Jaenicke, Margaret E. Hopkins, Anders L. Kowalski, Kurt P. Bozimowski, Alexandra (Sasha) A. Sanocki, Chris A. 2024 vector digital data Reston, VA U.S. Geological Survey Jaenicke, M.E., Hopkins, A.L., Kowalski, K.P., Bozimowski, A.A., and Sanocki, C.A., 2024, Saginaw Bay Restoration Assessment: Dikes (version 2.0): U.S. Geological Survey data release, https://doi.org/10.5066/P94ZVUX6. https://doi.org/10.5066/P94ZVUX6 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 Saginaw Bay Restoration Assessment (SBRA) study area. An ArcGIS model identified dikes as having a difference in elevation and slope above a certain threshold. See the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/ for further information. 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 Lake Huron 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 -84.2057 -82.5315 44.5329 43.1151 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 hydrology natural resource management water quality remediation wetland ecosystems Holocene Common geographic areas Great Lakes Lake Huron Saginaw Michigan 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, as described in the abstract. This dataset provides coverage for the entire Saginaw Bay Restoration Assessment study area. 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. 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. Geological Survey 202008 vector digital data Hydrological Units (HU) used: 0407 and 0408. https://www.usgs.gov/national-hydrography/national-hydrography-dataset http://nhd.usgs.gov/ Digital and/or Hardcopy 20160630 observed 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. U.S. Geological Survey 2013 raster digital data Tiles used: ned19_n43x00_w083x00_mi_stclairmacombco_2009 ned19_n43x00_w083x25_mi_oaklandco_2008 ned19_n43x00_w083x25_mi_stclairmacombco_2009 ned19_n43x00_w083x50_mi_oaklandco_2008 ned19_n43x00_w083x75_mi_livingstonco_2009 ned19_n43x00_w083x75_mi_oaklandco_2008 ned19_n43x00_w084x00_mi_livingstonco_2009 ned19_n43x00_w084x25_mi_3centralcounties_2010 ned19_n43x00_w084x25_mi_livingstonco_2009 ned19_n43x00_w084x50_mi_3centralcounties_2010 ned19_n43x00_w084x75_mi_3centralcounties_2010 ned19_n43x25_w083x00_mi_stclairmacombco_2009 ned19_n43x25_w083x25_mi_stclairmacombco_2009 ned19_n43x25_w083x50_mi_saginawbay_2011 ned19_n43x25_w083x75_mi_saginawbay_2011 ned19_n43x25_w084x50_mi_3centralcounties_2010 ned19_n43x25_w084x75_mi_3centralcounties_2010 ned19_n43x25_w085x00_mi_3centralcounties_2010 ned19_n43x50_w083x25_mi_saginawbay_2011 ned19_n43x50_w083x50_mi_saginawbay_2011 ned19_n43x50_w083x75_mi_ioscoarenacbayco_2010 ned19_n43x50_w083x75_mi_saginawbay_2011 ned19_n43x50_w084x00_mi_ioscoarenacbayco_2010 ned19_n43x50_w084x00_mi_saginawbay_2011 ned19_n43x50_w084x25_mi_saginawbay_2011 ned19_n43x75_w083x00_mi_saginawbay_2011 ned19_n43x75_w083x25_mi_saginawbay_2011 ned19_n43x75_w083x50_mi_saginawbay_2011 ned19_n43x75_w083x75_mi_ioscoarenacbayco_2010 ned19_n43x75_w083x75_mi_saginawbay_2011 ned19_n43x75_w084x00_mi_ioscoarenacbayco_2010 ned19_n43x75_w084x00_mi_saginawbay_2011 ned19_n43x75_w084x25_mi_ioscoarenacbayco_2010 ned19_n43x75_w084x25_mi_saginawbay_2011 ned19_n44x00_w083x00_mi_saginawbay_2011 ned19_n44x00_w083x25_mi_saginawbay_2011 ned19_n44x00_w083x50_mi_saginawbay_2011 ned19_n44x00_w083x75_mi_ioscoarenacbayco_2010 ned19_n44x00_w083x75_mi_saginawbay_2011 ned19_n44x00_w084x00_mi_ioscoarenacbayco_2010 ned19_n44x00_w084x25_mi_ioscoarenacbayco_2010 ned19_n44x25_w083x00_mi_saginawbay_2011 ned19_n44x25_w083x25_mi_saginawbay_2011 ned19_n44x25_w083x50_mi_ioscoarenacbayco_2010 ned19_n44x25_w083x75_mi_ioscoarenacbayco_2010 ned19_n44x25_w084x00_mi_ioscoarenacbayco_2010 ned19_n44x25_w084x25_mi_ioscoarenacbayco_2010 ned19_n44x50_w083x50_mi_ioscoarenacbayco_2010 ned19_n44x50_w083x75_mi_ioscoarenacbayco_2010 ned19_n44x50_w084x00_mi_ioscoarenacbayco_2010 ned19_n44x75_w083x50_mi_ioscoarenacbayco_2010 ned19_n44x75_w083x75_mi_ioscoarenacbayco_2010 https://ned.usgs.gov https://apps.nationalmap.gov/viewer/ Digital and/or Hardcopy 2008 2011 observed DEM The DEM data provided an elevation raster from which the dikes dataset was created. With ArcGIS Pro 3.0.3, a slope raster was created from the SBRA 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 in tact. After entire dataset was inspected and edited in this manner, the polygon layer was clipped to the SBRA study area and saved as a shapefile. 20230923 Vector G-polygon 7428 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 SBRA_dikes.shp A geospatial dataset (in shapefile format) representing the locations of dikes within the SBRA study area. Producer Defined FID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. Shape Feature geometry. ESRI Shape type. Id Primary key. Producer Defined Sequential unique identification number. SBRA_dikes.zip contains a shapefile (SBRA_dikes.shp) and associated metadata (SBRA_dikes.shp.xml). 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/P94ZVUX6 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