Japan Geoscience Union Meeting 2022

Presentation information

[J] Oral

H (Human Geosciences ) » H-GM Geomorphology

[H-GM03] Geomorphology

Mon. May 23, 2022 9:00 AM - 10:30 AM 201B (International Conference Hall, Makuhari Messe)

convener:Hitoshi SAITO(College of Economics, Kanto Gakuin University), convener:Tsuyoshi Hattanji(Faculty of Life and Environmental Sciences, University of Tsukuba), Thomas Parkner(University of Tsukuba, Graduate School of Life and Environmental Sciences), convener:Naoko Nagumo(International Centre for Water Hazard and Risk Management, Public Works Research Institute), Chairperson:Hitoshi SAITO(College of Economics, Kanto Gakuin University), Naoko Nagumo(International Centre for Water Hazard and Risk Management, Public Works Research Institute)


9:00 AM - 9:15 AM

[HGM03-03] Slow mass-movement on periglacial smooth slopes in the Hakuba mountain range

*Eri Fukada1, Chiyuki Narama2 (1.Niigata Univercity, 2.Niigata Univ.)


Keywords:Periglacial smooth slope, RTK-UAV, Point cloud group, Displacement vector trend, Freezing and thawing

1. Introduction
The Hakuba mountain range consists of a series of asymmetrical mountain ridges with gentle slopes on the west and steep slopes on the east. The gentle slope on the west side of the asymmetric mountain ridge is called a periglacial smooth slope (Klaer, 1962). The morphology of the slope, the size and movement of the debris, and the periglacial action causing the movement have been studied (e.g. Alpine Landform Research Group, 1978). However, the measurement of debris movement in previous studies has been limited to a part of periglacial smooth slope, and the formation process of the whole slope has not been discussed from the amount and distribution of debris movement, the mode of debris movement, and the topographic change caused by the movement.
In this study, orthorectified images and point clouds were generated from continuous aerial images acquired in September 2020 and 2021 using a UAV (Phantom4-RTK) equipped with RTK-GNSS, and the amount and spatial distribution of gravel movement and the movement pattern of gravel were investigated by vector analysis, DSM subtraction and image matching analysis. The amount and spatial distribution of debris movement and the style of debris movement were investigated.