Hopkins, Anders L. Jaenicke, Margaret E. Kowalski, Kurt P. Bozimowski, Alexandra (Sasha) A. Sanocki, Chris A. 2024 raster digital data: Geotiff Reston, VA U.S. Geological Survey Hopkins, A.L., Jaenicke, M.E., Kowalski, K.P., Bozimowski, A.A., and Sanocki, C.A., 2024, Saginaw Bay Restoration Assessment, Parameter 1: Hydroperiod (version 2.0): U.S. Geological Survey data release, https://doi.org/10.5066/P9EFH72U. https://doi.org/10.5066/P9EFH72U U.S. Geological Survey 2016 vector and raster digital data Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9UAA4HY The Saginaw Bay Restoration Assessment (SBRA) hydroperiod dataset was calculated as the first parameter in the U.S. Geological Survey's (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal wetlands around the Great Lakes are identified and ranked for potential wetland restoration. Using the water level data from the National Oceanic and Atmospheric Administration (NOAA) and the SBRA Digital Elevation Model, the hydroperiod dataset was created to represent the percentage of time coastal lands along Saginaw Bay are inundated with water from Lake Huron. Areas that were within the range of inundation by Lake Huron were ranked with a percentage value representing the amount of time that area was inundated (a higher percentage indicated a higher likelihood of inundation and vice versa). Please refer to the process steps and https://glcwra.wim.usgs.gov/ for further explanation on the methods. The hydroperiod dataset was derived from a DEM of the study area and Lake Huron water level records collected at the NOAA station in Essexville, MI. The hydroperiod represents the likelihood that the landscape will flood within the Saginaw Bay Restoration Assessment (SBRA) study area. Areas with a higher hydroperiod values are better suited to support a coastal wetland habitat. 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 -84.2065 -82.5118 44.5433 43.1144 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. 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. 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. While this data has been reviewed, the spatial data is only as spatially accurate as the input data sources. This dataset does not have a vertical component, so testing for vertical accuracy was not necessary. National Oceanic and Atmospheric Administration (NOAA) 20230203 tabular digital data https://tidesandcurrents.noaa.gov/stationhome.html?id=9075035 Digital and/or Hardcopy 19930101 20230101 ground condition Water Levels This table contains the lake water level measurements for Lake Huron at the Essexville, Michigan water level station. 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 2008 2011 observed DEM The DEM tiles of the source data were mosaiced together to create a continuous raster providing full coverage for the study area and the surrounding areas. First a Digital Elevation Model was created for the approximate area of interest. The most recent LiDAR derived DEM tiles were downloaded from National Elevation Dataset 3-D Elevation Program and mosaiced together. Using Python 3.8.5 and Rasterio 1.1.1, the Rasterio function 'Merge' combined the DEM tiles listed below into a single raster dataset. When the merged gridded dataset was written to file, these were the settings of the Raterio 'open' write function: compress="LZW" BIGTIFF="YES" meta = {'driver': 'GTiff', 'dtype': 'float32', 'nodata': 3.3999999521443642e+38, 'width': 158653, 'height': 170416, 'count': 1, 'crs': CRS.from_epsg(26917), 'transform': Affine(0.9999999999999971, 0.0, 221353.00000000006, 0.0, -0.9999999999999946, 4940006.0)} The resulting raster was clipped to the SBRA study area using ArcGIS 3.0.3 'Clip Raster' tool (CRS = UTM Zone 17N, Snap Raster = Raw SBRA DEM, Output Extent = SBRA Study Area). 20230817 The National Oceanic and Atmospheric Administration (NOAA) collects water level measurements at gaging stations around the Great Lakes. For the SBRA, Lake Huron water level data was extracted at the Essexville, MI station using NOAA's API and Python 3.8.6. The water levels were converted to meters and then transformed to the NAVD88 vertical datum using NOAA's Geodesy Tool (https://geodesy.noaa.gov/cgi-bin/IGLD85/IGLD85.prl). The water level data extracted were 1-hour measurements recorded continuously from January 1st, 1993 to January 1st, 2023. 20230822 Using the Python package Pandas, a package for reading, manipulating and writing tabular data, the water level tables were read in, the maximum daily values were extracted and then sorted in order from least to greatest and duplicates water level values were dropped. Then in a new column, an integer percentage values was assigned to each remaining water level value. The lowest water level value received a percentage value of '100' and the highest received '0' and all other water level values received a representative percentage value. The "rank" function was used to do this in Pandas. The resulting table was exported and saved as a CSV file. 20230823 The table from the previous step was then imported into ArcGIS Pro 3.0.3. The SBRA Digital Elevation Model (DEM) was reclassified by the Lake Level table using the "Reclassify by Table" tool (the From value field was the minimum, the To value field was the maximum, and the Output value field was the percentage). A new raster was created where the cell values were replaced with the percentage values from the water level table. Any values above or below the water level range were given a NULL value. The output raster was snapped to the SBRA Digital Elevation Model and projected to NAD83 UTM Zone 17N in the Environment settings of all tools used. 20230823 Raster Grid Cell 15481 14078 1 Universal Transverse Mercator 17 0.9996 -81.0 0.0 500000.0 0.0 row and column 10.0 10.0 meters North_American_Datum_1983 GRS 1980 6378137.0 298.257222101004 SBRA_P1_Hydroperiod.tif A raster dataset (in geoTIFF format) representing the hydroperiod within the SBRA study area. Producer Defined Value Values in this raster represent an estimation of the likelihood that the underlaying areas will be inundated by Lake Huron. High values mean a higher change of flooding and lower values represent a lesser change of flooding. Producer Defined 0.0 100 SBRA_P1_Hydroperiod.zip contains a TIF raster image (SBRA_P1_Hydroperiod.tif) and associated metadata (SBRA_P1_Hydroperiod.tif.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/P9EFH72U 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 20250814 13561300 TRUE