Skip to main content
Advanced Search

Filters: Date Range: {"choice":"week"} (X) > Types: Map Service (X)

208 results (17ms)   

Filters
Date Types (for Date Range)
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
U.S. Geological Survey Rocky Mountain Region inland bathymetric survey data are compiled to create a survey inventory providing survey records including survey system and product information, and links to survey datasets when available. Dataset footprints including this information and showing the location and extent of surveys can be downloaded as a shapefile or geodatabase and can be accessed through Spatial Services provided here.
thumbnail
This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc)...
thumbnail
This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, Minnesota. The DEM has a 5-meter (m; 16.404 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography, and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected September 23, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected September 22-23, 2020 using a Norbit integrated wide band multibeam system compact (iWBMSc)...
thumbnail
This dataset is the survey area footprint for the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The survey footprint represents a LAS dataset of terrestrial light detection and ranging (lidar) of beach topography and multibeam sonar bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. The surveys were completed July 20 - July 23, 2020.
thumbnail
This dataset is a LAS dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Minnesota Point near the Superior Entry of Lake Superior, Duluth, Minnesota. The LAS data sets were used to create a digital elevation model (DEM) of the approximately 2.27 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected September 15-17, 2021. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M.,...
thumbnail
This dataset represents post-nourishment digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The Lidar DEM has a 1-meter (m; 3.28084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography. The topobathy DEMs have a 10-meter (m; 32.8084 feet) or a 5-meter (m; 16.4042 feet) cell size, and were created from a combined LAS dataset of lidar data representing the beach topography, and single-beam and multibeam sonar data representing the bathymetry. The survey area extends approximately 1 kilometers (0.62 miles) offshore, for an...
thumbnail
This dataset consists of short-term (~31 years) shoreline change rates for the north coast of Alaska between the Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1979 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate short-term rates.
thumbnail
This dataset has been superseded. The most current data for this data release are available here: https://www.sciencebase.gov/catalog/item/663a57e7d34e77890839b06f This dataset consists of short-term (~32 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1978 and 2010. A reference baseline was used as the originating point for the orthogonal...
thumbnail
The U.S. Geological Survey (USGS) installed acoustic bedload monitoring systems at four sites along the Trinity River below Lewiston Dam to record the noise generated by mobilized bed material, known as sediment generated noise (SGN) (Geay and others, 2017). The four sites are: Trinity River at Lewiston (TRAL, 11525500), Trinity River above Grass Valley Creek (TRGVC, 11525630), Trinity River at Limekiln Gulch (TRLG, 11525655) and Trinity River at Douglas City (TRDC, 11525854). These sites were selected because bedload measurements are frequently made at these locations during restoration flows as part of monitoring done by the Trinity River Restoration Program (TRRP). Monitoring took place in the spring of 2015,...
thumbnail
A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels through time for the available years described in the metadata for the Mississippi River Valley alluvial aquifer (MRVA). The MRVA is the surficial aquifer of the Mississippi Alluvial Plain (MAP), located in the south-central United States. Employing two machine-learning techniques offered the opportunity to generate model and statistical error and covariance between them to estimate total uncertainty. Potentiometric surface predictions were made at the 1-kilometer grid scale using the National Hydrogeologic Grid (Clark and others, 2018). For a full description...
thumbnail
Panorama with image 388. The Niter hills west of Amargosa River at Acme, from low knoll west of the T & T. Railroad track about one- quarter mile northwest of mile post 82. Crucero (?) quadrangle. Inyo County, California. January 22, 1918.
thumbnail
Glacier National Park, Montana. West from the summit of Red Eagle Mountain: Going-to-the-Sun Mountain in the center (photo sec0347a) and Great Northern Railroad chalets on Upper Saint Mary Lake beneath it. Photo by C.S. Corbett. August 1914. Photos sec00347, sec0347a, sec0347b form a panorama.
thumbnail
Handwritten notes on back of photo: C.H. Birdseye, E.C. LaRue, Herman Stabler. ca. 1924. no. 36177 Stamped on back of photo: Reproduced from the Collection of the Library of Congress. Caption: La Rue, Birdseye, and Stabler standing near the Grand in front of the Interior Building, Washington, D.C., January 12, 1924, obtained from page 243 in Boyer, D., Webb, R., & Collier, M. (2007). Aftermath: Politics and the Strident Hydraulic Engineer. In Damming Grand Canyon: The 1923 USGS Colorado River Expedition (pp. 242-278). University Press of Colorado. doi:10.2307/j.ctt4cgqhx.13
thumbnail
Isidore Adler, chemist, operates a gonimeter used for x-ray fluorescence analysis of individual grains of mineral specimens, Geologic Division, U.S. Geological Survey, Washington, D.C. 1958. Lower right photograph page 36, Images of the U.S. Geological Survey, 1879-1979.
thumbnail
The California Groundwater Ambient Monitoring and Assessment Program (GAMA) is a statewide assessment of groundwater quality designed to help better understand and identify risks to groundwater resources. GAMA is implemented by the California State Water Resources Control Board. The U.S. Geological Survey (USGS) is the technical lead for the Priority Basin Project (PBP), one of the components of the GAMA Program. Starting in 2012, GAMA began an assessment of water resources in domestic-supply (shallow) aquifers in California. These aquifers provide water for domestic and small community-supply wells, which are often drilled to shallower depths in the groundwater system than public-supply wells. Domestic-supply aquifers...
thumbnail
These data are daily summary checklists of all bird species observed at U.S. Geological Survey, Alaska Science Center (ASC) field camps in Interior Alaska. Version History: First release: May 2021 Revised: February 2022 (ver. 2.0) Revised: February 2023 (ver. 3.0)
U.S. Geological Survey Northwest and Pacific Islands Region inland bathymetric survey data are compiled to create a survey inventory providing survey records including survey system and product information, and links to survey datasets when available. Dataset footprints including this information and showing the location and extent of surveys can be downloaded as a shapefile or geodatabase, and can be accessed through Spatial Services provided here.
thumbnail
This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: lidar, 0.094 meters (m); multibeam sonar, 0.501 m; single-beam sonar, 1.876 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) resolution, of the approximate 1.75 square kilometer surveyed area. Lidar data were collected August 22, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar...
thumbnail
Panorama with image 400. High hill shown in panoramic images 398 and 399, showing upper entrance of Amargosa Canyon and dip slope in members of the nitrate-bearing clays. View south form low gravelly point near Acme siding on T. & T. Railroad. Crucero (?) quadrangle. Inyo County, California. January 23, 1918.
thumbnail
Specimens of sheet mica. Latah County, Idaho. Circa 1943. Plate 8-B in U.S. Geological Survey Professional Paper 229. 1950


map background search result map search result map The Niter hills west of Amargosa River at Acme, from low knoll west of the T & T. Railroad track about one- quarter mile northwest of mile post 82. Inyo County, California. 1918. High hill shown in panoramic images 398 and 399, showing upper entrance of Amargosa Canyon and dip slope in members of the nitrate-bearing clays. Inyo County, California. 1918. Isidore Adler, chemist, operates a gonimeter used for x-ray fluorescence analysis of individual grains of mineral specimens, Geologic Division,Washington, D.C. 1958. West from the summit of Red Eagle Mountain. Glacier National Park, Montana. 1914. Specimens of sheet mica. Latah County, Idaho. Circa 1943. Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape Eugene Clyde La Rue, Claude H. Birdseye, and Herman Stabler standing by the Grand. Washington, D.C. 1924. Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 Duluth Entry: 10-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 (ver. 2.0, September 2024) Duluth Entry: 5-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 (ver. 2.0, September 2024) LAS dataset of lidar, single-beam, and multibeam sonar data collected of Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2021 (ver. 2.0, September 2024) Digital elevation models (DEMs) of beach topography and near-shore bathymetry of Minnesota Point, near the Superior Entry of Lake Superior, Duluth, MN, September 2021 (ver. 2.0, September 2024) California Groundwater Ambient Monitoring and Assessment (GAMA) Program Domestic-Supply (Shallow) Aquifer Assessment Study Unit Boundaries for Assessment of Groundwater Resources LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 (ver. 2.0, September 2024) Sediment generated noise and bedload data from the Trinity River, California, 2015-2019. Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software Interior Alaska eBird Checklists U.S. Geological Survey Northwest and Pacific Islands Region Bathymetric Survey Inventory, v3 Update LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022 (ver. 2.0, September 2024) Duluth Entry: 10-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 (ver. 2.0, September 2024) Duluth Entry: 5-meter Digital elevation model (DEM) of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, September 2020 (ver. 2.0, September 2024) Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 LAS dataset of lidar, single-beam, and multibeam sonar data collected of Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2021 (ver. 2.0, September 2024) Digital elevation models (DEMs) of beach topography and near-shore bathymetry of Minnesota Point, near the Superior Entry of Lake Superior, Duluth, MN, September 2021 (ver. 2.0, September 2024) Sediment generated noise and bedload data from the Trinity River, California, 2015-2019. Isidore Adler, chemist, operates a gonimeter used for x-ray fluorescence analysis of individual grains of mineral specimens, Geologic Division,Washington, D.C. 1958. Eugene Clyde La Rue, Claude H. Birdseye, and Herman Stabler standing by the Grand. Washington, D.C. 1924. Specimens of sheet mica. Latah County, Idaho. Circa 1943. Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between the Point Barrow and Icy Cape West from the summit of Red Eagle Mountain. Glacier National Park, Montana. 1914. Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Short-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River The Niter hills west of Amargosa River at Acme, from low knoll west of the T & T. Railroad track about one- quarter mile northwest of mile post 82. Inyo County, California. 1918. High hill shown in panoramic images 398 and 399, showing upper entrance of Amargosa Canyon and dip slope in members of the nitrate-bearing clays. Inyo County, California. 1918. Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software California Groundwater Ambient Monitoring and Assessment (GAMA) Program Domestic-Supply (Shallow) Aquifer Assessment Study Unit Boundaries for Assessment of Groundwater Resources U.S. Geological Survey Northwest and Pacific Islands Region Bathymetric Survey Inventory, v3 Update Interior Alaska eBird Checklists