Filters: Tags: shrub (X) > partyWithName: U.S. Geological Survey (X) > Categories: Data (X)

Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Raster (1) Types Map Service (4) OGC WFS Layer (3) OGC WMS Layer (3) OGC WMS Service (3) Downloadable (2) GeoTIFF (1) Raster (1) Contacts Todd J Hawbaker U.S. Geological Survey - ScienceBase Earth Resources Observation and Science (EROS) Center U.S. Geological Survey, Southwest Region Stephen Boyte More... Tag Types Place (5) Theme (5) USGS Scientific Topic Keyword (4) Harvest Set (5) Tag Schemes None (5) Common geographic areas (3) Alexandria Digital Library Feature Type Thesaurus (2) ISO 19115 Topic Category (3) Data (1) Ecosystem (1) Technique (1) More... View Results as: JSON ATOM CSV

Great Dismal Swamp field measurements for aboveground and belowground biomass Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and Dismal Swamp State Park in North Carolina and Virginia. Data were collected at 85 plots. The location of the center of each plot was recorded with a Trimble ProXH global positioning system (GPS) and differentially corrected. Data files included 1: GDS_plots.csv, 2. GDS_FWD.csv, 3. GDS_LWD.csv, 4. GDS_Shrubs.csv, 5. GDS_Trees.csv, and 6. GDS_plot_summaries.csv. The data contained in GDS_plot_summaries.csv were calculated from the GDS_plots.csv, GDS_FWD.csv, GDS_LWD.csv, GDS_Shrubs.csv, GDS_Trees.csv files using the R statistical software environment (R Core... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Biomass, Botany, Cover, Duff, Ecology, All tags... Forestry, Great Dismal Swamp, Height, Herbaceous, Litter, North Carolina, Peat, Shrub, Soil Sciences, Tree, USGS Science Data Catalog (SDC), United States, Vegetation, Virginia, Fewer tags Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands Western U.S. rangelands have been quantified as six fractional cover (0-100%) components over the Landsat archive (1985-2018) at 30-m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. We leverage field data observed concurrently with HRS imagery over multiple years and locations in the Western U.S. to dramatically expand the spatial extent and sample size of validation analysis relative to a direct comparison to field observations and to previous work. We compare HRS and BIT data in the corresponding space and time. Our objectives were to evaluate the temporal and spatio-temporal relationships between HRS and BIT data, and to compare... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Central Basin and Range, Land Use Change, MT, Montana, NV, All tags... Nevada, Northern Basin and Range, Northwestern Great Plains, Southern Rockies, USGS Science Data Catalog (SDC), United States, WY, Wyoming, Wyoming Basin, annual herbaceous, back-in-time, bare ground, big sagebrush, biota, environment, fractional components, geoscientificInformation, grass, herbaceous, imageryBaseMapsEarthCover, litter, rangelands, remote sensing, sagebrush, shrub, shrubland, shrubland ecosystems, shrublands, terrestrial ecosystems, time-series, validation, vegetation, Fewer tags Using Targeted Training Data to Develop Site Potential for the Upper Colorado River Basin from 2000 - 2018 Defining site potential for an area establishes its possible long-term vegetation growth productivity in a relatively undisturbed state, providing a realistic reference point for ecosystem performance. Modeling and mapping site potential helps to measure and identify naturally occurring variations on the landscape as opposed to variations caused by land management activities or disturbances (Rigge et al. 2020). We integrated remotely sensed data (250-m enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) (https://earthexplorer.usgs.gov/)) with land cover, biogeophysical (i.e., soils, topography) and climate data into regression-tree software (Cubist®). We... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Arid, Arizona, Colorado, Ecology, Geography, All tags... Grass, LCMAP, Land Cover Monitoring Assessment & Projection, MTBS, Machine learning, Modeling, Monitoring Trends in Burn Severity, NLCD, National Land Cover Database, New Mexico, POLARIS Soils, PRISM Normals (1981 - 2010), Rangeland, Regression tree, Remote Sensing, Semiarid, Shrub, Spatial analysis, USGS Science Data Catalog (SDC), United States, Upper Colorado River Basin, Utah, West, Wyoming, geoscientificInformation, western United States, Fewer tags Rangeland Condition Monitoring Assessment and Projection (RCMAP) Fractional Component Time-Series Across the Western U.S. 1985-2020 The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2020. The RCMAP product suite consists of eight fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub and rule-based error maps including the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. We used an updated version of the 2016 base training data, with a more aggressive forest mask and reduced shrub and sagebrush cover bias in pinyon-juniper woodlands. We pooled training data in areas... Categories: Data; Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags... CA, CO, California, Chihuahuan, Chihuahuan Desert, Colorado, Colorado Plateau, Columbia Plateau, Desert, Grand Canyon, Great Basin, Gunnison, ID, Idaho, MT, Mediterranean California, Middle Rockies, Mojave, Montana, ND, NE, NM, NV, Nebraska, Nevada, New Mexico, North Dakota, North Plains, Northern Great Plains, Northern Great Salt Lake Desert, Northern Mountainous, Northern Rocky Mountains, OR, Oregon, Plains, Plateau, Rocky Mountains, SD, Sierra Nevada, Sonoran, Sonoran Desert, South Dakota, Southern Great Salt Lake Desert, Southern Rocky Mountains, Southwest Tablelands, TX, Texas, The Rockies, Three Forks, USGS Science Data Catalog (SDC), UT, United States, Utah, WA, WY, Wasatch, Washington, Western US, Wyoming, Wyoming Basin, Yellowstone, annual herbaceous, back-in-time, bare ground, big sagebrush, biota, climate change, environment, geoscientificInformation, grass, grassland change, herbaceous, imageryBaseMapsEarthCover, litter, mts, rangeland, rangeland management, sagebrush, shrub, shrubland, shrubland change, shrubland ecosystems, shrublands, terrestrial ecosystems, time series, trends, vegetation, vegetation change, Fewer tags Provisional Remote Sensing Sagebrush Habitat Quantification Products (USGS) for Wyoming 30 meter Sagebrush ecosystems in North America have experienced extensive degradation since European settlement, and continue to further degrade from exotic invasive plants, greater fire frequency, intensive grazing practices, increased oil and gas development, climate change, and other factors. Remote sensing is often identified as a key information source to facilitate broad-area ecosystem-wide characterization, monitoring and analysis, however, approaches that characterize sagebrush with sufficient and accurate local detail across large areas to support ecosystem research and analysis are unavailable. ?We have developed a new remote sensing sagebrush ecosystem characterization approach for the state of Wyoming, U.S.A.... Categories: Data; Types: Downloadable; Tags: Albany, Big Horn, Campbell, Carbon, Converse, All tags... Crook, Fremont, Goshen, Hot Springs, Johnson, Laramie, Lincoln, National Standards for Spatial Digital Accuracy (NSSDA), Natrona, Niaroba, Park, Platte, Sagebrush Rangeland, Sheridan, State of Wyoming, Sublette, Sweetwater, Teton, U.S. Geological Survey, USGS, Uinta, WY, Washakie, Weston, Wyomingensis, bare ground, digital spatial data, herbaceous, imageryBaseMapsEarthCover, litter, sagebrush, shrub, Fewer tags Great Dismal Swamp field measurements for aboveground and belowground biomass Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and Dismal Swamp State Park in North Carolina and Virginia. Data were collected at 85 plots. The location of the center of each plot was recorded with a Trimble ProXH global positioning system (GPS) and differentially corrected. Data files included 1: GDS_plots.csv, 2. GDS_FWD.csv, 3. GDS_LWD.csv, 4. GDS_Shrubs.csv, 5. GDS_Trees.csv, and 6. GDS_plot_summaries.csv. The data contained in GDS_plot_summaries.csv were calculated from the GDS_plots.csv, GDS_FWD.csv, GDS_LWD.csv, GDS_Shrubs.csv, GDS_Trees.csv files using the R statistical software environment (R Core... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Biomass, Botany, Cover, Duff, Ecology, All tags... Forestry, Great Dismal Swamp, Height, Herbaceous, Litter, North Carolina, Peat, Shrub, Soil Sciences, Tree, USGS Science Data Catalog (SDC), United States, Vegetation, Virginia, Fewer tags