Filters: Tags: long-term monitoring (X) > partyWithName: U.S. Geological Survey (X)

Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types ScienceBase Information Article (2) Contacts Collin Homer Emily C Palmquist U.S. Geological Survey - ScienceBase Cameron Aldridge George Z Xian More... Categories Data (1) Tag Types Theme (2) Place (2) USGS Scientific Topic Keyword (2) Harvest Set (2) Tag Schemes None (2) USGS Thesaurus (2) Geographic Names Information System (GNIS) (1) Common geographic areas (1) ISO 19115 Topic Categories (1) Marine Realms Information Bank (MRIB) keywords (1) ISO 19115 Topic Category (1) More... View Results as: JSON ATOM CSV

Long-term field observation of shrubland ecosystem in Wyoming, USA from 2008-2018 The importance of monitoring shrublands to detect and understand changes through time is increasingly recognized as critical to management. This dataset focuses on ecological change observation over ten years of field observation at 134 plots within two sites that are located in Southwestern of Wyoming, USA from 2008-2018. At sites 1 and 3, 134 long-term field observation plots were measured annually from 2008 to 2018. General plot locations were selected in 2006 using segments and spectral clusters on QuickBird imagery to identify the best locations for representing the variability of the entire site (one QuickBird image). Ground measurements were conducted using ocular measurements with cover was estimated from... Categories: Data; Tags: Land Use Change, Landsat Path/Row, Landsat time-series, Southwest Wyoming, U.S., All tags... US, USGS Science Data Catalog (SDC), United States, WY, Wyoming, climate change, field observation, fractional components, heat flow (earth), image collections, imageryBaseMapsEarthCover, land use change, long-term monitoring, multispectral imaging, plant community, shrubland, shrubland ecosystem, trends, Fewer tags Long-term Monitoring - Soil Geochemistry Products Work Accomplished in FY 2009 and Findings Soil samples collected during 2008 were air-dried, disaggregated, and sieved to less than 2 mm. The less-than-2-mm material was crushed to less than150 μm in a ceramic mill and thoroughly mixed to ensure homogeneity prior to analysis by the USGS laboratories for aluminum (Al), calcium (Ca), iron (Fe), potassium (K), magnesium (Mg), sodium (Na), sulfur (S), titanium (Ti), silver (Ag), arsenic (As), barium (Ba), beryllium (Be), bismuth (Bi), cadmium (Cd), cerium (Ce), cobalt (Co), chromium (Cr), cesium (Cs), copper (Cu), gallium (Ga), mercury (Hg), indium (In), lanthanum (La), lithium (Li), manganese (Mn), molybdenum (Mo), niobium (Nb), nickel (Ni), phosphorus (P), lead (Pb),... Types: ScienceBase Information Article; Tags: long-term monitoring, science project Riparian vegetation data downstream of Glen Canyon Dam in Glen Canyon National Recreation Area and Grand Canyon National Park, AZ from 2014 to 2019 These data were collected by the Grand Canyon Monitoring and Research Center (GCMRC) to support riparian vegetation monitoring along the Colorado River between Glen Canyon Dam and the full pool level of Lake Mead. The objectives of the GCMRC riparian vegetation monitoring program are to annually measure and summarize the status (composition and cover) of native and non-native vascular plant species within the riparian zone of the Colorado River between Glen Canyon Dam and Lake Mead, assess change in the vegetation composition and cover in the riparian zone, as related to geomorphic setting and dam operations, particularly flow regime, and collect data in a manner that can be used by multiple stakeholders and is... Tags: Arizona, Botany, Colorado River, Ecology, Geography, All tags... Geomorphology, Glen Canyon, Glen Canyon Dam, Glen Canyon National Recreation Area, Grand Canyon, Grand Canyon National Park, Information Sciences, Lake Mead, Marble Canyon, USGS Science Data Catalog (SDC), annual sampling, biogeography, biota, data collection, data release, datasets, environment, environmental variables, field data collection, field inventory and monitoring, field sampling, floristic composition, inlandWaters, long-term monitoring, native species, nonindigenous species, northern Arizona, ocular cover estimates, plant composition, plant cover, plant frequency, plant richness, plant species, plants (organisms), quadrat frames, randomly-selected, riparian plants, riparian zone, sample sites, species distribution, species diversity, species richness, time series datasets, vascular plants, vegetation, vegetation change, vegetation monitoring, wetland ecosystems, Fewer tags Long-term Monitoring - Remote Sensing for Vegetation Inventory and Monitoring Products Work Accomplished in FY2009 and Findings Eight Landsat- and eight AWiFS-based habitat-component models were completed for the WLCI area, including estimates of cover percentage for shrub, herbs, litter, sagebrush, big 48 sagebrush, Wyoming sagebrush, and bare ground, and for shrub height. According to an independent accuracy assessment, primary root mean square error (RMSE) values for habitat components based on QuickBird (2.4-m resolution) ranged from 4.90 to 10.16; those based on Landsat (30-m resolution) ranged from 6.04 to 15.85; and those based on AWiFS (56-m resolution) ranged from 6.97 to 16.14. The models improved the state-wide characterization of categorical landcover classes by 8 percent over the National... Types: ScienceBase Information Article; Tags: long-term monitoring, science project