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 0: Mask (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 This dataset is part of the U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative. The mask parameter was used to remove unsuitable areas within the Saginaw Bay Restoration Assessment (SBRA) study area from consideration for restoration. The GLCWRA initiative identifies coastal wetland areas that have the greatest habitat restoration potential. The data model uses seven parameters to identify and rank wetland restoration areas, resulting in a composite index raster that can be used by ecological managers and planners to assist with the selection of wetland restoration sites. The parameters are Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use (represents developed areas without impervious surfaces but high societal value). The ancillary data include dikes, degree flowlines, study area and culverts. These data layers are put through an ecological model, which results in a composite restoration index of ranked restoration areas. This dataset represents open water, such as lakes, ponds, and rivers, as well as managed land where wetland restoration is already occurring. These areas are removed from consideration in the GLCWRA composite index because open water areas are unlikely to be restored. For more information on this dtaset, visit https://glcwra.wim.usgs.gov/. 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 -84.2819 -82.4770 44.5433 43.1145 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 Lake 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. This dataset does not have a vertical component, so testing for vertical accuracy was not necessary. U.S. Fish and Wildlife Service 20230501 vector digital data https://www.fws.gov/program/national-wetlands-inventory/download-state-wetlands-data 24000 Digital and/or Hardcopy 19770101 20230501 publication date NWI Identified the extent, approximate location and type of wetlands in the SBRA Study Area. U.S. Geological Survey 20200819 vector digital data http://nhd.usgs.gov/ https://www.sciencebase.gov/catalog/item/5f3eda7e82ce8df5b6c8b5db Digital and/or Hardcopy 20160630 observed NHD 0408 Identified the extent, approximate location and type of waterbodies in the SBRA Study Area. U.S. Geological Survey 20200820 vector digital data http://nhd.usgs.gov/ https://www.sciencebase.gov/catalog/item/5f401ce182ce8df5b6cb4287 Digital and/or Hardcopy 20160630 observed NHD 0407 Identified the extent, approximate location and type of waterbodies in the SBRA Study Area. U.S. Fish and Wildlife Service 20230808 vector digital data https://gis-fws.opendata.arcgis.com/datasets/fws::fws-national-realty-approved-acquisition-boundaries/about https://gis-fws.opendata.arcgis.com/datasets/fws::fws-national-realty-approved-acquisition-boundaries/explore Digital and/or Hardcopy 20230808 publication date FWS Boundaries This dataset provided the boundary of the Shiawassee National Wildlife Refuge. The Mask layer is a binary raster which was created from the NHD and NWI datasets. The Waterbodies layer of the NHD was clipped to the study area boundary. These polygons represent bodies of water which do not need be converted into wetlands. Additionally, the Shiawassee National Wildlife Refuge park boundary was selected from the FWS National Realty Approved Acquisition Boundaries dataset and clipped to the study area boundary. 20231020 Next, the NWI Wetlands layer was clipped to the study area. Its polygons represent lakes, ponds and various types of wetlands. All of the lake and ponds were selected. Then, all of the remaining wetland polygons were inspected and compared to satellite imagery to determine if they were functioning wetlands or no longer recognizable as wetlands. All of the polygons overlaying existing wetlands were selected. The selected NWI polygons were exported as a new layer. 20231026 The clipped NHD Waterbodies polygons, Shiawassee National Wildlife Refuge park boundary and the clipped and selected NWI Wetlands polygons were then merged together into a single polygon layer. Next this layer was converted into a raster using "Feature to Raster" function (Field = ID, Output cell size = 10 meters, snap raster = SBRA DEM). Lastly, the output raster was reclassified using the "Reclassify" tool (Reclass field - Value, All values = 0, Nodata = 1) so that the resulting Mask raster has 0's representing all the waterbodies and wetlands, and 1's overlaying everything else. 20231026 Raster Grid Cell 15480 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 6378137.0 298.2572221010042 SBRA_P0_Mask.tif A raster dataset (in geoTIFF format) representing potential areas of coastal wetland restoration. Producer Defined Value Unique numeric values contained in each raster cell. Producer Defined 0 Represents areas which are permanently flooded and are unsuitable for coastal wetland restoration. Producer defined 1 Represents areas which are not permanently flooded and may be suitable for coastal wetland restoration. Producer defined SBRA_P0_Mask.zip contains a polygon shapefile (SBRA_P0_Mask.shp) and associated metadata (SBRA_P0_Mask.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/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 Biological Data Profile of the Content Standard for Digital Geospatial Metadata FGDC-STD-001.1-1999 20250814 13561300 TRUE