The U.S. Geological Survey (USGS), in cooperation with the Green Berkshires, Inc., has compiled Geographic Information Systems (GIS) datasets consisting of raster and vector data used to generate lidar-derived hydrography. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). The vector data are in Esri shapefile format and include a Breach_Lines.shp file used to breach digital flow dams or obstructions in the DEM (connect erroneously disconnected flow) to aid flow direction processes and hydrologic conditioning; a Headwater_Seed_Points.shp file to guide stream network delineation; a Stream_Network_Karner_Brook_Watershed.shp file derived from the high-resolution lidar DEM that shows stream location; a Watershed_Boundary_Karner_Brook.shp file derived from the hydro-enforcement representing the greater Karner Brook watershed area; and a Potential_Wetlands.shp file derived from the DEM and used to help identify possible wetland locations in the Karner Brook watershed. The raster datasets are in GeoTIFF format and include the dem_clip_m_1.tif, digital elevation model clipped to the Karner Brook basin extent; an fdr_cf.tif, predicting the direction of flow based on the direction of the steepest drop in elevation; and an fac_cf.tif, predicting the number of upstream cells flowing into each one-meter cell.

Light Detection and Ranging (LIDAR) was conducted in the vicinity of USGS gaging station #07094500 on the Arkansas River at Parkdale, Colorado, were collected on March 19-20, 2018, using a terrestrial laser scanner. Data were processed to generate classified a three-dimensional point cloud of the floodplain topography.

This dataset describes survey data collected for the Bureau of Reclamation (Reclamation), the agency in charge of regulating Colorado River water control operations impounding the Lake Powell reservoir. Additional intent of the collected data was to assure consistencies among gaging elevations at Glen Canyon Dam near Page, Arizona as well as verification and alignment of a recently published topobathymetric digital elevation model for Lake Powell. Glen Canyon Dam is a concrete arch-gravity dam on the Colorado River in northern Arizona and is the second largest man-made reservoir in the United States. The location was chosen to survey due to uncertainty in the local datum used by the Reclamation as well as uncertainties regarding elevation consistencies among the local United States Geological Survey (USGS) gaging operation 09379900 Lake Powell at Glen Canyon Dam, Arizona. The primary component of the survey involved a differential leveling campaign derived from fiducial benchmarks used to perpetuate elevation to a variety of objective points. Additionally, the survey consisted of a Global Navigation Satellite System (GNSS) (Rydlund and Densmore, 2012) campaign constrained to fiducial benchmarks that were used to develop network solutions at the same objective points derived by leveling. This Level I static network GNSS campaign was conducted to quality assure the leveling campaign as well as integrate ellipsoid and geoid height characteristics tied to active monumentation. A third GNSS campaign involved a level III single-base static survey of Lake Powell water-surface elevations that were conducted at marina locations of Antelope and Wahweap, Arizona, along with a location at Bullfrog, Utah to provide comparison and assure alignment of the topobathymetric digital elevation model used to develop a current area capacity table at Lake Powell. Six items containing the survey data and the relevant information are available for download. They are GCD_USBR_LEVEL_SUMMARY.csv, GCD_USBR_LEVEL_SUMMARY.zip, GCD_USBR_MARK_RECOVERY.zip, GCD_USBR_STATIC_NETWORK.csv, GCD_USBR_WSE.csv, and GCD_USBR_LAKE_SURVEY.zip. Differential leveling final elevation for selected objective points are located in GCD_USBR_LEVEL_SUMMARY.csv. Field notes and details representing fiducial benchmarks and objective points within the differential leveling campaign are located in GCD_USBR_LEVEL_SUMMARY.zip. Fiducial marks recovery photographs and integration of USGS recovery forms are located in GCD_USBR_MARK_RECOVERY.zip. GNSS survey solutions referenced in Arizona State Plane Central Zone 0202, Universal Transverse Mercator 12 North, and Geographic (Decimal Degrees) are located in GCD_USBR_STATIC_NETWORK.csv. Orthometric heights in both Geoid 18 and Geoid 12b along with comparisons to differential leveling surveys are also located in GCD_USBR_STATIC_NETWORK.csv. The Lake Powell survey solutions are in the same format as GCD_USBR_STATIC_NETWORK.csv but located in GCD_USBR_WSE.csv. Photographs and USGS GNSS Level IV static observation forms of the lake survey are located in GCD_USBR_LAKE_SURVEY.zip. References Cited: Rydlund, P.H., Jr., and Densmore, B.K., 2012, Methods of practice and guidelines for using survey-grade global navigation satellite systems (GNSS) to establish vertical datum in the United States Geological Survey: U.S. Geological Survey Techniques and Methods, book 11, chap. D1, 102 p. with appendixes., https://doi.org/10.3133/tm11D1.

Lidar Digital Elevation Models (DEMs) at 2-meter resolution have been used to derive watershed boundaries for the State of Maine. Geographic Information Systems (GIS) software was used to hydrologically enforce lidar DEMs and delineate watershed boundaries at pre-existing pour point locations (Price, 2016). The watershed boundaries are comparable in size to the 12-digit Hydrologic Unit catchments and have a 12-digit Hydrologic Unit Code (HUC12) identifier attribute field that has a one-to-one match with the national WBD dataset (https://www.usgs.gov/national-hydrography/watershed-boundary-dataset). This data release consists of a zip file containing an ESRI polygon shapefile (vector GIS dataset). This work was conducted in cooperation with Maine Department of Transportation and Maine Office of GIS. Curtis Price, 20160606, WBD HU12 Pour Points derived from NHDPlus: U.S. Geological Survey data release, https://www.sciencebase.gov/catalog/item/5762b664e4b07657d19a71ea

The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a stream network centerline polyline shapefile derived from the hydro-enforcement that shows stream location; a sub-basin polygon shapefile derived from the hydro-enforcement representing watershed areas for all stream network centerline polylines; a flow direction raster, predicting the direction of flow based on direction of steepest drop; and a flow accumulation raster, predicting the number of upstream cells flowing into each one-meter cell. Field verification was conducted for locations where the high-resolution lidar digital elevation models were unclear on hydraulic connection. Photographs were captured to confirm the conveyance of flow. The datasets are provided in separate child items.

Measurements of Metolachlor collected at American River At Head Waters Of Folsom South Canal. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

The U.S. Geological Survey contracted with LiteWave Technologies (formerly ASTRALiTe) to fly their production topo-bathymetric lidar system (Edge) along the Colorado River near McCoy, Colorado, on September 8-9, 2021. The objective of this project was to assess the potential to map river bathymetry (i.e., river-bed topography) using lidar data collected from an uncrewed aircraft system (UAS). The Edge was mounted on a UAS owned and operated by LiteWave Technologies. This data release includes data delivered to the USGS by LiteWave Technologies on November 9, 2021. Grid coordinates are projected in Universal Transverse Mercator Zone 13 North and are represented in units of meters. The topo-bathymetric elevations, in units of meters, delivered by the contractor are believed to be relative to the height of the GRS80 ellipsoid and differ from the more commonly used orthometric height computed by the addition of the geoid height to the GRS80 ellipsoid. The data is provided as a LAS file which includes points classified as bathymetric or river bottom (code 40), created, never classified (code 0), and water surface returns (code 41). These data delivered to USGS have not been filtered or modified.

Measurements of Perchlorate collected at Delta Mendota Canal At Bass Avenue. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

This data release presents two datasets including waterbodies (reservoirs, lakes, ponds, wetlands, etc.) and flowlines (stream reaches) from the high-resolution National Hydrography Dataset Plus (NHDPlus HR) that are potentially observable from Landsat images for the United States (excluding Alaska). To determine where National Hydrography Dataset Plus high resolution (NHDPlus HR; USGS 2019) features intersect locations with observed water, a workflow was developed using the Global Surface Water Extent dataset (GSWE; Pekel et al. 2016) to specify where water was observed by Landsat from 1984 to 2019. The workflow determines where the extent of NHDPlus HR water features (waterbodies and areas) overlaps the maximum extent of Landsat-observed water (as defined by GSWE), then removes edge pixels to determine if any pure water pixels are observable by Landsat within a water feature’s extent. Each pure-water pixel within NHDPlus HR area features (i.e. rivers represented by polygons) was associated with the nearest NHDPlus HR flowline. The result identifies flowlines and waterbodies (as defined by NHDPlus HR) that contain at least one estimated pure-water pixel from the GSWE and are thus ‘potentially resolvable’. The resulting datasets can be linked to the NHDWaterbodies and NHDFlowline layers of NHDPlus HR to identify waterbodies where remote sensing may be a suitable monitoring method.