Filters: Tags: Soil Sciences (X) > partyWithName: Travis W Nauman (X)

Filters Date Range Past year (3) Past month (1) Past week (0) Past day (0) Custom range... To   Search Contacts U.S. Geological Survey U.S. Geological Survey - ScienceBase Michael C Duniway Southwest Biological Science Center Michael C Duniway Ecosystems Categories Data (1) Tag Types Theme (20) Place (20) USGS Scientific Topic Keyword (3) Harvest Set (3) Tag Schemes None (20) Geographic Names Information System (GNIS) (20) USGS Biocomplexity Thesaurus (18) USGS Thesaurus (20) ISO 19115 Topic Categories (20) USGS information products (1) View Results as: JSON ATOM CSV

Predictive soil property map: Sodium adsorption ratio 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 Predictive soil property map: Very 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 Predictive soil property map: Organic matter 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 Predictive soil property map: Rock content (>2mm) 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 Predictive soil property map: Gypsum 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 Predictive soil property map: Clay 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 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 Predictive soil property map: Bulk density (oven dry) 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 Salinity yield modeling spatial data for the Upper Colorado River Basin, USA These data (vector and raster) were compiled for spatial modeling of salinity yield sources in the Upper Colorado River Basin (UCRB) and describe different scales of watersheds in the Upper Colorado River Basin (UCRB) for use in salinity yield modeling. Salinity yield refers to how much dissolved salts are picked up in surface waters that could be expected to be measured at the watershed outlet point annually. The vector polygons are small catchments developed originally for use in SPARROW modeling that break up the UCRB into 10,789 catchments linked together through a synthetic stream network. The catchments were used for a machine learning based salinity model and attributed with the new results in these vector... Tags: Arizona, Colorado, Colorado River, Colorado River Basin, Ecology, All tags... Geography, Green River, Information Sciences, New Mexico, Remote Sensing, Soil Sciences, USGS Science Data Catalog (SDC), Upper Colorado River Basin, Utah, Water Quality, Wyoming, biota, catchments, digital soil mapping, dissolved solids, erosion, irrigation, load, salinity, salinity model, salinity yield, soil mapping, soil sciences, spatial modeling, water quality, yield, Fewer tags Predictive soil property map: Depth to top of first restrictive layer 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 Predictive soil property maps with prediction uncertainty at 30-meter resolution for the Colorado River Basin above Lake Mead 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... Ecology, Geography, Hoover Dam, Information Sciences, Nevada, New Mexico, Soil Sciences, USGS Science Data Catalog (SDC), 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 Predictive soil property map: Soil pH 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 Predictive soil property map: 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 Predictive soil property map: Available water holding capacity 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 Aeolian mass flux data for the Colorado Plateau These data were compiled to measure airborne horizontal mass flux of sediments moved by wind across soils, climates, vegetation types, and land uses on the Colorado Plateau. Objectives of our study were to quantify spatial and temporal patterns in wind erosion and further our understanding of how soil and site setting, climate, and land uses are controlling wind erosion and horizontal mass flux. These data represent seasonal cumulative horizontal mass flux as measured using passive aspirated sediment traps, Big Spring Number Eight (BSNE) samplers. These data were collected in Grand and San Juan counties, Utah, and Mesa County, Colorado, USA between August 2017 and November 2020. These data were collected by the... Categories: Data; Tags: Bears Ears National Monument, Big Springs Number Eight samplers, Canyonlands National Park, Climatology, Colorado Plateau, All tags... Ecology, GPS measurement, Geography, Grand County, Information Sciences, Moab, San Juan County, Soil Sciences, Southwestern United States, USGS Science Data Catalog (SDC), Utah, atmospheric deposition (chemical & particulate), biogegraphy, data release, disturbance, droughts, drylands, dust, energy development, environment, field sampling, geolocation measurement, geoscientificInformation, grazing, habitat alteration and disturbance, horizontal mass flux, laboratory methods, land use and land cover, livestock, oil and gas, plot sampling, seasonal data, sediment processing, sediment transport, sedimentation, sediments, spatial analysis, spatial data, spatial patterns, temporal data, temporal patterns, unconsolidated deposits, utilitiesCommunication, wind erosion, Fewer tags Predictive soil property map: Calcium carbonate 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 Predictive soil property map: Electrical conductivity (salinity) 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 Predictive soil property map: Silt 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 Predictive soil property map: Surface rock 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 Predictive soil property map: Erodability 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