20230504 10561900 1.0 FGDC CSDGM Metadata FALSE ELEV_2014_contour1ft 798002.476879 842877.495724 361002.490845 405877.496895 1 002 Projected GCS_North_American_1983_HARN Linear Unit: Foot_US (0.304801) NAD_1983_HARN_WISCRS_Fond_du_Lac_County_Feet <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.1'><WKT>PROJCS[&quot;NAD_1983_HARN_WISCRS_Fond_du_Lac_County_Feet&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,802999.999],PARAMETER[&quot;False_Northing&quot;,0.016],PARAMETER[&quot;Central_Meridian&quot;,-88.5],PARAMETER[&quot;Scale_Factor&quot;,1.0000286569],PARAMETER[&quot;Latitude_Of_Origin&quot;,42.71944444444445],UNIT[&quot;Foot_US&quot;,0.3048006096012192],AUTHORITY[&quot;ESRI&quot;,103419]],VERTCS[&quot;NAVD_1988&quot;,VDATUM[&quot;North_American_Vertical_Datum_1988&quot;],PARAMETER[&quot;Vertical_Shift&quot;,0.0],PARAMETER[&quot;Direction&quot;,1.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,5703]]</WKT><XOrigin>-17646100</XOrigin><YOrigin>-48340000</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103419</WKID><LatestWKID>103419</LatestWKID><VCSWKID>5703</VCSWKID><LatestVCSWKID>5703</LatestVCSWKID></ProjectedCoordinateSystem> 20150331 10433900 20150331 10480800 150000000 5000 FGDC ELEV_2014_contour1ft Feature Class 93200 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 4 0 0 Feature geometry. Esri Coordinates defining the features. Id Id Integer 4 10 0 Contour Contour Double 8 38 8 Index10ft Index10ft SmallInteger 2 5 0 Index20ft Index20ft SmallInteger 2 5 0 Index50ft Index50ft SmallInteger 2 5 0 Shape.STLength() Shape.STLength() Double 0 0 0 Karen Kwsanowski GroundPoint Technologies LLC Chief Technical Officer 315-459-1515 17 Highland Dr Marcellus NY 13108 US 20150331 ArcGIS Metadata 1.0 multiple 999-999-9999 Not available Not available Unknown 99999 US withheld Feature Class ELEV_2014_contour1ft 2014-06-23 Karen Kwasnowski document Gene Olig City of Fond du Lac GIS Coordinator 160 S. Macy Street Fond du Lac WI 54935 golig@fdl.wi.gov 920.322.3485 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Lidar Data Products for the Fond du Lac, WI collection area including a 5ft Digital Elevation Model (DEM), tiled 1ft Contours, 5ft slope rasters, 2ft intensity raster, void feature classes for the first return and ground points respectively.</SPAN></P></DIV></DIV></DIV> The lidar dataset was collected to be utilized for the creation of a digital elevation model, slope, tiled 1ft Contours, and an Intensity raster at 2ft cell resolution. Other uses expected. Thom S. Salter Pictometry International Corp. Manager, Photogrammetric Production 585-486-0093 585-486-0098 100 Town Centre Drive, Suite A Rochester NY 14623 US 0900-1700 Geographic Names Index Service Wisconsin EDI Thesaurus LiDAR LiDAR Wisconsin See access and use constraints information. Access to this data is constrained by the license agreements between Pictometry International and Fon Du Lac, WI <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Access to this data is constrained by the license agreements between Pictometry International and Fond du Lac, WI.</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 10.1.1.3143 -112.125088 -111.678816 43.623514 43.78476 Publication Date 2014-01-01 1 -88.518938 -88.348885 43.832948 43.709747 external 4771d62eb474840c26cf28a05d9d175c Gene Olig City of Fond du Lac GIS Coordinator 160 S. Macy Street Fond du Lac WI 54935 golig@fdl.wi.gov 920.322.3485 True Gene Olig Access to this data is constrained by the license agreements between Pictometry International and Fon Du Lac, WI. Visual checks were used to make sure all features and feature classes are complete. Visual checks were used to make sure all features and feature classes are complete. Terrain, DEM, and 1ft Contours: For the Bare Earth Data, the Lidar Point Data was converted to a Multipoint feature class, with a filter for Ground (class 2). Breaklines for waterbodies and wide rivers (> 15ft wide) were digitized using the intensity values of the lidar data as a reference. Elevation values for the water body polygons are added as an attribute to the feature class based on the minimum lidar elevation value along the shoreline of the water body. Elevation values for the wide river polygons are first conflated to a stream centerline feature using a downstream constraint algorithm. The values are taken from the centerline vertices and applied to wide river polygon vertices to ensure that elevation values on opposite stream banks are congruent. The multipoint feature class, water bodies, and wide rivers are used to create a bare earth terrain that is clipped to the project area boundary that was created from the lidar data. The terrain is converted to a DEM with 5ft cell resolution. The DEM is used to create the 1ft tiled contours. The contours are edited in the following manner: Lines shorter than 30ft (1.5 raster cells) are deleted, the lines are smoothed using a PAEK algorithm with a 3m smoothing tolerance. Attributes are added for 10ft, 20ft, and 50ft Index contours. A hillshade of the DEM was created using default ESRI illumination parameters. Degree Slope and Percent Rise Slope rasters were created from the DEM. An intensity raster was created by converting the lidar intensity values to raster with 2ft cell resolution. Void polygons for the first return data was created by converting the first return points to raster with an 8ft cell size. Landcover attributes were added for all first return voids. All first return voids are due to water. Another void polygon feature class was created for the ground points. Ground points were converted to raster with a 10ft cell size. All voids > 0.5 acres were attributed for landcover. 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