Satellite derived bathymetry using deep learning [PDF]
Machine Learning, 2021 Coastal development and urban planning are facing different issues including natural disasters and extreme storm events. The ability to track and forecast the evolution of the physical characteristics of coastal areas over time is an important factor in coastal development, risk mitigation and overall coastal zone management.
Al Najar, Mahmoud +5 more
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An Approach to Minimize Atmospheric Correction Error and Improve Physics-Based Satellite-Derived Bathymetry in a Coastal Environment [PDF]
Remote Sensing, 2020 Physics-based radiative transfer model (RTM) inversion methods have been developed and implemented for satellite-derived bathymetry (SDB); however, precise atmospheric correction (AC) is required for robust bathymetry retrieval.
Christopher O. Ilori, Anders Knudby
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A VGGNet-Based Method for Refined Bathymetry from Satellite Altimetry to Reduce Errors
Remote Sensing, 2022 Only approximately 20% of the global seafloor topography has been finely modeled. The rest either lacks data or its data are not accurate enough to meet practical requirements.
Xiaolun Chen +7 more
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Automated classification of valid and invalid satellite derived bathymetry with random forest
International Journal of Applied Earth Observations and GeoinformationRecent decades have seen rapid growth in algorithms and workflows for generating bathymetry from multispectral satellite imagery, with the output typically referred to as satellite derived bathymetry (SDB).
Matthew B. Sharr +2 more
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A COMBINED COLOR AND WAVE-BASED APPROACH TO SATELLITE DERIVED BATHYMETRY USING DEEP LEARNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Knowledge of the evolution of the littoral zone over time is paramount for coastal science and coastal zone management. However, traditional bathymetric surveys using echo-sounding techniques are unsuitable for large-scale applications due to a variety ...
M. Al Najar +9 more
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Confronting turbidity, the major challenge for satellite-derived coastal bathymetry
Science of The Total Environment, 2023 Monitoring the complex seafloor morphology that drives the functioning of shallow coastal ecosystems is vital for assessing marine activities. Satellite-derived bathymetry (SDB) can provide a crucial dataset for creating the bathymetry maps needed to understand hazards and impacts produced by climate change in vulnerable coastal zones. SDB is effective
Caballero, Isabel, Stumpf, Richard P.
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Satellite-Derived Bathymetry of an Inland Reservoir in India
, 2023 <p>Estimating depth of water columns in reservoirs, referred to as bathymetry, is an important task in water resource management. Satellite-derived bathymetry (SDB), where depths of water columns are estimated using satellite data, is an emerging and promising technique, especially for shallow-water scenarios.
M. Selva Balan +2 more
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Improved Bathymetry Estimation Using Satellite Altimetry-Derived Gravity Anomalies and Machine Learning in the East Sea [PDF]
Journal of Marine Science and EngineeringThis study aims to improve the accuracy of bathymetry predicted by gravity-geologic method (GGM) using the optimal machine learning model selected from machine learning techniques.
Kwang Bae Kim, Jisung Kim, Hong Sik Yun
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Preliminary Results of Satellite-Derived Nearshore Bathymetry
IV Conference on Geomatics EngineeringThis article presents the preliminary results of a study on satellite-derived bathymetry. The purpose of this research is to explore the use of remote sensing and optical imagery for mapping the depth of coastal waters. This study uses empirical models to estimate the water depth based on the optical properties of the water column.
Ausiàs Roch-Talens +2 more
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Performance of Haiyang-2 Derived Gravity Field Products in Bathymetry Inversion
Remote Sensing, 2022 Haiyang-2A (HY-2A), China’s first altimetry satellite mission, was launched more than ten years ago, and its follow-up satellites, HY-2B, HY-2C, and HY-2D, have also been launched.
Xiaoyun Wan +3 more
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