Predictive soil property map: Fine sand content

These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...

Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Colorado River Basin above Hoover Dam, All tags... Hoover Dam, Nevada, New Mexico, Utah, Wyoming, accuracy and error estimated, available water capacity, bulk density, calcium carbonate, digital soil mapping, electrical conductivity, environmental conditions, environmental raster layers, erodibility, geoscientificInformation, gypsum, interpolate, machine learning, maps and atlases, organic matter, predicitve modeling, predictive mapping, predictive maps, random forest models, random forests, restrictive layer, rock, sodium adsorption ratio, soil conductivity, soil density, soil forming factors, soil pH, soil properties, soil property maps, soil sciences, soil texture, soils, surface rock cover, surface rock size, texture fractions, uncertainty, Fewer tags