Filters: Tags: shrub (X) > partyWithName: U.S. Geological Survey (X) > Types: OGC WMS Service (X)

Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (3) OGC WFS Layer (3) OGC WMS Layer (3) Contacts Todd J Hawbaker U.S. Geological Survey, Southwest Region U.S. Geological Survey - ScienceBase Land Resources Geosciences and Environmental Change Science Center More... Categories Data (3) Tag Types Theme (3) Place (3) USGS Scientific Topic Keyword (3) Harvest Set (3) Tag Schemes None (3) Common geographic areas (1) ISO 19115 Topic Category (1) USGS Thesaurus (1) Alexandria Digital Library Feature Type Thesaurus (1) 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 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