Filters: Contacts: {oldPartyId:60927} (X)
26 results (16ms)|
Filters
Date Range
Extensions Types Contacts
Categories Tag Types Tag Schemes |
Scientists within the Geospatial Analyses and Applications Team develop and apply geospatial analytical methods to answer broad-scale questions about source-sink and cause-effect relationships between contaminants and vulnerable communities. Multivariate statistics are used to identify connections between landscape gradients and observational data. These connections are used to develop risk assessments and make predictions across broad, regional scales. Datasets and analytical tools developed by the CTT support multiple projects seeking to understand complex source-sink relationships between observational data and landscape characteristics. Datasets, tools, and methods detailed and stored on this community page...
This dataset describes the location of channel heads survyed in two headwater watersheds in Clarksburg, Montgomery County, Maryland, and the digital elevation models derived from light detection and ranging (lidar) covering the two watersheds. The digital elevation models were used to derive topographic attributes used to delineate drainage networks that were then assessed for accuracy using the field-surveyed channel heads. First posted - January 21, 2021 (available from author) Revised - October 15, 2021 (version 2.0)
Categories: Data,
Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Maryland,
USGS Science Data Catalog (SDC),
drainage basins,
land surveying,
river systems,
These are physical and geochemical (elemental, strontium isotope) data from dust and sediments collected from and around Great Salt Lake, Utah. Data were collected by the U.S. Geological Survey Utah Water Science Center (West Valley City, Utah) to better understand the degree to which populations in northern Utah are affected by Great Salt Lake dust, dust from other sources, and metals pollution. The samples were processed at the Utah Water Science Center and geochemical analysis was performed at the University of Utah's ICP-MS Metals and Strontium Isotope Facility (Salt Lake City, Utah). These data can be used to evaluate the spatial variability of dust and metals deposition to urban areas and natural ecosystems...
Coastal communities are uniquely vulnerable to sea-level rise and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in subsequent years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health stressors. These data document the mid-range Fourier transform infrared (FTIR) spectra and absorbance measurements as a function of wavelength with and without spectral corrections for selected stations...
This dataset provides a modified version of the previously published Lake Powell topobathymetric digital elevation model (TBDEM; Poppenga and others, 2020). The original TBDEM is comprised of four source datasets: (1) a 2017 1-meter multibeam bathymetric survey; (2) a 2018 topographic light detection and ranging (lidar) derived digital elevation model (DEM); (3) a historical topographic DEM that was interpolated from contours maps created in 1947 and 1959; and (4) interpolated topography where gaps existed in the bathymetric and lidar data or where historical data were not suitable (Poppenga and others, 2020). For this data release, two corrections were made to the TBDEM to address errors associated with the historic...
This data release contains coastal wetland synthesis products for the state of Connecticut. Metrics for resiliency, including the unvegetated to vegetated ratio (UVVR), marsh elevation, tidal range, wave power, and exposure potential to environmental health stressors are calculated for smaller units delineated from a digital elevation model, providing the spatial variability of physical factors that influence wetland health. The U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing federal, state, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Connecticut,
Long Island Sound,
SCoRR,
United States,
coastal ecosystems,
|
|
