Filters: Tags: SoilGRIDs (X) > partyWithName: U.S. Geological Survey (X)
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A raster dataset representing the soil organic carbon content of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Soil organic carbon is a readily component of soil organic matter, which plays an important role the functioning of soils, including formation of soil structure, soil nutrient content, soil moisture retention, and carbon sequestration. Soil carbon content here is measured as percent by mass. This dataset was created using the soil percent organic carbon 100 m spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan et al. (2018). The average soil organic carbon over the top 15 cm was calculated using the trapezoidal rule, and then put into...
A raster dataset representing slope in the conterminous United States. This dataset was created from the radian slope raster of 100-meter spatial resolution developed by Ramcharan et al. (2018). Those data were derived from a conterminous 100-m Digital Elevation Model (DEM) for the United States (http://nationalmap.gov/) using SAGA GIS software. Slope values are put into 9 slope classes to facilitate interpretation and reporting. Ramcharan, A., Hengl, T., Nauman, T., Brungard, C., Waltman, S., Wills, S., and Thompson, J., 2018, Soil Property and Class Maps of the Conterminous United States at 100-Meter Spatial Resolution: Soil Science Society of America Journal, v. 82, p. 186-201. http://dx.doi.org/10.2136/sssaj2017.04.0122.
A raster dataset representing the electric conductivity (EC) of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Increasing soil EC is correlated with increasing soil salt content which is referred to as soil salinity. High levels of soil salinity can only be tolerated by salt-tolerant plants, can interfere with the growth of non-salt tolerant plants, and make reclamation or restoration challenging. This dataset was created using the soil electric conductivity 100-meter spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan (et al. 2018). The average soil EC over the top 15 cm in dS/m was calculated using the trapezoidal rule, and then put into 7...
A raster dataset representing the clay content of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Soil texture, which is described by the proportion of sand, silt, and clay in the non-rock portion of the soil (soil particles < 2mm), is an important determinate of plant suitability, water movement into the soil, erosion vulnerability, and many other things. Clays are the finest soil particle size class and includes soil particles less than 0.002 mm in diameter. This dataset was created using the percent clay 100-meter spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan et al. (2018). The average percent clay over the top 15 cm was calculated using...
A raster dataset representing the sand content of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Soil texture, which is described by the proportion of sand, silt, and clay in the non-rock portion of the soil (soil particles < 2mm), is an important determinate of plant suitability, water movement into the soil, erosion vulnerability, and many other things. Sand includes soil particles between 0.05 and 2.0 mm in diameter. This dataset was created using the percent sand 100-meter spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan et al. (2018). The average percent sand over the top 15 cm was calculated using the trapezoidal rule, and then put into...
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