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F)I <br /> information will permit Al to better develop a stable rock slope face,as well as monitor the <br /> existing design over time. <br /> The point cloud data provided by the previous LiDAR imagery was used to identify joint sets within <br /> the rock as well as noted wedge failure zones and potential rockfall areas. Measurements <br /> collected from the imagery for joint set orientations was incorporated into the kinematic analyses <br /> to determine potential failure methods. With the change to photogrammetry and the associated <br /> denser point clouds,the resulting higher resolution meshes will provide more representative, <br /> accurate data to identify those features and improve analysis. Additionally, our point cloud <br /> software has the capability to compare point cloud data from one survey event to another in <br /> order to interpret changes. This tool allows us to identify changes including rockfall events or <br /> stability failures,to better develop the stability analyses and bench configurations. <br /> The attached imagery compares the density of the point clouds and imagery for standard LiDAR <br /> and Photogrammetry in relation to rock slope applications. Note the amount of low density areas <br /> in the LiDAR images, suggesting lack of detailed information. Comparatively,the sharpness, high- <br /> resolution quality of the Photogrammetric images provides substantially more detail, allowing for <br /> remote mapping of inaccessible portions of the rock face, as well at the ability to confirm field <br /> measurements. <br /> Please contact me at 717.615.7898 or David.Crotsley@hdrinc.com if you have any comments or <br /> questions. <br /> Sincerely, <br /> HDR Engineering <br /> David S. Crotsley, PG <br /> Senior Geologist <br /> Enclosures <br />