Full text: Technical Commission VII (B7)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
During autumn, when the deciduous trees are full of leaves, the 
ground points detected from the discrete LIDAR pulses in the 
mixed forest patch were 53139 points (1 pt/11.30 sq.m). 
Whereas, by exploiting the full waveform return pulses, the 
detection of ground point was increased by a little over 50 % to 
80762 points (1pt/7.43sq.m). The accuracy validation test in the 
earlier section has shown that the increase in ground penetration 
due to the full waveform exploitation technique was able to 
increase the vertical accuracy (Accuracy) of the DTM by 30 
cm. 
During winter, when most of the leaves of the deciduous trees 
fall off, the detection of ground penetration increased 
remarkably compared to the detection of ground penetration 
during autumn. The ground points detected by using discrete 
return pulses during winter, in the same patch of the mixed 
forest, were remarkably high at 223938 points (1pt /2.68 sq.m) 
Still, in winter, the full waveform return pulses increased the 
detection of ground points by 20 % at 270142 points (1 pt/ 2.22 
sq. m). However, the accuracy((Accuracy,)) validation test 
shows that the vertical accuracy of the DTM obtained during 
winter from both discrete LiDAR pulses and full waveform 
LiDAR pulses were the same at around 0.40 m. 
Figure 6 shows the DTM of the mixed forest hilly region. The 
DTM constructed from the discrete return pulses obtained 
during autumn was rough at places (red circle). However, by 
using the full waveform return pulses, for the same, 
considerable improvement in the smoothness and accuracy of 
the bare ground model was achieved. 
  
Full waveform return pulses (winter) 
Figure 5. Comparing discrete and full waveform return 
pulses 
  
DTM constructed from discrete LIDAR during autumn 
  
DTM constructed from full waveform LiDAR during winter 
  
Figure 6. DTM of the study area 
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