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Articles

1996: Vol. LXXIII, No. 2

The Effect of Data Density on the Accuracy of Foot-Line Determination Through Maximum Curvature Surface by Automatic Ridge-Tracing Algorithm

Soumise
juillet 30, 2015
Publié-e
2015-05-21

Résumé

The influence of data density on the accuracy of foot-line determination by the automatic ridge-tracing algorithm is investigated through a set of simulated bathymetric surfaces. The results show that no obvious differences exist for different sea bottom morphology, different depths and gradients of continental slope when data are dense enough, i.e., when the data interval is smaller than some 12.5 km. When the data are very sparse, the accuracy of the foot-line determination becomes worse as the surfaces become more complicated or the gradients become steep. Approximately, the root mean square error of foot-line determination is equal to one third of the data interval and the areal error is 23km2/100km foot-line length per one kilometre of the data interval.