For raster data: The digitized soil survey data is a digital product of the soil surveys of Nebraska. The field data was collected and published by Natural Resources Conservation Service and was digitized by the Nebraska Department of Natural Resources. It is based on 2 2/3 or 2 acre cell size and each county contains on the average 20-50 different soil symbols. See attached table 1 - col 2 acre vs 2 2/3 to find out which counties were based on a 2 2/3 or 2 acre cells size grid. For vector data: The soil survey data is a vectorized product of the soil surveys of Nebraska. The field data was collected and published by theNatural Resources Conservation Service and was vectorized by the Nebraska Department of Natural Resources. For Scotts Bluff county the data was based from 7 1/2 minute soil quad maps which are outlines of the soil polygons transferred to mylar. This county was scanned using a Tangent scanner then vectorized using Arc/Info 6.0. For Keith county again the data was based from 7 1/2 minute soil quad maps and scanned using a Tangent scanner but vectorized using LTPlus. For Banner county the data was taken from the sheets of the published soils survey. It was scanned on a Howtek scanner with MIPS 2.9 software and vectorized using MIPS 2.0 software. Each county contains on the average 20-50 differenct soils symbols. These are the only scanned counties.
The digitized or vectorized soil survey data can be used as a digital layer in various studies. (ie highly erodible land, leaching potential, soil loss, watershed etc)
For raster data: A transparent grid was placed over a county soil survey map by the DNR employees and data transferred manually. Results were key punched and processed on an IBM mainframe. Later the data was imported into Arc/Info best fitted and clipped to a county boundary extracted from the 1990 TIGER data. Due to originally printing on a line printer the transparent grid was based on 2 or 2 2/3 acre cells. For vector data: For Scotts Bluff county the 7 1/2 minute soil quad maps were scanned using the Tangent scanner. Registered, vectorized, edited, attributed, edgematched using Arc/Info 6.0 and then joined into one county coverage. Later the data was clipped to a county boundary extracted from the 1990 TIGER data. For Keith county the data was taken from 7 1/2 minute soil quad maps then scanned using a Tangent scanner. Then registered, vectorized, edited, attributed using LTPlus. It was then imported into Arc/Info 6.0 were it was edgematched and run through a series of error checking programs before it was clipped to the county boundary extracted from the 1990 TIGER data. For Banner county the data was taken from the sheets of the published soils survey. It was then scanned on a Howtek scanner using MIPS 2.9 software. Then it was registered, vectorized, edited, attributed, and edgematched using MIPS 2.9 software. Finally was imported into Arc/Info 6.0 were it was clipped to the county boundary extracted from the 1990 TIGER data.
ground condition
None, acknowledgement of the Nebraska Department of Natural Resources and Natural Resources Conservation Service would be appreciated in products derived from this data.
301 Centennial Mall South, P.O. Box 94676
For raster data: When the 2 2/3 or 2 acre transparent grid was overlaid on the county soil survey map and data transferred there was no allowance made for edge matching, rubber-sheeting or projection distortion found in the county soil survey map. The data was then keypunched. The keypunched soil codes were checked against a list of valid codes through a FORTRAN program on the IBM mainframe. Later data was transported to Arc/Info. Each county was best fitted to a county boundary extracted from the 1990 TIGER files and then clipped to match this boundary. For vector data: Of the 7 1/2 minute soil quad maps and the sheets of published soil survey there was no allowance made for edge matching, rubber-sheeting or projection distortion found in the original county soil survey maps. For all scanned counties after attributing several error checking programs were run using Arc/Info 6.0 ensuring there were no polygons left unattributed or polygons with wrong attributes.
For raster data: The soils codes were checked against a list of valid codes through a FORTRAN program on the IBM mainframe. All codes were valid. A map was generated and a 100% visual check was approved. For vector data: All scanned counties were checked several times through several error checking program in Arc/Info 6.0 to determine if there were any polygons left unattributed or polygons with wrong attributes.
For raster data: There were three methods for choosing the soil code and entering it in the 2 or 2 2/3 acre cell grid a. center point - the soil type in the center of the cell was used. b. predominant - the soil type that contained the largest area of the cell was used. c. island - the soil type was completely encircled within the cell, even though it might not be the dominant or center soil type of the cell, in order to capture the soil type they would enter this one. An example would be a small lake or pond labeled water. From our knowledge the most widely used method was combination of b and c. Method c being implemented whenever it occurred. For vector data: Since the soils data was drawn at a scale of 1:20,000 anything below 4 acres would have been incorporated into a larger polygon.
For raster data: medium to low - this data does not meet any standards For vector data: medium - this data does not meet any standards
For raster data: medium to low - this data does not meet any standards For vector data: medium - this data does not meet any standards
spatial and attribute information
For raster data: A 2 2/3 or 2 acre cell base transparent grid was overlaid onto the county soil survey. The 2 2/3 acre cell base was used in the beginning so maps could be printed on a 6 lines per inch printer. The 2 acre cell base was used later to accommodate printing maps on an 8 line per inch printer. A 2 character cell code was then transferred to sheets by townships. Each township was divided into four strips. The first 3 strips were constant in width, containing 30 cells each. The fourthstrip varies in width to accommodate narrow and odd townships. The fifth strip was added for a wide township. For an exact 6 mile township, the length of each strip was 96 cells deep. The county or township boundary is represented by '99' characters. Therefore, the first cell in the first strip would be '99' and the last cell in the fourth strip would be '99', resulting in the first and fourth strips having 31 cells each (not 30 cells) for a 6 mile wide township. The blank or filler spaces are represented by '00' characters. At the end of each 30 cell line was a reference to where the line laid in the county, a nrd number, county number, township, N for North, Range, E or W for East or West range, section, subsection, strip number and line number within the strip. After the county was transferred to sheets and visually edited, it was key punched and transferred to the IBM mainframe where the following programs were run. a. A program was run to check each 2 character soil code against a list of valid codes. b. Program run to check invalid line numbers which produced a table of the county showing the number of rows and cells in each strip in a township-range format. This was checked to make sure the correct number of cells and rows were in each strip of a township. c. A program was run to create a file in county map format from the county strip/township format. This county map format file was then imported into ARC/INFO 5.0 using erdassvf and gridpoly commands, in single precision. The soils coverage was then best fitted and clipped to a county bound coverage created from the 1990 TIGER data. This data is in Universal Transverse Mercator, zone 14, units meter, North American Datum 1927, Projection Clark 1866. This data was complete on the IBM mainframe in (table 1 - col Publ. Digitized Soil Survey Date). The county soil survey (the base map the data was transferred from) was published in (table 1 - col Publ. Soil Survey Date) representing ground conditions for published soil surveys (table 1 - col Soil Survey Ground Conditions). For vector data: For Scotts Bluff county the data was taken from 7 1/2 minute soil quad maps and were scanned using a Tangent Scanner. They were then registered, vectorized, edited, attributed and edgematched using Arc/Info 6.0. Later in Arc/Info 6.0 they were run through several error checking programs and joined into one county coverage. Then clipped to match the 1990 TIGER file county boundary. For Keith county the data was taken from 7 1/2 minute soil quad maps and scanned using a Tangent Scanner. They were then registered, vectorized, edited and attributed using LTPlus. It was then imported into Arc/Info 6.0 were it was edgematched and run through a series of error checking programs before it was clipped to the county boundary extracted from the 1990 TIGER data. For Banner county the data was taken from the sheets of the published soils survey. It was then scanned on a Howtek scanner using MIPS 2.9 software. Then it was registered, vectorized, edited, attributed and edgematched using MIPS 2.9 software. Finally it was imported into Arc/Info 6.0 were it was clipped to the county boundary extracted from the 1990 TIGER data.
301 Centennial Mall South, P.O. Box 94676
Internal feature number.
ESRI
Feature geometry.
ESRI
Area of feature in internal units squared.
ESRI
Perimeter of feature in internal units.
ESRI
Natural Resources Conservation Service soil symbol codes numbered 1-n. Used to transfer data from IBM mainframe to ARC/INFO.
Nebraska Department of Natural Resources
Used to transfer data from IBM mainframe to ARC/INF .
Nebraska Department of Natural Resources
Natural Resources Conservation Service soil symbol codes (up to 5 characters)
Natural Resources Conservation Service
Natural Resources Conservatin Service soil symbol codes (up to 5 character)
Natural Resources Conservation Service
Natural Resources Conservation Service soil symbol codes numbered 1-n. Used to transfer data from IBM mainframe to ARC/INFO.
Nebraska Department of Natural Resources
Natural Resources Conservatin Service soil symbol codes numbered 1-n. Used to transfer data from IBM mainframe to ARC/INFO.
Nebraska Department of Natural Resources
Natural Resources Conservation Service soil symbol codes (up to 5 characters)
Natural Resources Conservation Service
Natural Resources Conservatin Service soil symbol codes (up to 5 characters)
Natural Resources Conservation Service
Nebraska Department of Natural Resources 2 character soil code conversion from the Natural Resources Conservation Service 5 character soil symbol code (SCS-CODE). Necessary for initial coding of data.
Nebraska Department of Natural Resources
Natural Resources Conservatin Service soil symbol codes (up to 5 characters)
Natural Resources Conservation Service
The soil erodibility factor (K-FACTOR). It is the erosion rate per unit of erosion index for a specific soil in cultivated continuous fallow on a 9-percent slope 72.6 feet long.
Nebraska Field Office Technical Guide Section I-Erosion Prediction p. 5
The soil erodibility factor (K-FACTOR). It is the erosion rate per unit of erosion index for a specific soil in cultivated continuous fallow on a 9-percent slope 72.6 feet long.
Nebraska Field Office Technical Guide Section-Erosion Prediction p. 5
The slope length factor. It is the ratio of soil loss from the field slope length to that from a 72.6 foot length on the same soil type and gradient. Slope length is the distance from the point of origin of overland flow to (1) the point where the slope decreases to the extent that deposition begins or (2) the point where runoff enters a defined channel. This data is in feet.
Nebraska Field Office Technical Guide Section I-Erosion Prediction p. 5
The slope length factor. It is the ratio of soil loss from the field slope length to that from a 72.6 foot length on the same soil type and gradient. Slope length is the distance from the point of origin of overland flow to (1) the point where the slope decreases to the extent that deposition begins or (2) the point where runoff enters a defined channel. This data is in feet.
Nebraska Field Office Technical Guide Section I-Erosion Prediction p. 5
The slope-steepness factor. It is the ratio of soil loss from the field gradient to that from a 9-percent slope. The relation of soil loss to gradient is influenced by density of vegetal cover and by soil particle size.
Nebraska Field Office Technical Guide Section I-Erosion Prediction p. 5
The slope-steepness factor. It is the ratio of soil loss from the field gradient to that from a 9-percent slope. The relation of soil loss to gradient is influenced by density of vegetal cover and by soil particle size.
Nebraska Field Office Technical Guide Section I-Erosion Prediction p. 5
The description of the 5 character soil symbol code (scs-code).
Nebraska Department of Natural Resources
The description of the 5 character soil symbol code (scs-code).
The description of the 5 character soil symbol code (scs-code).
The soil loss tolerance (T-FACTOR) is an estimate of the maximum annual rate of soil erosion that can occur over a sustained period without affecting crop productivity. The rate is expressed in tons of soil loss per acre per year. Rates of 1 through 5 are used, depending upon soil properties and prior erosion. Soil loss tolerances were subjectively evaluated, based on the following general guides: - Maintenance of an adequate rooting depth for crop production. - Potential crop yield reduction. - Maintenance of water control structures affected by sedimentation. - Prevention of gullies. - Value of nutrients lost. Revisions on this data is presently going on, may not be up to date.
Nebraska Field Office Technical Guide Section I-Erosion Prediction pp. 4 and 5
The soil loss tolerance (T-FACTOR) is an estimate of the maximum annual rate of soil erosion that can occur over a sustained period without affecting crop productivity. The rate is expressed in tons of soil loss per acre per year. Rates of 1 through 5 are used, depending upon soil properties and prior erosion. Soil loss tolerances were subjectively evaluated, based on the following general guides: - Maintenance of an adequate rooting depth for crop production. - Potential crop yield reduction. - Maintenance of water control structures affected by sedimentation. - Prevention of gullies. - Value of nutrients lost. Revisions on this data is presently going on, may not be up to date.
Nebraska Field Office Technical Guide Section I-Erosion Prediction pp. 4 and 5
The basis for identifying highly erodible land is the erodibility index of a soil map unit. The erodibility index of a soil is determined by dividing the potential erodibility for each soil by the soil loss tolerance (T-FACTOR) value established for the soil. Revisions on this data is presently going on, may not be up to date.
Nebraska Field Office Technical Guide Section II-HEL Interpretations p. 1
- 1 Highly erodible land - 2 Potentially highly erodible land - 3 not highly erodible land - P Mathematically Potentially highly erodible land
Nebraska Field Office Technical Guide Section II- HEL Interpretations p. 2
A soil that is saturated, flooded, or ponded long enough during the growing season to develop anaerobic conditions in the upper part.
Nebraska Field Office Technical Guide Section II-Hydric soil Interpretations p. 1. Revisions on this data is presently going on, may not be up to date.
- 1 entire map unit is hydric - 2 partial map unit is hydric - 3 map unit not hydric
Nebraska Department of Natural Resources
The soils in each series were evaluated and placed into one of 14 groups called Irrigation Design Groups. Soils having approximately equal intake rates, available water capacities, and available root zone depths were placed together. Revisions are currently going on, this data may not be up to date.
Nebraska Irrigation Guide, April 1983 p. 691-3
See on-line link in Identification_Information <http://www.dnr.state.ne.us/databank/metadata/soil_legend.html>
Nebraska Irrigation Guide, April 1983 p. 681-17
Dry land capability class grouping shows, in a general way, the suitability of soils for most kinds of field crops. The soils are grouped according to their limitations when used for field crops, the risk of damage when they are so used, and the way they respond to treatment. Revisions on this data is presently going on, may not be up to date.
Soil survey of Adams county, Nebraska p. 33
See on-line link in Identification_Information <http://www.dnr.state.ne.us/databank/metadata/soil_legend.html>
Soil survey of Adams county, Nebraska p. 33
Irrigated land capability class grouping shows, in a general way, the suitability of soils for most kinds of field crops. The soils are grouped according to their limitations when used for field crops, the risk of damage when they are so used, and the way they respond to treatment. Revisions on this data is presently going on, may not be up to date.
Soil survey of Adams county, Nebraska p. 33
See on-line link in Identification_Information <http://www.dnr.state.ne.us/databank/metadata/soil_legend.html>
Soil survey of Adams county, Nebraska p. 33
301 Centennial Mall South, P.O. Box 94676
none
This data is in single precision format. After the data was put in ARC/INFO Export format, we compressed the data using PKZIP. However, upon request we will output it to another format if you are not able to use this one.
Spatial and attribute information
You can either order by leaving a message over the web site or call Nebraska Department of Natural Resources.
301 Centennial Mall South, P.O. Box 94676