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LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, GPS positioning and inertial measurement technologies; LiDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation.
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This topobathymetric digital elevation model (TBDEM) mosaic represents the topography and bathymetry for the Milwaukee River Estuary in Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas. The TBDEM was produced in support of modeling and for developing a physical habitat framework to help with understanding the effects from multidirectional currents and seiche effects associated with the mixing of river flows with Lake Michigan backwater. The TBDEM mosaic is built off existing terrestrial, nearshore, and estuary frameworks developed for other areas around the Great Lakes and the Milwaukee River Harbor. Ranging from 2008-2015, land elevations derived from lidar and historic topographic...
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Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 3DR Solo quadcopter, CMGP, Charles Point, Coastal and Marine Geology Program, DEM, All tags...
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In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey developed a StreamStats web application (https://water.usgs.gov/osw/streamstats/) that provides analytical tools useful for water-resources planning and management (Ries and others, 2017). This data set presents the lidar-derived flow direction, flow accumulation, streamline, and hydro-enforced digital elevation model raster data used for analysis in StreamStats. Rasters are included for each of the following hydrologic unit codes (HUCs): 03040101, 03040102, 03040103, 03040104, 03040105, 03040201, 03040202, 03040203, 03040204, 03040205, 03040206, 03040207, 03040208, 03050101, 03050102, 03050103, 03050104, 03050105, 03050106,...
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Aerial photography surveys during and after the 2018 eruption of Veniaminof Volcano, Alaska were conducted to track the evolution of the lava flow field, active volcanic vent, and glacial ice loss from the eruption. Imagery from two surveys was processed with structure-from-motion (SfM) photogrammetric methods to derive the digital elevation models (DEMs) and orthophotos in this data release. The datasets cover the active volcanic cone and intracaldera ice cap, which both show significant topographic and groundcover change between surveys, and relative to previous topographic reference data, due to the 2018 eruption and variable snow and ice cover. A syn-eruption survey on September 26, 2018 was conducted by the...
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Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 3DR Solo quadcopter, CMGP, Coastal and Marine Geology Program, DEM, Federal Emergency Management Agency, All tags...
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La Soufrière Volcano is a 1,220 m high stratovolcano that occupies the northern half of the island of St. Vincent, Lesser Antilles, Eastern Caribbean. It has a long history of explosive and sometimes devastating eruptions. Beginning in December 2020 and ending in April 2021, La Soufrière Volcano produced a Volcano Explosivity Index (VEI) 4 eruption that greatly impacted the landscape, communities, and infrastructure on the island of St. Vincent. The eruption produced intense ash plumes, heavy ashfall, and pyroclastic flows down several river valleys. During and following the eruption, destructive lahars (volcanic mudflows) impacted rivers valleys and coastal communities for months. The USGS-USAID Volcano Disaster...
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Development of a high-resolution digital elevation model (DEM) of the pre-Glen Canyon Dam topography in Glen Canyon National Recreation Area, Utah and Arizona was initiated to assist the U.S. Geological Survey (USGS) in its Lake Powell coring program in the fall of 2018 (https://www.usgs.gov/centers/ut-water/science/lake-powell-coring). Topographic surveys of Glen Canyon were commissioned by the Bureau of Reclamation during the planning stages for Lake Powell as part of the Colorado River Storage Project (S. 500, 1956). The Colorado River arm was surveyed by Alster and Associates, Inc. in 1958 and 1959 at a contour interval of 10-feet from the river surface at the future dam site through where the 3,750-foot contour...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Animas River, Antelope Canyon, Bullfrog, Bullfrog Bay, Capitol Reef National Park, All tags...
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This is a tiled collection of the 3D Elevation Program (3DEP) and is 1 arc-second (approximately 30 m) resolution. The elevations in this Digital Elevation Model (DEM) represent the topographic bare-earth surface. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications.. The seamless 1 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data...
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This is a tiled collection of the 3D Elevation Program (3DEP) and is 2 arc-second (approximately 60 m) resolution covering Alaska. The elevations in this Digital Elevation Model (DEM) represent the topographic bare-earth surface. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The seamless 2 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure....
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In 2021, the USGS 3D Elevation Program (3DEP) funded the collection of topo-bathymetric lidar (sometimes referred to as "green lidar") on the McKenzie River, Oregon. As part of this acquisition, lidar data were collected starting on the McKenzie River below Trail Bridge Reservoir and extending downstream roughly 125 km to its confluence with the Willamette River. Bathymetric lidar produced measurements of river bathymetry in areas of the McKenzie River channel that were generally less than 3 m in depth but did not produce measurements in deeper areas of the river. To fill the gaps in the topo-bathymetric lidar dataset (commonly referred to as "voids"), the U.S. Army Corps of Engineers funded USGS to collect boat-based...
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On October 13, 2020 a survey of Upper Letts Lake was conducted where both bathymetric and terrestrial lidar data were collected. Additionally, six bed material samples and three core samples were collected to understand the characterization of the grain-size of the lake bed. Survey data were merged with an additional lidar dataset from the USGS 3DEP program to create digital elevation model (DEM). The DEM was used to update the stage-storage and stage-surface area tables for the reservoir. This data release provides the following data sets; 1) bathymetric and terrestrial elevation data, 2) Combined bathymetric and 3DEP DEM, 3) stage-storage and stage-surface area tables from DEM, and 4) bed material grain-size and...
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The 2018 eruption of Kīlauea Volcano on the Island of Hawaiʻi saw the collapse of a new, nested caldera at the volcano’s summit, and the inundation of 35.5 square kilometers (13.7 square miles) of the lower Puna District with lava. Between May and August, while the summit caldera collapsed, a lava channel extended 11 kilometers (7 miles) from fissure 8 in Leilani Estates to Kapoho Bay, where it formed an approximately 3.5-square-kilometer (1.4-square-mile) lava delta along the coastline. Rapidly-deployed remote sensing techniques were vital in monitoring these events. Following the eruption, the U.S. Geological Survey (USGS) contracted the acquisition of rigorous airborne lidar surveys of Kīlauea Volcano's summit,...
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The National Elevation Dataset (NED) is the primary elevation data product of the USGS. The NED is a seamless dataset with the best available raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands. The NED is updated on a nominal two month cycle to integrate newly available, improved elevation source data. All NED data are public domain. The NED is derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. NED data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the conterminous United...
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LiDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a combination of laser rangefinding, GPS positioning and inertial measurement technologies; LiDAR instruments are able to make highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation.
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This digital elevation model (DEM) for the Northern Atlantic Coastal Plain (NACP) from Long Island New York to northeastern North Carolina represents the elevation of the topographic and bathymetric surface at a uniform horizontal grid spacing of 100 feet and vertical units of 1 (integer) foot. The land-surface elevations are derived from U.S. Geological Survey 30-meter National Elevation Dataset (NED), and the bathymetric elevations are derived from 3 arc-second (90-meter-nominal) National Oceanic and Atmospheric Administration (NOAA) U.S. Coastal Relief Model (CRM). Horizontal coordinates are referenced to the North American Datum of 1983 (NAD 83) and vertical measurements are referenced to the North American...
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This data release includes the input topographic data sets, model parameters, and validation field measurements of flow velocity used to develop and test multidimensional hydraulic models for a reach of the upper Sacramento River in northern California. Digital elevation models (DEMs) were developed by combining water depth maps of the reach, created using spectrally-based remote sensing methods, with light detection and ranging (lidar) data on water surface and terrestrial elevations. The depth maps were derived from three imagery sources: (1) airborne hyperspectral imagery (CASI); (2) uncrewed aerial survey (UAS)-based hyperspectral imagery (Nano); and (3) multispectral satellite imagery (WV3). The methods used...
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Some species respond to environments directly related to altitudinal variation. Elevation (e.g., DEM) is easily implemented in spatial modeling by limiting the model to the minimum and maximum values explicitly stated in the literature. DEMs are utilized directly and are measured in meters above mean sea level. The elevation dataset was derived from the National Elevation Dataset, elevation units are reported in meters. For more information regarding the National Elevation Dataset, see http://ned.usgs.gov/. This is a continuous data layer. These data are divided into 6 regions across the US (Northwest, Southwest, Great Plains, Upper Midwest, Southeast, and Northeast). If you want complete coverage of the entire...
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Index Grid for NTS (National Topographic Series) 1:50,000 scale maps
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Digital elevation models of the SR530 Landslide, created using structure from motion photogrammetry. These surveys were performed at irregular intervals between July 1, 2014 and July 7, 2015. Due to the photogrammetric methods used to collect these surveys, there may be substantial artifacts near the edges of the surveys, in areas of vegetation, or over extents of bare water, and should be used with caution in these areas. Details of the collection and processing of these data are provides in the overview metadata file.


map background search result map search result map 1 Arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection Alaska 2 Arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection National Elevation Dataset NTS 50k Grid Illinois River, Peoria Pool, Spring Valley Quad, 0.5m Contours Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours USGS Gap Analysis Project - Additional Data – Elevation Digital Elevations Models of the State Route 530 Landslide near Oso, Washington, July 2014 to July 2015 Digital Elevation Model (DEM) of Northern Atlantic Coastal Plain topography and bathymetry with a horizontal resolution of 100 feet and vertical unit of 1 integer foot Charles Point digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image) Lake Bluffs digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image) Lidar-derived Data Layers for South Carolina StreamStats, 2007-2013 Digital Elevation Model of Glen Canyon Prior to the Flooding of Lake Powell from Historic Topographic Surveys, Utah and Arizona Digital elevation model of Kīlauea Volcano, Hawaiʻi, based on July 2019 airborne lidar surveys Topobathymetric Digital Elevation Model (TBDEM) of the Milwaukee River Estuary, Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas Digital elevation models and orthoimagery from the 2018 eruption of Veniaminof, Alaska Stage-Storage and Bed Material Data from the 2020 Upper Letts Lake Survey, California Digital elevation models (DEMs) and field measurements of flow velocity used to develop and test multidimensional hydrodynamic models (2D and 3D) for a reach of the upper Sacramento River in northern California Digital elevation model and single beam sonar data from the McKenzie River, Oregon, 2021 Airborne lidar survey of St Vincent, Eastern Caribbean, following the 2020-21 eruption of La Soufrière Volcano Charles Point digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image) Lake Bluffs digital elevation model (DEM) from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (32-bit floating point GeoTIFF image) Digital elevation models (DEMs) and field measurements of flow velocity used to develop and test multidimensional hydrodynamic models (2D and 3D) for a reach of the upper Sacramento River in northern California Illinois River, Brandon Pool 0.5m, Elwood Quad, Contours Digital Elevations Models of the State Route 530 Landslide near Oso, Washington, July 2014 to July 2015 Stage-Storage and Bed Material Data from the 2020 Upper Letts Lake Survey, California Digital elevation models and orthoimagery from the 2018 eruption of Veniaminof, Alaska Illinois River, Peoria Pool, Spring Valley Quad, 0.5m Contours Airborne lidar survey of St Vincent, Eastern Caribbean, following the 2020-21 eruption of La Soufrière Volcano Topobathymetric Digital Elevation Model (TBDEM) of the Milwaukee River Estuary, Milwaukee, Wisconsin and adjacent terrestrial and Lake Michigan nearshore coastal areas Digital elevation model of Kīlauea Volcano, Hawaiʻi, based on July 2019 airborne lidar surveys Digital Elevation Model of Glen Canyon Prior to the Flooding of Lake Powell from Historic Topographic Surveys, Utah and Arizona Lidar-derived Data Layers for South Carolina StreamStats, 2007-2013 Digital Elevation Model (DEM) of Northern Atlantic Coastal Plain topography and bathymetry with a horizontal resolution of 100 feet and vertical unit of 1 integer foot NTS 50k Grid Alaska 2 Arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection USGS Gap Analysis Project - Additional Data – Elevation National Elevation Dataset 1 Arc-second Digital Elevation Models (DEMs) - USGS National Map 3DEP Downloadable Data Collection