Digital elevation model (DEM) data are arrays of regularly spaced elevation values referenced horizontally either to a Universal Transverse Mercator (UTM) projection or to a geographic coordinate system. The grid cells are spaced at regular intervals along south to north profiles that are ordered from west to east. The U.S. Geological Survey (USGS) produces five primary types of elevation data: 7.5-minute DEM, 30-minute DEM, 1-degree DEM.These datasets were derived from USGS 7.5' DEM Quads for the main 8 Hawaiian Islands. Individual DEM quads were converted to a common datum, and vertical unit, and subsequently mosaicked in ArcGIS 9.x. The DEM for Hawaii (Big Island) has a coordinate system of NAD83 UTM5N. The DEM for the remaining 7 islands (Maui, Kahoolawe, Lanai, Molokai, Oahu, Kauai and Niihau) have a coordinate system of NAD83 UTM4N. All rasters have a spatial resolution of 10 meters and are in the ESRI grid format. On this metadata sheet, the bounding coordinates and row and column counts are for a hypothetical 10m grid that would contain the 8 main Hawaiian Islands. For bounding coordinates and the number of rows and columns for each actual, individual DEM, users should consult their respective layer properties.

These are Digital Elevation Model (DEM) data for Maine as part of the required deliverables for the ME_MidCoast_B21_2021, Work Units 220045 and 300071 project. Class 2 (ground) LiDAR points in conjunction with the hydro breaklines were used to create a 1-meter hydro-flattened Raster DEM.Dataset Description: The ME_MidCoast_B21_2021, Work Unit 300071 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, 2020 Rev. A. This project was done at Quality Level 2. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 19N, Meter and vertical datum of NAVD88 Geoid 18, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 3333 individual 1500 m x 1500 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring and fall 2021 through 2022, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial utilized a total of 56 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 190 independent accuracy checkpoints, 107 in Bare Earth and Urban landcovers (107 NVA points), 83 in Tall Weeds categories (83 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.The ME_MidCoast_B21_2021, Work Unit 220045 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 19N, Meter and vertical datum of NAVD88 Geoid 18, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 1877 individual 1500 m x 1500 m tiles. Intensity imagery were formatted to 1877 individual 1500 m x 1500 m tiles. DEMs were formatted to 1885 individual 1500 m x 1500 m tiles. Continuous breaklines were produced in Esri file geodatabase format. There are 8 fewer LAS and intensity deliverables than the 1,885 that appear in the tile index. The following tiles contain no deliverable points due to being over water: 19TEJ558885.las, 19TFK616921.las, 19TFK625933.las, 19TFK627933.las, 19TFK640939.las, 19TFK651948.las, 19TFK660957.las, 19TFK652930.las. Ground Conditions: LiDAR was collected in spring 2021, while no snow was on the ground and rivers were at or below normal levels.

The U.S. Geological Survey has developed a National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second and 1/3 arc second data are: Geographic coordinate system Horizontal datum of NAD83, except for AK which is NAD27 Vertical datum of NAVD88, except for AK which is NAVD29 Z units of meters.Source data for this service are from the U.S. Geological Survey. These data were provided to the University of Idaho Library in November, 2004 by Mr. Tracy Fuller, USGS Idaho Mapping Liaison, Boise, Idaho.

These hillshade datasets were derived from USGS 7.5' DEM Quads for the main 8 Hawaiian Islands. Individual DEM quads were first converted to a common datum, and vertical unit, and subsequently mosaicked in ArcGIS 9.x. The hillshade were created from these DEMs using the Hillshade function in ArcGIS 9.2's Spatial Analyst Extension. For all the hillshades, the altitude was set at 45, the Z factor at 1 and the output cell size at 10. The azimuth was set to 45 for the Hawaii (Big Island), Maui and Kauai hillshades. The azimuth was set to 315 for the remaining island hillshades. All rasters are 16 bit signed integers with a spatial resolution of 10 meters. They are in the ERDAS Imagine (.img) format and are referenced to the NAD83 UTM coordinate system. The hillshade for Hawaii (Big Island) is in UTM zone 5N, and the hillshades for the remaining 7 islands are in UTM zone 4N. On this metadata sheet, the bounding coordinates and row and column counts are for a hypothetical 10m grid that would contain the 8 main Hawaiian Islands. For bounding coordinates and the number of rows and columns for each actual, individual hillshade, users should consult their respective layer properties.

Digital Terrain Model (bare earth) of parts of Maui and Molokai. Partial coverage Vexcel, Inc. LIDAR of Maui and Molokai were purchased by County of Maui to assist with three-dimensional modeling of structures in areas of higher development. 1'/px, LIDAR-derived, bare earth DEM/elevation raster of parts of Maui and Molokai – specifically, Central Molokai, Kahului, Kihei, Lahaina and Pukalani. XY units: feet, Z units: meters. Use Limitations: 1.Disclaimer - This dataset is being placed in the public domain. Any use is allowed except for re-sale. Neither Vexcel, Inc., the County of Maui, nor the State of Hawaii make any guarantees, expressed or implied, regarding its accuracy or fitness of use. Users should verify XYZ values through a licensed surveyor for any engineering application. This data should only be used as a guide, vs. a statement of fact regarding real-world conditions. 2.Vertical Datum - The originator of this LIDAR dataset, Vexcel Inc. of Boulder, Colorado referenced Z values to the North American Vertical Datum of 1988 (NAVD88). NAVD88 is not recognized as a valid vertical reference for the state of Hawaii. Currently Hawaii has no official (de jure or de facto) vertical datum, and NOAA's National Geodetic Survey (NGS) recommends that elevations be referenced to the nearest NOAA tidal gauge. A legacy LIDAR dataset produced in 2013 by the United States Army Corps of Engineers (USACE) used NAD83(PA11) as its vertical reference. In theory this approach should result in better accuracy for the Z dimension as PA11 is a Pacific plate-centric datum. In comparing flat areas containing neither structures or vegetation, it was found that the Vexcel values sit approximately 4 feet above the USACE dataset. The vertical datum issue was brought to the attention of Vexcel, Inc. Vexcel used the 2013 USACE LIDAR as vertical control to correct their LIDAR data. The (corrected) .las data is shared as it was delivered. As stated above, the use of this data transfers all risks and assumption of responsibility to the user. For more information see https://files.hawaii.gov/dbedt/op/gis/data/Maui_2019_DTM.html or contact County of Maui at GISMonitor@co.maui.hi.us or Hawaii Statewide GIS Program at gis@hawaii.gov.

The existence, sources, distribution, circulation, and physicochemical nature of macroscale oceanic water bodies have long been a focus of oceanographic inquiry. Building on that work, this paper describes an objectively derived and globally comprehensive set of 37 distinct volumetric region units, called ecological marine units (EMUs). They are constructed on a regularly spaced ocean point-mesh grid, from sea surface to seafloor, and attributed with data from the 2013 World Ocean Atlas version 2. The point attribute data are the means of the decadal averages from a 57-year climatology of six physical and chemical environment parameters (temperature, salinity, dissolved oxygen, nitrate, phosphate, and silicate). The database includes over 52 million points that depict the global ocean in x, y, and z dimensions. The point data were statistically clustered to define the 37 EMUs, which represent physically and chemically distinct water volumes based on spatial variation in the six marine environmental characteristics used. The aspatial clustering to produce the 37 EMUs did not include point location or depth as a determinant, yet strong geographic and vertical separation was observed. Twenty-two of the 37 EMUs are globally or regionally extensive, and account for 99% of the ocean volume, while the remaining 15 are smaller and shallower, and occur around coastal features. We assessed the vertical distribution of EMUs in the water column and placed them into classical depth zones representingepipelagic (0 m to 200 m), mesopelagic (200 m to 1,000 m), bathypelagic (1,000 m to 4,000 m) and abyssopelagic (>4,000 m) layers. The mapping and characterization of the EMUs represent a new spatial framework for organizing and understanding the physical, chemical, and ultimately biological properties and processes of oceanic water bodies. The EMUs are an initial objective partitioning of the ocean using longterm historical average data, and could be extended in the future by adding new classification variables and by introducing functionality to develop time-specific EMU distribution maps. The EMUs are an open-access resource, and as both a standardized geographic framework and a baseline physicochemical characterization of the oceanicenvironment, they are intended to be useful for disturbance assessments, ecosystem accounting exercises, conservation priority setting, and marine protected area network design, along with other research and management applications.

This dataset has been deprecated. Please use our 2017 Countywide Contours instead.These data comprise of one foot contours showing the elevation of Lake County, IL corresponding to the orthometric heights of the bare surface of the county (no buildings or vegetation cover). These data were developed from LIDAR data obtained between April 16, 2007 and May 07, 2007, and further supplemented by break lines collected from aerial photography taken at the same time. The contours and the aerial photography meet National Map Accuracy Standards for a 1 inch = 100 foot product. The contours have been created to be cartographically pleasing, as such some generalization has been introduced as expected. The contours have been tested against the original LIDAR points and conforms to the American Society for Photogrammetry and Remote Sensing (ASPRS) Specifications and Standards Committee, 1990, ASPRS Accuracy Standards for Large-Scale Maps, CLASS 1 map accuracy. The vertical datum is the North American Vertical Datum of 1988. The U.S. Army Corps of Engineers Engineering and Design Manual for Photogrammetric Production recommends that data intended for this usage scale be used for any of the following purposes: route location, preliminary alignment and design, preliminary project planning, hydraulic sections, rough earthwork estimates, or high-gradient terrain / low unit cost earthwork excavation estimates. The manual does not recommend that these data be used for final design, excavation and grading plans, earthwork computations for bid estimates or contract measurement and payment. Contour data is used by county agencies to study drainage issues such as flooding and erosion. Customers interested in the actual LiDAR data may download it at no cost from the USGS Center for LiDAR Information Coordination and Knowledge. These files are tiled by PLSS section and grouped by township and format for easier download. Please note that this dataset is available in for GIS in Esri shapefile format as well as for CAD in AutoCAD DWG and MicroStation DGN. We are unable to provide any support for CAD users beyond providing the data.

[Metadata] Geoid 12B: Hybrid geoid model used to convert the ellipsoidal height obtained by the Global Navigation Satellite System (to the orthometric height of a specific vertical datum). The National Geodetic Survey (NGS) has been producing the hybrid geoid to convert the ellipsoidal height obtained from the Global Navigation Satellite System (GNSS) to the orthometric height of a specific vertical datum. The GEOID12B model is intended to transform between NAD 83 (2011/PA11/MA11) and the respective vertical datums for the different regions, including NAVD88, GUVD04, ASVD02, NMVD03, PRVD02 and VIVD09.NOAA National Geodetic Survey Dataset (Processed by Craig Clouet, Esri) Raster dataset converted to polygon, April, 2017. Units represent the difference to Height Above Ellipsoid (HAE).Source: National Geodetic Survey (https://geodesy.noaa.gov/GEOID/), April 2017 Feb 2025 – per the Pacific Geodetic Advisor, Geoid12B is still the latest version of this data. Geoid18 does not apply to Hawaii or the Pacific Islands.For additional information, please see metadata at https://files.hawaii.gov/dbedt/op/gis/data/geoid_12b.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; Phone: (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

This service hosts a raster image generated from raw DEM (Digital Elevation Model) data gathered for the Shuttle Radar Topography Mission (SRTM). The mission was co-sponsored by the National Aeronautics and Space Administration (NASA) and National Geospatial-Intelligence Agency (NGA). NASA's Jet Propulsion Laboratory (JPL) performed preliminary processing of SRTM data and forwarded it to the NGA for further processing and distribution. The raster image hosted by this service was generated using ArcGIS tools to convert DEM data for the state of California into a raster image. The results were reprojected into World Mercator (WKID: 54004) for display purposes. Pixel size is approximately 90 meters and vertical units are defined in meters. ESRI reserves the right to change or remove this service at any time and without notice. Copyright: Copyright:© 2010 ESRI

The U.S. Geological Survey has developed a National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second and 1/3 arc second data are: Geographic coordinate system Horizontal datum of NAD83, except for AK which is NAD27 Vertical datum of NAVD88, except for AK which is NAVD29 Z units of meters NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Extension, ArcGIS 10 for Server on-premise, ArcGIS API for Javascript, IIS web services based on .NET, and ArcGIS Online combining data on the cloud with data and applications on our local server to develop an Atlas that brings together many of the map themes related to development of roots, tubers and banana crops. The Atlas is structured to allow our participating scientists to understand the distribution of the crops and observe the spatial distribution of many of the obstacles to production of these crops. The Atlas also includes an application to allow our partners to evaluate the importance of different factors when setting priorities for research and development. The application uses weighted overlay analysis within a multi-criteria decision analysis framework to rate the importance of factors when establishing geographic priorities for research and development.

Datasets of crop distribution maps, agroecology maps, biotic and abiotic constraints to crop production, poverty maps and other demographic indicators are used as a key inputs to multi-objective criteria analysis.

Further metadata/references can be found here: http://gisweb.ciat.cgiar.org/RTBmaps/DataAvailability_RTBMaps.html

The U.S. Geological Survey has developed a National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second and 1/3 arc second data are: Geographic coordinate system Horizontal datum of NAD83, except for AK which is NAD27 Vertical datum of NAVD88, except for AK which is NAVD29 Z units of meters NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

The U.S. Geological Survey has developed a National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. In addition to the availability of complete 7.5-minute data, efficient processing methods were developed to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second and 1/3 arc second data are: Geographic coordinate system Horizontal datum of NAD83, except for AK which is NAD27 Vertical datum of NAVD88, except for AK which is NAVD29 Z units of meters

 NOTE: This EML metadata file does
      not contain important geospatial data processing information. Before using any NWT
      LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC
      compliant format, using ArcGIS software (ArcCatalog > description), or by viewing
      the .xml file provided with the geospatial dataset.

This dataset has been deprecated. Please use our 2017 Countywide Contours instead.These data comprise of one foot contours showing the elevation of Lake County, IL corresponding to the orthometric heights of the bare surface of the county (no buildings or vegetation cover). These data were developed from LIDAR data obtained between April 16, 2007 and May 07, 2007, and further supplemented by break lines collected from aerial photography taken at the same time. The contours and the aerial photography meet National Map Accuracy Standards for a 1 inch = 100 foot product. The contours have been created to be cartographically pleasing, as such some generalization has been introduced as expected. The contours have been tested against the original LIDAR points and conforms to the American Society for Photogrammetry and Remote Sensing (ASPRS) Specifications and Standards Committee, 1990, ASPRS Accuracy Standards for Large-Scale Maps, CLASS 1 map accuracy. The vertical datum is the North American Vertical Datum of 1988. The U.S. Army Corps of Engineers Engineering and Design Manual for Photogrammetric Production recommends that data intended for this usage scale be used for any of the following purposes: route location, preliminary alignment and design, preliminary project planning, hydraulic sections, rough earthwork estimates, or high-gradient terrain / low unit cost earthwork excavation estimates. The manual does not recommend that these data be used for final design, excavation and grading plans, earthwork computations for bid estimates or contract measurement and payment. Contour data is used by county agencies to study drainage issues such as flooding and erosion. Customers interested in the actual LiDAR data may download it at no cost from the USGS Center for LiDAR Information Coordination and Knowledge. These files are tiled by PLSS section and grouped by township and format for easier download. Please note that this dataset is available in for GIS in Esri shapefile format as well as for CAD in AutoCAD DWG and MicroStation DGN. We are unable to provide any support for CAD users beyond providing the data.

LiDAR surface representing the heights of above ground features derived by subtracting bare earth elevation from digital surface model elevation. Due to the subtraction, ground elevations are set to zero, or nearly zero, and should not be used. Only the heights of above ground features are valid in this layer. Vertical Units are in feet referenced to North American Vertical Datum of 1988 (NAVD88). The data was captured in December 2018 and further details can be found in the LiDAR report. To download LiDAR data, please go to the US Geological Survey's National Map Viewer.

One foot generalization geoprocessing to reduce the number of vertices in order to run in AGO. The polygon features within this dataset represent the extent of watersheds within the Sonoma County Hydro Enforcement study area. Watersheds are defined based on drainage area and confining topography, and are classified according to the existing Hydrologic Unit Codes (HUC). Watersheds were digitized using vectors and rasters derived from LiDAR data acquired for the NASA ROSES Sonoma County LiDAR and Imagery Survey (2014). The projection is California State Plane (CASP) 2, the horizontal datum is NAD83 (2011), the vertical datum is NAVD88 (Geoid 12A), and the units are US Survey Feet.

The ME_SouthCoastal_2_2020 Work Unit 212010 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LiDAR Specification, Version 2.1. The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 19N, Meter and vertical datum of NAVD88 Geoid 18, Meter. LiDAR data were delivered as processed Classified LAS 1.4 files formatted to 128 individual 1500 m x 1500 m tiles, as tiled intensity imagery, and as tiled bare earth DEMs; all tiled to the same 1500 m x 1500 m schema. Continuous breaklines were produced in Esri file geodatabase format. Ground Conditions: LiDAR was collected in spring 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications and meet ASPRS vertical accuracy guidelines, NV5 Geospatial, powered by Quantum Spatial utilized a total of 64 ground control points that were used to calibrate the LiDAR to known ground locations established throughout the project area. An additional 151 independent accuracy checkpoints, 86 in Bare Earth and Urban landcovers (86 NVA points), 65 in Tall Weeds categories (65 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This Elevation Grid is a raster representation of land elevation of Wisconsin, derived from the US Geological Survey's 10-meter National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. In addition to the availability of complete 7.5-minute data, USGS developed processing methods to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second (30 meter) and 1/3 arc second (10 meter) data are: Geographic coordinate system Horizontal datum of NAD83, except for AK which is NAD27; Vertical datum of NAVD88, except for AK which is NAVD29 Z units of meters*to download this item from the DNR Open Data Portal, simply visit the item and your browser will automatically prompt you to download it.

This Hillshade image is a raster representation of land elevation of Wisconsin, derived from the US Geological Survey's 10-meter National Elevation Dataset (NED). The NED is a seamless mosaic of best-available elevation data. The 7.5-minute elevation data for the conterminous United States are the primary initial source data. USGS developed processing methods to filter production artifacts in the existing data, convert to the NAD83 datum, edge-match, and fill slivers of missing data at quadrangle seams. One of the effects of the NED processing steps is a much-improved base of elevation data for calculating slope and hydrologic derivatives. The specifications for the NED 1 arc second (30 meter) and 1/3 arc second (10 meter) data are: Geographic coordinate system Horizontal datum of NAD83, except for AK which is NAD27; Vertical datum of NAVD88, except for AK which is NAVD29 Z units of meters*to download this item from the DNR Open Data Portal, simply visit the item and your browser will automatically prompt you to download it.

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.