Abstract
Abstract. South Sea Islands of China are far away from the mainland, the reefs takes more than 95% of south sea, and most reefs scatter over interested dispute sensitive area. Thus, the methods of obtaining the reefs bathymetry accurately are urgent to be developed. Common used method, including sonar, airborne laser and remote sensing estimation, are limited by the long distance, large area and sensitive location. Remote sensing data provides an effective way for bathymetry estimation without touching over large area, by the relationship between spectrum information and bathymetry. Aimed at the water quality of the south sea of China, our paper develops a bathymetry estimation method without measured water depth. Firstly the semi-analytical optimization model of the theoretical interpretation models has been studied based on the genetic algorithm to optimize the model. Meanwhile, OpenMP parallel computing algorithm has been introduced to greatly increase the speed of the semi-analytical optimization model. One island of south sea in China is selected as our study area, the measured water depth are used to evaluate the accuracy of bathymetry estimation from Worldview-2 multispectral images. The results show that: the semi-analytical optimization model based on genetic algorithm has good results in our study area;the accuracy of estimated bathymetry in the 0-20 meters shallow water area is accepted.Semi-analytical optimization model based on genetic algorithm solves the problem of the bathymetry estimation without water depth measurement. Generally, our paper provides a new bathymetry estimation method for the sensitive reefs far away from mainland.
Highlights
Shallow bathymetry around the sea reefs or islands is important to the terrain elements, and is the premise of marine work.Commonly used bathymetry estimation models are the combination of semi-empiricaland semi-theoretical model, depending on certain theoretical and empirical parameters
The application and accuracy of these models are limited by the usable and precision of measured depth data before model construction, which is difficult to obtainfor the islands or reefs far away from the mainland. the theoretical models based on the radiation field distribution of sea water are selected to estimate the bathymetry by remote sensing data in this paper
Worldview-2 remote sensing image is used for bathymetry estimation
Summary
Shallow bathymetry around the sea reefs or islands is important to the terrain elements, and is the premise of marine work.Commonly used bathymetry estimation models are the combination of semi-empiricaland semi-theoretical model, depending on certain theoretical and empirical parameters. The application and accuracy of these models are limited by the usable and precision of measured depth data before model construction, which is difficult to obtainfor the islands or reefs far away from the mainland. the theoretical models based on the radiation field distribution of sea water are selected to estimate the bathymetry by remote sensing data in this paper. Derived the surface remote-sensing reflectance for the shallow waters,and obtained the bathymetry, but the model is only a theoretical experiment.Based on the simplified model of the radiative transfer equation by. By referencing ocean biomass estimation in the ocean color remote sensing, the semi-analytical model is establishedto estimate the bathymetry.
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