Spatial prediction of fluvial flood in high-frequency tropical cyclone area using TensorFlow 1D-convolution neural networks and geospatial data
Fluvial floods endure as one of the most catastrophic weather-induced disasters worldwide,
leading to numerous fatalities each year and significantly impacting socio-economic …
leading to numerous fatalities each year and significantly impacting socio-economic …
UAV-based DEM augmentation using ConSinGAN for efficient flood parameter prediction with machine learning and 1D hydrodynamic models
Flooding disasters have a significant financial impact on metropolitan regions, highlighting
the critical need for accurate flood prediction methods. This study addresses the problem of …
the critical need for accurate flood prediction methods. This study addresses the problem of …
Assessing the next generation of Global Flood Models in the Central Highlands of Vietnam
Flooding is an endemic global challenge with annual damages totalling billions of dollars.
Impacts are felt most acutely in in low and middle-income countries, where rapid …
Impacts are felt most acutely in in low and middle-income countries, where rapid …
[HTML][HTML] Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central …
Flooding is an endemic global challenge with annual damages totalling billions of dollars.
Impacts are felt most acutely in low-and middle-income countries, where rapid demographic …
Impacts are felt most acutely in low-and middle-income countries, where rapid demographic …
[HTML][HTML] Combining earth observations with ground data to assess river topography and morphologic change: Case study of the lower Jamuna River
N Valsangkar, A Nelson, MF Hasan - International Journal of Applied Earth …, 2024 - Elsevier
The Jamuna is a major braided river of Bangladesh and poses enormous challenges related
to flooding, erosion, and sedimentation. Effective river management requires an …
to flooding, erosion, and sedimentation. Effective river management requires an …
[HTML][HTML] Combining UAS LiDAR, Sonar, and Radar Altimetry for River Hydraulic Characterization
M Coppo Frias, AR Vesterhauge, DH Olesen, F Bandini… - Drones, 2025 - mdpi.com
Accurate river hydraulic characterization is fundamental to assess flood risk, parametrize
flood forecasting models, and develop river maintenance workflows. River hydraulic …
flood forecasting models, and develop river maintenance workflows. River hydraulic …
Mapping the Flood Vulnerability of Residential Structures: Cases from The Netherlands, Puerto Rico, and the United States
Floods are consistently ranked as the most financially devastating natural disasters
worldwide. Recent flood events in the Netherlands, Caribbean, and US have drawn …
worldwide. Recent flood events in the Netherlands, Caribbean, and US have drawn …
[PDF][PDF] Multi-Aspect Critical Assessment of Applying Digital Elevation Models in Environmental Hazard Mapping
Digital elevation models (DEMs) are essential tools in environmental science, particularly for
hazard assessments and landscape analyses. However, their application across multiple …
hazard assessments and landscape analyses. However, their application across multiple …
Landslide Vulnerability in the Sangu-Matamuhuri River Basin of Southeast Bangladesh
Abstract The Hill Tracts of Bangladesh experienced several landslides in recent years. The
vulnerability to landslides is a major concern because of rising climatic and man-made …
vulnerability to landslides is a major concern because of rising climatic and man-made …
Development of methodology for calculating flooded area and flood volume in small urban areas based on unmanned aerial vehicle images
HJ Woo, DM Seo, MS Kim, HK Lee, H Seo… - Available at SSRN …, 2024 - papers.ssrn.com
Climate change has intensified flooding and increased the occurrence of localized torrential
rainfalls, resulting in various disasters such as landslides, infrastructure collapse, and urban …
rainfalls, resulting in various disasters such as landslides, infrastructure collapse, and urban …