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The study area was buffered by 100 meters to ensure complete coverage. While there may be the appearance of data gaps (outside on the known survey gaps), these are limited to areas under buildings or over very still/calm water surface (ponds, pools, etc.) where the bare ground model required greater than 10 meters to build a triangle. In these cases, the models recorded no data. The GRID data are an average value that fits triangles within a specified area (1 m2). By setting distance limits to triangle length, longer interpolations are avoided for areas with low point density where laser pulses are obstructed or absorbed. It is more typical for commercial LiDAR providers to deliver data sets that allow long triangle lengths to prevent any gaps in the resulting GRID data sets. However, such interpolation of the data may provide a false sense that data are continuous throughout the study area, when in fact, they are not. In the final processing we tend to limit triangle to explicitly demonstrate absence of laser return length and thus allow data gaps where data densities are insufficient to adequately characterize surfaces. This method also effectively displays laser return gaps</gco:CharacterString>
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Laser point return coordinates were computed using the REALM software suite based on independent data from the LiDAR system (pulse time, scan angle), IMU (aircraft attitude), and aircraft position (differentially corrected and optimized using the multiple DGPS base stations data) (Optech, 2003a). The inertial measurement data were used to calculate the kinematic corrections for the aircraft trajectories using PosPAC v4.1 (Applanix, 2003a and 2003b). Flight lines and LiDAR data were reviewed to insure complete coverage of the study area and positional accuracy of the laser points.</gco:CharacterString>
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