The Gravity-Geologic Method (GGM) is widely used to predict bathymetry from satellite-derived gravity anomalies, yet a robust framework for quantifying the uncertainty of its predictions is lacking. Traditional approaches often assume homoscedastic, Gaussian-distributed errors, which do not hold in complex terrains. Th...
Chao Wang, Jie-Ru Zhan, Lu Hua et al.· Computational Geosciences· 0 citations
The Gravity-Geologic Method (GGM) is widely used to predict bathymetry from satellite-derived gravity anomalies, yet a robust framework for quantifying the uncertainty of its predictions is lacking. Traditional approaches often assume homoscedastic, Gaussian-distributed errors, which do not hold in complex terrains. Th...
Chao Wang, Jie-Ru Zhan, Lu Hua et al.· Computational Geosciences· 0 citations
Mapping seafloor topography is of great significance for deep-sea navigation, marine resource exploration, and aquatic ecosystem conservation. Advances in bathymetric surveying technology have progressively enriched our understanding of the oceans. However, due to the high cost and low coverage of ship-based surveys, e...
Jia Hu, Yi-Feng Luo, Chao Wang et al.· Deutsche Hydrographische Zei...· 1 citation
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