Filters: Tags: dem (X) > Types: OGC WMS Layer (X)
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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,
Investigations of coastal change and coastal resources often require continuous elevation profiles from the seafloor to coastal terrestrial landscapes. Differences in elevation data collection in the terrestrial and marine environments result in separate elevation products that may not share a vertical datum. This data release contains the assimilation of multiple elevation products into a continuous digital elevation model at a resolution of 3-arcseconds (approximately 90 meters) from the terrestrial landscape to the seafloor for the contiguous U.S., focused on the coastal interface. All datasets were converted to a consistent horizontal datum, the North American Datum of 1983, but the native vertical datum for...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
CMGP,
California,
Canadian Hydrographic Service,
Chesapeake Bay,
This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data with an average point spacing of 0.137 m (0.45 ft). 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). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
LAS,
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.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Contour,
DEM,
Illinois,
Surface Model,
US,
This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry to approximately 1.3 kilometers (0.8 miles) offshore. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 m; multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Geomorphology,
Great Lakes,
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...
This section of the data release includes the spatial metadata geospatial polygon feature dataset (.shp file) that contains spatial footprints for each input source dataset used to develop the topobathymetric dataset of Great Salt Lake. The attributes for each footprint polygon describe the characteristics of each input dataset used to generate the topobathymetric dataset.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: 3D Elevation Program,
3DEP,
Acoustic Sonar,
Antelope Island,
Bear River,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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...
This dataset is a LAS (industry-standard binary format for storing large 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, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 meters (m); multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. The LAS dataset was used to create a 10-m (32.8084 feet) digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area using the "LAS dataset to raster" tool in Esri ArcGIS, version 10.7. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Pelican Island and Pass La Mer to Chaland Pass Resoration (BA-38) project for 2013. This data is used as a basemap habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: BA-38,
CWPPRA,
Coastal Louisiana,
DEM,
DOQQ,
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 bathymetry 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, 0.055 meters (m); multibeam sonar, 0.511 m; single-beam sonar, 1.687 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) cell size, of the approximate 1.78 square kilometer surveyed area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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...
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 1-Degree DEM,
3D Elevation Program,
3DEP,
Bare Earth,
Cartography,
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....
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 1-degree DEM,
2 arc-second DEM,
3DEP,
Bare Earth,
Cartography,
The Louisiana State Legislature created Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed persuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Atchafalaya Sediment Delivery (AT-02) project for 2016. This data set is used as a basemap for habitat classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: AT-02,
CWPPRA,
Coastal Louisiana,
DEM,
DOQQ,
Investigations of coastal change and coastal resources often require continuous elevation profiles from the seafloor to coastal terrestrial landscapes. Differences in elevation data collection in the terrestrial and marine environments result in separate elevation products that may not share a vertical datum. This data release contains the assimilation of multiple elevation products into a continuous digital elevation model at a resolution of 3-arcseconds (approximately 90 meters) from the terrestrial landscape to the seafloor for the contiguous U.S., focused on the coastal interface. All datasets were converted to a consistent horizontal datum, the North American Datum of 1983, but the native vertical datum for...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry,
CMGP,
California,
Coastal and Marine Geology Program,
DEM,
The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Dierks Lake, Howard and Sevier Counties, Arkansas. The extent of the DEM represents the area encompassing the extent of the aerial Light Detection And Ranging (LiDAR) data used in the project. Horizontal and vertical units are expressed in meters. The DEM was derived from an LAS dataset (an industry-standard binary format for storing aerial LiDAR data) created from point datasets stored in “Dierks2018_gdb”. The point datasets include aerial LiDAR data from a survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017), point data from digitized historical topographic maps, and bathymetric...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ADCP,
AR,
ASCII,
Acoustic,
Arkansas,
In California, the near-shore area where the ocean meets the land is a highly productive yet sensitive region that supports a wealth of wildlife, including several native bird species. These saltmarshes, mudflats, and shallow bays are not only critical for wildlife, but they also provide economic and recreational benefits to local communities. Today, sea-level rise, more frequent and stronger storms, saltwater intrusion, and warming water temperatures are among the threats that are altering these important habitats. To support future planning and conservation of California’s near-shore habitats, researchers examined current weather patterns, elevations, tides, and sediments at these sites to see how they affect...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
Bolinas Lagoon,
CA,
CASC,
California,
The overarching goal of this research was to use site-specific data to develop local and regionally-applicable climate change models that inform management of tidal wetlands along the Pacific Northwest coast. The overarching questions were: (1) how do tidal marsh site characteristics vary across estuaries, and (2) does tidal marsh susceptibility to sea-level rise (SLR) vary along a latitudinal gradient and between estuaries? These questions are addressed in this data collection with three specific objectives: (1) measure topographical and ecological characteristics (e.g., elevation, tidal range, vegetation composition) for tidal marsh and intertidal mudflats, (2) model SLR vulnerability of these habitats, and (3)...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
Bolinas Lagoon,
CA,
CASC,
California,
The elevation contours in this dataset have a 2-foot (ft) interval and were derived from a digital elevation model (DEM) of beach topography and nearshore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1 meter (m; 3.28084 ft) cell size and was created from Lidar data representing beach topography and sonar data representing bathymetry extending approximately 700-800 m offshore. The data cover an approximately 1.75 square kilometer survey area. Lidar data were collected November 01, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected October 31-November 01, 2022 using a Norbit...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
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