Japan Geoscience Union Meeting 2018

Session information

[EE] Poster

M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques

[M-TT35] HIGH-DEFINITION TOPOGRAPHY AND GEOPHYSICAL DATA ANALYSIS

Sun. May 20, 2018 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Yuichi S. Hayakawa(Center for Spatial Information Science, The University of Tokyo), Christopher A Gomez (Kobe University Faculty of Maritime Sciences Volcanic Risk at Sea Research Group), Shigekazu Kusumoto(富山大学大学院理工学研究部(理学))

High-definition, or high-resolution data of earth surface topography and geophysical properties have become widely available for better understandings of the earth surface processes and dynamics. Here in this session, we accept discussions on high-definition topographic and geophysical data, including its theory, acquisition, archiving, processing, modeling and analysis. The approaches may include applications of, but not limited to, laser scanning, SfM-MVS photogrammetry, GNSS positioning, SAR interferometry, multi-beam sonar, geomagnetics and electromagnetics sensors based on terrestrial (fixed or mobile) and aerial (UAV or manned airborne) platforms.

*Yasutaka Haneda1, Takashi Oguchi2, Yuichi S. Hayakawa2, Hitoshi SAITO3, Shoichiro Uchiyama4 (1.Graduate School of Frontier Science, The University of Tokyo, 2.Center for Spatial Information Science, The University of Tokyo, 3.College of Economics, Kanto Gakuin University, 4.National Research Institute for Earth Science and Disaster Prevention)

*Hironobu Kan1, Chiaki Katagiri2, Yumiko Nakanishi3, Shin Yoshizaki4, Masayuki Nagao5, Rintaro Ono6 (1.Graduate School of Integrated Sciences for Global Society, Kyushu University, 2.Okinawa Prefectural Archaeological Center, 3.Osaka Prefectural Board of Education, 4.Kyoto City Archaeological Research Institute, 5.Research Institute of Geology and Geoinformation, AIST, 6.School of Marine Science and Technology, Tokai University)

×

Authentication

Abstract password authentication.
Password is required to view the abstract. Please enter a password to authenticate.

×

Please log in with your participant account.
» Participant Log In