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Study on the Bathymetry Inversion by Active and Passive Remote Sensing with Landsat-8 Images and LiDAR Data
Pages: 1-8
Year: Issue:  2
Journal: Ocean Technology

Keyword:  LiDAR bathymetryremote sensing bathymetry inversionstatistical approach;
Abstract: Traditional bathymetry methods have the drawbacks of small coverage, long duration and high energy consumption, while the bathymetry inversion around islands by integrated active and passive remote sensing can not only overcome the weakness of traditional methods, but also provide fundamental data for shipping safety, marine disaster reduction and marine eco-environmental protection. Taking the Oahu Island of Hawaii as an example, this paper studies the impacts of different point-density LiDAR data and different gridding approaches on the inversion accuracy, as well as analyzes the ability of large-scale water depth inversion using a few LiDAR controlled blocks based on the multi-spectral images of Landsat-8 and LiDAR bathymetry data. The following results have been obtained. (1) The inversion accuracy is not severely affected by the change of point-density of LiDAR data, with the difference of mean relative error lower than 0.3% and mean absolute error less than 0.03 m. (2) The bathymetry inversion accuracy with the equalization method is slightly higher than that with the median method, which is proved by the fact that the mean absolute error of the equalized value decreases by 0.04-0.05 m as against that of the median value, with the mean relative error lowering by 1%-10%. Besides, the residual distribution of inversion results shows that the equalization approach has a more concentrated residual and its mean value is close to 0 m in the depth ranges of 0-2 m and 20-25 m, while both approaches show a basically same distribution trend in other depth ranges. (3) Bathymetry inversion based on a few LiDAR controlled blocks achieves relatively ideal results. The R 2, mean absolute error and mean relative error of 2 check blocks are 0.877, 1.66 m, 23.5% and 0.941, 1.62 m, 28.4%, respectively. Analysis indicates that the inversion precisions in different depth ranges are satisfactory in general. Except the 20-25 m range, almost all the mean absolute errors are below 2.5 m; and only the ranges of 0-2 m and 2-5 m have the mean absolute error of beyond 25%.
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