Jaenicke, Margaret E. Hopkins, Anders L. Kowalski, Kurt P. Bozimowski, Alexandra A. Sanocki, Chris A. 202406 vector and raster digital data Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9OS796H U. S. Geological Survey 2016 vector and raster digital data Reston, VA U. S. Geological Survey https://doi.org/10.5066/P9UAA4HY The US Geological Survey (USGS) created the Impervious Surfaces 10-meter raster dataset as the fifth parameter in the Western Lake Erie Restoration Assessment (WLERA) which covers the southwestern shore of Lake Erie. WLERA is a part of the USGS's Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative where coastal areas around the Great Lakes are identified and ranked for potential wetland restoration. The impervious surface raster layer was created by resampling the 2019 National Land Cover Database (NLCD) Impervious Surfaces 30-meter raster to be a 10-meter raster within the WLERA study area. Each raster cell value represents the percentage of impervious surfaces within that 30-meter cell. Please refer to the process steps and https://glcwra.wim.usgs.gov/ for further explanation on the methods. Version 2.0 of this dataset was created with more recently released input data. For information on the changes between versions 1.0 and 2.0, please see the Release History text file. Impervious surfaces are considered unsuitable for wetland restoration. Therefore, this layer was used to lower the Index Composite scores for the affected raster cells in the WLERA composite model. The datasets in WLERA Composite 2024 (Jaenicke et al., 2024) were created with more recently published datasets than the WLERA Composite 2016 release (Saarinen, 2016). The foremost among these is the digital elevation model (DEM) which was used to create the study area boundary, the hydroperiod, the dikes and the index composite layers. The elevation data was created from 3DEP DEM tiles published between 2015 and 2019. Updated versions of the following datasets were also used in the creation of WLERA Composite 2024: National Wetland Inventory (NWI) data published in 2023, National Oceanic and Atmospheric Association (NOAA) water level measurements from 1993-2023, Soil Survey Geographic Database (SSURGO) data published in 2022, National Hydrology Dataset (NHD) published in 2023, Protected Areas Database (PAD-US) data published in 2022 and National Land Cover Database (NLCD) data published in 2021. The methodology of the project has largely stayed the same between the WLERA Composite 2016 and WLERA Composite 2024 data release. The notable exception is that there were additional steps used to create the index composite. After the index composite was created using the input parameters and the composite model, a boundary cleaning routine was used to reduce the amount of data noise or lone grid cells present within the index composite. The index composite layer was also reviewed by USGS ecologists after the model was executed and before the data were published, to ensure the accuracy of the results. Based on this review, index composite values returned from the model that did not highlight restorable wetlands were removed from the final dataset. 202406 publication date Complete None planned -83.7447 -82.0833 42.1283 41.2615 ISO 19115 Topic Category environment geoscientificInformation inlandWaters USGS Thesaurus wetland ecosystems remediation hydrology land surface characteristics water quality Coastal and Marine Ecological Classification Standard Pavement Area Marine Realms Information Bank (MRIB) keywords wetland wetland restoration resource management lake lakeshore stream river natural resource management Common geographic areas Great Lakes Ohio Michigan Lake Erie Western Lake Erie 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), Transportation Investment Generating Economic Recovery (TIGER) dataset U.S. Geological Survey 2016 application/service Geonarrative map website for GLCWRA study https://glcwra.wim.usgs.gov/ Kurt P Kowalski Justin A. Saarinen 2016 dataset https://www.sciencebase.gov U.S. Geological Survey Previous release of data. See "Supplemental Information" for more context. https://doi.org/10.5066/f74t6ghx 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 Western Lake Erie 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. Geological Survey Dewitz, J. 20210604 2.0 raster digital data nlcd_2019_impervious_l48_20210604 https://www.sciencebase.gov/catalog/item/604a500ed34eb120311b006c Digital 2001 2019 observed NLCD Impervious Products The impervious surface data are used to show where there are impervious surfaces within the study area, because those areas are not suitable for wetland restoration. First, the ArcGIS Pro 3.0.3 tool 'Clip Raster' was used to clip the NLCD raster to a bounding box of the WLERA study area. The NLCD raster was then projected to UTM 17N with the 'Project Raster' tool. Then, using the 'Resample' tool, the intermediate NLCD raster was resampled from 30 meters to 10 meters. Lastly, the intermediate raster was masked to the boundary of the WLERA DEM with the 'Extract by Mask' tool (Extraction Area = Inside, Snap Raster = WLERA DEM, Cell Size = WLERA DEM). The resulting raster represents Parameter 5 for the WLERA project. 20230901 Raster Grid Cell 9328 13625 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 WLERA_P5_Impervious.tif A raster dataset (in geoTIFF format) representing the percentage of impervious surfaces in the WLERA study area. Producer Defined Value Values represent the percent of impervious surfaces within each raster cell. Producer Defined 255 Outside of the study area. Producer defined 0 100 WLERA_P5_ImperviousSurfaces.zip contains a TIF raster image (WLERA_P5_Impervious.tif) and associated metadata (WLERA_P5_Impervious.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 for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P9OS796H 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 20250801 11224300 TRUE