A5008148695- Landslides and related hazards
- Cryospheric studies and observations
- Soil Geostatistics and Mapping
- Geotechnical Engineering and Analysis
- Remote Sensing and LiDAR Applications
- Flood Risk Assessment and Management
- Seismic Waves and Analysis
- Geological Modeling and Analysis
- Hydrology and Watershed Management Studies
- Geography Education and Pedagogy
- Earthquake and Disaster Impact Studies
- Remote Sensing and Land Use
- Seismology and Earthquake Studies
- Geographic Information Systems Studies
- Soil erosion and sediment transport
- 3D Surveying and Cultural Heritage
- Methane Hydrates and Related Phenomena
- earthquake and tectonic studies
- Tree Root and Stability Studies
- Seismic Performance and Analysis
- Advanced Computational Techniques and Applications
- Soil Moisture and Remote Sensing
- Groundwater and Watershed Analysis
- Educational Tools and Methods
- Structural Health Monitoring Techniques
Geospatial Information Authority of Japan
2016-2025
The University of Tokyo
2018
Ehime University
2010
Niigata University
2008
Niigata Institute of Technology
2008
Ministry of Land, Infrastructure, Transport and Tourism
2007
Geographical Institute
1992-2006
Abstract We present an approach based on geomorphometry to predict material properties and characterize site conditions using the V S 30 parameter (time‐averaged shear‐wave velocity a depth of 30 m). Our framework consists automated terrain classification scheme taxonomic criteria (slope gradient, local convexity, surface texture) that systematically identifies 16 types from 1‐km spatial resolution (30 arcsec) Shuttle Radar Topography Mission digital elevation models (SRTMDEMs). Using 853...
Polygon-based terrain classification data were created globally using 280 m digital elevation models (DEMs) interpolated from the multi-error-removed improved-terrain DEM (MERIT DEM). First, area segmentation was performed with logarithmic value of slope gradient and local convexity calculated DEM. Next, by adding surface texture, k-means clustering polygons grouped into 40 clusters. Then, we tried to reclassify these clusters geomorphologic groups. In this study, attempted reclassification...
Abstract. Nishinoshima volcano in Ogasawara Islands has erupted since November, 2013. This volcanic eruption formed and enlarged a new island, fused the island with old Island. We performed automated aerial photographing using an Unmanned Aerial Vehicle (UAV) over joined Island on March 22 July 4, 2014. produced ortho-mosaic photos digital elevation model (DEM) data by photogrammetry software computer vision technique, i.e. Structure from Motion (SfM) for estimating photographic position of...
Geographic information on soil organic carbon (SOC) is important for climate change research and understanding the global cycle. At present, this limited forest soils in mountainous regions that have complex topographies are affected by tephra deposition. This study predicted SOC concentration (OC), bulk density (BD), apparent rock coarse fraction (CF), stock (OCS) at 0–5, 5–15, 15–30 cm horizon forested areas (ca. 230 000 km2) of Japan. was carried out with a 10 m grid resolution using...
Abstract Global terrain classification data have been used for various issues related to topography such as the estimation of soil types and ground vulnerability earthquakes creation seismic hazard maps. However, due resolution digital elevation models (DEMs), from previous studies could not discriminate small landforms plains at bottom narrow valleys rises in plains. Owing greater regional variation landforms, there is trade-off between DEMs higher global geomorphological legends. To...
Abstract This study aims to create a terrain classification of Japan that allows both geomorphological and geoengineering classifications coexist without large contradictions distinguish landform elements even in urban plains which include noise associated with digital elevation models (DEMs). Because is susceptible natural disasters, we designed the reflect ground vulnerability alluvial mountains through application data landslide susceptibility seismic zoning. We updated an existing...
This study aimed to map and analyze the spatial pattern of surface deformation associated with 2024 Noto Peninsula earthquake (Mw7.5) using structure-from-motion/multi-view-stereo (SfM–MVS), an advanced photogrammetric technique. The analysis was conducted digital aerial photographs a ground pixel dimension 0.2 m (captured day after earthquake). Horizontal locations GCPs were determined pre-earthquake data remove wide-area horizontal crustal component. elevations corrected by incorporating...
Thailand is not known to be an earthquake-prone country; however, in 2014, unexpected moderate earthquake caused severe damage infrastructure and resulted public panic. This event caught attention raised awareness of national seismic disaster management. However, the expertise primary data required for implementation management are insufficient, including on soil character which used amplification analyses further ground motion prediction evaluations. Therefore, this study, characterization...
ABSTRACT The time-averaged shear-wave velocity in the upper 30 m depth from ground surface, or VS30, is often used as a predictor to describe local site effects ground-motion models. Although VS30 typically determined situ measurements, it not always feasible obtain such measurements due project restrictions accessibility. This motivates development and use of proxy-based predictions that leverage more readily available secondary information surface geology, topographic slope, geomorphic...
2004年 (平成16年) 7月の新潟豪雨および10月の新潟県中越地震によって, 傾斜5度以上の丘陵地・山地に相当する中新世~更新世堆積岩類の斜面で起きた崩壊について, 25mグリッドのレベルで, 傾斜, 雨量, 最大加速度, 地質, 曲率, 地質構造, 斜面方位のGISデータを用いて判別分析を行った。判別分析によって, 各パラメータの崩壊に対する寄与を評価した。その結果, 傾斜は重要なファクターであるが, 豪雨による斜面崩壊では, 傾斜以上に日雨量の寄与が大きいこと, 西山階泥岩優勢タービダイト層と魚沼層では豪雨と地震に於ける崩れやすさが異なっていたこと, 曲率の寄与は豪雨で大きいこと, 地質と地質構造の寄与は地震で起きた大崩壊の場合大きいこと, 斜面方位の寄与には地域差があることなどが分かった。
Abstract. The purpose of this research is to give children a geographical viewpoint, and encourage an interest in, awareness of, landforms geology. We created system based on exploration type computer game verified the educational effects. Moreover, we aim reach not only virtual aspect but also have goal creating in actual field. As secondary effect, by using that attracts children’s interest, make experience solving issues subjective active even if player passive child, child with little...
新潟県出雲崎地域の1961年8月豪雨と2004年7月豪雨による豪雨の崩壊地の空間分布について, 高解像度のオルソ画像と2mDEMを用いて再検討した。その結果, 次の事が明らかになった。1961年豪雨の崩壊箇所の方が倍以上多かった。2004年崩壊は道路法面周辺の崩壊の比率が高かった (1961年豪雨4. 2%に対して16. 4%) 。2004年崩壊地の半分以上 (箇所数で70%, 面積率で54%) は, 同じ谷壁斜面に1961年崩壊がない新規の崩壊であった。新規の崩壊は, 同じ岩相内で地形条件が同じなら, 斜面内部の受け盤・流れ盤等の構造に関わらず, ランダムに発生する傾向があると推測された。1961年の崩壊地が拡大する形で崩壊した場合, 大部分は斜面上方の崩壊であった。西山層を除き, 拡大型の崩壊には柾目盤が目立つ傾向があった。
2004年7月13日に新潟県中越地域では強い前線の活動による集中豪雨が発生した。その雨量は24時間で400mmに達し, 堤防の破堤による河川氾濫をもたらし, アジア航測による空中写真判読では3, 359箇所以上の崩壊も発生させた。写真判読と現地調査により二つのタイプの崩壊が確認された。つまり, ひとつは表層崩壊であり, 2つは深層崩壊で, 後者は特に泥流をともなうものであった。本研究ノートでは, 出雲崎地域に焦点をあてて議論する。なぜなら, この地域は2004年7月豪雨による代表的な崩壊発生地域のひとつであることと, 1961年8月と1976年, 1978年にも豪雨崩壊が発生したためである。そこで, 筆者らは, 出雲崎地域の空中写真の1962年撮影 (1961年豪雨の1年後) , 1982年撮影 (1976-1978年豪雨崩壊を含む) および2004年撮影 (7月豪雨直後) のそれぞれを判読し, GISを使用して, それぞれの年代の崩壊の分布を比較し, その分布と地形や地質との関連を検討した。