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5 May 2016 Addressing lidar overlap for diameter at breast height estimation using a point-cloud processing software
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LiDAR Overlap is the area that is common to two or more flight lines. This is essential to ensure the continuity of data as the acquisition moves from one flight line to another. Looking into overlaps is important when doing DBH Estimation using point cloud data because it doubles the density of points in the overlap region. To remove this effect when determining the DBH of a forest area, the LiDAR data was processed using a point-cloud processing software. The processes include separating flight lines using the GPS time when the points were acquired. After separating, the number of points in the overlap region were decreased by removing excess points within the area of twice the point spacing. The parameters needed for DBH estimation were then obtained. The absolute number of points in the whole overlap area was originally 4,960,726 after decreasing the number of points, it was reduced to 1,479,884. The number of points would have an effect on DBH estimation because the values obtained were significantly different at 95% level of confidence.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gio P. Zaragosa, Enrico C. Paringit, Carlyn Ann G. Ibañez, Regine Anne G. Faelga, Reginald Jay L. Argamosa, Mark Anthony V. Posilero, Fe Andrea M. Tandoc, and Matthew V. Malabanan "Addressing lidar overlap for diameter at breast height estimation using a point-cloud processing software", Proc. SPIE 9879, Lidar Remote Sensing for Environmental Monitoring XV, 98791D (5 May 2016);

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