Definition:
Internal feature number.
Attribute_Definition_Source:
ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Value
Attribute:
Attribute_Label: Count
Attribute:
Attribute_Label: Muid
Attribute:
Attribute_Label: Rockdepm
Attribute:
Attribute_Label: Sand_l1
Attribute:
Attribute_Label: Silt_l1
Attribute:
Attribute_Label: Clay_l1
Attribute:
Attribute_Label: Sand_l2
Attribute:
Attribute_Label: Silt_l2
Attribute:
Attribute_Label: Clay_l2
Attribute:
Attribute_Label: Sand_l3
Attribute:
Attribute_Label: Silt_l3
Attribute:
Attribute_Label: Clay_l3
Attribute:
Attribute_Label: Sand_l4
Attribute:
Attribute_Label: Silt_l4
Attribute:
Attribute_Label: Clay_l4
Attribute:
Attribute_Label: Sand_l5
Attribute:
Attribute_Label: Silt_l5
Attribute:
Attribute_Label: Clay_l5
Attribute:
Attribute_Label: Sand_l6
Attribute:
Attribute_Label: Silt_l6
Attribute:
Attribute_Label: Clay_l6
Attribute:
Attribute_Label: Sand_l7
Attribute:
Attribute_Label: Silt_l7
Attribute:
Attribute_Label: Clay_l7
Attribute:
Attribute_Label: Sand_l8
Attribute:
Attribute_Label: Silt_l8
Attribute:
Attribute_Label: Clay_l8
Attribute:
Attribute_Label: Sand_l9
Attribute:
Attribute_Label: Silt_l9
Attribute:
Attribute_Label: Clay_l9
Attribute:
Attribute_Label: Sand_l10
Attribute:
Attribute_Label: Silt_l10
Attribute:
Attribute_Label: Clay_l10
Attribute:
Attribute_Label: Sand_l11
Attribute:
Attribute_Label: Silt_l11
Attribute:
Attribute_Label: Clay_l11
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Texas A&M University, Spatial Sciences Laboratory
Contact_Person: Texas A&M University, Spatial Sciences Laboratory
Contact_Address:
Address_Type: mailing and physical address
Address:
1500 Research Parkway, Suite B223
City: College Station
State_or_Province: Texas
Postal_Code: 77845
Contact_Voice_Telephone: 979-862-7956
Resource_Description: Downloadable Data
Distribution_Liability:
None
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 5.785
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: www.geostac.org
Access_Instructions:
Registered user ID and password provided by the Spatial Sciences Laboratory.
Fees: None
Ordering_Instructions:
Data can be downloaded from www.geostac.org with a registered user ID and password provided by the Spatial Sciences Laboratory.
Turnaround: Not Applicable
Custom_Order_Process:
Not Applicable
Technical_Prerequisites:
GIS Capable
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Metadata_Reference_Information:
Metadata_Date: 20060227
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Waterborne Environmental, Incorporated
Contact_Person: Spatial Technologies Group
Contact_Address:
Address_Type: mailing and physical address
Address:
897 B Harrison Street SE
City: Leesburg
State_or_Province: VA
Postal_Code: 20175
Country: USA
Contact_Voice_Telephone: 703.777.0005
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Use_Constraints:
This metadata document is intended for use with the GEOSTAC database. It has been compiled by referencing the original data source supporting documentation (metadata not available for original, source data set). The source data and corresponding reference material can be found at: http://www.essc.psu.edu/soil_info/index.cgi?soil_data&conus
Metadata_Extensions:
Online_Linkage: http://www.esri.com/metadata/esriprof80.html
Profile_Name: ESRI Metadata Profile
Metadata_Extensions:
Online_Linkage: http://www.esri.com/metadata/esriprof80.html
Profile_Name: ESRI Metadata Profile
Metadata_Extensions:
Online_Linkage: http://www.esri.com/metadata/esriprof80.html
Profile_Name: ESRI Metadata Profile
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