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This dataset is a longitudinal profile of the river bed and water surface along the thalweg of a an approximately 500 meter (m) reach of the Kalamazoo River upstream of Plainwell, Michigan (MI). The bed profile was derived from a digital elevation model (DEM) comprising topographic and bathymetric data for the Plainwell reach. Bathymetric data in the river channel were collected in October, 2021 with a single beam sonar and Acoustic Current Doppler Profiler (ADCP) operated along two longitudinal transects and 48 cross-sectional transects, respectively. River bank topographic data were collected with a backpack-mounted terrestrial lidar unit concurrently with the bathymetric data. The water surface profile was developed...
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This dataset contains topographic cross sections spanning the river channel for an approximately 500 meter (m) reach of the Kalamazoo River upstream of Plainwell, Michigan (MI). The 30 cross sections are oriented perpendicular to the channel and spaced evenly along the 500m reach to represent variability in channel geometry. Bankfull hydraulic geometry attributes and complexity metrics were calculated for each cross section. The cross section data were extracted from a digital elevation model (DEM) composed of topographic and bathymetric data, which is contained in this data release. Cross-section data are provided in tabular and graphical form in an Excel spreadsheet and CSV files. The spatial location of the cross-sections...
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This part of the data release presents topography data from northern Monterey Bay, California collected in September 2017 using a tripod-mounted Riegl VZ-1000 lidar scanner (USGS Field Activity 2017-678-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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This part of the data release presents topography data from northern Monterey Bay, California collected in March 2015 using a tripod-mounted Riegl VZ-1000 lidar scanner (USGS Field Activity 2015-625-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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A seamless topographic-bathymetric digital elevation model for an area around Arey Lagoon, Alaska created from a combination of lidar elevation data collected in 2009, single-beam bathymetric data collected in 2011, and NOS sounding data collected in 1948.
Low-resolution shaded relief maps and full resolution DEMs available! The Version 5 (final) Digital Elevation Models have 2-meter post spacing unless specified as (4m) below. File sizes are listed for each file. Shaded relief files are very generalized. Low-resolution shaded relief maps and full resolution DEMs available!
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Sunbury 30 x 60 minute quadrangle Pennsylvania. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 3-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2013 and 2018 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the York 30 x 60 minute quadrangle in Pennsylvania and Maryland. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2014 and 2017 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast...
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The U.S. Geological Survey contracted with Juniper Unmanned to conduct field tests of the ASTRALiTe bathymetric lidar system on the Colorado River near Parshall, Colorado, on June 13, 2019. The objective of this project was to assess the potential to map river bathymetry (i.e., channel bed topography) using lidar data collected from an unmanned aircraft system (UAS). The ASTRALiTe lidar instrument was mounted on a DJI Matrice 600 Pro UAS owned and operated by Juniper Unmanned. As part of the study, Juniper's pilot flew the ASTRALiTe instrument across 2 river transects (cross-stream) on the Colorado River. This data release includes data delivered to the USGS by ASTRALite on August 1, 2019. The data have been parsed...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Active channel as defined by remote sensing before (2010) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada.
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The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled from multiple sources, but principally represent lidar-derived linework from the South Carolina Department of Natural Resources and the South Carolina Lidar Consortium.The South Carolina hydrography lines were created from elevation rasters that ranged from 4 to 10 ft resolution, to produce a product of approximately 1:6,000-scale....
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Abbeville County, Aiken County, Allendale County, Anderson County, Bamberg County, All tags...
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This section of the data release includes drillhole information in the format of a comma-separated value (CSV) file (2018LakePowellCoring_DrillholeInfo.csv). It is Part 1 (of four) in this data release and represents the broadest hierarchical information on the dataset including the drillhole name, location, water depth, sediments top and bottom, drillhole depth, and recovery for each coring location. Each drillhole comprises multiple cores which are outlined in “Part 2 – Core and core section information from the 2018 coring project in Lake Powell, Utah” (2018LakePowellCoring_CoreSectionInfo.csv) of this data release. Core logs and spectrophotometry data are available in “Part 3 – Multi-Sensor Core Logger and spectrophotometry...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Animas River, Antelope Canyon, Bears Ears National Monument, Bullfrog, Bullfrog Bay, All tags...
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U.S. Geological Survey Northeast 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.
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for the area surrounding Blackwater National Wildlife Refuge in Chesapeake Bay using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (3699 points, collected across four tidal marsh sites in Chesapeake Bay (Eastern Neck, Martin, Bishops Head, and Blackwater) in 2010 and 2017. Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image...
Low-resolution shaded relief maps and full resolution DEMs available! The Version 5 (final) Digital Elevation Models have 2-meter post spacing unless specified as (4m) below. File sizes are listed for each file. Shaded relief files are very generalized. Low-resolution shaded relief maps and full resolution DEMs available! This DEM comes in two files; doorlye.zip and the doorly1 PDF are for the eastern portion of the surveyed area, while doorlyw.zip and the doorly2 PDF are for the western portion.
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This represents the flowline network in Western Lale Erie Restoration Assessment (WLERA). It is attributed with the number of disconnections between the reach and the connecting river system. These data will help identify the condition of hydrologic separation between potential restoration areas and the connecting river system. Low numbers represent fewer disconnections such as culverts between the reach and the rivers requiring no flow network modification to restore the area.
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Artificial Path, Canal / Ditch, FWHydrography, Great Lakes, Hydrography, All tags...
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The Niobrara River is a National Scenic River in northern Nebraska. The Niobrara River is characterized by a sand channel with areas of gravel and bedrock. Bathymetric and topographic surveys were completed at five sites (Norden, Meadville, Mariaville, Spencer, and Niobrara) on the Niobrara River in August 2020. The bathymetric data were collected using Acoustic Doppler Current Profilers (ADCPs) attached to kayaks. The ADCP data were collected on transects and between the transects following the flow of the river at each site. Topographic data including water surface elevations were collected with survey grade Global Navigation Satellite Systems (GNSS). A temporary reference point was established at each of...
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
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Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.


map background search result map search result map UMRR Pool 14 Topobathy UMRR Pool 22 Topobathy Western Lake Erie Restoration Assessment Degree Flowlines Terrestrial lidar data from northern Monterey Bay, California, March 2015 Terrestrial lidar data from northern Monterey Bay, California, September 2017 Stream Lines Used to Produce the South Carolina StreamStats 2018 Release Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 Active channel in the Lower Virgin River before a 40 yr flood (December 2010) Bathymetric lidar data from the Colorado River, near Parshall, Colorado, June 13, 2019 ElevMHW: Elevation adjusted to local mean high water: Assateague Island, MD & VA, 2014 Seamless topo-bathy digital elevation model (DEM) of Arey Lagoon, Alaska Part 1 – Drillhole information from the 2018 coring project in Lake Powell, Utah Niobrara River Bathymetric and Topographic Surveys to Assess Topobathymetric Lidar Accuracy, 2020 Enhanced Terrain Imagery of the York 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Sunbury 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Channel Cross Sections of Kalamazoo River Reference Reach upstream of Plainwell, Michigan, 2021 U.S. Geological Survey Northeast Region Inland to Coastal Zone Bathymetric Surveys Longitudinal Profile for Kalamazoo River Reference Reach upstream of Plainwell, Michigan, 2021 Bathymetric lidar data from the Colorado River, near Parshall, Colorado, June 13, 2019 Channel Cross Sections of Kalamazoo River Reference Reach upstream of Plainwell, Michigan, 2021 Longitudinal Profile for Kalamazoo River Reference Reach upstream of Plainwell, Michigan, 2021 Terrestrial lidar data from northern Monterey Bay, California, September 2017 Terrestrial lidar data from northern Monterey Bay, California, March 2015 Seamless topo-bathy digital elevation model (DEM) of Arey Lagoon, Alaska UMRR Pool 14 Topobathy UMRR Pool 22 Topobathy Active channel in the Lower Virgin River before a 40 yr flood (December 2010) Blackwater LEAN-Corrected Chesapeake Bay Digital Elevation Models, 2019 ElevMHW: Elevation adjusted to local mean high water: Assateague Island, MD & VA, 2014 Enhanced Terrain Imagery of the York 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Sunbury 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Western Lake Erie Restoration Assessment Degree Flowlines Part 1 – Drillhole information from the 2018 coring project in Lake Powell, Utah Stream Lines Used to Produce the South Carolina StreamStats 2018 Release U.S. Geological Survey Northeast Region Inland to Coastal Zone Bathymetric Surveys