Hopkins, Anders L. Jaenicke, Margaret E. Bozimowski, Alexandra (Sasha) A. Kowalski, Kurt P. Sanocki, Chris A. 2024 raster digital data Reston, VA U.S. Geological Survey Hopkins, A.L., Jaenicke, M.E., Bozimowski, A.A., Kowalski, K.P., and Sanocki, C.A., 2024, Connecting River Systems Restoration Assessment, Parameter 6: Land Cover (version 2.0): U.S. Geological Survey data release, https://doi.org/10.5066/P9SD4LHS. https://doi.org/10.5066/P9SD4LHS U.S. Geological Survey 2016 vector and raster digital data Reston, VA U.S. Geological Survey https://doi.org/10.5066/P9UAA4HY The Connecting River Systems Restoration Assessment (CRSRA) Land Cover dataset was calculated as the sixth 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. Derived from the Coastal Change Analysis Program (C-CAP) Land Cover classifications, this layer identified areas that are pervious and of high societal importance.These areas were selected and reclassified so that they were recognized as NOT viable for wetland restoration (subtracted from the CRSRA Index Composite). For more information, see the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/. The purpose of this dataset is to identify areas with permeable surfaces that are developed and have a high societal value, such as agricultural land, parks, and golf courses. These areas are less likely to be restored and result in a lower CRSRA Index Composite score. 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 -83.3918 -82.3643 43.2349 42.0117 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 natural resource management water quality remediation wetland ecosystems Temporal Holocene Common geographic areas Great Lakes Lake Huron Lake Erie Lake St. Clair St. Clair St. Clair-Detroit 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 Connecting River Systems 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. 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 developed open land, cultivated, and pasture areas in the CRSRA Study Area. First, ArcGIS Pro 3.0.3 was used to clip the CCAP raster to the CRSRA study area. Then the clipped raster was reclassified using the 'Reclassify' tool (Snap Raster = CRSRA DEM, Output Coordinate System = UTM 17N) so that 5 Developed Open Space, 6 Cultivated Land, 7 Pasture/Hay values are reclassed to '1' and all other values are reclassed to '0'. 20230829 Raster Grid Cell 13411 8132 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 CRSRA_P6_LandUse.tif Raster layer (TIFF format) representing developed permeable surfaces, as defined by C-CAP. Producer Defined Value Boolean value representing the presence (1) or absence (0) of developed permeable surfaces. Producer Defined 3 No data Producer defined 0 Represents the absence of a developed, permeable land surface. Producer defined 1 Represents the presence of a developed, permeable land surface. Producer defined CRSRA_P6_LandUse.zip contains a TIF raster image (CRSRA_P6_LandUse.tif) and associated metadata (CRSRA_P6_LandUse.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/P9SD4LHS 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 10490600 TRUE