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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...
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"NewEngland_pkflows.PRT" is a text file that contains results of flood-frequency analysis of annual peak flows from 186 selected streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the New England region (Maine, Connecticut, Massachusetts, Rhode Island, New York, New Hampshire, and Vermont). Only streamgages in the region that were also in the USGS "GAGES II" database (https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml) were considered for use in the study. The file was generated by combining PeakFQ output (.PRT) files created using version 7.0 of USGS software PeakFQ (https://water.usgs.gov/software/PeakFQ/; Veilleux and others, 2014) to conduct flood-frequency...
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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...
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The U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Transportation, estimated flood magnitudes for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEP) for unregulated streamgages in Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, using data through water year 2020. Regression equations which can be used to estimate flood magnitude and associated frequency at ungaged streams were developed. The methods and results of the study are published in a separate report (https://doi.org/10.3133/sir20235014). This data release contains (1) a folder with the PeakFQ output files for each streamgage, ".PRT" and ".EXP" files, for use in...
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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...
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A bathymetric survey of Blue Mountain Lake, Arkansas, was conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers (USACE), Little Rock District. From the combined point data, a terrain dataset (a type of triangulated irregular network, or TIN model) was created in Esri ArcGIS for the lakebed within the extent of pool elevation 420 feet above the North American Vertical Datum of 1988 (NAVD88). Products included...
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This data release contains annual peak-flow data and PeakFQ output files for 186 selected streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the New England region (Maine, Connecticut, Massachusetts, Rhode Island, New York, New Hampshire, and Vermont). The annual peak-flow data were obtained from the USGS National Water Information System (NWIS) database (https://nwis.waterdata.usgs.gov/usa/nwis/peak) and contain annual peak flows ending in water year 2011. The annual peak flows were used in version 7.0 of USGS software PeakFQ (https://water.usgs.gov/software/PeakFQ/; Veilleux and others, 2014; Flynn and others, 2006) to conduct flood-frequency analyses using the Expected Moments...
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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...
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A bathymetric survey of Nimrod Lake, Arkansas, was conducted in late April to mid-May, 2016, by the Lower Mississippi-Gulf Water Science Center (LMG WSC) of the U.S. Geological Survey (USGS) using methodologies for sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Point data from the bathymetric survey were merged with point data from an aerial LiDAR survey conducted in December, 2010, that were provided by the U.S. Army Corps of Engineers (USACE), Little Rock District. From the combined point dataset, a terrain dataset (a type of triangulated irregular network, or TIN, model) was created in Esri ArcGIS, version 10.5, for the area within the approximate extent...
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These datasets contain XYZ locations and other attributes of points from topographic bank surveys at six sites downstream from three dams on the Coosa River in Alabama, from October 2014 through July 2017. At the four sites downstream from H. Neely Henry and Walter Bouldin Dams, topographic data were collected using a motion-compensated LiDAR (MC-LiDAR) system mounted on a marine survey vessel equipped with an inertial navigation system (INS). Data were collected as the vessel traversed the river along a survey line near the site. Data collection software integrated and stored the range and angular measurements from the LiDAR, and the horizontal and vertical position and attitude data of the vessel from the INS...
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"NewEngland_pkflows.txt" contains annual peak-flow data for 186 selected streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the New England region (Maine, Connecticut, Massachusetts, Rhode Island, New York, New Hampshire, and Vermont). Only streamgages in the region that were also in the USGS "GAGES II" database (https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml) were considered for use in the study. The annual peak-flow data were obtained from the USGS National Water Information System (NWIS) database (https://nwis.waterdata.usgs.gov/usa/nwis/peak) and contain annual peak flows ending in water year 2011. The annual peak flows were used in version 7.0 of...
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The dataset includes flood-frequency data and related files for 211 streamgages operated by the U.S. Geological Survey (USGS) in Louisiana and parts of the surrounding states of Arkansas, Mississippi, and Texas as well as assembled explanatory variables (physical, climatic, and land-use characteristics of the basins). The data in this release were used in generalized least-squares (GLS ) regression analyses (Stedinger and Tasker, 1985) to generate equations used to predict annual exceedance probabilities (AEPs) at ungaged locations on streams in the study area (Ensminger and others, 2021). Flood-frequency analyses were conducted using annual peak-flow data from the 1877-2016 water years to estimate streamflows...
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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...
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In January 2020, the North Carolina Department of Transportation (NCDOT) began work on the Interstate 26 (I 26) highway widening project that involves a bridge crossing over the French Broad River (FBR) near Asheville, North Carolina. To track potential impacts from construction activities, the U.S. Geological Survey (USGS) in cooperation with the NCDOT conducted a single-beam bathymetric survey in June of 2019, approximately seven months before construction began. The survey extended from 300 meters (m) upstream to 500 m downstream from the I 26 bridge located south of Asheville, North Carolina. Depth data were collected using a CEESCOPE single-beam echosounder mounted to a canoe. Position and elevation data were...
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This dataset compiled 24 years of U.S. Geological Survey (USGS) seepage-run data from 15 studies covering southern Missouri and northern Arkansas in the Ozark Plateaus Physiographic Province (Ozarks). Previously these data were only available separately from the original USGS studies. The dataset can be used in surface-water and groundwater investigations assessing water quantity, quality, and availability in the Ozarks. The dataset includes "Ozark Plateaus seepage flow-line dataset, southern Missouri and northern Arkansas, 1982-2006" and "Ozark Plateaus seepage point dataset, southern Missouri and northern Arkansas, 1982-2006". Seepage-run data were collected by measuring discharge at points along a stream,...
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This dataset was compiled to summarize discharge measurements from several published groundwater and surface-water studies in the Ozarks of southern Missouri and northern Arkansas. The discharge measurements were part of numerous USGS studies to assess interaction between streams and groundwater aquifers. A gaining stream is described as a surface-water stream that gains water from the groundwater aquifer and a losing stream is described as a surface-water stream that loses water to the groundwater aquifer. This product is intended to be used in surface-water and groundwater investigations assessing water quantity, quality, and availability. The product includes flow-line data digitized along National Hydrography...
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The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetry of Gillham Lake, Sevier County, 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 “Gillham2018_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 data from...
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This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data representing beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LiDAR points in the dataset is 0.137 meters (m; 0.45 feet [ft]). The LAS dataset was used to create a 1-m (3.28084 ft) digital elevation model (DEM) of the approximately 4 kilometer (2.5 mile) surveyed reach of the beach. 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...
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These datasets contain XYZ locations and other attributes of points from topographic bank surveys of sites LM102 and LM108 downstream from Logan Martin Dam near Vincent, Alabama, from October 16, 2014, through July 18, 2017. Topographic data were collected using a tripod-based terrestrial LiDAR (T-LiDAR) system at several tripod setups distributed throughout the reach. Data collection software integrated and stored the range and angular measurements from the T-LiDAR. Computer software was utilized to process the raw data files, align the various scans in reference to one another, and extract the topography data in a usable format. Point cloud comparison software was then used to compute the distance and volume gain...
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A bathymetric survey of Dierks Lake, Arkansas, was conducted in late June - early July 2018 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Surveys using methodologies for sonar surveys similar to those described by Wilson and Richards (2006) and Richards and Huizinga (2018). Data from the bathymetric survey were combined with data from an aerial Light Detection And Ranging (LiDAR) survey conducted in 2016 by the National Resources Conservation Service (U.S. Geological Survey, 2017) to create a digital elevation model (DEM) of the extent of the flood pool of the lake and compute volume (storage capacity) of the lake at 1-foot increments in water surface elevation from 444-557 feet (ft)...
map background search result map search result map Ozark Plateaus seepage run dataset, southern Missouri and northern Arkansas, 1982-2006 Ozark Plateaus seepage flow-line dataset, southern Missouri and northern Arkansas, 1982-2006 Bathymetry and Storage Capacity of Blue Mountain Lake, Arkansas. Bathymetry and Storage Capacity of Nimrod Lake, Arkansas Erosion Monitoring along the Coosa River, Alabama, using Terrestrial Light Detection and Ranging (T-LiDAR) Technology, 2014-2017 Coosa River Bank Topography and Comparisons at Logan Martin Dam sites LM102 and LM108, near Vincent, Alabama, October 2014 - July 2017 Bathymetry and Storage Capacity of Dierks Lake, Arkansas Digital elevation model of the bathymetry of Gillham Lake, Arkansas (ver. 1.1, April 2020) Digital elevation model, in meters, of the bathymetry of Dierks Lake, Arkansas Annual peak-flow data and PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows Peak-flow files for 186 selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 LAS dataset of LiDAR data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Single-beam bathymetric survey of the French Broad River near the Interstate 26 bridge located South of Asheville, NC – June 2019, Pre-construction Flood-frequency of rural, non-tidal streams in Louisiana and parts of Arkansas, Mississippi, and Texas, 1877-2016 Generalized least-squares WREG regression files for Hawaiʻi flood-frequency analysis, based on data through water year 2020 Coosa River Bank Topography and Comparisons at Logan Martin Dam sites LM102 and LM108, near Vincent, Alabama, October 2014 - July 2017 Single-beam bathymetric survey of the French Broad River near the Interstate 26 bridge located South of Asheville, NC – June 2019, Pre-construction Digital elevation model (DEM) of beach topography of Lake Superior at Minnesota Point, Duluth, MN, August 2019 LAS dataset of LiDAR data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 LAS dataset of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 XYZ files of LiDAR and sonar data collected at Lake Superior at Minnesota Point, Duluth, MN, August 2019 Beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, August 2019 Bathymetry and Storage Capacity of Blue Mountain Lake, Arkansas. Bathymetry and Storage Capacity of Dierks Lake, Arkansas Digital elevation model of the bathymetry of Gillham Lake, Arkansas (ver. 1.1, April 2020) Digital elevation model, in meters, of the bathymetry of Dierks Lake, Arkansas Erosion Monitoring along the Coosa River, Alabama, using Terrestrial Light Detection and Ranging (T-LiDAR) Technology, 2014-2017 Ozark Plateaus seepage flow-line dataset, southern Missouri and northern Arkansas, 1982-2006 Generalized least-squares WREG regression files for Hawaiʻi flood-frequency analysis, based on data through water year 2020 Flood-frequency of rural, non-tidal streams in Louisiana and parts of Arkansas, Mississippi, and Texas, 1877-2016 Ozark Plateaus seepage run dataset, southern Missouri and northern Arkansas, 1982-2006 Annual peak-flow data and PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows Peak-flow files for 186 selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows