[H-DS11] Geohazards in humid, tectonically active countries and their precursors

[HDS11-05] Detection of landslide movement in the northern Japanese Alps, based on DInSAR and airbone LiDAR analysis

*Ayano Aoki¹, Chiyuki Narama¹, Tsutomu Yamanokuchi², Takeo Tadono³ (1.Niigata university, 2.Remote Sensing Technology Center of Japan, 3.Japan Aerospace Exploration Agency)

Keywords:Landslide, DInSAR, Satellite image , LiDAR

Differential Interferometric SAR (DInSAR) is one of the ways to detect surface changes such as landslides (Japan Forest Agency,2020).
However, DInSAR in mountainous areas can not detect all landslides due to the angle and direction of satellite microwave irradiation. DInSAR has been used in mountainous areas without fully taking into account such problems.
Coherence decline is another problem of DInSAR in mountainous areas. In addition to fast landslide area, coherence decline is caused by surface change due to fallen leaves and snowfall (Mizuno et al.,2014 ; Nishiguchi at al.,2017). Research of DInSAR detectable slope in mountain areas is not sufficient.
In this study, we plotted surface change candidate locations from DInSAR and LiDAR image matching results in the northern Japanese Alps. As a result, they are classified into three types. both DInSAR and LiDAR detected, only DInSAR detected and only LiDAR detected. In this presentation, we investigate feature of DInSAR detectable surface change comparing terrains and movements of three types of surface changes.