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These geospatial data were collected during the May 30-31, 2017 topographic and hydrographic survey of the Snake River at West River Road near Shelley, ID.
This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
The US Geological Survey Chesapeake Bay Watershed Land Cover Data Series, 2011 edition, (CBLCD-e11) consists of Level I Land Cover data for the years 1984, 1992, 2001, 2006 and 2011. It consists of a series of five 8-bit unsigned integer raster data files of 30 meter spatial resolution in Albers Conic Equal Area projection, NAD83 datum. The 1984 – 2006 data layers were created by aggregating most Level II Anderson classes of the USGS CBLCD Land Cover Data Series released in 2010 (Irani and Claggett, 2010).
This tabular data set represents the percent of surficial materials compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "Digital data set describing surficial geology in the conterminous US," produced by the United States Geological Survey (Price and Clawges, 1999). Units are percent. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative...
This point vector dataset represents 10 climate stations used for analysis of annual and seasonal precipitation, analysis of monthly measured reference evapotranspiration, and comparison of simulated potential evapotranspiration with measured reference evapotranspiration within the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico.
This tabular data set represents the percent of land cover classes from the 2014 Crop land Data Layer compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data is the "2014 Crop Land Data Layer" produced by the United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS, 2015). Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes...
Categories: Data;
Types: Citation;
Tags: CDL,
Catchment,
Conterminous United States,
Crop Land Data Layer,
CropScape,
These geospatial data were collected during the July 13 and July 27, 2016 topographic and hydrographic survey of the Gallatin River at I-90 near Manhattan, MT.
This dataset contains the Flow Accumulation (FA) grid for the Asian continent from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were developed and distributed by processing units. There are 19 processing units for Asia. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. as_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment...
This dataset contains the Digital Elevation Model (DEM) for Australasia from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The data were developed and distributed by processing units. There are 11 processing units for Australasia. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. au_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment...
This product consists of time-series calculations of anthropogenic characteristics derived for 16 data themes for multiple scales covering the conterminous United States. The characteristics are those which (a) have consistent data sources, and (b) have the potential to affect the water quality of streams and rivers. All 16 data themes are provided for Hydrologic Unit Code level-10 (HUC-10) boundaries (n = 15,458). Additionally, measures of land use and imperviousness are provided for U.S. Environmental Protection Agency (USEPA) Level 4 ecoregions (n = 967) and for U.S. counties (n = 3,109). The data may be scaled up to broader areas; that is, HUC-10 data may be scaled up to HUC-8, 6, 4, or HUC-2 areas, Level 4...
Categories: Data;
Tags: Atmospheric Deposition,
Census of Agriculture,
Conservation Practices,
Conterminous US,
Crop Reserve Program,
This content represents a compressed folder of the processed datasets for the waterborne resistivity profiling surveys of streams in the Mississippi Alluvial Plain. This file bundle contains 8 .csv tables, each representing raw data for an individual stream.
The basis for these features is U.S. Geological Survey Scientific Investigations Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS hydraulic model is a 12.9-mile reach of Johnson Creek from just upstream of SE 174th Avenue in Portland, Oregon, to its confluence with the Willamette River. Some of the hydraulics used in the model were taken from Federal Emergency Management Agency, 2010, Flood Insurance Study, City of Portland, Oregon, Multnomah, Clackamas, and Washington Counties, Volume 1 of 3, November 26, 2010. The Digital Elevation Model (DEM) utilized for the project was developed from lidar data flown in 2015 and provided by the Oregon Department...
Types: Citation;
Tags: Johnson Creek,
Portland, Oregon,
Willamette Valley,
digital elevation models,
floods,
This dataset represents ease of access to bottomland areas for vegetation treatments. Access may be by road, 4x4 near road, hike in by field crews or requiring overnight camping or raft access. Access is considered for each side of the river separately.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
The glacial aquifer system of the United States encompasses all or parts of 25 states and is the most widely used supply of drinking water in the Nation (Maupin and Barber, 2005; Maupin and Arnold, 2010). A series of seven raster data sets were derived from a database of water-well drillers' records that was compiled in partial fulfillment of the goals of the U.S. Geological Survey’s Groundwater Availability and Use assessment program (U.S. Geological Survey, 2002). They contain hydrogeologic information for areas of the U.S. that are north of the southern limit of Pleistocene glaciation, including the total thickness of glacial deposits, thickness of coarse-grained sediment within the glacial deposits, specific-capacity...
This data set shows the extent of the Colorado River Conservation Planning project bottomland area as delineated by topography and vegetation, The bottomland area is subdivided into 1 km polygons measured from the upstream project boundary. Reach breaks were determined by large topographic shifts and/or tributary junctions by John Dohrenwend. Please see the project report for more details.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arches National Park,
Canyonlands National Park,
Colorado River,
Grand County,
Moab,
This data release contains coastal wetland synthesis products for the geographic region from Jamaica Bay to western Great South Bay, located in southeastern New York State. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and mean tidal range, are calculated for smaller units delineated from a Digital Elevation Model, providing the spatial variability of physical factors that influence wetland health. Through scientific efforts initiated with the Hurricane Sandy Science Plan, 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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Atlantic Ocean,
Environmental Health,
Hydrology,
Jamaica Bay,
LTER,
These geospatial data were collected during the August 30, 2016 topographic and hydrographic survey of the Upper Iowa River in the vicinity of IA-76 near Dorchester, IA.
These geospatial data were collected during the May 24, 2017 topographic and hydrographic survey of Saddle River in the vicinity of New Jersey State Route 17 at Ridgewood, NJ.
Acoustic Doppler current profiler (ADCP) data were collected at multiple transects spaced in a regular grid throughout Calumet Harbor on September 14, 2015 to determine the spatial distribution of layer-averaged velocities. The data were layer-averaged in 2-foot increments of depth from the bed to the water surface, and temporally-averaged over a 30-second window to reduce noise. Data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013). Any data assigned a value of "-9999" are invalid or missing and should not be used for analysis. Parsons, D. R., Jackson, P. R., Czuba, J. A., Engel, F. L., Rhoads, B. L., Oberg, K. A., Best, J. L., Mueller, D. S., Johnson, K. K. and Riley, J. D. (2013),...
This project will address species-habitat relationships for a priority aquatic system for the GCPO LCC, Mainstem Big Rivers. Specifically, the project will collect subsurface aquatic habitat data using side-scan sonar and high resolution bathymetry data in the Pearl River system of Louisiana. This project expands on current work ongoing in the Pearl River, and would extend habitat data collection for the purposes of making recommendations on restoration of aquatic habitat for species endpoints in this aquatic system. This project directly addresses landscape conservation design and will be used to inform Adaptation Strategies.
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