6,904 results returned
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Title: St. Louis River Habitat Map, Minnesota and Wisconsin 2025
Contributors:- Mixed
- 2025
Summary: This geodatabase contains feature classes used to post-process a 'UNET' land cover map of the St. Louis River Estuary in the Duluth-Superior area, produced by U-Spatial at the University of Minnesota. The methodology to produce the UNET map is described on the University of Minnesota U-Spatial GitHub repository: https://github.com/WIStCart/StLouisEstuary-HabitatMap Full descriptive metadata for this project is accessible via the 'habitat_map_raster' feature inside the geodatabase. Post-processing was implemented to produce a final habitat map and a change map from the UNET map. The methodology is described on the University of Wisconsin State Cartographer’s Office GitHub repository: https://github.com/WIStCart/StLouisEstuary-HabitatMap The maps were produced under a project funded by the National Oceanic and Atmospheric Administration.
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Title: St. Louis River Habitat Map orthomosaic drone imagery, Minnesota and Wisconsin 2024
Contributors:- Raster data
- 2024
Summary: This collection of orthomosiacs were produced by the University of Minnesota's Natural Resources Research Institute for the National Estuarine Research Reserve System (NERRS) mapping project, led by a collaboration between the Lake Superior Reserve, the University of Wisconsin-Madison State Cartographer's Office, and U-Spatial at the University of Minnesota. The purpose of the UAV flights was to gather high resolution imagery for certain locations within the St. Louis River Estuary to assist with vegetation class identification.The source imagery for the raster (TIFF format) mosaics were collected in August and September 2024 (flight dates below) with the WingtraOne Gen2 fixed-wing drone equipped with the Sony a6100 RGB camera or MicaSense RedEdge-P multispectral (MSP) camera. All flights occurred under fully cloudy conditions except for the final flight day (Nemadji RGB). MSP imagery collection was prioritized. Spectral bands collected include red, green, blue, red-edge, near infrared, and panchromatic. With the multispectral camera, the drone was flown at an altitude of 386 feet, resulting in a ground sampling distance of 3.7 cm. With the RGB camera, the drone was flown at an altitude of 394 feet, resulting in a ground sampling distance of 2.2 cm. PPK service provided by MNCors was utilized for accuracy corrections.Imagery were orthorectified and mosaicked using Pix4DFields mapping software. Pix4DFields was also used to calculate the normalized vegetation difference index (NDVI) and surface model elevation (meters above mean sea level) rasters.
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Title: Flood Exposure Vulnerability (EV) Layers Ashland County (northern part), WI 2024
Contributors:- Mixed
- 2024
Summary: Flood exposure and vulnerability (EV) layers for northern Ashland County, produced for a project funded by the Wisconsin Coastal Management Program and the National Oceanic and Atmospheric Administration, Office for Coastal Management under the Coastal Zone Management Act, Grant # NA22NOS4190085. Layers include parcels (from statewide parcels layer), building footprints, culverts/bridges/dams, dasymetric population estimates, stream reaches and distance buffers for flood analysis (for cities of Ashland and Mellen), internet download speeds by parcel, education facilities, electric power network, emergency and critical services infrastructure, vulnerable facilities, municipality boundaries, natural gas pipelines, rail roads, roads, and the study area boundary. This dataset also contains flood model data and associated layers.
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Title: Wisconsin Historic Aerial Photography Photo Centers
Contributors:- Point data
- 2024
Summary: The Wisconsin State Cartographer's Office (SCO) and the Arthur H. Robinson Map Library (RML) at the University of Wisconsin have collaborated to create an online point index that represents digital aerial photographs available for download from the Wisconsin Historic Aerial Image Finder. Photography represented in the online index covers the years 1936 to present and comes from a variety of sources including federal agencies, regional consortia, and local governments. Detailed information is available at the image level for each center point that describes specific photo attributes. In addition to the digital archive represented by these data layers, the RML maintains a print archive of nearly 260,000 individual photographs dating from 1936 to the early-2000's. It is recommended that this large and detailed dataset be viewed directly in ArcGIS Online (link provided at the right, near the metadata link).
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Title: Wisconsin State Highway Map: Generalized Hydrography Layers, 2024
Contributors:- Mixed
- 2024
Summary: This feature dataset comprises three hydrographic layers: Lakes, Dual Line Hydro (major rivers), and Flowlines (smaller streams and rivers). The dataset was developed for the 2025 Wisconsin State Highway Map and encompasses the entire state of Wisconsin, extending slightly beyond its boundaries. The original data was sourced from 1:24,000-scale hydro layers produced by the Wisconsin Department of Natural Resources (DNR). To meet the cartographic requirements of the highway map, which is at a scale of approximately 1:800,000, a systematic approach was employed to simplify and generalize the data. This involved selecting lakes and rivers of appropriate size and generalizing features to ensure clarity and readability at smaller scales. The dataset is also suitable for other small-scale cartographic purposes in depicting Wisconsin’s hydrography.
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Title: Building Inventory Ashland County (northern part), WI 2022
Contributors:- Polygon data
- 2022
Summary: This data represents building inventory for northern Ashland County, Wisconsin in 2022. [This feature class is the product of a pilot project conducted by the Wisconsin State Cartographer's Office to create a freely distributable inventory of buildings and their attributes to serve a variety of purposes including to improve flood damage predictions. The goal was to include attributes describing the building itself, not the building's occupancy or use. The primary source of such data in Wisconsin, assessor data, is, in most cases, not available in a usable format without non-trivial cost or distribution restrictions. As a result, this publicly available building footprint feature class has little building-specific data. The project was funded by the Wisconsin Coastal Management Program and the National Oceanic and Atmospheric Administration, Office for Coastal Management under the Coastal Zone Management Act, Grant #NA20NOS4190092.]
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Title: County Seats (1M scale), Wisconsin 2021
Contributors:- Point data
- 2021
Summary: This point data layer represents the location of county seats in Wisconsin. [In the United States, a county seat is considered the administrative center for county units of government. This dataset is intended for the cartographic portrayal of Wisconsin county seats at a scale of a 1:1,000,000 or more. As such, it is not intended to represent the specific locations of county courthouses or any other county government facilities. From Wikipedia (accessed June 24, 2021): 'The city, town, or populated place that houses county government is known as the seat of its respective county. Generally, the county legislature, county courthouse, sheriff's department headquarters, hall of records, jail and correctional facility are located in the county seat, though some functions (such as highway maintenance, which usually requires a large garage for vehicles, along with asphalt and salt storage facilities) may also be located or conducted in other parts of the county, especially if it is geographically large.' In Wisconsin, the Wisconsin Blue Book: https://legis.wisconsin.gov/LRB/blue-book/ is the authoritative source of county seat information.Most county seats in Wisconsin are located in incorporated cities, towns, or villages. There are exceptions. For example, the Menominee County seat is Keshena, an unincorporated Census Designated Place (CDP). In situations where the county seat is a large civil town, the county seat point is placed at the approximate location of the county courthouse. In Burnett County, the county seat is often incorrectly listed as Siren. In fact, the county seat is the Town of Meenon. The confusion results from the county courthouse having a Siren postal address.This dataset was originally derived from the March 2021 Legislative Technology Services Bureau 'Cities, Towns, and Villages' geospatial data layer. A list of county seats created by the State Cartographer's Office was joined to the LTSB polygon boundary data, and then converted into points. For full processing details, see the lineage section of this metadata. To ensure the accuracy of this dataset, the individual records were validated against the Wisconsin Blue Book on June 24, 2021.]
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Title: Land Economic Inventory (Bordner Survey), Wisconsin 1930s - 1940s
Contributors:- Mixed
- 1930
Summary: These maps give insight to what the landscape of Wisconsin looked like at a time of peak deforestation and land abandonment in addition to how this legacy has impacted the current landscape. Furthermore, these maps offer a tool for future landscape management including but not limited to: shore line changes, erosion, reforestation, and wetland restoration. Included in this geodatabase are: economic natural features (points); land use-land cover (polygons); transportation water infrastructure (lines). At present, Bordner polygon data is available for the entire state, with the exception of Milwaukee and Menominee Counties, which were never surveyed. Point and line data exist for selected areas of the state. Digitizing of these features is not yet complete .A user guide for this data may be found here: https://maps.sco.wisc.edu/bordner/about/
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Title: WICDI Culvert Inventory, Wisconsin 2023
Contributors:- Point data
- 2023
Summary: This dataset contains culvert data points and associated attributes from a variety of sources, primarily focusing on the Lake Superior shore of Wisconsin. The WICDI (WI Coastal-Management Data Infrastructure) project sought to collect and compile available culvert data to create a single point of access for coastal and culvert managers. Existing culvert datasets were integrated using a consistent schema to facilitate ease of use. This dataset is the result of this data collection and integration process. The project was funded by the Wisconsin Coastal Management Program and the National Oceanic and Atmospheric Administration, Office for Coastal Management under the Coastal Zone Management Act, Grant # NA18NOS4190087 and Grant # NA20NOS4190105.
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Title: Official highway service map of Wisconsin, 1928
Contributors:- Not specified
- 1928
Summary: Includes distance finding table and explanation of its use.; "This map issued weekly during the construction season by the Wisconsin Highway Commission."; Lacking color overprints.; 17 city insets. 111 x 95 centimeters
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Title: Official highway service map of Wisconsin, 1925
Contributors:- Not specified
- 1925
Summary: Lacks color overprint indicating construction work.; "Map revised weekly. Note date."; "It's harder to get lost in Wisconsin than to find the way in many states."; Includes mileage chart. 115 x 102 centimeters
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Title: Official highway map of Wisconsin : "The playground of the middle west"
Contributors:- Not specified
- 1924
Summary: Showing the state trunk highway system also the more important trunk highways.; Includes text. 60 x 52 centimeters
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Title: Official map of the state trunk highway system of Wisconsin
Contributors:- Not specified
- 1918
Summary: Cover title: 1918 official map of the state trunk highway system of Wisconsin.; "Poole Bros., Chicago."--Lower left corner.; Booklet compiled by A.R. Hirst.; Includes index. 61 x 50 centimeters
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Title: Nursing Homes Wisconsin 2001
Contributors:- Point data
- 2001
Summary: This point data layer represents nursing homes in Wisconsin as of November 20, 2001. The dataset was originally published by the Wisconsin State Department of Health Services on November 20, 2001.[This data layer is a point shapefile showing the distribution of WI nursing homes as of 11/20/2001. It shows the result of geocoding the addresses from the WiDHFS nursing home data set. It is referenced to the Wisconsin Transverse Mercator (WTM) projection system, North American Datum 1983 with the 1991 adjustment (NAD83/91). Some addresses are not geocoded to the street level due to inadequance of exact information. Refer to MCODE and LCODE to know record-specific details on the geocoding level.]
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Title: Hospitals Wisconsin 2001
Contributors:- Point data
- 2001
Summary: This point data layer represents hospitals in Wisconsin as of November 20, 2001. The dataset was originally published by the Wisconsin State Department of Health Services in November 2001.[This data layer is a point shapefile showing the distribution of WI hospitals as of 11/20/2001. It shows the result of geocoding the addresses from the WiDHFS hospital data set. It is referenced to the Wisconsin Transverse Mercator (WTM) projection system, North American Datum 1983 with the 1991 adjustment (NAD83/91). Some addresses are not geocoded to the street level due to inadequance of exact information. Refer to MCODE and LCODE to know record-specific details on the geocoding level.]
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Title: (Los Angeles - San Bernardino Basin, circa 1880) (Raster Image)
Contributors:- Raster data
- 2015
Summary: This layer is a georeferenced image of a hand drawn map of the Los Angeles-San Bernadino Basin originally created by Wm. H. Hall, State Engineer, California c1880. The original map appears in 'History Of The Expedition Under The Command Of Captains Lewis And Clark, To The Sources Of The Missouri, Thence Across The Rocky Mountains And Down The River Columbia To The Pacific Ocean. Performed During The Years 1804-5-6. By order of the Government Of The United States. Prepared For The Press By Paul Allen, Esquire. In Two Volumes. Vol. I. Philadelphia: Published By Bradford And Inskeep, New York. J. Maxwell, Printer. 1814 ... Vol. II.'The historic map layers in the Google Earth Rumsey Map Collection have been selected by David Rumsey from his large collection of historical maps, as well as some from other collections with which he collaborates. All the maps contain rich information about the past and represent a sampling of time periods, scales, and cartographic art, resulting in visual history stories that only old maps can tell. Each map has been georeferenced by Rumsey, thus creating unique digital map images that allow the old maps to appear in their correct places on the modern globe. Some of the maps fit perfectly in their modern spaces, while othersgenerally earlier period mapsreveal interesting geographical misconceptions of their time. Cultural features on the maps can be compared to the modern satellite views using the slider bars to adjust transparency. The result is an exploration of time as well as space, a marriage of historic cartographic masterpieces with innovative contemporary software tools.
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Title: New York, NY (State Senate Districts, 2005)
Contributors:- Polygon data
- 2005
Summary: New York State Senate district boundaries for the City of New York. These district boundaries represent the redistricting as of the US Census 2000.
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Title: Lidar-Derived Countywide 1-ft DEM for Manitowoc County, WI 2023
Contributors:- Raster data
- 2023
Summary: This data represents a Lidar-derived countywide 1-ft Digital Elevation Model (DEM) for Manitowoc County, Wisconsin in 2023. This dataset is in WISCRS coordinates for Manitowoc County with elevation in feet. A DEM represents the bare-Earth surface, removing all natural and built features.
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Title: Lidar-Derived Countywide 30-cm DEM for Manitowoc County, WI 2023
Contributors:- Raster data
- 2023
Summary: This data represents a Lidar-derived countywide 30-cm Digital Elevation Model (DEM) for Manitowoc County, Wisconsin in 2023. This dataset is in WTM coordinates (EPSG 3071) with elevation in meters. A DEM represents the bare-Earth surface, removing all natural and built features.
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Title: Lidar-Derived Countywide 1-ft DEM for Buffalo County, WI 2023
Contributors:- Raster data
- 2023
Summary: This data represents a Lidar-derived countywide 1-ft Digital Elevation Model (DEM) for Buffalo County, Wisconsin in 2023. This dataset is in WISCRS coordinates for Buffalo County with elevation in feet. A DEM represents the bare-Earth surface, removing all natural and built features.