Filters: Tags: random forests (X) > partyWithName: Ecosystems (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (2) OGC WFS Layer (2) OGC WMS Layer (2) OGC WMS Service (2) Contacts Travis W Nauman Lindsay V Reynolds Fort Collins Science Center Robert C Klinger U.S. Geological Survey - ScienceBase More... Tag Types Theme (3) Place (3) USGS Scientific Topic Keyword (2) Topics (1) Harvest Set (3) Mission Area (1) USGS Program (1) Tag Schemes None (2) USGS Thesaurus (2) Geographic Names Information System (GNIS) (2) USGS Biocomplexity Thesaurus (1) none (1) ISO 19115 Topic Category (1) FGDC (1) More... View Results as: JSON ATOM CSV

Fire Regimes in the Mojave Desert (1972-2010) This U.S. Geological Survey data release consists of 3 raster datasets representing estimates of probability of ignition (ProbIgnitPredict.tif), fire frequency (FrequencyPredictRF.tif), and burn severity (dNBRPredictRF.tif) in the Mojave Desert from 1984 to 2010. The data include: (1) A shapefile of the Mojave Desert that was used as our study area boundary (MojaveEcoregion_TNS_UTM83.shp). The original shapefile was obtained from NatureServe in 2009; (2) Three Tagged-Interchange Format (TIF) raster datasets representing probability of ignition, fire frequency, and burn severity. Resolution equals 30 meters, projection equals UTM Zone 11N. These data support the following publication: Klinger, R., Underwood, E.C.,... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ecology, Environmental Health, Mojave Desert, Remote Sensing, USGS Science Data Catalog (SDC), All tags... biota, burn severity, co-occurence invasives, desert ecosystems, ecosystems, environmental gradients, field methods, fire disturbance, fire frequency, fires, geographic gradients, geographic information systems, grass-fire cycle, habitat alteration, ignition, imageryBaseMapsEarthCover, invasive plant species, invasive species, machine learning, maximum entropy, plants (organisms), random forests, remote sensing, spatial dynamics, vegetation, 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 Modeled Streamflow Metrics on Small, Ungaged Stream Reaches in the Upper Colorado River Basin: Data Modeling streamflow is an important approach for understanding landscape-scale drivers of flow and estimating flows where there are no streamgage records. In this study conducted by the U.S. Geological Survey in cooperation with Colorado State University, the objectives were to model streamflow metrics on small, ungaged streams in the Upper Colorado River Basin and identify streams that are potentially threatened with becoming intermittent under drier climate conditions. The Upper Colorado River Basin is a region that is critical for water resources and also projected to experience large future climate shifts toward a drying climate. A random forest modeling approach was used to model the relationship between streamflow... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Ecosystems, Fisheries, Streamflow, USGS Science Data Catalog (SDC), Upper Colorado River Basin, All tags... Upper Colorado River Basin, random forests, random forests, streamflow, streamflow modeling, streamflow modeling, ungaged streams, ungaged streams, Fewer tags