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The Extended Stumpf Model for Water Depth Retrieval From Satellite Multispectral Images

Guoqing Zhou, Jinwei Li, Zhou Tian, Jiasheng Xu, Yuhang Bai

2024IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing58 citationsDOIOpen Access PDF

Abstract

The commonly used water depth retrieval models do not consider the influence from instantaneous tidal fluctuations during satellite flying, which causes bathymetric errors. For this reason, the wavelet spline instantaneous tidal correction model, which is applied to calculate accurate tidal heights for any moment of satellite flight, is established for correction of water depth retrieval from satellite multispectral images. Two study areas, Saipan Island and Molokai Island in the United States, are selected, and Landsat 8 images are used to verify the accuracy achieved by the proposed model. 15 bathymetric check points, and three check lines in each of study area are used to further verify the absolute and relative accuracy achievable for the proposed model. The experimental results from our model demonstrated that the mean absolute errors (relative to reference data) in study area, Saipan, and Molokai are 1.42 m and 1.5 m, both of which decrease by 33.33% and 27.54%, respectively. The RMSE are 1.67 m and 1.83 m, both of which decrease by 31.84%, and 27.09%, respectively. Therefore, it can be concluded that the proposed model can largely increase the accuracy of water depth retrieval by satellite multispectral images

Topics & Concepts

Multispectral imageSatelliteRemote sensingComputer scienceGeologyArtificial intelligenceComputer visionEngineeringAerospace engineeringAdvanced Computational Techniques and Applications
The Extended Stumpf Model for Water Depth Retrieval From Satellite Multispectral Images | Litcius