24 datasets found
  1. Wisconsin DEM and Hillshade from LiDAR - Web Map

    • data-wi-dnr.opendata.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jan 17, 2019
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    Wisconsin Department of Natural Resources (2019). Wisconsin DEM and Hillshade from LiDAR - Web Map [Dataset]. https://data-wi-dnr.opendata.arcgis.com/maps/f2e49a42f5e14dd5845536408279da9d
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    Dataset updated
    Jan 17, 2019
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Area covered
    Description

    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.

  2. a

    Wisconsin Hillshade from LiDAR

    • data-wi-dnr.opendata.arcgis.com
    Updated Jan 10, 2019
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    Wisconsin Department of Natural Resources (2019). Wisconsin Hillshade from LiDAR [Dataset]. https://data-wi-dnr.opendata.arcgis.com/datasets/d5a4498fe0294f92a8b6729948a7d71d
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    Dataset updated
    Jan 10, 2019
    Dataset authored and provided by
    Wisconsin Department of Natural Resources
    Area covered
    Description

    Note: This service is only for using online; full resolution downloads are not supported. Hillshade image service created from Digital Elevation Models (DEMs) derived from county-produced LiDAR covering several Wisconsin counties, with a vertical exaggeration factor of 2. This service was last updated in May, 2023. It can be used in conjunction with its associated Index layer, DEM and Hillshade from LiDAR - Index, to determine flight years of source LiDAR and resolution of source DEMs. Also see the Index layer item details for detailed information about counties included in this service and in related services: DEM from LiDAR (Units in Meters) and DEM from LiDAR (Units in Feet).Some areas display as data gaps (white artifacts) when the service is viewed at statewide scales but display normally when zoomed in to scales of approximately 1:1,000,000 or larger. We hope to address the no-data areas and small-scale data gaps in future updates to this service. The source DEMs have not been hydrologically conditioned. The Vertical Datum for the DEMs is NAVD88.

    The Hillshade is intended for visualization of the landscape, rather than analysis. When queried, the Hillshade pixel values do not indicate elevation; instead, the pixel values range from 0 to 255 because the image is rendered as an 8-bit greyscale image. If elevation values are needed, use the LiDAR-Derived DEM Imagery Layer.

    WI DNR acknowledges the USDA Natural Resources Conservation Service, USGS, FEMA, the Southeastern WI Regional Planning Commission, and the individual counties listed in DEM and Hillshade from LiDAR - Index, for making source data available. For more information, visit https://dnr.wi.gov/feedback/ and choose Geographic Information Systems Data as the subject.

  3. a

    Wisconsin DEM from LiDAR (Units in Feet)

    • hub.arcgis.com
    Updated Jan 14, 2019
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    Wisconsin Department of Natural Resources (2019). Wisconsin DEM from LiDAR (Units in Feet) [Dataset]. https://hub.arcgis.com/datasets/2b34b918351f4e4e942a084d00f01971
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    Dataset updated
    Jan 14, 2019
    Dataset authored and provided by
    Wisconsin Department of Natural Resources
    Area covered
    Description

    Note: This service is only for using online; full resolution downloads are not supported. To enable pop ups when opening this in a new web map, then click the ellipsis (three blue dots) under the layer name in the contents, and choose Enable Pop-up.Image service created from Digital Elevation Models (DEMs) derived from county-produced LiDAR covering Wisconsin. Elevation units are in feet. This service was last updated May 2023. It can be used in conjunction with its associated Index layer, DEM and Hillshade from LiDAR - Index, to determine flight years of source LiDAR and resolution of source DEMs. Also see the Index layer item details for detailed information about counties included in this service and in related services: DEM from LiDAR (Units in Meters) and Hillshade from LiDAR.Some areas display as data gaps (white artifacts) when the service is viewed at statewide scales but display normally when zoomed in to scales of approximately 1:1,000,000 or larger. We hope to address the no-data areas and small-scale data gaps in future updates to this service. The source DEMs have not been hydrologically conditioned. The Vertical Datum for the DEMs is NAVD88.WI DNR acknowledges the USDA Natural Resources Conservation Service, USGS, FEMA, the Southeastern WI Regional Planning Commission, and the individual counties listed in DEM and Hillshade from LiDAR - Index, for making source data available. For more information, visit https://dnr.wi.gov/feedback/ and choose Geographic Information Systems Data as the subject.

  4. 2021 USGS Lidar: WI Statewide

    • fisheries.noaa.gov
    las/laz - laser
    Updated Sep 29, 2022
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    OCM Partners (2022). 2021 USGS Lidar: WI Statewide [Dataset]. https://www.fisheries.noaa.gov/inport/item/69369
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    las/laz - laserAvailable download formats
    Dataset updated
    Sep 29, 2022
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Mar 28, 2021 - Apr 1, 2021
    Area covered
    Description

    Product: These lidar data are processed Classified LAS 1.4 files, formatted to individual 4500 ft x 4500 ft tiles; used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.

    Geographic Extent: 8 counties in Wisconsin, covering approximately 6733 total square miles. Crawford - covers approximately 606 square miles Juneau - covers approximately 813 square miles K...

  5. 2015 USGS Lidar: Iron County, WI

    • fisheries.noaa.gov
    las/laz - laser
    Updated May 1, 2015
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    OCM Partners (2015). 2015 USGS Lidar: Iron County, WI [Dataset]. https://www.fisheries.noaa.gov/inport/item/58881
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    las/laz - laserAvailable download formats
    Dataset updated
    May 1, 2015
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Apr 15, 2015 - Apr 17, 2015
    Area covered
    Description

    Ayres Associates provided Iron County, Wisconsin, with lidar based topographic mapping services in the spring of 2015 as part of WROC. The LiDAR data was collected on 2015/04/15 to 2015/04/17 using an Optech Orion H300 sensor mounted in a fixed-wing aircraft. LiDAR data was collected to support the generation of 2-foot contours to meet FEMA vertical accuracy standards. The LiDAR data was delive...

  6. a

    Jackson County LiDAR Map

    • share-open-data-jacksoncowi.hub.arcgis.com
    Updated Mar 21, 2024
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    Jackson County, WI (2024). Jackson County LiDAR Map [Dataset]. https://share-open-data-jacksoncowi.hub.arcgis.com/maps/0aff8d04d31b475a96f0ce7e14b9c3db
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    Dataset updated
    Mar 21, 2024
    Dataset authored and provided by
    Jackson County, WI
    Area covered
    Description

    A web layer used for sharing LiDAR data in the Jackson County Open Data Hub site.

  7. 2017 FEMA Lidar: Waushara County, WI

    • fisheries.noaa.gov
    las/laz - laser +1
    Updated May 1, 2018
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    OCM Partners (2018). 2017 FEMA Lidar: Waushara County, WI [Dataset]. https://www.fisheries.noaa.gov/inport/item/72329
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    not applicable, las/laz - laserAvailable download formats
    Dataset updated
    May 1, 2018
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Nov 7, 2017 - Nov 8, 2017
    Area covered
    Description

    Geographic Extent: Waushara County, Wisconsin covering approximately 647 square miles.

    Dataset Description of Original Data: Waushara County, Wisconsin 2017 QL2 LiDAR project required planning and acquisition of LiDAR data collected with a point density of 2 pulses per meter with at a nominal point spacing of 0.71 meters. Project specifications were based on the U.S. Geological Survey N...

  8. 2015 FEMA Lidar: Marinette County, WI

    • fisheries.noaa.gov
    las/laz - laser
    Updated Aug 30, 2015
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    OCM Partners (2015). 2015 FEMA Lidar: Marinette County, WI [Dataset]. https://www.fisheries.noaa.gov/inport/item/58940
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    las/laz - laserAvailable download formats
    Dataset updated
    Aug 30, 2015
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Apr 15, 2015 - Apr 24, 2015
    Area covered
    Description

    The collection area consists of 1,430 square miles, the entirety of Marinette County in Wisconsin.. Specifications listed below are based on FEMA Procedure Memorandum No. 61 Standards for LiDAR and Other High Quality Digital Topography. This collection specification is the equivalent of a 2 foot contour accuracy, and was collected with a nominal pulse spacing of 1.3 meters. The airbo...

  9. Wisconsin Wetland Inventory NWI Polygon Layer (LiDAR based mapping)

    • data-wi-dnr.opendata.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Mar 25, 2022
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    Wisconsin Department of Natural Resources (2022). Wisconsin Wetland Inventory NWI Polygon Layer (LiDAR based mapping) [Dataset]. https://data-wi-dnr.opendata.arcgis.com/datasets/wi-dnr::wisconsin-wetland-inventory-nwi-polygon-layer-lidar-based-mapping/about
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    Dataset updated
    Mar 25, 2022
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Area covered
    Description

    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

  10. DEM and DSM Data Based on Leaf-off Lidar for the Core Area in CHEESEHEAD...

    • data.ucar.edu
    ascii
    Updated Dec 26, 2024
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    Philip Townsend; Ting Zheng (2024). DEM and DSM Data Based on Leaf-off Lidar for the Core Area in CHEESEHEAD Domain [Dataset]. http://doi.org/10.26023/19J9-8S9N-S50Y
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    asciiAvailable download formats
    Dataset updated
    Dec 26, 2024
    Dataset provided by
    University Corporation for Atmospheric Research
    Authors
    Philip Townsend; Ting Zheng
    Time period covered
    Jun 24, 2019 - Oct 11, 2019
    Area covered
    Description

    This dataset provides the digital elevation model (DEM) and digital surface model (DSM) for CHEESEHEAD core study area (10km ×10km). DEM and DSM are projected to WGS 84 / UTM zone 15N (EPSG:32615) at 1m spatial resolution. The unit for the height is foot. The DEM and DSM are mosaics from tiles for three counties: Ashland (2019), Iron (2019), and Price (2018). All the tiles are derived from leaf-off lidar point cloud collected by USGS and can be found at https://geodata.wisc.edu/?f%5Bdct_provenance_s%5D%5B%5D=WisconsinView . Tiles used in this dataset and quality for each tile are recorded in tile_lookup.csv The GeoData@Wisconsin is an online geoportal that provides discovery and access to Wisconsin geospatial data, imagery, and scanned maps. It is developed and maintained by the UW-Madison Geography Department's Robinson Map Library and State Cartographer's Office.

  11. NOAA Office for Coastal Management Coastal Digital Elevation Model: Lake...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +3more
    Updated Oct 31, 2024
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    NOAA Office for Coastal Management (Point of Contact, Custodian) (2024). NOAA Office for Coastal Management Coastal Digital Elevation Model: Lake Superior [Dataset]. https://catalog.data.gov/dataset/noaa-office-for-coastal-management-coastal-digital-elevation-model-lake-superior1
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    Dataset updated
    Oct 31, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Lake Superior
    Description

    These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the NOAA Lake Level Viewer. It depicts potential lake level rise and fall and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at lake level change, coastal flooding impacts, and exposed lakeshore. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The NOAA Lake Level Viewer may be accessed at: https://coast.noaa.gov/llv. This metadata record describes the Lake Superior digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Lake Level Viewer described above. This DEM includes the best available lidar, US Army Corps of Engineer dredge surveys, and National Park Service multibeam data known to exist at the time of DEM creation that met project specifications. This DEM includes data for Alger, Baraga, Chippewa, Gogebic, Houghton, Keweenaw, Luce, Marquette, and Ontonagon counties in Michigan; Cook, Lake, and St. Louis counties in Minnesota; and Ashland, Bayfield, Douglas, and Iron counties in Wisconsin. The DEM was produced from the following lidar data sets: 1. 2007, USACE NCMP Topobathy Lidar: Lake Superior (Apostle Islands) and Lake Ontario (NY, WI) 2. 2008, USACE NCMP Topobathy Lidar: Lake Superior (Wisconsin and Michigan) 3. 2009, USACE NCMP Topobathy Lidar: Lake Superior (Duluth, MN) 4. 2009, USACE NCMP Topobathy Lidar: Isle Royale (MI) 5. 2009, USACE NCMP Topobathy Lidar: Apostle Islands, Wisconsin 6. 2009, USACE Lidar: Duluth, MN and Superior, WI (Including shoreline in Douglas, Bayfield, Ashland, and Iron Counties) 7. 2010, EPA Great Lakes Restoration Initiative (GLRI) Bathymetric Lidar: Lake Superior (MI, MN, WI) 8. 2011, USACE NCMP Topobathy Lidar: MI/NY Great Lakes 9. 2011, Northeast Minnesota / Arrowhead Lidar 10. 2013, USACE NCMP Topobathy Lidar: Stamp Sands, Lake Superior (MI) 11. 2013, USACE NCMP Topobathy Lidar: St. Marys River (MI) 12. 2013, USACE NCMP Topobathy Lidar: Lake Superior (MI) 13. 2015, FEMA Ashland County 14. 2016, USACE NCMP Topobathy Lidar: Stamp Sands (MI) The DEM was produced from the following sonar data sets: 15. USACE Harbor Dredge Surveys (9 surveys) 16. 2013, National Park Service, Pictured Rocks National Lakeshore Multibeam Sonar 17. 2014, National Park Service, Pictured Rocks National Lakeshore Multibeam Sonar The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

  12. d

    UMRR Pool 4 Bathymetry Footprint

    • search.dataone.org
    Updated Jun 1, 2017
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    Jenny Hanson; Jayme Stone (2017). UMRR Pool 4 Bathymetry Footprint [Dataset]. https://search.dataone.org/view/78420812-32ba-4897-8b0f-1aae599272c4
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Jenny Hanson; Jayme Stone
    Time period covered
    Aug 21, 1989 - Sep 14, 2001
    Area covered
    Variables measured
    Day, DATE, Year, Acres, Month, Method, Hectares, pts_acre, pts_hect, Join_Count, and 1 more
    Description

    The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental assessments such as vegetation distribution patterns. The bathymetry "footprint" is a database that can be used as a tool to provide a quick search of collection dates corresponding to bathymetric coverages within each LTRM pool.

  13. 2019 USACE NCMP Topobathy Lidar: Lake Superior (MI, MN, WI)

    • fisheries.noaa.gov
    html
    Updated Jan 1, 2020
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    OCM Partners (2020). 2019 USACE NCMP Topobathy Lidar: Lake Superior (MI, MN, WI) [Dataset]. https://www.fisheries.noaa.gov/inport/item/63040
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    htmlAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Jun 10, 2019 - Aug 21, 2019
    Area covered
    Description

    These files contain classified topo/bathy lidar data. Data are classified as 1 (valid non-ground topographic data), 2 (valid ground topographic data), and 29 (valid bathymetric data). Classes 1 and 2 are defined in accordance with the American Society for Photogrammetry and Remote Sensing (ASPRS) classification standards. These data were collected by the Coastal Zone Mapping and Imaging Lidar (...

  14. Wisconsin DEM from LiDAR (Units in Meters)

    • data-wi-dnr.opendata.arcgis.com
    • hub.arcgis.com
    Updated Jan 14, 2019
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    Wisconsin Department of Natural Resources (2019). Wisconsin DEM from LiDAR (Units in Meters) [Dataset]. https://data-wi-dnr.opendata.arcgis.com/datasets/wi-dnr::wisconsin-dem-from-lidar-units-in-meters
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    Dataset updated
    Jan 14, 2019
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Area covered
    Description

    Note: This service is only for using online; full resolution downloads are not supported. To enable pop ups when opening this in a new web map, click the ellipsis (three blue dots) under the layer name in the contents, and choose Enable Pop-up.Image service created from Digital Elevation Models (DEMs) derived from county-produced LiDAR covering several Wisconsin counties. Elevation units are in meters. This service was last updated in May, 2023. It can be used in conjunction with its associated Index layer, DEM and Hillshade from LiDAR - Index, to determine flight years of source LiDAR and resolution of source DEMs. Also see the Index layer item details for detailed information about counties included in this service and in related services: DEM from LiDAR (Units in Feet) and Hillshade from LiDAR.Some areas display as data gaps (white artifacts) when the service is viewed at statewide scales but display normally when zoomed in to scales of approximately 1:1,000,000 or larger. We hope to address the no-data areas and small-scale data gaps in future updates to this service. The source DEMs have not been hydrologically conditioned. The Vertical Datum for the DEMs is NAVD88.WI DNR acknowledges the USDA Natural Resources Conservation Service, USGS, FEMA, the Southeastern WI Regional Planning Commission, and the individual counties listed in DEM and Hillshade from LiDAR - Index, for making source data available. For more information, visit https://dnr.wi.gov/feedback/ and choose Geographic Information Systems Data as the subject.

  15. 2020 USACE NCMP Topobathy Lidar DEM: Lake Michigan (IL, IN, MI, WI)

    • fisheries.noaa.gov
    geotiff +1
    Updated Jan 1, 2020
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    OCM Partners (2020). 2020 USACE NCMP Topobathy Lidar DEM: Lake Michigan (IL, IN, MI, WI) [Dataset]. https://www.fisheries.noaa.gov/inport/item/71376
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    not applicable, geotiffAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    May 26, 2020 - Jun 25, 2020
    Area covered
    Description

    These files contain rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is no...

  16. a

    LiDAR 2010

    • data-racinecounty.opendata.arcgis.com
    Updated Nov 4, 2015
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    Racine County, WI (2015). LiDAR 2010 [Dataset]. https://data-racinecounty.opendata.arcgis.com/maps/1eb93a8a95c24a7c93a90e075c1e43a0
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    Dataset updated
    Nov 4, 2015
    Dataset authored and provided by
    Racine County, WI
    Area covered
    Description

    The SEWRPC Racine county project is to provide high accuracy bare-earth processed LiDAR data for the generation of 2 ft contours. The project consisted of acquisition, post-processing, and classification of LiDAR data. The classified bare-earth data achieved the following: All areas shall be collected at a nominal pulse spacing (NPS) of 1.3 meters based on Wisconsin State Plane South, related to the North American Datum of 1927 (NAD 27), National Geodetic Vertical Datum (NGVD 29) . Vertical accuracy was to achieve a RMSE Z of 0.50 ft (95% confidence level of less than 0.980 ft) or better in the "Open Terrain" land cover category for all areas.

    Accuracy statement is based on the area of moderate to flat terrain. Diminished accuracies are to be expected in areas in dense vegetation. The accuracy of the LiDAR data as tested met the vertical accuracy or better, however, derived products may be less accurate in areas of dense vegetation due to a lesser number of points defining the bare-earth in these areas.

  17. d

    UMRR Pool 12 Bathymetry Footprint

    • dataone.org
    Updated Jun 1, 2017
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    Jenny Hanson; Jayme Stone (2017). UMRR Pool 12 Bathymetry Footprint [Dataset]. https://dataone.org/datasets/930cf6c4-e1f9-451b-aadb-55d3a7b80278
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Jenny Hanson; Jayme Stone
    Time period covered
    Dec 1, 1998 - Dec 31, 2010
    Area covered
    Variables measured
    Day, DATE, Year, Acres, Month, Method, Hectares, pts_acre, pts_hect, Join_Count, and 1 more
    Description

    The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental assessments such as vegetation distribution patterns. The bathymetry "footprint" is a database that can be used as a tool to provide a quick search of collection dates corresponding to bathymetric coverages within each LTRM pool.

  18. Wisconsin DNR 5k Hydro Pilot

    • data-wi-dnr.opendata.arcgis.com
    Updated Jul 29, 2022
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    Wisconsin Department of Natural Resources (2022). Wisconsin DNR 5k Hydro Pilot [Dataset]. https://data-wi-dnr.opendata.arcgis.com/maps/ebf75c6d82524e86887a4bb4a0f1608a
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    Dataset updated
    Jul 29, 2022
    Dataset authored and provided by
    Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
    Area covered
    Description

    This feature layer contains Wisconsin hydro flowlines, area hydrography features and culvert lines created and developed by Wisconsin Department of Natural Resources DNR IT GIS Section as part of a pilot project to remap rivers, lakes and streams in Wisconsin coastal counties and HUC 8 watersheds at a scale of 1:5,000 (also referred to as 5k Hydro). WDNR staff used the most current Lidar DEM for each county as the input to the ACPF toolbox to create accumulation derived flowpaths. Waterbody area features and culverts were developed using Lidar breaklines, existing 24k GIS features, and digitization from multi-year aerial photography. Collection protocols followed USGS NHD digital elevation hydrography creation guidelines.Data DictionaryThis pilot 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 # NA21NOS4190086Dataset last Updated 4/22/2025.

  19. a

    Intensity Image 2013

    • hub.arcgis.com
    Updated Feb 6, 2025
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    Vilas County, Wisconsin (2025). Intensity Image 2013 [Dataset]. https://hub.arcgis.com/maps/vilas::intensity-image-2013-1
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Vilas County, Wisconsin
    Area covered
    Description

    Ayres Associates provided Vilas County, Wisconsin, with lidar based topographic mapping services in 2013-14. The LiDAR data was collected on May 13-17, 2013 using a Leica ALS 70 sensor mounted in a fixed-wing aircraft. LiDAR data was collected to support to support the generation of 2-foot contours to FEMA vertical accuracy standards. The LiDAR data was delivered according to a 5,000 foot x 5,000 foot tile schematic. The LiDAR data was calibrated using information collected at the time of flight from GPS base stations on the ground and airborne GPS/IMU in the aircraft. The calibrated LiDAR data was processed to a classified point cloud, bare earth DTM, DEM, DSM, contours, breaklines, and intensity images. Vilas County is located in north central Wisconsin and is bordered by the Upper Peninsula of Michigan along its northern boundary. The County is characterized by a high concentration of inland freshwater lakes and mixed northern forest. The confluence of the Eagle River and Wisconsin River is in the city of Eagle River, which is the county seat. The total project area is 1017 square miles.

  20. a

    LiDAR Finder

    • data-vilas.opendata.arcgis.com
    • hub.arcgis.com
    Updated Oct 31, 2017
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    Vilas County, Wisconsin (2017). LiDAR Finder [Dataset]. https://data-vilas.opendata.arcgis.com/maps/ae6fc96ad7714a20afcfbd4e48c22ef6
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    Dataset updated
    Oct 31, 2017
    Dataset authored and provided by
    Vilas County, Wisconsin
    Area covered
    Description

    Determine LiDAR data tile coverage using the custom index grid.

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Wisconsin Department of Natural Resources (2019). Wisconsin DEM and Hillshade from LiDAR - Web Map [Dataset]. https://data-wi-dnr.opendata.arcgis.com/maps/f2e49a42f5e14dd5845536408279da9d
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Wisconsin DEM and Hillshade from LiDAR - Web Map

Explore at:
3 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 17, 2019
Dataset authored and provided by
Wisconsin Department of Natural Resourceshttp://dnr.wi.gov/
Area covered
Description

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.

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