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 2: Wetland Soils (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) Wetland Soils dataset was calculated as the second 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. This parameter combined data from the National Wetland Inventory (NWI), gSSURGO (Grided Soil Survey Database), and Coastal Change and Analysis Program (C-CAP) to identify wetland soils in the SBRA. Pixels where either of these data sources showed a presence of wetland habitat were set to a value of 1, the remaining were given a value of 0. Please refer to the process steps and https://glcwra.wim.usgs.gov/ for further explanation on the methods. The purpose of the wetland soils dataset is to identify areas of the SBRA that have soil types which are suitable for wetland habitats. This makes restoration of lost wetland habitats more viable. 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 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. USDA National Resource Conservation Service 20220907 vector digital data Soil Survey Staff. Gridded Soil Survey Geographic (gSSURGO) Database for Michigan. United States Department of Agriculture, Natural Resources Conservation Service. Available online at http://datagateway.nrcs.usda.gov/. 20220907 (202210 official release). https://nrcs.app.box.com/v/soils/ Digital 20220907 publication date SSURGO Identified soils with wetland properties in the SBRA Study Area. NOAA Office for Coastal Management 20130521 raster digital data Office for Coastal Management, 2023: NOAA's Coastal Change Analysis Program (C-CAP) 2016 Regional Land Cover Data - Coastal United States, https://www.fisheries.noaa.gov/inport/item/48336. https://coast.noaa.gov/dataviewer/#/landcover/search/-9330820.916828036,5109458.609850191,-9127804.169702608,5385039.588268601 Digital 2013 observed C-CAP Identified the wetland soil types in the SBRA Study Area. U.S. Fish and Wildlife Service 20230501 vector digital data https://www.fws.gov/program/national-wetlands-inventory/download-state-wetlands-data 24000 Digital 19770101 20230501 publication date NWI Identified the extent, approximate location and type of wetlands in the SBRA Study Area. ArcGIS Pro 3.0.3 was used for the following steps, where the SBRA DEM was set as the snap raster, 10 meters were the default raster cell size, and UTM 17N was set at the output coordinate system. The C-CAP raster was clipped to the SBRA study area and then reclassified ("Reclassify" tool) so that the following values were changed to 1: 13 (Palustrine Forested Wetland), 14 (Palustrine Scrub/Shrub Wetland), 15 (Palustrine Emergent Wetland), 21 (Open Water), 22 (Palustrine Aquatic Bed). All other values were reclassified to 0. The cell size of this data was originally 30 meters and then was resampled to 10 meters using Nearest Neighbor. 20230824 In the NWI MI_Wetlands Feature Class, polygons that are permanently flooded have a value of H in the "ATTRIBUTE" column of the attribute table. These polygons were selected with the "Select by Attribute" tool and assigned a value of 0; all other features received a value of 1. These vector features were then clipped to the SBRA study area and converted to a raster with the "Polygon to Raster" tool where 20230824 In ArcGIS Pro, from the SSURGO dataset, the 'MUPOLYON' polygon Feature Class was joined to the 'component' table on the MUKEY and Mapunit Key columns, respectively, and the hydrogrp column was added the the 'MUPOLYGON' layer. In the 'MUPOLYOGN' layer, all of the polygons with 'D' or 'B/D' in the hdrgrp column were selected, then using the 'Clip' function, the selected polygons were clipped to the SBRA study area. A column called 'value' was added to the clipped layer, and all the remaining polygons were assigned a value of 1. Then the clipped layer was converted to a raster with the tool 'Polygon to Raster' where 'value' was the Value field, Cell center was the Cell assignment type, Priority field was NONE, the cell size was 10 meter, the snap raster was the SBRA DEM and the output coordinate system was UTM 17N. 20230824 The binary rasters from the previous three steps were then added together using the "Raster Calculator" tool. The new raster was then transformed to the single binary raster using the "Reclassify" tool, where pixels with a value of 1 or greater was reclassified to 1, and the pixels with a value of 0 were kept at 0. 20230824 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_P2_Wetland_Soils.tif A raster dataset (in geoTIFF format) representing the presence or absence of wetland soils. Producer Defined Value A binary raster representing the presence or absence of wetland soils. Producer Defined 0 Represents the absence of wetland soils. Producer defined 1 Represents the presence of wetland soils. Producer defined SBRA_P2_WetlandSoils.zip contains a TIF raster image (SBRA_P2_Wetland_Soils.tif) and associated metadata (SBRA_P2_Wetland_Soils.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 13561200 TRUE