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The introduction of exotic plant species into the western United States has caused substantial changes to rangeland disturbance regimes and ecosystem structure and function. For example, exotic annual grass (EAG) invasion in western rangelands has increased wildfire frequency, which greatly reduces rangeland ecosystem diversity and leads to single-species dominance in many areas. Rangeland monocultures do not provide optimal carbon sequestration and other environmental processes necessary to sustain historically normal ecosystem structure, including the ecological diversity needed to support sagebrush obligates like Greater Sagegrouse, pygmy rabbit, and pronghorn. These obligates, as well as others, require contiguous,...
Categories: Data;
Tags: Bromus japonicus,
Bromus tectorum,
California (CA),
Cheatgrass,
Colorado (CO),
Note: This data release is currently under revision and is temporarily unavailable. Phenological dynamics of terrestrial ecosystems reflect the response of the Earth's vegetation canopy to changes in climate and hydrology and are thus important to monitor operationally. The Exotic Annual Grass (EAG) phenology in the western U.S. rangeland based on 30m near seamless Harmonized Landsat and Sentinel-2 (HLS) Normalized Difference Vegetation Index (NDVI) weekly composites between 2016 and 2021 (Dahal et al., 2022) were processed using these 3 methods: (1) NDVI threshold-based method, (2) manual phenological metrics, and (3) modeling and mapping. The EAG phenology model produced eight metrics identifying the sustainable...
THIS IS A HISTORICAL RECORD. As of December 17, 2021, the BISON application will no longer be available online and has been replaced by https://www.gbif.us. The BISON APIs are still available at https://bison.usgs.gov/#api and the Integrated Publishing Toolkit is still available at https://bison.usgs.gov/ipt. The USGS Biodiversity Information Serving Our Nation (BISON) project is an online all-species mapping information system consisting of a large collection of species occurrence datasets (e.g., plants and animals) found in the United States, U.S. Territories, U.S. marine Exclusive Economic Zones (EEZ), and Canada, with relevant geospatial layers. Species occurrences are records of organisms at a particular...
This data release provides a monthly irrigation water use reanalysis for the period 2000-20 for all USGS Watershed Boundary Dataset of Subwatersheds (HUC12) in the conterminous United States (CONUS). Results include reference evapotranspiration (ETo), actual evapotranspiration (ETa), irrigated areas, consumptive use, and effective precipitation for each HUC12. ETo and ETa were estimated using the operational Simplified Surface Energy Balance (SSEBop, Senay and others, 2013; Senay and others, 2020) model executed in the OpenET (Melton and others, 2021) web-based application implemented in Google Earth Engine. Results provided by OpenET/SSEBop were summarized to hydrologic response units (HRUs) in the National Hydrologic...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conterminous United States (CONUS),
Geography,
Hydrology,
USGS Science Data Catalog (SDC),
Water Resources,
Note: this data release has been depecrated. Find the updated version here: https://doi.org/10.5066/P9ULGQ4W. These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in comma-delimited table format, generated from hydrographic and velocimetric surveys near highway bridge structures over the Missouri River between Kansas City and St. Louis, Missouri, May 19–26, 2021. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed...
Land Change Monitoring, Assessment, and Projection (LCMAP) represents a new generation of land cover mapping and change monitoring from the U.S. Geological Survey’s Earth Resources Observation and Science (EROS) Center. LCMAP answers a need for higher quality results at greater frequency with additional land cover and change variables than previous efforts. By utilizing a suite of operational automated algorithms to identify different forms of change and to characterize the large variety of land cover types, uses, and conditions that exist across the United States and beyond, LCMAP products provide land change science information in understanding changes in the type, intensity, condition, location, and time of...
This landing page is meant only to be a holding directory for those data from USGS Data Series 781 (https://pubs.usgs.gov/ds/781/) of the California Seafloor Mapping Program (CSMP) in which the data are housed on ScienceBase rather than in the USGS Publications Warehouse. See the README file in the Files section below for more information.
This collection contains all records registered by USGS data managers through the Data Management Dashboard. It contains both virtual collections from other parts of ScienceBase and collections newly registered in this location. Collections can be registered as sources of either FGDC CSDGM or ISO19115 metadata, but only CSDGM metadata are currently indexed for data.usgs.gov.
Note: this data release has been depecrated. Find the updated version here: https://doi.org/10.5066/P942QL23 In June, 2022, the Mount Rainier Streamflow Permanence model was revised to replace monthly climatic covariates with seven-month summaries to address peer-review comments related to inclusion of correlated covariates into the model. Replacement of the monthly covariates resulted in changes to the model source code and model outputs, which are now annual probabilities of streamflow permanence for years 2018-2020. This data release contains spatially gridded geospatial data (rasters), R scripts, and supporting files to run Random Forest models to predict the probability of late summer surface flow in Mt....
The Multi-Resolution Land Characteristics (MRLC) consortium is a group of federal agencies who coordinate and generate consistent and relevant land cover information at the national scale for a wide variety of environmental, land management, and modeling applications. The creation of this consortium has resulted in the mapping of the lower 48 United States, Hawaii, Alaska and Puerto Rico into a comprehensive land cover product termed, the National Land Cover Database (NLCD), from decadal Landsat satellite imagery and other supplementary datasets. The primary objective of the MRLC NLCD is to provide the Nation with nationally complete, current, consistent, and public domain information on the Nation's land cover....
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