A5025853333- Landslides and related hazards
- Geotechnical Engineering and Analysis
- Remote Sensing in Agriculture
- Earthquake and Disaster Impact Studies
- Cryospheric studies and observations
- Remote Sensing and LiDAR Applications
- Flood Risk Assessment and Management
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Fire effects on ecosystems
- Disaster Management and Resilience
- Urban Heat Island Mitigation
- Seismology and Earthquake Studies
- Tree Root and Stability Studies
- Rock Mechanics and Modeling
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Urban Green Space and Health
- Dam Engineering and Safety
- Tropical and Extratropical Cyclones Research
- Urban and spatial planning
- Seismic Waves and Analysis
- Geophysical Methods and Applications
- Satellite Image Processing and Photogrammetry
- Hydrology and Watershed Management Studies
- Impact of Light on Environment and Health
Kagawa University
2013-2024
JTEKT (Japan)
2014
Mie University
2002-2003
Landslide hazard assessment is a primary tool to understand the basic characteristics of slopes that are prone landslides, especially during extreme rainfall. In this study, weights-of-evidence modelling bivariate statistical method, and logistic regression model, multivariate were used for landslide mapping in two catchments Siwaliks Nepal Himalaya. Two typical catchments, Charnath Jalad easternNepal, selected mapping. Both approaches applied by considering 10 intrinsic factors one...
In Nepal, people live in widely spread settlements the fragile Himalayan terrains, and suffer more from landslides than any other type of natural disaster. The small-scale rainfall-triggered Lesser Himalaya Nepal are generally shallow (about 0.5 to 2.5 m) triggered by changes physical property soil layers during rainfall. relation between slope hydrology has received little attention landslide research. Thus, this paper deals with probability failure extreme rainfall events considering a...
Understanding the spatial structure of a city is essential for formulating strategy that city. In this study, we propose method analyzing functional cities based on satellite remote sensing data. method, first assume urban functions consist residential and central functions, these are measured by trip attraction purpose. Next, develop model to explain using data, estimate grid basis. Using estimated attraction, created contour tree identify extent hierarchical As result applying Tokyo...
Damage caused by weather events has increased dramatically across the world in recent years. In case of Japan, record-breaking rainfall devastating damage almost every year since 2014; many people have been killed these disasters. To better prepare for future heavy rainfalls, we need to discover how disasters and mitigate learning from examples resilient communities. 2017, torrential rains hit Toho Village northern Kyushu, as a whole responded well avoid disastrous outcomes. We studied...
Abstract. Himawari-8/AHI is a new geostationary sensor that can observe the land surface with high temporal frequency. Bidirectional reflectance derived by Advanced Himawari Imager (AHI) includes information regarding properties such as albedo, vegetation condition, and forest structure. This be extracted modeling bidirectional using distribution function (BRDF). In this study, kernel-driven BRDF model was applied to red near infrared observed over 8 hours during daytime express intraday...
This study proposed a method to improve the geometric accuracy of Advanced Himawari Imager (AHI), an instrument on board recently launched Himawari-8 spacecraft, focusing data set over Japan acquired in regional acquisition mode. The AHI scanning mechanism consists four west-east horizontal sweeps, and derived sub-images are combined into single dataset. gives rise variations among sub-images. These were quantified by analyzing band-3 images, which has highest spatial resolution (0.5km)...
Large-scale land cover information is a crucial input in numerical climatic change modelling. Traditionally, this encoded as vegetation maps based on ground surveys made at selected points, and of poor resolution. Nowadays, improvements mapping/monitoring are obtained by using the Normalized Difference Vegetation Index (NDVI) calculated from NOAA Advanced Very High Resolution Radiometer (AVHRR) satellite sensor data. In paper, Digital Model (DVM) was derived an attempt to get accurate...
The 2011 off the Pacific coast of Tohoku Earthquake caused widespread serious damage. Particularly a huge amount disaster wastes was generated along coastline areas region by tsunami during Earthquake. It is very important to estimate as for quick recover and revival damaged in advance. Since height Shikoku next Tounankai-Nankai will be larger than Earthquake, it can anticipated easily that an districts large also.In this paper, described some factors Tsunami And cleared there good...
流域スケールにおける斜面崩壊の潜在的危険度を評価することを目的として，谷密度のみを変数とする簡便な評価手法を提案し，その有効性，適用性を検討した．国土地理院発行2万5千分の1地形図及び10mDEMを用いた地形解析から谷線を抽出し，谷密度を算出した．谷線はコンターの平均曲率（H）から求め，H＞0.1を閾値とすることで，谷地形としての再現性が高くなることを確認した．表層崩壊，土石流を主とする既往土砂災害を対象として，災害発生斜面の流域の谷密度と比較した結果，谷密度が高い流域ほど豪雨時に不安定となり崩壊が発生しやすい場所が多く存在すること，また，谷頭付近を発生源とする崩壊が多いなどの傾向が認められた．谷密度と崩壊頻度との関係は，0.5～1.5km2程度の流域において比較的良い相関（r＝0.60～0.66）を示した．このことから，対象とする解析領域の大きさを考慮することで，本手法は表層崩壊や土石流といった斜面崩壊の危険度評価に有効な手法となり得ると考えられる．今後さらに既往災害事例との比較を重ね，また，地形地質的素因が谷密度に与える影響を考慮するなどで，様々な崩壊タイプに対する本手法の汎...