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Comparative Study on Multi-Model Detection of Water Depth Based on GF-2 Multi-Spectral Data: A Case Study of the Pingzhou Island, Hong Kong
Pages: 66-72
Year: Issue:  6
Journal: Journal of Ocean Technology

Keyword:  GF-2water depth remote sensinglogarithmic modelPingzhou Island;
Abstract: Water depth is an important topographic factor in shallow water. There have been advantages such as economy and efficiency for detecting water depth by using remote sensing. In this paper, GF-2 multi-spectral remote sensing data are used, and log-linear model with different band combinations, Stumpf log-transport ratio model and improved log-transform ratio model are applied to detect the water depth around the Pingzhou Island in Hong Kong. The results show that the logarithmic linear model of B1, B2, B3 and B4(blue, green, red and near-infrared) achieves the highest inversion accuracy. The mean absolute error(MAE) of the checkpoint is1.63 m, the mean relative error(MRE) is 12.67%, and the coefficient of determination R2 is 0.80. The three models is used to analyze the inversion accuracy in different water depths range of 0-5 m, 5-10 m, 10-15 m and15-20 m, and it is found that the water depth inversion result in 10-15 m water depth is the best with the mean absolute error of 1.09 m and the mean relative error of 8.99%. The inversion error of 10 m or shallower and 15 m or deeper water depth is worse than that of water depth of 10-15 m. It is indicated that the above mentioned model is more suitable for medium shallow water applications.
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