Hopkins, Anders L. Jaenicke, Margaret E. Bozimowski, Alexandra (Sasha) A. Kowalski, Kurt P. Sanocki, Chris A. 2024 vector digital data Reston, VA U.S. Geological Survey Hopkins, A.L., Jaenicke, M.E., Bozimowski, A.A., Kowalski, K.P., and Sanocki, C.A., 2024, Connecting River Systems Restoration Assessment: Dikes (version 2.0): U.S. Geological Survey data release, https://doi.org/10.5066/P9A11WOH. https://doi.org/10.5066/P9A11WOH U.S. Geological Survey 2016 vector and raster digital data Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9UAA4HY This dataset represents the location of dikes within the Connecting River Systems Restoration Assessment (CRSRA) study area. For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/. The purpose of the dikes dataset is to provide the extent and location of dikes within the study area, since these are an important factor in controlling water flow to coastal wetlands. Hydrologic connection between the Great Lakes and coastal land areas are an important part of restoring coastal wetlands. The purpose for releasing version 2.0 of these datasets is that they were created with more recent and more accurate input data. For changes between versions 1.0 and 2.0, please see the Release History text file. 2024 publication date Complete None planned -83.2930 -82.4239 43.2188 42.0474 ISO 19115 Topic Category environment geoscientificInformation inlandWaters Marine Realms Information Bank (MRIB) keywords lake lakeshore wetland wetland restoration stream river hydrology resource management USGS Thesaurus natural resource management water quality remediation wetland ecosystems Holocene Common geographic areas Great Lakes Lake Huron Lake Erie Lake St. Clair St. Clair St. Clair-Detroit None. Please see 'Distribution Info' for details. None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. Kurt P Kowalski U.S. Geological Survey, MIDCONTINENT REGION Research Ecologist mailing address

1451 Green Rd

Ann Arbor MI 48105 US 734-214-9308 734-994-8780 kkowalski@usgs.gov The GLCWRA was produced with funding provided by the Great Lakes Restoration Initiative (GLRI) and in collaboration with the New College of Florida. Digital datasets obtained from public repositories and datasets including the National Hydrography Dataset (NHD), National Wetland Index (NWI), 3D Elevation Program (3DEP), U.S. Census Bureau, National Geospatial Program, U.S. Fish and Wildlife Service, National Oceanic and Atmospheric Association (NOAA), Protected Areas Database of the U.S. (PAD-US), National Land Cover Database (NLDC), Gridded Soil Survey Geographic Database (gSSURGO), Coastal Change Analysis Program (C-CAP) U.S. Geological Survey 2016 application/service Geonarrative map website for GLCWRA study https://glcwra.wim.usgs.gov/ The attribute values of this dataset were inspected and confirmed to be within the proper range of values. Data underwent quality control (QC) procedures in which Subject Matter Experts and those familiar with the study area examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the Digital Elevation Model (DEM). Dikes that appeared to be false positives were deleted from the dataset. The attribute values were reviewed, and spatial data was visually inspected to verify the that the data values and their locations accurately describe the purpose of the data. This dataset is considered complete for the information presented. An ArcGIS model identified dikes as having a difference in elevation and slope above a certain threshold. If the elevation difference was below a certain threshold, the area was not considered a dike. However, if the difference in elevation between two points was significantly high, then the area was marked as a dike. Areas contiguous with each other were considered part of the same dike. This dataset provides coverage for the entire Connecting River Systems Restoration Assessment study area. Approximately 20% of the spatial data was visually inspected to verify the positional accuracy of its features. The review consisted of comparing the spatial data to its input datasets and to underlying GIS basemaps. While this data has been reviewed, the spatial data is only as spatially accurate as the input data sources. Vertical accuracy reflects that of the USGS NED 1/9 arc-second Elevation Dataset. See the URL link to this dataset in the Source Inputs section for more information. ESRI 20210405 remote-sensing image https://services.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer Digital 20210405 publication date ESRI World Imagery Satellite imagery from ESRI was used to select functioning wetlands from the NWI dataset. Google Maps 2023 remote-sensing image https://www.google.com/maps/@42.4954939,-82.7315711,203785m/data=!3m1!1e3?entry=ttu Digital 2023 publication date Google Satellite Imagery Satellite imagery from Google Maps was used to select functioning wetlands from the NWI dataset. These dataset were used during the month of October 2023. U. S. Census Bureau 20200523 vector digital data http://www2.census.gov/geo/tiger/TIGER2020/RAILS/tl_2020_us_rails.zip Digital and/or Hardcopy 20200523 publication date Tiger Railways Identified all railway lines in the CRSRA Study Area. U. S. Census Bureau 2021 vector digital data Countied downloaded: Ohio: Lucas, Ottowa, Wood, Sandusky, Erie, Lorain Michigan: Monroe https://www.census.gov/cgi-bin/geo/shapefiles/index.php?year=2021&layergroup=Roads Digital and/or Hardcopy 2021 publication date Tiger Roads Identified all roads in the CRSRA Study Area. U. S. Geological Survey 20230307 vector digital data Hydrological Units (HU) used: 8 - 04100001 (NHD_H_04100001_HU8_GDB) 8 - 04100002 (NHD_H_04100002_HU8_GDB) 8 - 04100009 (NHD_H_04100009_HU8_GDB) 8 - 04100010 (NHD_H_04100010_HU8_GDB) 8 - 04100011 (NHD_H_04100011_HU8_GDB) 8 - 04100012 (NHD_H_04100012_HU8_GDB) 8 - 04100013 (NHD_H_04100013_HU8_GDB) 8 - 04110001 (NHD_H_04110001_HU8_GDB) 8 - 04260000 (NHD_H_04160000_HU8_GDB) https://www.usgs.gov/national-hydrography/national-hydrography-dataset Digital and/or Hardcopy 20230307 publication date NHD Flowlines Identified the centerlines of stream segments or reaches that make up the nation's surface water drainage system. NHDFlowline features consist of categories stream/river, artificial path, canal/ditch, pipeline, connector, underground conduit, and coastline. With ArcGIS Pro 3.0.3, a slope raster was created from the CRSRA 10 meter DEM using the "Slope" tool (Output measurement = Degree and Method = Planar). Areas where the slopes were greater than 12 degrees were extracted with the "Extract by Attributes" tool. Then the extracted slope raster was converted to a polygon layer with the "Raster to Polygon" tool (Simplify polygons = True, CRS = UTM 17N). 20230911 Next, QA/QC was performed on the spatial data. The dikes polygon layer was examined to find instances of NHD flowlines intersecting with the dike polygons. In the case of an intersection, dike features were split along the flowlines and the smaller section of the dike feature was removed. If a culvert was present at an intersection between dikes and flowlines, the dike feature was left intact. After entire dataset was inspected and edited in this manner, the polygon layer was clipped to the CRSRA study area and saved as a shapefile. 20230923 Vector G-polygon 1572 Universal Transverse Mercator 17 0.9996 -81.0 0.0 500000.0 0.0 coordinate pair 0.6096 0.6096 meters North_American_Datum_1983 GRS 1980 6378137.0 298.257222101 CRSRA_Dikes.shp A geospatial dataset (in shapefile format) representing the locations of dikes within the CRSRA study area. Producer Defined FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Shape type. Id Sequential unique identification numbers. Producer Defined 0 1571 This data release includes a zip file named "CRSRA_dikes.zip" containing a polygon shapefile and associated metadata. NA 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. Digital Data https://doi.org/10.5066/P9A11WOH None 20240515 Kurt P Kowalski U.S. Geological Survey, MIDCONTINENT REGION Research Ecologist mailing address

1451 Green Rd

Ann Arbor MI 48105 US 734-214-9308 734-994-8780 kkowalski@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998