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<abstract>Lidar Data Products for the Milwaukee, WI collection area. ESRI Multipoints and Terrain for the Bare Earth lidar points, Hydro and Transportation Breaklines, 5ft DEM, 1ft Contours tiled to manage file size, Voids &gt;= 10 sq meters, Percent Slope, Degree Slope, 5ft Digital Surface Model (DSM), 5ft nDSM (Height Above Ground raster), Tiled Intensity Rasters.</abstract>
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<accconst>REQUIRED: Restrictions and legal prerequisites for accessing the data set.</accconst>
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<cntper>Thom Salter</cntper>
<cntorg>Pictometry International Corp</cntorg>
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<cntpos>Senior Photogrammetric Engineer</cntpos>
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<addrtype>mailing and physical address</addrtype>
<address>100 Town Centre Drive, Suite A</address>
<city>Rochester</city>
<state>NY</state>
<postal>14623</postal>
<country>US</country>
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<cntvoice>585.486.0093</cntvoice>
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<idPurp>2010 DEM Slope Degree Lidar Data Products for the Milwaukee, WI collection area. ESRI Multipoints and Terrain for the Bare Earth lidar points, Hydro and Transportation Breaklines,...</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;Lidar Data Products for the Milwaukee, WI collection area. ESRI Multipoints and Terrain for the Bare Earth lidar points, Hydro and Transportation Breaklines, 5ft DEM, 1ft Contours tiled to manage file size, Voids &amp;gt;= 10 sq meters, Percent Slope, Degree Slope, 5ft Digital Surface Model (DSM), 5ft nDSM (Height Above Ground raster), Tiled Intensity Rasters.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
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<cntper>Karen Kwasnowski</cntper>
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<procdesc>Terrain, DEM, Slope, and 1ft Contours:For the Bare Earth Data, the Lidar Data was converted to a Multipoint feature class, with a filter for Ground (class 2). Breaklines were created from the Milwaukee planimetric data that was provided by the customer for hydrographic and transportation features. All hydrographic features, including water bodies and streams, and transportation features (including edge of road and road centerline) were exported from the planimetric data and elevation values from the lidar data were conflated to the “z-values” of the features. The original z-values of the planimetric data were checked to see if they matched the lidar data and in all spot checks the elevation values did not match close enough to be used as breakline values for the lidar products. Elevation values were conflated to the transportation lines at 10ft intervals from the lidar data using QCoherent’s LP360 software. Elevation values were conflated to the Single Line Stream Breaklines at 10ft intervals with an downstream constraint algorithm. After the single line streams were conflated, a script was used to copy the elevation values from the single line streams to the surrounding double line stream polygons. Elevation values for the water body polygons were added as an attribute to the feature class based on the minimum lidar elevation value along the shoreline of the water body. The multipoint feature class, water bodies, hydrolines, and transportation lines were used to create a bare earth terrain for the collection area. The terrain was converted to a DEM with 5ft cell resolution. Percent Slope and Degree Slope were created from the DEM. The DEM was smoothed using a 3x3 rectangular focalmean algorithm to create the 1ft tiled contours. The contours were edited in the following manner: Lines shorter than 30 ft were deleted, looped contour lines in water ways were deleted, the shape of contour lines along the edge of water ways were edited where the lines wove more than half way across the waterway, contour lines in water bodies were checked and deleted if loops occured within the water. Attributes were also added for 2ft, 10ft, 20ft, and 50ft Index contours. A Lidar Tile Index Feature Class was also created for the original lidar files.Voids: FEMA defines data voids as areas that are not within two times the DEM posting of data points, which equates to 10m for the 2ft contour interval accuracy standard. Data voids are acceptable over bodies of water or where points have been removed over man-made structures. Data voids are not acceptable with LiDAR system malfunction or flight error. Data voids need to be flagged in areas where LiDAR points have been removed due to dense vegetation. If the data voids in areas of dense vegetation are less than 1 acre then the voids may usually be filled by interpolation. If the data voids are greater than 1 acre then cross sections must be cut to fill the void areas. The Bare Earth Multipoint feature class was converted to raster with a 30ft cell size. The raster was reclassified as NoData: 1 and Any_Value: NoData. The reclassified raster was converted to polygon. Polygons &lt; 1076 sq feet were deleted. Attributes were added for ‘Acreage” and “LandCover”. No voids were found to be due to vegetation removal. Digital Surface Model (DSM): For the DSM, the Lidar Point Data was exported to multipoint format, with a filter for 1st return data only, and a maximum elevation of 300 ft higher than the highest ground point. The multipoints were used to create a 1st return terrain, which was then exported to a 1st surface DSM with 5ft cell resolution. A Hillshade was created using default illumination parameters in ESRI software. The Bare Earth DEM was subtracted from the DSM (making sure the cells aligned properly with one another) to produce a normalized DSM (nDSM), which is a raster comprised of heights above ground. Intensity Rasters: The Intensity Rasters of the All Points data were created with a 2ft cell size, which was determined to be the average post spacing of the point cloud. Again LP360 software was used for this procedure with every effort made to interpolate across voids.</procdesc>
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<procdate>November 2010</procdate>
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