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Review of near-shore satellite derived bathymetry: Classification and account of five decades of coastal bathymetry research
The number of civilian, commercial and military applications are dependant on accurate
knowledge of bathymetry of coastal regions. Conventionally, hydrographic surveying …
knowledge of bathymetry of coastal regions. Conventionally, hydrographic surveying …
Incorporation of neighborhood information improves performance of SDB models
Map** of water depth in nearshore waters is important for safe navigation and other
human uses of coastal areas. Optical satellite imagery offers a cost-efficient source of data …
human uses of coastal areas. Optical satellite imagery offers a cost-efficient source of data …
Semi-automated bathymetry using Sentinel-2 for coastal monitoring in the Western Mediterranean
Nearshore bathymetry is one of the main parameters used in coastal studies. However,
regular and continuous bathymetries are scarce due to the difficulty of continuous data …
regular and continuous bathymetries are scarce due to the difficulty of continuous data …
Water depth estimation from Sentinel-2 imagery using advanced machine learning methods and explainable artificial intelligence
The estimation of water depth in coastal areas and shallow waters is crucial for marine
management and monitoring. However, direct measurements using fieldwork methods can …
management and monitoring. However, direct measurements using fieldwork methods can …
Hybrid artificial neural networks for modeling shallow-water bathymetry via satellite imagery
Accurate bathymetric map** for shallow-water areas is essential for coastal and maritime
engineering applications. However, traditional multibeam or light detection and ranging …
engineering applications. However, traditional multibeam or light detection and ranging …
Monitoring coastal water flow dynamics using sub-daily high-resolution SkySat satellite and UAV-based imagery
Sub-daily tracking of dynamic features and events using high spatial resolution satellite
imagery has only recently become possible, with advanced observational capabilities now …
imagery has only recently become possible, with advanced observational capabilities now …
Analysis of univariate linear, robust-linear, and non-linear machine learning algorithms for satellite-derived bathymetry in complex coastal terrain
The blue economic, maritime, and exploration activities rely on precise knowledge of coastal
bathymetry. The recent trends in Satellite-Derived Bathymetry (SDB) research have focused …
bathymetry. The recent trends in Satellite-Derived Bathymetry (SDB) research have focused …
[HTML][HTML] Bathymetric modelling of high mountain tropical Lakes of Southern Ecuador
Very little is known on high mountain tropical lakes of South America. Thus, the main
motivation of this research was obtaining base bathymetric data of 119 tropical lakes of the …
motivation of this research was obtaining base bathymetric data of 119 tropical lakes of the …
Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2
MA Merchant - Advances in Space Research, 2023 - Elsevier
Lakes and ponds are extensive features throughout the circumpolar region, spanning a
broad range of environmental conditions which controls their hydro-ecological processes …
broad range of environmental conditions which controls their hydro-ecological processes …
Shallow water bathymetry based on a back propagation neural network and ensemble learning using multispectral satellite imagery
S Chu, L Cheng, J Cheng, X Zhang, J Zhang… - Acta Oceanologica …, 2023 - Springer
The back propagation (BP) neural network method is widely used in bathymetry based on
multispectral satellite imagery. However, the classical BP neural network method faces a …
multispectral satellite imagery. However, the classical BP neural network method faces a …