4,422 results returned
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Title: Lidar-Derived 1-foot Contours for Oconto County, WI 2019
Contributors:- Line data
- 2019
Summary: This data represents Lidar-derived 1-foot contours for Oconto County, Wisconsin in 2019. A contour is a line through all contiguous points of equal elevation value. Contours are vector features used to represent the elevation of a landscape in a relatively familiar way. They are typically used for basemaps and general topographic representation.
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Title: LiDAR-Derived Tiled DEM for Oconto County, WI 2019
Contributors:- Raster data
- 2019
Summary: This data represents a LiDAR-derived tiled Digital Elevation Model (DEM) for Oconto County, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Breaklines for Oconto County, WI 2019
Contributors:- Line data
- 2019
Summary: This data represents LiDAR-derived breaklines for Oconto County, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Classified LAS for Oconto County, WI 2019
Contributors:- Point data
- 2019
Summary: This data represents LiDAR-derived classified LAS points for Oconto County, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Intensity Images for Oconto County, WI 2019
Contributors:- Raster data
- 2019
Summary: This data represents LiDAR-derived intensity images for Oconto County, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Tiled DEM for Sheboygan County, WI 2019
Contributors:- Raster data
- 2019
Summary: This data represents a LiDAR-derived tiled Digital Elevation Model (DEM) for Sheboygan County, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Breaklines for Sheboygan County, WI 2019
Contributors:- Line data
- 2019
Summary: This data represents LiDAR-derived breaklines for Sheboygan County, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Classified LAS for Sheboygan County, WI 2019
Contributors:- Point data
- 2019
Summary: This data represents LiDAR-derived classified LAS points for Sheboygan County, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Intensity Images for Sheboygan County, WI 2019
Contributors:- Raster data
- 2019
Summary: This data represents LiDAR-derived intensity images for Sheboygan County, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Tiled DEM for Barron and Dunn Counties, WI 2019
Contributors:- Raster data
- 2019
Summary: This data represents a LiDAR-derived tiled Digital Elevation Model (DEM) for Barron and Dunn Counties, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Breaklines for Baron and Dunn Counties, WI 2019
Contributors:- Line data
- 2019
Summary: This data represents LiDAR-derived breaklines for Baron and Dunn Counties, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Classified LAS for Barron and Dunn Counties, WI 2019
Contributors:- Point data
- 2019
Summary: This data represents LiDAR-derived classified LAS points for Barron and Dunn Counties, Wisconsin in 2019. 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.
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Title: LiDAR-Derived Intensity Images for Barron and Dunn Counties, WI 2019
Contributors:- Raster data
- 2019
Summary: This data represents LiDAR-derived intensity images for Barron and Dunn Counties, Wisconsin in 2019. 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.
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Title: LiDAR Tile Index for Barron and Dunn Counties, WI 2019
Contributors:- Polygon data
- 2019
Summary: This data represents the tile index used for LiDAR-derived datasets in Barron and Dunn Counties, Wisconsin in 2019. The tile index is a shapefile that shows how tiled lidar datasets are labeled and where they are located geographically.
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Title: LiDAR-Derived Countywide DEM for Marquette County, WI 2018
Contributors:- Raster data
- 2018
Summary: This data represents a LiDAR-derived countywide Digital Elevation Model (DEM) for Marquette County, Wisconsin in 2018. A DEM represents the bare-Earth surface, removing all natural and built features. This dataset contains a single file covering the geographic extent of the entire county.
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Title: LiDAR-Derived Tiled DEM for Marquette County, WI 2018
Contributors:- Raster data
- 2018
Summary: This data represents a LiDAR-derived tiled Digital Elevation Model (DEM) for Marquette County, Wisconsin in 2018. 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.
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Title: LiDAR-Derived Breaklines for Marquette County, WI 2018
Contributors:- Line data
- 2018
Summary: This data represents LiDAR-derived breaklines for Marquette County, Wisconsin in 2018. 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.
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Title: LiDAR-Derived Classified LAS for Marquette County, WI 2018
Contributors:- Point data
- 2018
Summary: This data represents LiDAR-derived classified LAS points for Marquette County, Wisconsin in 2018. 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.
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Title: Flood Zones, Butte County, California, 2011
Contributors:- Polygon data
- 2011
Summary: This polygonal dataset shows flood zones within Butte County, California. The Flood Zones file was given to Butte County GIS Division from Butte County Public Works. File was originally received from Federal Emergency Management Agency (FEMA), but no formal metadata was included. Data was not available from FEMA website for Butte County on latest attempt in January 2012.Under the FLD_ZONE field, one flood designation was called "0.2PCT ANNUAL CHANCE FLOOD HAZARD" Public Works and Development Services stated this flood designation should be called "X (SHADED)" and zones named just "X" should be renamed to "X (Unshaded)". The changes were made to more closely resemble the legend in FEMA's FIRM maps. The original FEMA file given to Public Works can still be found in W:\GIS\GOVERNMENT_AGENCIES\FEDERAL\FEMA\FloodMaps_070810\ called "s_fld_has_ar.shp"
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Title: Q3 flood data, Hawaii
Contributors:- Polygon data
- 1996
Summary: Q3 flood data for Hawaii, 1996. The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMs) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using geographic projection and decimal degree coordinate system. Specifications for the horizontal control of Q3 Flood Data files are consistent with those required for mapping at a scale of 1:24000.