Results 51 to 60 of about 394 (161)
Flood Inundation Modeling Using the Surface Water Ocean Topography Mission
Abstract Flood risk mapping requires detailed river bathymetry, yet these data are unavailable for most rivers. We propose a new algorithm to estimate river bathymetry from multitemporal observations of water height by the Surface Water and Ocean Topography (SWOT) mission.
Jeffrey C. Neal +7 more
wiley +1 more source
Accurate bathymetric information is an important foundation for marine resource development and nearshore ecological protection. Existing empirical algorithms can estimate water depth from high resolution images with the aid of ground truth bathymetry ...
Xiaohan Zhang +3 more
doaj +1 more source
Abstract Accurate three‐dimensional (3D) lake bathymetry reconstruction is critical for water resources assessment and hydrological modeling yet remains constrained by data scarcity and oversimplified geometric assumptions. To address these challenges, we propose the Geomorphologically informed deep learning (GIDL) framework for high‐resolution 3D lake
Minglei Hou +7 more
wiley +1 more source
A Review of Image- and LiDAR-Based Mapping of Shallow Water Scenarios
There is a growing need for accurate bathymetric mapping in many water-related scientific disciplines. Accurate and up-to-date data are essential for both shallow and deep areas. In this article, methods and techniques for shallow water mapping have been
Paulina Kujawa, Fabio Remondino
doaj +1 more source
Laser bathymetry on rough riverbed channels: State‐of‐the‐art and future prospects
This literature review found that topo‐bathymetric LiDAR has been successfully used to capture the structures of rough riverbeds and detect large boulders. While all of the studies that were reviewed used sensors that were operated from fixed‐wing aircraft, few studies have yet tested UAV‐borne sensors on rough riverbeds, despite the potential offered ...
Theresa M. Himmelsbach +4 more
wiley +1 more source
Accurate coastal bathymetry is critical for navigation, environmental monitoring, and marine resource management. This study presents a deep learning-based approach that fuses Sentinel-2 multispectral imagery with airborne hyperspectral-derived reference
Seung-Jun Lee +3 more
doaj +1 more source
The impact of sea state condition on airborne lidar bathymetry measurements
Due to a large number of available Airborne Lidar Bathymetry (ALB) survey datasets and scheduled future surveys, there is a growing need from coastal mapping communities to estimate the accuracy of ALB as a function of the survey system and environmental conditions.
Karlsson, Torbjorn +2 more
openaire +3 more sources
Observations of coastal cliff landslide runout in southern California from 21 years of data
Runout distance from coastal cliff landslides along the coast of northern San Diego County, California USA between 2001 and 2023 were mapped and quantified. Results indicated cliff height influenced runout distance, and that 98% of maximum runout distances were less than half the cliff height.
Catriona F. Thompson, Adam P. Young
wiley +1 more source
3D definition of the river bankfull stage from topographic LiDAR
A 3D definition of river bankfull stage based on hydraulic depth derived from high‐density topographic LiDAR is proposed and implemented through the Bf3D framework, applied at the reach scale across 28 French rivers. Extending analysis beyond individual cross‐sections opens new opportunities for large‐scale, automated hydromorphological monitoring ...
Alexandre Retat +6 more
wiley +1 more source
An Overview of Tsunami Hazards in the Southwest Pacific Ocean
The southwest Pacific region is geologically complex and exhibits all the principal causes of tsunami generation. While contemporary events and historical catalogs indicate that trans‐Pacific tsunamis have affected this area (∼18% of tsunamis reported globally), it is unique in that a large part of the tsunami effects over the ∼200‐year historical ...
Jean H. M. Roger +13 more
wiley +1 more source

