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Using UAS-Based Point Clouds to Generate High Resolution Digital Terrain Model for Forestry Research and Applications

Journal Name:

  • European Journal of Forest Engineering

Publication Year:

  • 2016

Key Words:

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Digital Terrain Models (DTMs) as well as Digital Surface Models (DSMs) have been widely used in many forestry applications, especially in locating forest roads, developing transportation planning, and determining the stand parameters. Generally, LiDAR (Light Detection and Ranging) point clouds have been used to generate DTMs, since LiDAR technology is able to provide multiple returns, which is very useful to separate the ground surface and non-ground objects such as trees, buildings etc. However, LiDAR technology generally requires a high cost and this, of course, has a negative effect on the use of LiDAR point clouds. In this study, the DTM of a study area was generated by means of the point cloud ext racted from the aerial images taken from a UAS (Unmanned Aerial System). As the first step, the UAS-based point cloud was filtered to separate the points belong to the ground and non-ground objects. Thereafter, the filtered point cloud was interpolated to obtain the DTM of the study area. Finally, field measurements were conducted by using Real-Time Kinematic GPS (Global Positioning Systems) measurement technique to evaluate the accuracy of the produced DTM. Mult iquadratic CRC, CP and CHTS surfaces were used as Q surfaces. Bi -linear surface was chosen as the trend surface when conducting the Multiquadratic interpolat ion algorithm. Accuracy evaluations revealed that it is possible to generate high-resolution DTMs by using UAS-based point clouds. The results indicated that the CRC and CHTS algorithms provided better results in representing the topography, compared to the CP algorithm.
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