Recovery of bathymetry from altimeter data
Huang Motao, Guojun Zhai, Ouyang Yongzhong, Bian Shaofeng
Abstract
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Huang Motao, Guojun Zhai, Ouyang Yongzhong, Bian Shaofeng
Abstract
Open-access reader
At present, there exist two methods used to recover the bathymetry from altimeter data, i. e. the deterministic method and the stochastic method. In this paper, the principles of the two methods are introduced first. Then according to the theory of least-square collocation, a modified statistical model for recovering bathymetry from altimeter data is proposed. The new model has been used for computing the ocean depth in the South China Sea from altimeter-derived gravity anomalies. Finally the predicted depths are compared with the ship-borne depth. It shows that they agree with each other very well.
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At present, there exist two methods used to recover the bathymetry from altimeter data, i. e. the deterministic method and the stochastic method. In this paper, the principles of the two methods are introduced first. Then according to the theory of least-square collocation, a modified statistical model for recovering bathymetry from altimeter data is proposed. The new model has been used for computing the ocean depth in the South China Sea from altimeter-derived gravity anomalies. Finally the predicted depths are compared with the ship-borne depth. It shows that they agree with each other very well.
Key concepts: Bathymetry, Altimeter, Collocation (remote sensing), Geology, Satellite altimetry, Geodesy, Remote sensing, Oceanography