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Located in the northern tropical Pacific Ocean, Majuro is the capital of the Republic of the Marshall Islands. Majuro Atoll consists of a large, narrow landmass and a set of smaller perimeter islands surrounding a lagoon that is over 100 square miles in size. The waters surrounding the Majuro Atoll land areas are relatively shallow with poorly mapped bathymetry. However, the Pacific Ocean on the exterior of the coral atoll and the lagoon within its interior consist of deep bathymetry with steep slopes. The highest elevation of the Majuro Atoll is estimated at only 3-meters above sea level, which is the island community of Laura located on the western part of the atoll. At the eastern edge of the atoll lies the capital...
Categories: Data;
Tags: 3D Elevation Program,
3DEP,
American Society of Photogrammetry and Remote Sensing,
Base Maps,
Bathymetric,
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 section of the data release includes the topobathymetric elevation dataset of Great Salt Lake as an assimilated raster comprising interpolated bathymetry from 2005 and 2006 (Baskin, 2005; Baskin, 2006) and QL1 and QL2 lidar from 2016 (Utah Geospatial Resource Center, 2016). The bathymetric dataset was originally published as contour maps. The contours were interpolated to develop a digital elevation model that is readable by a geographic information system and compatible with topographic lidar data generated in 2016. Because the water elevation of Great Salt Lake has declined since 2005, regions of the bathymetric and lidar datasets overlap to provide a reasonable estimate of error. The topobathymetric dataset...
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between March 8th and 25th, 2021 at four sites along coastal North Carolina and South Carolina using high accuracy surveying technologies. The work was initiated as an effort to validate a topobathymetric digital elevation model (TBDEM) produced for the area that was directly impacted by Hurricane Florence in 2018. The goal was to compare the airborne lidar and sonar derived TBDEM to data collected through more traditional means (e.g. Global Navigational Satellite System (GNSS) surveying). In addition, coastal dunes were mapped with ground based lidar (GBL) for computation of dune metrics. The Hurricane Florence TBDEM will support the...
This section of the data release includes tables in the format of comma-separated value (CSV) files with elevation-area-volume relationships for Great Salt Lake. The volume and area of Great Salt Lake were calculated from the topobathymetric raster dataset, which was resampled from 0.5-meter to 5.0-meter resolution, at elevation increments of 0.01 feet between 4,170.00–4,215.00 ft above the North American Vertical Datum of 1988. Data are provided as total values for Great Salt Lake as well as regional values for the north arm, south arm, Bear River Bay, and Farmington Bay.
This data release is associated with the following Scientific Investigations Report: Root, J.C. and Jones, D.K., 2022, Elevation-area-capacity relationships of Lake Powell in 2018 and estimated loss of storage capacity since 1963: U.S. Geological Survey Scientific Investigations Report 2022–5017, 21 p., https://doi.org/10.3133/sir20225017. This dataset provides elevation-area-capacity relationships for Lake Powell derived from a topobathymetric digital elevation model (TBDEM) that was collected in 2017 and 2018. The TBDEM was modified (Jones and Root, 2021, available for download at https://doi.org/10.5066/P9H60YCF) from the originally published version (Poppenga and others, 2020, available for download at https://doi.org/10.5066/P9XX0J1Y)...
This topobathymetric elevation dataset of Great Salt Lake includes an assimilated topobathymetric raster comprising interpolated bathymetry from 2005 and 2006 (Baskin, 2005; Baskin, 2006) and QL1 and QL2 lidar from 2016 (Utah Geospatial Resource Center, 2016). The bathymetric dataset was originally published as contour maps. The contours were interpolated to develop a digital elevation model that is readable by a geographic information system and compatible with topographic lidar data generated in 2016. Because the water elevation of Great Salt Lake has declined since 2005, regions of the bathymetric and lidar datasets overlap to provide a reasonable estimate of error. The topobathymetric dataset was generated with...
This dataset provides a modified version of the previously published Lake Powell topobathymetric digital elevation model (TBDEM; Poppenga and others, 2020). The original TBDEM is comprised of four source datasets: (1) a 2017 1-meter multibeam bathymetric survey; (2) a 2018 topographic light detection and ranging (lidar) derived digital elevation model (DEM); (3) a historical topographic DEM that was interpolated from contours maps created in 1947 and 1959; and (4) interpolated topography where gaps existed in the bathymetric and lidar data or where historical data were not suitable (Poppenga and others, 2020). For this data release, two corrections were made to the TBDEM to address errors associated with the historic...
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