Related references
Note: Only part of the references are listed.Deep learning technique for fast inference of large-scale riverine bathymetry
Hojat Ghorbanidehno et al.
ADVANCES IN WATER RESOURCES (2021)
Comparison of Fast Shallow-Water Schemes on Real-World Floods
Zsolt Horvath et al.
JOURNAL OF HYDRAULIC ENGINEERING (2020)
High-resolution bathymetry by deep-learning-based image superresolution
Motoharu Sonogashira et al.
PLOS ONE (2020)
Bathymetric Inversion and Uncertainty Estimation from Synthetic Surf-Zone Imagery with Machine Learning
Adam M. Collins et al.
REMOTE SENSING (2020)
Recent developments in fast and scalable inverse modeling and data assimilation methods in hydrology
Hojat Ghorbanidehno et al.
JOURNAL OF HYDROLOGY (2020)
Water quality prediction based on recurrent neural network and improved evidence theory: a case study of Qiantang River, China
Lei Li et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2019)
Improved Bathymetric Mapping of Coastal and Lake Environments Using Sentinel-2 and Landsat-8 Images
Ali P. Yunus et al.
SENSORS (2019)
DepthLearn: Learning to Correct the Refraction on Point Clouds Derived from Aerial Imagery for Accurate Dense Shallow Water Bathymetry Based on SVMs-Fusion with LiDAR Point Clouds
Panagiotis Agrafiotis et al.
REMOTE SENSING (2019)
Comparison of learning-based wastewater flow prediction methodologies for smart sewer management
Hazhar Sufi Karimi et al.
JOURNAL OF HYDROLOGY (2019)
Bathymetry retrieval from optical images with spatially distributed support vector machines
Lei Wang et al.
GISCIENCE & REMOTE SENSING (2019)
Exact Solutions to Shallow Water Equations for a Water Oscillation Problem in an Idealized Basin and Their Use in Verifying Some Numerical Algorithms
N. A. Matskevich et al.
NUMERICAL ANALYSIS AND APPLICATIONS (2019)
Shallow water bathymetry mapping using Support Vector Machine (SVM) technique and multispectral imagery
Ankita Misra et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)
Deep learning decision fusion for the classification of urban remote sensing data
Ghasem Abdi et al.
JOURNAL OF APPLIED REMOTE SENSING (2018)
Non-intrusive reduced order modeling of nonlinear problems using neural networks
J. S. Hesthaven et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2018)
Riverine Bathymetry Imaging With Indirect Observations
Jonghyun Lee et al.
WATER RESOURCES RESEARCH (2018)
Estimating Satellite-Derived Bathymetry (SDB) with the Google Earth Engine and Sentinel-2
Dimosthenis Traganos et al.
REMOTE SENSING (2018)
Rainfall-runoff modelling using Long Short-Term Memory (LSTM) networks
Frederik Kratzert et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2018)
An efficient and stable hydrodynamic model with novel source term discretization schemes for overland flow and flood simulations
Xilin Xia et al.
WATER RESOURCES RESEARCH (2017)
Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review
Tomaso Poggio et al.
INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING (2017)
Inference of effective river properties from remotely sensed observations of water surface
Pierre-Andre Garambois et al.
ADVANCES IN WATER RESOURCES (2015)
An improved algorithm for the shallow water equations model reduction: Dynamic Mode Decomposition vs POD
D. A. Bistrian et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS (2015)
Numerical Modeling of Rainfall-Generated Overland Flow Using Nonlinear Shallow-Water Equations
Jaswant Singh et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2015)
Using thermal tracers to estimate flow velocities of shallow flows: laboratory and field experiments
Rui L. P. de Lima et al.
JOURNAL OF HYDROLOGY AND HYDROMECHANICS (2015)
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
Peter Benner et al.
SIAM REVIEW (2015)
A simple and efficient unstructured finite volume scheme for solving the shallow water equations in overland flow applications
L. Cea et al.
WATER RESOURCES RESEARCH (2015)
Comparison of POD reduced order strategies for the nonlinear 2D shallow water equations
Razvan Stefanescu et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS (2014)
Bathymetry Estimation Using Drifter-Based Velocity Measurements on the Kootenai River, Idaho
Kyle C. Landon et al.
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2014)
Large-scale hydraulic tomography and joint inversion of head and tracer data using the Principal Component Geostatistical Approach (PCGA)
J. Lee et al.
WATER RESOURCES RESEARCH (2014)
Principal Component Geostatistical Approach for large-dimensional inverse problems
P. K. Kitanidis et al.
WATER RESOURCES RESEARCH (2014)
Remotely Sensed Empirical Modeling of Bathymetry in the Southeastern Caspian Sea
Mehdi Gholamalifard et al.
REMOTE SENSING (2013)
Ensemble-Based Data Assimilation for Estimation of River Depths
Greg Wilson et al.
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2012)
Estimating river bathymetry from data assimilation of synthetic SWOT measurements
Yeosang Yoon et al.
JOURNAL OF HYDROLOGY (2012)
Quantifying riverine surface currents from time sequences of thermal infrared imagery
Jack A. Puleo et al.
WATER RESOURCES RESEARCH (2012)
Approaching bathymetry estimation from high resolution multispectral satellite images using a neuro-fuzzy technique
Linda Corucci et al.
JOURNAL OF APPLIED REMOTE SENSING (2011)
Efficient Implicit Finite-Element Hydrodynamic Model for Dam and Levee Breach
Gaurav Savant et al.
JOURNAL OF HYDRAULIC ENGINEERING (2011)
Remote sensing of water depths in shallow waters via artificial neural networks
Oezcelik Ceyhun et al.
ESTUARINE COASTAL AND SHELF SCIENCE (2010)
A simple finite volume method for the shallow water equations
Fayssal Benkhaldoun et al.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2010)
Solving the nonlinear shallow-water equations in physical space
M. Antuono et al.
JOURNAL OF FLUID MECHANICS (2010)
Solving the Shallow Water equations using 2D SPH particles for interactive applications
Hyokwang Lee et al.
VISUAL COMPUTER (2010)
Remote Sensing of Channels and Riparian Zones with a Narrow-Beam Aquatic-Terrestrial LIDAR
Jim McKean et al.
REMOTE SENSING (2009)
Assessing the ability of airborne LiDAR to map river bathymetry
Robert C. Hilldale et al.
EARTH SURFACE PROCESSES AND LANDFORMS (2008)
Large-scale particle image velocimetry for measurements in riverine environments
M. Muste et al.
WATER RESOURCES RESEARCH (2008)
Incremental learning for robust visual tracking
David A. Ross et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2008)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
The topographic data source of digital terrain models as a key element in the accuracy of hydraulic flood modelling
A Casas et al.
EARTH SURFACE PROCESSES AND LANDFORMS (2006)
Numerical solution of the two-dimensional shallow water equations by the application of relaxation methods
AI Delis et al.
APPLIED MATHEMATICAL MODELLING (2005)