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Geospatial data were developed to characterize pre-fire biomass, burn severity, and biomass consumed for the Black Dragon Fire that burned in northern China in 1987. Pre-fire aboveground tree biomass (Mh/ha) raster data were derived by relating plot-level forest inventory data with pre-fire Landsat imagery from 1986 and 1987. Biomass data were generated for individual species: Dahurian larch (Larix gmelinii Rupr. Kuzen), white birch (Betula platyphylla Suk), aspen (Populus davidiana Dode and Populus suaveolens Fischer), and Mongolian Scots pine (Pinus sylvestris var. mongolica Litvinov). A raster layer of total aboveground tree biomass was also generated. Burned area was manually delineated using the normalized...
Heavy rainfall occurred across Louisiana, Texas, Arkansas, and Mississippi in March 2016 as a result of a slow-moving southward dip in the jetstream, funneling tropical moisture into parts of the Gulf Coastal States and the Mississippi River Valley. The storm caused major flooding in the north and southeastern parts of Louisiana and in eastern Texas. Flooding also occurred in the Mississippi River Valley in Arkansas and Mississippi. Over 26 inches of rain were reported near Monroe, Louisiana over the duration of the storm event. In March 2016, U.S. Geological Survey (USGS) personnel made over 490 streamflow measurements at over 375 locations in Louisiana, Texas, Arkansas, and Mississippi. Many of those streamflow...
Categories: Data,
Data Release - Revised;
Tags: Flood,
Lousiaiana,
Mississippi,
Texas,
USGS Science Data Catalog (SDC),
Bathymetric survey data of the Brandon Road Dam spillway was collected on May 27 and May 28, 2015 by the US Geological Survey (USGS) using Trimble Real-Time Kinematic Global Positioning System (RTK-GPS) equipment. The base station was set up over a temporarily installed survey pin on both days. This pin was surveyed into an existing NGS benchmark (PID: BBCN12) within the Brandon Road Lock property. In wadeable sections, a GPS rover with 2.0 meter range pole and flat-foot was deployed. In sections unable to be waded, a 2.0 meter range pole was fix-mounted to a jon boat, and a boat-mounted Acoustic Doppler Current Profiler (ADCP) was used to collect the depth data. ADCP depth data were reviewed in the WinRiver II...
The dataset contains Esherichia coli and quantitative polymerase chain reaction data for microbial source tracking markers in the Chattahoochee River and streams within the Chattahoochee River National Recreation area from samples collected in the winter and summer of the federal fiscal years 2016 and 2017. Six water samples were collected from three sites on the Chattahoochee River each season. Eleven stream sites and one additional site on the Chattahoochee River were sampled once each season, with the exception of two sites, which were not sampled in winter FY16.
Categories: Data;
Tags: Atlanta,
Chattahoochee,
Environmental Health,
USGS Science Data Catalog (SDC),
Water Resources,
This dataset contains chemical and isotopic data from 39 produced water samples collected from sealed separators containing water from horizontal hydrocarbon wells in the lower Eagle Ford Group. The samples were collected from Lavaca and Gonzales counties, Texas in December, 2015. All wells had been in production for longer than 6 months and had produced more than 10,000 barrels (~160,000 liters) of water.
Categories: Data;
Tags: Energy Resources,
Texas,
USGS Science Data Catalog (SDC),
geochemistry,
groundwater geochemistry,
This data release contains tabular digital data describing calculated hourly back trajectory position coordinates for air masses contributing to five selected precipitation-mercury deposition episodes at National Atmospheric Deposition Program monitoring site IN21 (National Atmospheric Deposition Program, 2017) in southeastern Indiana during 2009‒2015. The air pollution transport and dispersion modeling system HYSPLIT (Stein et. al, 2015) was used to calculate the back trajectory position coordinates during 48 hours preceding the start of each episode. The 40-km gridded input data to HYSPLIT were from National Oceanic and Atmospheric Administration (2017). Continuous, digital precipitation depth data were recorded...
Categories: Data;
Tags: Indiana,
USGS Science Data Catalog (SDC),
air pollution,
atmospheric deposition,
dispersion model,
Temporal and spatial sources of silica for chert remain poorly constrained. Modern sources to the worlds oceans include silica in rivers > aeolian (dust) deposition > sea floor vents and submarine weathering. However, changes in aridity and dust flux during the Phanerozoic may explain variations in the ocean silica cycle and times and places of chert formation. The chemistry of fine quartz dust (FQD) provides a chemical mechanism for the transformation of FQD to polymorphs of silica in chert; FQD is readily dissolved, then reprecipitated as Opal-A by either biotic or abiotic processes. An unequivocal relation between increases in dust flux and biogenic opal-A in the western Pacific Ocean during the past 200 kyr...
The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Pacific Region of the Unites States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based...
This dataset contains LiDAR DEMs, magnetic field images and data, radiocarbon results, tree ring counts, and fault scarp trench logs.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Chelan, Washington,
Entiat, Washington,
Geomorphology,
Paleoseismology,
Seismology,
The U.S. Geological Survey (USGS), working in cooperation with the U.S. Fish and Wildlife Service, installed a groundwater and vegetation monitoring network in a proposed wetland area east of the Rio Grande near Bernardo, New Mexico on the NM Boys and Girls Ranch, at a site now known as the Blue Heron Wildlife Preserve (BHWP). In September of 2016, baseline vegetation data were collected across the BHWP to assess vegetation changes with time in the proposed wetland area as it is established and maintained. A second round of vegetation surveys were conducted in August of 2018 for comparative purposes. The collection of this data will support conservation and management decisions.
These data are bathymetry (river bottom elevation) in XYZ format, generated from the March 29-30, 2017 and April 13, 2017, bathymetric survey of the East Fork White River at Columbus, Indiana. The bathymetry was collected from approximately the confluence of Driftwood and Flatrock rivers, downstream to the confluence of Haw Creek. Hydrographic data were collected using an acoustic Doppler current profiler (ADCP) with integrated Differential Global Positioning System (DGPS). Data were collected as the surveying vessel traversed the river, approximately perpendicular to the velocity vectors at 55 cross sections which were spaced 200 feet apart along the river. Additional cross sections were collected upstream and...
High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi River Delta front. As the initial field program of a research cooperative between the U.S. Geological Survey, the Bureau of Ocean Energy Management, and other Federal and academic partners, the primary objective of this cruise was to assess the suitability of sea-floor mapping and shallow subsurface imaging tools in the challenging environmental conditions found across delta fronts (for example, variably distributed water column stratification and widespread biogenic...
FY2014The goals for the project are1) Develop a Walker River Vision document which will include Traditional Ecological Knowledge (TEK) of the traditional plants, wildlife, fish and water located on the reservation and traditional hunting/ gathering areas of the Agai Dicutta Numa (Walker River Paiutes) for use in future resource management planning and cultural sustainability..2) Develop a pilot project along the Walker River on the reservation by planting willows and other traditional plants to determine best practices for re-vegetation.This project will focus on GBLCC Goal 2: Focus science and management actions to sustain natural resources in the context of changing environmental conditions.The proposed project...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data Management and Integration,
Decision Support,
Great Basin,
Great Basin,
Great Basin,
From 2013 to 2015, bathymetric surveys of New York City’s six West of Hudson reservoirs (Ashokan, Cannonsville, Neversink, Pepacton, Rondout, and Schoharie) were performed to provide updated capacity tables and bathymetric maps. Depths were surveyed with a single-beam echo sounder and real-time kinematic global positioning system (RTK-GPS) along planned transects at predetermined intervals for each reservoir. A separate set of echo sounder data was collected along transects at oblique angles to the main transects for accuracy assessment. Field survey data was combined with water-surface elevations in a geographic information system to create three-dimensional surfaces representing reservoir-bed elevations in the...
SPARROW model dataset for total suspended solids in North Carolina, including simulated stream loads
To better understand the influence of human activities and natural processes on surface-water quality, the U.S. Geological Survey (USGS) developed the SPARROW (SPAtially Referenced Regressions On Watershed attributes) (Schwarz and others, 2006; Alexander and others, 2008) model. The framework is used to relate water-quality monitoring data to sources and watershed characteristics that affect the fate and transport of constituents to receiving surface-water bodies. The core of the model consists of using a nonlinear-regression equation to describe the non-conservative transport of contaminants from point and nonpoint sources on land to rivers, lakes and estuaries through the stream and river network. In North Carolina,...
Categories: Data;
Tags: North Carolina (state),
USGS Science Data Catalog (SDC),
Water Quality,
surface water quality
This CED spatial web service (ESRI ArcGIS Online Hosted Feature Layer) provides spatial representations and attribute information of conservation efforts entered into the Conservation Efforts Database (https://conservationefforts.org) by various data providers. This spatial web service is made of point, line, and polygon layers and non-spatial tables. Feature records are group with their respective spatial feature type layers (point, line, polygon). The three spatial layers have identical attribute fields. Read only access to this data is ONLY available via an interactive web map on the Conservation Efforts Database website or authorized websites. Users who are interested in more access can directly contact the...
The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods, environmental data, and associated quality-assurance data for samples collected in 2013. Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Area of Concern,
Area of Concern,
Emerging Contaminants,
Emerging Contaminants,
Great Lakes,
Water surface elevations within seven Willamette River off-channel features (OCF; alcoves and side channels) were measured using submerged pressure transducers. Transducers were installed from late May through mid-October, 2016, when discharge of the Willamette River was between approximately 5,500 and 45,000 cubic feet per second at Salem, Oregon (USGS gage 14191000) and 3,500 to 17,500 cubic feet per second at Harrisburg, Oregon (USGS gage 14166000). Pressure transducer sensor depth was measured at all seven sites. For five of the sites, pressure transducer sensor depths were converted to water surface elevations by surveying the water surface at each transducer with a real-time kinematic global positioning system...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecology,
Geomorphology,
Oregon,
RTK,
USGS Science Data Catalog (SDC),
These data were compiled during a laboratory experiment showing the turbidity response to increasing silt and clay concentration. The sediment used for the laboratory experiment was collected in the Grand Canyon study area, from the bank of the Little Colorado River, approximately 1 kilometer upstream from its confluence with the Colorado River. The sediment was passed through a 63 µm sieve to isolate the silt-and-clay-size fraction. The silt and clay was completely dried in an oven (at 105 degrees Celsius for 12 hours), weighed, mechanically disaggregated, and added in stages to a measured volume of water to calculate concentration. The sediment was kept in suspension with an electric stirrer and turbidity was...
Spatially accurate annual crop cover maps are an important component to various planning and research applications; however, the importance of these maps varies significantly with the timing of their availability. Utilizing a previously developed crop classification model (CCM), which was used to generate historical annual crop cover maps (classifying nine major crops: corn, cotton, sorghum, soybeans, spring wheat, winter wheat, alfalfa, other hay/non alfalfa, fallow/idle cropland, and ‘other’ as one class for remaining crops), we hypothesized that such crop cover maps could be generated in near real time (NRT). The CCM was trained on 14 temporal and 15 static geospatial datasets, known as predictor variables, and...
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