日本地球惑星科学連合2016年大会

講演情報

ポスター発表

セッション記号 H (地球人間圏科学) » H-DS 防災地球科学

[H-DS17] 湿潤変動帯の地質災害とその前兆

2016年5月24日(火) 17:15 〜 18:30 ポスター会場 (国際展示場 6ホール)

コンビーナ:*千木良 雅弘(京都大学防災研究所)、小嶋 智(岐阜大学工学部社会基盤工学科)、八木 浩司(山形大学地域教育文化学部)、内田 太郎(国土技術政策総合研究所)

17:15 〜 18:30

[HDS17-P02] 一定垂直倍率立体地形解析図を用いた地すべり地形判読の試み

*佐藤 剛1横山 隆三2土志田 正二3田殿 武雄4白澤 道生2 (1.帝京平成大学環境情報学研究科、2.㈱横山空間情報研究所、3.消防庁消防研究センター、4.宇宙航空研究開発機構)

キーワード:一定垂直倍率立体地形解析図、地形判読、箙岳地すべり

This study introduces the method for interpreting landslide topographies with a constant vertical exaggeration stereoscopic (CVES) map. The map created by using digital elevation model (DEM) data shows 3D images of landforms as an anaglyph. We created two types of CVES maps by using the light detection and ranging (LiDAR) digital terrain model (DTM) and the Advanced Land Observing Satellite (ALOS) World 3D (AW3D) digital surface model (DSM) data (observation data from the Japanese satellite ALOS-Daichi) around Mt. Ebiradake in Northern Japanese Alps. We then compared these maps with a landslide distribution map created using air-photo interpretation. As a result, we could clearly identify scarps, which were formed on the landslide body due to secondary landslide activity and were several meters high on the CVES map created using LiDAR DEM data with 5 m resolution. A number of scarps identified on the CVES map were difficult to interpret using the air-photo technique. The CVES map provides very helpful data for creating high-resolution landslide distribution maps. In contrast, it was difficult to detect those scarps on the CVES map that were created from AW3D DSM data with 5 m resolution. However, we could identify landslides more than 200 m width and scarps more than 10-20 m high on the landslide body. The AW3D data cover the entire world, so the CVES map created by using AW3D DSM is useful for areas where LiDAR data and / or air-photos are unavailable for generating landslide distribution maps.