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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
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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 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 extended approximately 0.85 kilometer (0.5 miles) offshore, for an approximately 1.87 square kilometer surveyed area. Lidar data were collected July 28, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 28-29, 2020 using...
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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 near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, 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 single-beam and multibeam sonar data representing the bathymetry. The survey area extended approximately 0.85 kilometers (0.5 miles) offshore, for an approximate 1.87 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne VLP-16 unit. Multibeam sonar data were collected...
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The U.S. Geological Survey, in cooperation with Colorado Springs Utilities, has been collecting topographic data annually since 2012 at 10 study areas along Fountain Creek, Colorado. The 10 study areas are located along Fountain Creek between Colorado Springs and the confluence of Fountain Creek and the Arkansas River in Pueblo. This data release presents topographic survey data, Light Detection and Ranging (lidar) survey data, elevation rasters, and elevation-change rasters collected or generated in 2022 as part of that monitoring effort. Topographic survey points were collected using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS). These point data, along with lidar point clouds, were used to...
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Inundation is a critical parameter of wetland hydrologic performance. This study uses Annual Habitat Survey data from 2004 to 2012 in the Rainwater Basin in south-central Nebraska to examine differences between the actual inundation conditions and three datasets: the National Wetland Inventory (NWI), the Soil Survey Geographic database (SSURGO), and LiDAR-derived depressions. The results show that current wetland inundated areas were well overlaid with these datasets (99.9% in SSURGO data, 67.9% in NWI data, and 87.3;% in LiDAR-derived depressions). However, the hydrologic degradation of playa wetlands was not reflected in these datasets. In SSURGO data, only 13.3% of hydric soil footprint areas were inundated and...
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This part of the data release presents topography data from northern Monterey Bay, California collected in March 2017 using a tripod-mounted Riegl VZ-1000 lidar scanner (USGS Field Activity 2017-620-FA). For each area surveyed, the scanner was placed at several positions which were selected to provide maximum line-of-sight coverage of the area of interest. Scans were typically conducted in panoramic mode, creating a detailed point cloud of all unobstructed surfaces in a 360 degree view of the scanner. At each scan position, co-registered photographic imagery was also collected with a scanner mounted DSLR camera. Scanner registration was performed by placing four or more cylindrical or flat reflective tripod-mounted...
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The USGS St. Petersburg Coastal and Marine Science Center (USGS St. Pete) processed lidar topographic data in Alaska. Raw lidar data are not in a format that is generally usable by resource managers and scientists for scientific analysis. Converting dense lidar elevation data into a readily usable format without loss of essential information requires specialized processing. Project included processing of lidar data acquired in Summer 2010 along the North Slope of Alaska between Colville River and Hulahula River.
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Over the last 3 years, high-resolution LiDAR elevation data has been acquired for much of the northern coast of Alaska in support of the USGS Coastal and Marine Geology Program’s National Assessment of Shoreline Change project. Because of funding limitations, LiDAR data were not collected over most river deltas and embayments. Subsequent discussions with scientists and managers from both public agencies and private organizations indicated a need and desire to fill the gaps in the coastal elevation data set, specifically over the low-lying deltas and estuaries that provide important habitat for migratory birds and other wildlife. The Arctic LCC provided support to help cover costs associated with acquiring and processing...
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Hurricane Sandy, which made landfall on October 29, 2012, near Brigantine, New Jersey, had a significant impact on coastal New Jersey, including the large areas of emergent wetlands at Edwin B. Forsythe National Wildlife Refuge (NWR) and the Barnegat Bay region. In response to Hurricane Sandy, U.S. Geological Survey (USGS) has undertaken several projects to assess the impacts of the storm and provide data and scientific analysis to support recovery and restoration efforts. As part of these efforts, the USGS Coastal and Marine Geology Program (CMGP) sponsored Coastal National Elevation Database (CoNED) Applications Project in collaboration with the USGS National Geospatial Program (NGP), and National Oceanic and...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Bluefield 30 x 60 minute quadrangle in West Virginia and Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2020 and 2022. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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This child data release includes fused topo-bathymetric digital elevation models of the Merced and Tuolumne Rivers in California used to support research on anadromous salmonids. The purpose of this study was to calculate the capacity for reintroduction of salmonids above impassable barriers. Airborne, near-infrared (NIR) LiDAR and hyperspectral imagery were acquired simultaneously in September 2014 from a Cessna Caravan, with the LiDAR data used to map topography of dry land and the imagery used to map water depth in the wetted channel. Topo-bathymetric DEMs of channels and floodplains with 1-m resolution were constructed for the study reaches by using remotely sensed hyperspectral image data to estimate water...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Marlinton 30 x 60 minute quadrangle in West Virginia. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2020 and 2021. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Hagerstown 30 x 60 minute quadrangle in Pennsylvania, Maryland, and part of West Virginia. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2016 and 2023. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation. First release: 2012 Revised: February...


map background search result map search result map 2014: Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey UMRR Mississippi River Navigation Pool 18 Bathymetry Footprint Examining Playa Wetland Inundation Conditions for National Wetland Inventory, Soil Survey Geographic Database, and LiDAR Data Terrestrial lidar data from northern Monterey Bay, California, March 2017 North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River Topo-bathymetric digital elevation models of the upper Merced and Tuolumne Rivers in California derived from hyperspectral image data and near-infrared LiDAR acquired in 2014 Duluth Entry: 2-foot Elevation contours of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, July 2020 Enhanced Terrain Imagery of the Hagerstown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution (ver. 1.1, February 2024) Elevation Data from Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2022 Elevation contours of beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, October 2021 Enhanced Terrain Imagery of the Marlinton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Bluefield 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Duluth Entry: 2-foot Elevation contours of beach topography and near-shore bathymetry of Lake Superior at the Duluth Entry, Duluth, MN, July 2020 Elevation contours of beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, October 2021 Terrestrial lidar data from northern Monterey Bay, California, March 2017 Elevation Data from Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2022 2014: Delineation of Water Bodies in Emergent Wetlands in Coastal New Jersey Enhanced Terrain Imagery of the Hagerstown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution (ver. 1.1, February 2024) Enhanced Terrain Imagery of the Marlinton 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Bluefield 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Topo-bathymetric digital elevation models of the upper Merced and Tuolumne Rivers in California derived from hyperspectral image data and near-infrared LiDAR acquired in 2014 Examining Playa Wetland Inundation Conditions for National Wetland Inventory, Soil Survey Geographic Database, and LiDAR Data North Slope Alaska Admiralty Bay LiDAR Alaska LiDAR Data Processing - Colville to Staines River