Web map displaying Wisconsin DNR-produced Digital Elevation Model (DEM) and Hillshade image services, along with their index layer, in formats that are clickable and can be symbolized and filtered. This map can also be used as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.

The Digital Geologic-GIS Map of Saint Croix National Riverway and Vicinity, Minnesota and Wisconsin is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sacn_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sacn_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sacn_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (sacn_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sacn_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sacn_geology_metadata_faq.pdf). Please read the sacn_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Minnesota Geological Survey, Wisconsin Geological and Natural History Survey and National Park Service. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sacn_geology_metadata.txt or sacn_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 feet of their actual _location as presented by this dataset. Users of this data should thus not assume the _location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Link to Wisconsin Statewide Parcel Map Initiative data download page on the Wisconsin State Cartographer's website.

Geospatial data about Grant County, Wisconsin Parcel Zoning. Export to CAD, GIS, PDF, CSV and access via API.

Web map displaying WI DNR's Wisconsin Leaf-Off Digital Orthophotography imagery layer along with an index layer. This map can be used to identify the year and resolution of each county's imagery in this image service, or as a starting point to create a new map. To open the web map from DNR's GIS Open Data Portal, click the View Metadata: link to the right of the description, then click Open in Map Viewer.*Note that this web map only contains DOPs that Wisconsin DNR has permission to display on a web map. Some counties may have newer DOPs.

This Coastal Barrier Resources System (CBRS) data set, produced by the U.S. Fish and Wildlife Service (Service), contains areas designated as undeveloped coastal barriers in accordance with the Coastal Barrier Resources Act (CBRA), 16 U.S.C. 3501 et seq., as amended. The boundaries used to create the polygons herein were compiled from the official John H. Chafee Coastal Barrier Resources System CBRS maps, which are accessible at the Service’s Headquarters office or https://www.fws.gov/program/coastal-barrier-resources-act/maps-and-data. These digital polygons are only representations of the CBRS boundaries shown on the official CBRS maps and are not to be considered authoritative. The Service is not responsible for any misuse or misinterpretation of this digital data set, including use of the data to determine eligibility for federal financial assistance such as federal flood insurance. As maps are revised, this data set will be updated with the new boundaries. CBRS boundaries viewed using the CBRS Mapper or the shapefile are subject to misrepresentations beyond the Service’s control, including misalignments of the boundaries with third party base layers and mis-projections of spatial data. The official CBRS map is the controlling document and should be consulted for all official determinations. Official determinations are recommended for all properties that are in close proximity (within 20 feet) of a CBRS boundary. For an official determination of whether or not an area or specific property is located within the CBRS, please follow the procedures found at https://www.fws.gov/service/coastal-barrier-resources-system-property-documentation. For any questions regarding the CBRS, please contact your local Service field office or email CBRA@fws.gov. Contact information for Service field offices can be found at https://www.fws.gov/our-facilities.Data Set Contact: U.S. Fish and Wildlife Service Natural Resource Program Center, GIS Team Lead, richard_easterbrook@fws.gov

This data set is a polygon shapefile representing Public Land Survey System (PLSS) townships. The data are a subset of the Wisconsin DNR's 'Landnet' database, automated from 1:24,000-scale sources.*DNR staff have added an alpha field for the range direction field in this layer called DIR_ALPHA which uses W and E instead of numerical direction codes.

Geospatial data about Racine County, Wisconsin Parcels. Export to CAD, GIS, PDF, CSV and access via API.

Geospatial data about Waukesha County, Wisconsin FEMA Flood Insurance Rate Map Panels. Export to CAD, GIS, PDF, CSV and access via API.

Ecological Landscapes of Wisconsin are aggregations of NHFEU (National Hierarchical Framework of Ecological Units) subsections that have been assigned descriptive names. The Ecological Landscapes of Wisconsin are represented on a May, 1999 map prepared under the direction of the DNR Division of Land Ecosystem Management Planning Team.The NHFEU concept, developed by the USFS, is considered one of the oldest and best-documented ecosystem classification schemes at the federal level. The NHFEU has been refined over the years as new information becomes available to identify lower levels of the hierarchy.

Download In State Plane Projection Here. This is our working version of the Lake County boundary. Although technically the county's eastern border extends eastward into Lake Michigan to the state line where Illinois meets Michigan, we routinely use the Lake Michigan shoreline as our eastern boundary for mapping purposes. The north, west and south boundaries are based on a compilation of survey data which aligns well, but not perfectly, with the border as mapped by neighboring counties and the State of Wisconsin, which forms the northern boundary of the county. Update Frequency: This dataset is updated on a weekly basis.

Geospatial data about Sheboygan County, Wisconsin Wetlands. Export to CAD, GIS, PDF, CSV and access via API.

This dataset combines the work of several different projects to create a seamless data set for the contiguous United States. Data from four regional Gap Analysis Projects and the LANDFIRE project were combined to make this dataset. In the northwestern United States (Idaho, Oregon, Montana, Washington and Wyoming) data in this map came from the Northwest Gap Analysis Project. In the southwestern United States (Colorado, Arizona, Nevada, New Mexico, and Utah) data used in this map came from the Southwest Gap Analysis Project. The data for Alabama, Florida, Georgia, Kentucky, North Carolina, South Carolina, Mississippi, Tennessee, and Virginia came from the Southeast Gap Analysis Project and the California data was generated by the updated California Gap land cover project. The Hawaii Gap Analysis project provided the data for Hawaii. In areas of the county (central U.S., Northeast, Alaska) that have not yet been covered by a regional Gap Analysis Project, data from the Landfire project was used. Similarities in the methods used by these projects made possible the combining of the data they derived into one seamless coverage. They all used multi-season satellite imagery (Landsat ETM+) from 1999-2001 in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. Vegetation classes were drawn from NatureServe's Ecological System Classification (Comer et al. 2003) or classes developed by the Hawaii Gap project. Additionally, all of the projects included land use classes that were employed to describe areas where natural vegetation has been altered. In many areas of the country these classes were derived from the National Land Cover Dataset (NLCD). For the majority of classes and, in most areas of the country, a decision tree classifier was used to discriminate ecological system types. In some areas of the country, more manual techniques were used to discriminate small patch systems and systems not distinguishable through topography. The data contains multiple levels of thematic detail. At the most detailed level natural vegetation is represented by NatureServe's Ecological System classification (or in Hawaii the Hawaii GAP classification). These most detailed classifications have been crosswalked to the five highest levels of the National Vegetation Classification (NVC), Class, Subclass, Formation, Division and Macrogroup. This crosswalk allows users to display and analyze the data at different levels of thematic resolution. Developed areas, or areas dominated by introduced species, timber harvest, or water are represented by other classes, collectively refered to as land use classes; these land use classes occur at each of the thematic levels. Raster data in both ArcGIS Grid and ERDAS Imagine format is available for download at http://gis1.usgs.gov/csas/gap/viewer/land_cover/Map.aspx Six layer files are included in the download packages to assist the user in displaying the data at each of the Thematic levels in ArcGIS. In adition to the raster datasets the data is available in Web Mapping Services (WMS) format for each of the six NVC classification levels (Class, Subclass, Formation, Division, Macrogroup, Ecological System) at the following links. http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Class_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Subclass_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Formation_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Division_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_NVC_Macrogroup_Landuse/MapServer http://gis1.usgs.gov/arcgis/rest/services/gap/GAP_Land_Cover_Ecological_Systems_Landuse/MapServer

Four digital water-surface profile maps for a 14-mile reach of the Mississippi River near Prairie Island in Welch, Minnesota from the confluence of the St. Croix River at Prescott, Wisconsin to upstream of the United States Army Corps of Engineers (USACE) Lock and Dam No. 3 in Welch, Minnesota, were created by the U.S. Geological Survey (USGS) in cooperation with the Prairie Island Indian Community. The water-surface profile maps depict estimates of the areal extent and depth of inundation corresponding to selected water levels (stages) at the USGS streamgage Mississippi River at Prescott, Wisconsin (USGS station number 05344500). Current conditions for estimating near-real-time areas of water inundation by use of USGS streamgage information may be obtained on the internet at http://waterdata.usgs.gov/. Water-surface profiles were computed for the stream reach using HEC-GeoRAS software by means of a one-dimensional step-backwater HEC-RAS hydraulic model using the steady-state flow computation option. The hydraulic model used in this study was previously created by the USACE . The original hydraulic model previously created extended beyond the 14-mile reach used in this study. After obtaining the hydraulic model from USACE, the HEC-RAS model was calibrated by using the most current stage-discharge relations at the USGS streamgage Mississippi River at Prescott, Wisconsin (USGS station number 05344500). The hydraulic model was then used to determine four water-surface profiles for flood stages referenced to 37.00, 39.00, 40.00, and 41.00-feet of stage at the USGS streamgage on the Mississippi River at Prescott, Wisconsin (USGS station number 05344500). The simulated water-surface profiles were then combined with a digital elevation model (DEM, derived from light detection and ranging (LiDAR) in Geographic Information System (GIS) data having a 0.35-foot vertical and 1.97-foot root mean square error horizontal resolution) in order to delineate the area inundated at each stage. The calibrated hydraulic model used to produce digital water-surface profile maps near Prairie Island, as part of the associated report, is documented in the U.S. Geological Survey Scientific Investigations Report 2021-5018 (https://doi.org/10.3133/ sir20215018). The data provided in this data release contains three zip files: 1) MissRiverPI_DepthGrids.zip, 2) MissRiverPI_InundationLayers.zip, and 3) ModelArchive.zip. The MissRiverPI_DepthGrids.zip and MissRiverPI_InundationLayers.zip files contain model output water-surface profile maps as shapefiles (.shp) and Keyhole Markup Language files (.kmz) that can be opened using Esri GIS systems (.shp files) or Google Earth (.kmz files), while the ModelArchive.zip contains model inputs, outputs, and calibration data used in creating the water-surface profiles maps.

This dataset contains locations and attributes of rural health clinics licensed by the state of Wisconsin. The data is used for planning, management and analysis by Wisconsin Department of Health Services staff and by other government agencies.For more information please visit the Wisconsin Department of Health Services website: https://www.dhs.wisconsin.gov/regulations/rhc/introduction.htm

Wetland and surface water polygon data mapped using LiDAR based sources and high-resolution leaf on/off imagery. Mapped to meet or exceed National Wetland Inventory mapping standards for limited parts of Wisconsin. Data mapped after 2018. Visible below 1:95,000.Funding is provided by the Wisconsin Coastal Management Program, the National Oceanic and Atmospheric Administration, Office for Coastal Management under the Coastal Zone Management Act, Grant #NA19NOS419008, and the USDA Forest Service, Chequamegon-Nicolet National Forest through both the Good Neighbor Authority program in partnership with WDNR Forestry Division and internal appropriated funding. Portions of wetland mapping provided by the Great Lakes Indian Fish and Wildlife Commission in cooperation with the University of Wisconsin - Madison Department of Forestry and Wildlife Ecology and Department of Planning and Landscape Architecture.This layer should be used in conjunction with the following layers:

Wisconsin Wetland Inventory Polygon Layer (stereo-pair mapping)Wisconsin Wetland Inventory Filled/Drained Polygon Layer (stereo-pair mapping)Wisconsin Wetland Inventory Filled/Drained Point Layer (stereo-pair mapping)Wisconsin Wetland Inventory Point Layer (stereo-pair mapping)

For more information on 2013 FGDC Classification of Wetlands and Deepwater Habitats of the United States visit: https://www.fgdc.gov/standards/projects/wetlands/nwcs-2013For more information on Wisconsin DNR Wetland Mapping visit: https://dnr.wisconsin.gov/topic/Wetlands/inventory.htmlFor mapping methodology, visit: https://dnr.wisconsin.gov/sites/default/files/topic/Wetlands/WWI_SOP.pdf

A GIS database of geologic units and structural features in Wisconsin, with lithology, age, data structure, and format written and arranged just like the other states.

This dataset represents the state of knowledge about the distribution of rocky substrate for the Southern California continental shelf. The dataset is derived from a map series of seven adjacent but descrete maps illustrating seafloor sediment and rock.

The purpose of this project was to create digital, GIS format versions of the Southern California continental shelf seafloor substrate maps originally produced by PS Associates of Cardiff, California for the Minerals Management Service in Reston, Verginia.

The original data was presented in hard copy format and depicted areas of "rock outcrop, hard-ground, or less than 1 meter of sediment overlaying." Areas identified as "rock" on the hard copy map were designated as "rock" in this dataset. In areas where no rock was identified, we designated this as "sediment". Note that this is liberal interpretation of the original map data. A more conservative and accurate interpretation involved using "no data" maps which indicated the areas in which no information on substrate type was gathered. Please see the "no_data" dataset that is part of this series.

Original map title: Isopach map of the post-Wisconsin sediment thickness data sources. California Outer Continental Shelf Archeaological Resource Study from Morro Bay to the Mexican Border. Prepared by P.S. Associates, Contract number 14-12-0001-30272, May 1, 1987. Map scale was 1:125,000. Used maps 1A, 2A, 3A, 4A, 5A.

This dataset contains DNR Managed Lands as parcels with local property name, and GIS and deed acreages. Parcels are symbolized as fee simple (DNR Owned), DNR easement on private land (open/restricted public access) and DNR lease on federal- and county-owned land. This dataset does not contain closed fee or easement. See metadata/data dictionary for interest (transaction type) classification.The parcels are digitized from deed legal description and based on the DNR Landnet System (Public Land Survey System), Wisconsin Transverse Mercator. This data is updated on a weekly basis.This layer represents the geometry of the real estate holdings of the Wisconsin Department of Natural Resources and is not to be interpreted as representing legal property boundaries. Link to the Metadata and Data Dictionary.See also the Public Access Lands interactive mapping application.

This polygon feature class is a representation of Public Land Survey System (PLSS) quarter sections. The data are a subset of the Wisconsin DNR's 'Landnet' database, automated from 1:24,000-scale sources.*DNR staff have added an alpha field for the range direction field in this layer called DIR_ALPHA which uses W and E instead of numerical direction codes.