Depth to Restrictive Description

This raster represents the restrictive layer depth, which is a subset of the Soil Landscapes of the United States (SOLUS) (description in section below). A "restrictive layer" is a nearly continuous layer that has one or more physical, chemical, or thermal properties that significantly impede the movement of water and air through the soil or that restrict roots or otherwise provide an unfavorable root environment. Examples are bedrock, cemented layers, dense layers, and frozen layers. This theme presents the depth to bedrock as described in each map unit. If no restrictive layer is described in a map unit, it is represented by the "> 150" depth class. This attribute is actually recorded as three separate values in the database. A low value and a high value indicate the range of this attribute for the soil component. A "representative" value indicates the expected value of this attribute for the component. For this soil property, only the representative value is used. Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/

This raster was downloaded from USDA NRCS on 6/11/2025 from https://storage.googleapis.com/solus100pub/index.html.

File name: resdept_all_cm_p.tif

Property: resdept all_cm

Depth: all_cm_p.tif

File type: Prediction

Scalar: 1

Description: Depth to restriction

Unis: cm

URL: https://storage.googleapis.com/solus100pub/resdept

Disclaimers for Use for Stormwater BMP Infiltration Infeasibility Review

SOLUS provides a rough estimate of restrictive layer probability and depth as a screening prior to site-specific investigations.

Values over 200 cm: Measurements of 200 cm or above in the Value field should not be used since the SOLUS project could resolve restrictive layers deeper than that. These values should be displayed as blank or 'no data'.

Value_Ft field: The Value_Ft field contains the original depth Value (measured in centimeters) converted to feet. The Value_Ft was derived by dividing the centimeter values in the Value field by 30.48. Due to rounding that occurred during this conversion, Value_Ft values do not represent the resolution of the data from the original authoritative source and any citations of data derived from the Value_Ft field should reference this calculation performed by Thurston County. Values from the Value_Ft field should be rounded to the nearest tenth of a foot so as not to risk overstating the precision.

For questions or additional information, please contact the County Hydrogeologist.

SOLUS100 Metadata Description

Soil Landscapes of the United States (SOLUS) is a national map product developed by the National Cooperative Soil Survey and focused on providing a consistent set of spatially continuous soil property maps to support large scope soil investigations and land use decisions. SOLUS maps use continuous property mapping, which predicts soil physical or chemical properties in horizontal and vertical dimensions. The soil properties are represented across a continuous range of values. Raster datasets of select soil properties can be predicted at specified depths or depth intervals.

SOLUS maps use a digital soil mapping framework that combines multiple sources of soil survey data with environmental covariate data and machine learning. The SOLUS100 maps are a set of 100m spatial resolution maps that predict 20 soil properties (listed below with units) at seven depths with uncertainty estimates for the contiguous United States.

1. Very Fine Sand (%)

2. Fine Sand (%)

3. Medium Sand (%)

4. Coarse Sand (%)

5. Very Coarse Sand (%)

6. Total Sand (%)

7. Silt (%)

8. Clay (%)

9. pH

10. Soil Organic Carbon (%)

11. Calcium Carbonate Equivalent (%)

12. Gypsum Content (% by weight)

13. Electrical Conductivity (mmhos/cm)

14. Sodium Adsorption Ratio

15. Cation Exchange Capacity (meq/100g)

16. Effective Cation Exchange Capacity (meq/100g)

17. Oven Dry Bulk Density (g/cm^3)

18. Depth to Bedrock (cm)

19. Depth to Restriction (cm)

20. Rock Fragment Volume (%)

Each property listed above is predicted at 0, 5, 15, 30, 60, 100, and 150cm depths. Each property-depth prediction has an estimate of uncertainty expressed as the relative prediction interval (RPI) that ranges from 0 to 1. RPI is a relative measure of uncertainty with high values being more uncertain. It is computed as the ratio of the 95% PI width to the training set 95% quantile width (97.5% quantile value - 2.5% quantile value). Values closer to 0 indicate lower uncertainty and values closer to 1 indicate higher uncertainty. Values greater than 1 indicate that the prediction at that location is outside the range of the training data used for that property at that depth. Prediction interval high and low are also provided. Property prediction and uncertainty layers follow the naming convention:

1. propertyname_depth_cm_p (predicted property values)

2. propertyname_depth_cm_rpi (relative prediction interval)

3. propertyname_depth_cm_l (prediction interval low)

4. propertyname_depth_cm_h (prediction interval high)

5. A table with layer filename, property, depth, filetype, scalar, description, and units is included with the maps: Final_Layer_Table_20231215.csv

Details on background, methodology, accuracy, uncertainty, and other results and discussion of SOLUS100 maps are available at SOLUS100 Ag Data Commons Repository and in the following publication:

Nauman, T. W., Kienast-Brown, S., Roecker, S. M., Brungard, C., White, D., Philippe, J., & Thompson, J. A. (2024). Soil landscapes of the United States (SOLUS): developing predictive soil property maps of the conterminous United States using hybrid training sets. Soil Science Society of America Journal, 1–20. https://doi.org/10.1002/saj2.20769

Soil Survey Staff. Soil Landscapes of the United States. United States Department of Agriculture, Natural Resources Conservation Service. Available online at storage.googleapis.com/solus100pub/index.html. May 22, 2024 (2024 official release).

Depth to Restrictive Description

This raster represents the restrictive layer depth, which is a subset of the Soil Landscapes of the United States (SOLUS) (description in section below). A "restrictive layer" is a nearly continuous layer that has one or more physical, chemical, or thermal properties that significantly impede the movement of water and air through the soil or that restrict roots or otherwise provide an unfavorable root environment. Examples are bedrock, cemented layers, dense layers, and frozen layers. This theme presents the depth to bedrock as described in each map unit. If no restrictive layer is described in a map unit, it is represented by the "> 150" depth class. This attribute is actually recorded as three separate values in the database. A low value and a high value indicate the range of this attribute for the soil component. A "representative" value indicates the expected value of this attribute for the component. For this soil property, only the representative value is used. Soil Survey Staff, Natural Resources Conservation Service, United States Department of Agriculture. Web Soil Survey. Available online at http://websoilsurvey.nrcs.usda.gov/

This raster was downloaded from USDA NRCS on 6/11/2025 from https://storage.googleapis.com/solus100pub/index.html.

File name: resdept_all_cm_p.tif

Property: resdept all_cm

Depth: all_cm_p.tif

File type: Prediction

Scalar: 1

Description: Depth to restriction

Unis: cm

URL: https://storage.googleapis.com/solus100pub/resdept

Disclaimers for Use for Stormwater BMP Infiltration Infeasibility Review

SOLUS provides a rough estimate of restrictive layer probability and depth as a screening prior to site-specific investigations.

Values over 200 cm: Measurements of 200 cm or above in the Value field should not be used since the SOLUS project could resolve restrictive layers deeper than that. These values should be displayed as blank or 'no data'.

Value_Ft field: The Value_Ft field contains the original depth Value (measured in centimeters) converted to feet. The Value_Ft was derived by dividing the centimeter values in the Value field by 30.48. Due to rounding that occurred during this conversion, Value_Ft values do not represent the resolution of the data from the original authoritative source and any citations of data derived from the Value_Ft field should reference this calculation performed by Thurston County. Values from the Value_Ft field should be rounded to the nearest tenth of a foot so as not to risk overstating the precision.

For questions or additional information, please contact the County Hydrogeologist.

SOLUS100 Metadata Description

Soil Landscapes of the United States (SOLUS) is a national map product developed by the National Cooperative Soil Survey and focused on providing a consistent set of spatially continuous soil property maps to support large scope soil investigations and land use decisions. SOLUS maps use continuous property mapping, which predicts soil physical or chemical properties in horizontal and vertical dimensions. The soil properties are represented across a continuous range of values. Raster datasets of select soil properties can be predicted at specified depths or depth intervals.

SOLUS maps use a digital soil mapping framework that combines multiple sources of soil survey data with environmental covariate data and machine learning. The SOLUS100 maps are a set of 100m spatial resolution maps that predict 20 soil properties (listed below with units) at seven depths with uncertainty estimates for the contiguous United States.

1. Very Fine Sand (%)

2. Fine Sand (%)

3. Medium Sand (%)

4. Coarse Sand (%)

5. Very Coarse Sand (%)

6. Total Sand (%)

7. Silt (%)

8. Clay (%)

9. pH

10. Soil Organic Carbon (%)

11. Calcium Carbonate Equivalent (%)

12. Gypsum Content (% by weight)

13. Electrical Conductivity (mmhos/cm)

14. Sodium Adsorption Ratio

15. Cation Exchange Capacity (meq/100g)

16. Effective Cation Exchange Capacity (meq/100g)

17. Oven Dry Bulk Density (g/cm^3)

18. Depth to Bedrock (cm)

19. Depth to Restriction (cm)

20. Rock Fragment Volume (%)

Each property listed above is predicted at 0, 5, 15, 30, 60, 100, and 150cm depths. Each property-depth prediction has an estimate of uncertainty expressed as the relative prediction interval (RPI) that ranges from 0 to 1. RPI is a relative measure of uncertainty with high values being more uncertain. It is computed as the ratio of the 95% PI width to the training set 95% quantile width (97.5% quantile value - 2.5% quantile value). Values closer to 0 indicate lower uncertainty and values closer to 1 indicate higher uncertainty. Values greater than 1 indicate that the prediction at that location is outside the range of the training data used for that property at that depth. Prediction interval high and low are also provided. Property prediction and uncertainty layers follow the naming convention:

1. propertyname_depth_cm_p (predicted property values)

2. propertyname_depth_cm_rpi (relative prediction interval)

3. propertyname_depth_cm_l (prediction interval low)

4. propertyname_depth_cm_h (prediction interval high)

5. A table with layer filename, property, depth, filetype, scalar, description, and units is included with the maps: Final_Layer_Table_20231215.csv

Details on background, methodology, accuracy, uncertainty, and other results and discussion of SOLUS100 maps are available at SOLUS100 Ag Data Commons Repository and in the following publication:

Nauman, T. W., Kienast-Brown, S., Roecker, S. M., Brungard, C., White, D., Philippe, J., & Thompson, J. A. (2024). Soil landscapes of the United States (SOLUS): developing predictive soil property maps of the conterminous United States using hybrid training sets. Soil Science Society of America Journal, 1–20. https://doi.org/10.1002/saj2.20769

Soil Survey Staff. Soil Landscapes of the United States. United States Department of Agriculture, Natural Resources Conservation Service. Available online at storage.googleapis.com/solus100pub/index.html. May 22, 2024 (2024 official release).