Jayme M Strange Jenny L Hanson 20210201 Raster Digital Data Set https://doi.org/10.5066/P9O0QH8B The U.S. Geological Survey (USGS) collected hydroacoustic data of the St. Croix River adjacent to the Osceola (WI) boat ramp for hydrographic and benthic mapping prior to the reconstruction project implemented by the National Park Service (NPS). High-resolution bathymetry data was surveyed using a multibeam sonar. The depth and characteristics of the riverbed are important parameters of habitat for benthic (bottom-dwelling) organisms, and are a fundamental parameter for riverine ecosystems. These datasets were desired by the NPS to help inform and mitigate potential impacts to mussels or benthic habitat. The NPS has been planning the reconstruction of the Osceola, WI boat ramp within the St. Croix National Scenic Riverway. Prior to construction, the NPS wanted to complete hydrographic/topographic surveys and maps of the river bottom adjacent to the boat ramp to mitigate potential impacts to mussels or benthic habitat. Effective mapping, analysis, and visualization of river habitat is important because the river bed environment is not readily viewed directly by eye. Multibeam Echo Sounder (MBES) systems produce high-resolution bathymetry and backscatter data that can be used to obtain information about the sediment composition and physical properties of the riverbed. Acoustic Doppler current profilers (ADCP) measuring river current velocities are a desired component needed to model physical and hydraulic variables in relation to native mussel habitat. Lidar collected simultaneously with bathymetry data provides topographic information along the shorelines which relates the river bank to the adjacent uplands and floodplain functions. Development of these spatial visualization tools provides viewing of modeled datasets in a digital environment to better understand the complex benthic habitat corridors where freshwater mussels reside, and will provide resource managers information to more accurately assess environmental factors that influence mussel distributions. Water surface elevation for this data was 212.58m (NAVD88). This data should not be used for navigation purposes. 20191016 ground condition Complete None planned -92.719266 -92.707549 45.323765 45.315360 USGS Thesaurus bathymetry multibeam sonar river systems sea-floor acoustic reflectivity sea-floor characteristics digital elevation models Data Categories for Marine Planning Bathymetry and Elevation USGS Metadata Identifier USGS:601437acd34e162231fee1ac Common geographic areas Minnesota Wisconsin St. Croix None None. Jenny L Hanson U.S. Geological Survey, MIDCONTINENT REGION Biologist mailing address

2630 Fanta Reed Road

La Crosse WI 54603 US 608-781-6372 608-783-8058 jhanson@usgs.gov National Park Service Denver Service Center; National Park Service St. Croix National Scenic Riverway Environment as of Metadata Creation: Microsoft [Unknown] Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.1 (Build 11595) Service Pack N/A (Build N/A) All attribute values were quality controlled for high and low noise. All values fall within the expected range. The data are complete for the study area. Horizontal accuracy has an estimated standard deviation of 0.08 m. Vertical accuracy has an estimated standard deviation of 0.18 m. A Waterman 18' boat equipped with a Norbit iWBMS (serial # 22) multibeam sonar collected bathymetry and backscatter data on October 16, 2019. The multibeam was mounted on the boat with a mobile, light-weight, carbon fibered pole mount. Two NovAtel antennas were mounted above the multibeam sonar and communicated with the NovAtel IMU within the Norbit multibeam system. Hypack 2019 software was used to collect and post-process the data. A patch test was measured to compensate for pitch, roll, and yaw. Velocity, water temperature, and depth were sampled using the Norbit Sound Velocity Profiler before, during, and after the survey. 20191016 GNSS data were processed in Inertial Explorer 8.8. An SBET file was developed to correct bathymetry data. 20191016 The survey lines were exported as a las file from Hypack 2019 20191021 The bathymetry las files were cleaned up and checked for attribute accuracy in LP360 2019 20191220 Las files were then exported and clipped to a digital elevation model (DEM). 20191220 DEM was projected to WGS84 for project investigators and exported as survey depth in feet. 20200103 Using ArcMap 10.7, a hillshade was exported from the digital elevation model. 20200117 Raster Grid Cell 1563 2179 1 5.3773807332e-06 5.3773807332e-06 Decimal seconds D_WGS_1984 WGS_1984 6378137.0 298.257223563 Osceola_bathy_wgs84_depth_ft_hill.tif Raster geospatial data file. Producer Defined OID Internal object identifier. Producer Defined Sequential unique whole numbers that are automatically generated. Value Shaded relief value. Producer Defined 0 254 Count Number of raster cells with this value. Producer Defined 9.0 23815.0 GS ScienceBase U.S. Geological Survey mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. 20211103 Jayme M Strange U.S. Geological Survey, MIDCONTINENT REGION Geographer mailing address

2630 Fanta Reed Road

La Crosse WI 54603 US 608-781-6290 jstrange@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998