Japan Geoscience Union Meeting 2016

Presentation information

International Session (Poster)

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

[H-TT08] Geoscientific applications of high-definition topography and geophysical measurements

Sun. May 22, 2016 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall HALL6)

Convener:*Yuichi S. Hayakawa(Center for Spatial Information Science, The University of Tokyo), Hiroshi, P. Sato(College of Humanities and Sciences, Nihon University), Shoichiro Uchiyama(National Research Institute for Earth Science and Disaster Prevention), Shigekazu Kusumoto(Graduate School of Science and Engineering for Research, University of Toyama), Thad Wasklewicz(East Carolina University), Daniele Giordan(National Research Council, Rome), Hiroyuki Obanawa(Center for Environmental Remote Sensing, Chiba University)

5:15 PM - 6:30 PM

[HTT08-P04] Measurment of snow distribution using small UAV

*Hiroyuki Obanawa1, Katsuhisa Kawashima2, Hirokazu Ohmae3 (1.School of Engineering, The University of Tokyo, 2.Research Institute for Natural Hazards & Disaster Recovery, Niigata University, 3.Sentencia Corporation)

Keywords:UAV, SfM, snow distribution

Recently aerial photography using small UAV (Unmanned Aerial Vehicle) carrying a compact camera and SfM (Structure from Motion) technique has been carried out in many areas. As one of the advantages of the small-multicopter survey it can closely shoot and measure the mountain slope where the existing manned airplane cannot survey enough because its flight height is relatively high and so it cannot come close to the object. In addition, because running cost of the small UAV survey is far less and its operation is relatively easy, repetitive measurements are easier than the existing methods such as aerial photogrammetry and laser scanning with a manned airplane. We have carried out the topographic measurements using the above advantages at snow covered area in Niigata Prefecture, Japan. By the repetitive UAV measurements we have constructed the multi-temporal 3D models of the surfaces of the ground and snow field and could quantitatively clarify the snow distribution with higher spatial and temporal resolutions. The snow-depth values estimated by the UAV surveys corresponded reasonably well with the actual data measured by snow probe. The UAV-SfM technique has a great potential for a wide range of application, because of its high data accuracy, low initial and operational costs, allowing high spatial and temporal data recording.