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Bathymetric data for Israeli coastal micro-estuaries [PDF]

Data in Brief, 2023
Data from a bathymetric mapping project conducted in seven Israeli coastal micro-estuaries (Lachish, Sorek, Yarkon, Alexander, Hadera, Taninim, and Kishon) is presented.
Yair Suari, Dror Suari, Yonatan Suari, Tal Sade, Hadar Sedaka, Tom Topaz   +5 more
doaj   +4 more sources

ICESat-2 Bathymetric Signal Reconstruction Method Based on a Deep Learning Model with Active–Passive Data Fusion

Remote Sensing, 2023
When carrying out SDB (satellite-derived bathymetry) in island area based on ICESat-2 (Ice, Cloud, and land Elevation Satellite 2) data, it is often found that the ICESat-2 bathymetric signals are partially missing due to the influence of thick aerosols ...
Jingyu Zhang, Yi Ma
exaly   +3 more sources

Machine-Learning-Method-Based Inversion of Shallow Bathymetric Maps Using ICESat-2 ATL03 Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The application of empirical methods for satellite-derived bathymetry is limited by the lack of in situ bathymetric data in remote, inaccessible areas.
Tao Xie, Abdul Nurunnabi, Shuying Bai
exaly   +3 more sources

Construction of High-Resolution Bathymetric Dataset for the Mariana Trench

IEEE Access, 2019
Access to reliable and accurate bathymetric data is fundamental to many marine activities. This paper proposes a merge-normalization (MN) method that is suitable for multisource bathymetric data fusion in deep ocean areas, to solve the problem of ...
Ziyin Wu, Dineng Zhao, Jieqiong Zhou
exaly   +3 more sources

Evaluation of the Accuracy of Bathymetry on the Nearshore Coastlines of Western Korea from Satellite Altimetry, Multi-Beam, and Airborne Bathymetric LiDAR

Sensors, 2018
Bathymetric mapping is traditionally implemented using shipborne single-beam, multi-beam, and side-scan sonar sensors. Procuring bathymetric data near coastlines using shipborne sensors is difficult, however, this type of data is important for maritime ...
Jurng-Jae Yee, Hong Yun, Kwang W Kim
exaly   +3 more sources

The Manning’s Roughness Coefficient Calibration Method to Improve Flood Hazard Analysis in the Absence of River Bathymetric Data: Application to the Urban Historical Zamora City Centre in Spain

Applied Sciences, 2021
The accurate estimation of flood risk depends on, among other factors, a correct delineation of the floodable area and its associated hydrodynamic parameters.
Julio Garrote, Miguel González-Jiménez, Carolina Guardiola-Albert, Andrés Díez-Herrero   +3 more
doaj   +1 more source

Automating the Management of 300 Years of Ocean Mapping Effort in Order to Improve the Production of Nautical Cartography and Bathymetric Products: Shom’s Téthys Workflow

Geomatics, 2023
With more than 300 years of existence, Shom is the oldest active hydrographic service in the world. Compiling and deconflicting this much history automatically is a real challenge.
Julian Le Deunf, Thierry Schmitt, Yann Keramoal, Ronan Jarno, Morvan Fally   +4 more
doaj   +1 more source

Improve the Accuracy of Water Storage Estimation—A Case Study from Two Lakes in the Hohxil Region of North Tibetan Plateau

Remote Sensing, 2021
Lake water storage is essential information for lake research. Previous studies usually used bathymetric data to acquire underwater topography by interpolation method, and to therefore estimate water storage.
Baojin Qiao, Jianting Ju, Liping Zhu, Hao Chen, Jinlei Kai, Qiangqiang Kou   +5 more
doaj   +1 more source

Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study

Remote Sensing, 2021
In this contribution, interpolation methods were assessed to build the bathymetry of 200 km of the Odra River in South Poland. The River Bed Mapping (RBM) was carried out surveying the depth of several reaches of the canalized part of the river using an ...
Anna Uciechowska-Grakowicz, Oscar Herrera-Granados   +1 more
doaj   +1 more source

Comparative Analysis of Selected Geostatistical Methods for Bottom Surface Modeling

Sensors, 2023
Digital bottom models are commonly used in many fields of human activity, such as navigation, harbor and offshore technologies, or environmental studies. In many cases, they are the basis for further analysis.
Patryk Biernacik, Witold Kazimierski, Marta Włodarczyk-Sielicka   +2 more
doaj   +1 more source