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8,490 results returned

  1. Title: USA (Populated Places, 2003)

    • Point data
    • 2008
    Contributors:

    Summary: This data set includes cities in the United States, Puerto Rico and the U.S. Virgin Islands. These cities were collected from the 1970 National Atlas of the United States. Where applicable, U.S. Census Bureau codes for named populated places were associated with each name to allow additional information to be attached. The Geographic Names Information System (GNIS) was also used as a source for additional information. This is a revised version of the December, 2003, data set.

  2. Title: Lidar-Derived Classified LAS for Dane County, WI 2024

    • Point data
    • 2024
    Contributors:

    Summary: This data represents LiDAR-derived classified LAS (LAZ Format) points for Dane County, Wisconsin in 2024. Point classification uses semi-automated techniques on the point cloud to assign the feature type associated with each point. LiDAR points can be classified into a number of categories including bare earth or ground, top of canopy, and water. The different classes are defined using numeric integer codes in the LAS files.

  3. Title: Lidar-Derived Intensity Images for Dane County, WI 2024

    • Raster data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived intensity images for Dane County, Wisconsin in 2024. Lidar intensity is recorded as the return strength of a laser beam. It is a bi-product, provided as an integer number between 1-256. This number varies with the composition of the surface object reflecting the laser beam. A low number indicates low reflectivity while a high number indicates high reflectivity. The intensity of the laser beam return can also be affected by the angle of arrival (scan angle), range, surface composition, roughness, and moisture content.

  4. Title: Lidar-Derived Breaklines for Dane County, WI 2024

    • Line data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived breaklines in Dane County, Wisconsin in 2024. Hydro breaklines maintain the definition of water-related features in an elevation model. They are used to capture linear discontinuities in the surface, lake shorelines, single-line drains for small rivers, and double-line drains for large rivers.

  5. Title: Lidar Tile Index for Dane County, WI 2024

    • Polygon data
    • 2024
    Contributors:

    Summary: This data represents the tile index used for Lidar-derived datasets in Dane County, Wisconsin in 2024. The tile index is a file that shows how tiled lidar datasets are labeled and where they are located geographically.

  6. Title: Lidar-Derived Tiled DEM for Dane County, WI 2024

    • Raster data
    • 2024
    Contributors:

    Summary: This data represents a Lidar-derived tiled Digital Elevation Model (DEM) for Dane County, Wisconsin in 2024. A DEM represents the bare-Earth surface, removing all natural and built features. This dataset contains individual files available for download consisting of smaller tiled geographic areas over the extent of an entire county.

  7. Title: Lidar-Derived Intensity Images for La Crosse County, WI 2024

    • Raster data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived intensity images for La Crosse County, Wisconsin in 2024. Lidar intensity is recorded as the return strength of a laser beam. It is a bi-product, provided as an integer number between 1-256. This number varies with the composition of the surface object reflecting the laser beam. A low number indicates low reflectivity while a high number indicates high reflectivity. The intensity of the laser beam return can also be affected by the angle of arrival (scan angle), range, surface composition, roughness, and moisture content.

  8. Title: Lidar-Derived Breaklines for La Crosse County, WI 2024

    • Line data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived breaklines for La Crosse County, Wisconsin in 2024. Hydro breaklines maintain the definition of water-related features in an elevation model. They are used to capture linear discontinuities in the surface, lake shorelines, single-line drains for small rivers, and double-line drains for large rivers.

  9. Title: Lidar-Derived Classified LAS for La Crosse County, WI 2024

    • Point data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived classified LAS (LAZ format) points for La Crosse County, Wisconsin in 2024. Point classification uses semi-automated techniques on the point cloud to assign the feature type associated with each point. LiDAR points can be classified into a number of categories including bare earth or ground, top of canopy, and water. The different classes are defined using numeric integer codes in the LAS files.

  10. Title: Lidar Tile Index for La Crosse County, WI 2024

    • Polygon data
    • 2024
    Contributors:

    Summary: This data represents the tile index used for Lidar-derived datasets in La Crosse County, Wisconsin in 2024. The tile index is a file that shows how tiled lidar datasets are labeled and where they are located geographically.

  11. Title: Lidar-Derived Tiled DEM for La Crosse County, WI 2024

    • Raster data
    • 2024
    Contributors:

    Summary: This data represents a Lidar-derived tiled Digital Elevation Model (DEM) for La Crosse County, Wisconsin in 2024. A DEM represents the bare-Earth surface, removing all natural and built features. This dataset contains individual files available for download consisting of smaller tiled geographic areas over the extent of an entire county.

  12. Title: Lidar-Derived Tiled DEM for Portage County, WI 2024

    • Raster data
    • 2024
    Contributors:

    Summary: This data represents a LiDAR-derived tiled Digital Elevation Model (DEM) for Portage County, Wisconsin in 2024. A DEM represents the bare-Earth surface, removing all natural and built features. This dataset contains individual files available for download consisting of smaller tiled geographic areas over the extent of an entire county.

  13. Title: Lidar-Derived Intensity Images for Portage County, WI 2024

    • Raster data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived intensity images for La Crosse County, Wisconsin in 2024. Lidar intensity is recorded as the return strength of a laser beam. It is a bi-product, provided as an integer number between 1-256. This number varies with the composition of the surface object reflecting the laser beam. A low number indicates low reflectivity while a high number indicates high reflectivity. The intensity of the laser beam return can also be affected by the angle of arrival (scan angle), range, surface composition, roughness, and moisture content.

  14. Title: Lidar-Derived Breaklines for Portage County, WI 2024

    • Line data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived breaklines for Portage County, Wisconsin in 2024. Hydro breaklines maintain the definition of water-related features in an elevation model. They are used to capture linear discontinuities in the surface, lake shorelines, single-line drains for small rivers, and double-line drains for large rivers.

  15. Title: Lidar-Derived Classified LAS for Portage County, WI 2024

    • Point data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived classified LAS (LAZ Format) points for Portage County, Wisconsin in 2024. Point classification uses semi-automated techniques on the point cloud to assign the feature type associated with each point. LiDAR points can be classified into a number of categories including bare earth or ground, top of canopy, and water. The different classes are defined using numeric integer codes in the LAS files.

  16. Title: Lidar Tile Index for Portage County, WI 2024

    • Polygon data
    • 2024
    Contributors:

    Summary: This data represents the tile index used for Lidar-derived datasets in Portage County, Wisconsin in 2024. The tile index is a file that shows how tiled lidar datasets are labeled and where they are located geographically.

  17. Title: Lidar-Derived Intensity Images for Taylor County, WI 2024

    • Raster data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived intensity images for Taylor County, Wisconsin in 2024. Lidar intensity is recorded as the return strength of a laser beam. It is a bi-product, provided as an integer number between 1-256. This number varies with the composition of the surface object reflecting the laser beam. A low number indicates low reflectivity while a high number indicates high reflectivity. The intensity of the laser beam return can also be affected by the angle of arrival (scan angle), range, surface composition, roughness, and moisture content.

  18. Title: Lidar-Derived Breaklines for Taylor County, WI 2024

    • Line data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived breaklines for Taylor County, Wisconsin in 2024. Hydro breaklines maintain the definition of water-related features in an elevation model. They are used to capture linear discontinuities in the surface, lake shorelines, single-line drains for small rivers, and double-line drains for large rivers.

  19. Title: Lidar-Derived Classified LAS for Taylor County, WI 2024

    • Point data
    • 2024
    Contributors:

    Summary: This data represents Lidar-derived classified LAS (LAZ Format) points for Taylor County, Wisconsin in 2024. Point classification uses semi-automated techniques on the point cloud to assign the feature type associated with each point. LiDAR points can be classified into a number of categories including bare earth or ground, top of canopy, and water. The different classes are defined using numeric integer codes in the LAS files.

  20. Title: Lidar Tile Index for Taylor County, WI 2024

    • Polygon data
    • 2024
    Contributors:

    Summary: This data represents the tile index used for Lidar-derived datasets in Taylor County, Wisconsin in 2024. The tile index is a file that shows how tiled lidar datasets are labeled and where they are located geographically.

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