Survey on grain roughness in a mountain river by using airborne LiDAR point cloud data

Xiangxu JIANG; Takeshi SHIMIZU; Naoki FUJIMURA; Tadanori ISHIZUKA

Presentation information

International Session (Oral)

Symbol H (Human Geosciences) » H-TT Technology & Techniques

[H-TT09] GIS

Mon. May 25, 2015 2:15 PM - 4:00 PM 101A (1F)

Convener:*Takashi Oguchi(Center for Spatial Information Science, The University of Tokyo), Yuji Murayama(Graduate School of Life and Environmental Sciences), Ryosuke Shibasaki(Center for Spatial Information Science, the University of Tokyo), Shin Yoshikawa(Faculty of Engineering, Osaka Institute of Technology), Chair:Yuji Murayama(Graduate School of Life and Environmental Sciences), Takashi Oguchi(Center for Spatial Information Science, The University of Tokyo)

2:48 PM - 2:51 PM

★ [HTT09-P02] Survey on grain roughness in a mountain river by using airborne LiDAR point cloud data

3-min talk in an oral session

Xiangxu JIANG¹, *Takeshi SHIMIZU¹, Naoki FUJIMURA¹, Tadanori ISHIZUKA¹ (1.Public Works Research Institute)

Keywords:mountain river, grain roughness, airborne LiDAR

Small-scale topographic features are commonly found on a mountain river. One of the important features is grain roughness for affecting the water flow or debris flow resistance of the mountain channel. One of the difficulties is to measure grain roughness in a mountain river because a lot of grains and rocks are larger than a few meter diameter.
In this study, we use a point-cloud data earned by airborne LiDAR to calculate simple statistical indexes of the roughness in the lattice bins covered with the objective region of the mountain river. The results comparative with the in-situ grain size distribution earned by the grid count method show relatively good relationship.